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  • 1.
    Agullo, Luis
    et al.
    Univ Vic Cent Univ Catalonia UVIC UCC, Dept Syst Biol, U Sci Tech, Sagrada Familia 7, Vic 08500, Spain..
    Buch, Ignasi
    Hosp Del Mar Med Res Inst IMIM, Computat Biophys Lab, Barcelona 08003, Spain..
    Gutierrez-de-Teran, Hugo
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics.
    Garcia-Dorado, David
    Vall DHebron Res Inst VHIR, Cardiocirculatory Pathol Grp, Barcelona 08035, Spain..
    Villa-Freixa, Jordi
    Univ Vic Cent Univ Catalonia UVIC UCC, Dept Syst Biol, U Sci Tech, Sagrada Familia 7, Vic 08500, Spain..
    Computational exploration of the binding mode of heme-dependent stimulators into the active catalytic domain of soluble guanylate cyclase2016In: Proteins: Structure, Function, and Bioinformatics, ISSN 0887-3585, E-ISSN 1097-0134, Vol. 84, no 10, p. 1534-1548Article in journal (Refereed)
    Abstract [en]

    Soluble guanylate cyclase (sGC), the main target of nitric oxide (NO), has been proven to have a significant role in coronary artery disease, pulmonary hypertension, erectile dysfunction, and myocardial infarction. One of its agonists, BAY 41-2272 (Riociguat), has been recently approved for treatment of pulmonary arterial hypertension (PHA), while some others are in clinical phases of development. However, the location of the binding sites for the two known types of agonists, heme-dependent stimulators and heme-independent activators, is a matter of debate, particularly for the first group where both a location on the regulatory (H-NOX) and on the catalytic domain have been suggested by different authors. Here, we address its potential location on the catalytic domain, the unique well characterized at the structural level, by an in silico approach. Homology models of the catalytic domain of sGC in inactive or active conformations were constructed using the structure of previously described crystals of the catalytic domains of inactive sGCs (2WZ1, 3ET6) and of active adenylate cyclase (1CJU). Each model was submitted to six independent molecular dynamics simulations of about 1 s. Docking of YC-1, a classic heme-dependent stimulator, to all frames of representative trajectories of inactive and active conformations, followed by calculation of absolute binding free energies with the linear interaction energy (LIE) method, revealed a potential high-affinity binding site on the active structure. The site, located between the pseudo-symmetric and the catalytic site just over the loop (2)-(3), does not overlap with the forskolin binding site on adenylate cyclases.

  • 2.
    Aken, Bronwen L.
    et al.
    European Bioinformat Inst Wellcome Genome Campus, European Mol Biol Lab, Cambridge CB10 1SD, England.;Wellcome Trust Sanger Inst Wellcome Genome Campus, Cambridge CB10 1SA, England..
    Ayling, Sarah
    Wellcome Trust Sanger Inst Wellcome Genome Campus, Cambridge CB10 1SA, England.;Genome Anal Ctr, Norwich Res Pk, Norwich NR4 7UH, Norfolk, England..
    Barrell, Daniel
    European Bioinformat Inst Wellcome Genome Campus, European Mol Biol Lab, Cambridge CB10 1SD, England.;Wellcome Trust Sanger Inst Wellcome Genome Campus, Cambridge CB10 1SA, England.;Eagle Genom Ltd, Babraham Res Campus, Cambridge CB22 3AT, England..
    Clarke, Laura
    Wellcome Trust Sanger Inst Wellcome Genome Campus, Cambridge CB10 1SA, England.;European Bioinformat Inst, European Mol Biol Lab, Wellcome Genome Campus, Cambridge CB10 1SD, England..
    Curwen, Valery
    Wellcome Trust Sanger Inst Wellcome Genome Campus, Cambridge CB10 1SA, England..
    Fairley, Susan
    Wellcome Trust Sanger Inst Wellcome Genome Campus, Cambridge CB10 1SA, England.;European Bioinformat Inst, European Mol Biol Lab, Wellcome Genome Campus, Cambridge CB10 1SD, England..
    Banet, Julio Fernandez
    Wellcome Trust Sanger Inst Wellcome Genome Campus, Cambridge CB10 1SA, England.;Pfizer Inc, 10646 Sci Ctr Dr, San Diego, CA 92121 USA..
    Billis, Konstantinos
    European Bioinformat Inst Wellcome Genome Campus, European Mol Biol Lab, Cambridge CB10 1SD, England.;Wellcome Trust Sanger Inst Wellcome Genome Campus, Cambridge CB10 1SA, England..
    Giron, Carlos Garcia
    European Bioinformat Inst Wellcome Genome Campus, European Mol Biol Lab, Cambridge CB10 1SD, England.;Wellcome Trust Sanger Inst Wellcome Genome Campus, Cambridge CB10 1SA, England..
    Hourlier, Thibaut
    European Bioinformat Inst Wellcome Genome Campus, European Mol Biol Lab, Cambridge CB10 1SD, England.;Wellcome Trust Sanger Inst Wellcome Genome Campus, Cambridge CB10 1SA, England..
    Howe, Kevin
    Wellcome Trust Sanger Inst Wellcome Genome Campus, Cambridge CB10 1SA, England.;European Bioinformat Inst, European Mol Biol Lab, Wellcome Genome Campus, Cambridge CB10 1SD, England..
    Kähäri, Andreas
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics. Wellcome Trust Sanger Inst Wellcome Genome Campus, Cambridge CB10 1SA, England.
    Kokocinski, Felix
    Wellcome Trust Sanger Inst Wellcome Genome Campus, Cambridge CB10 1SA, England..
    Martin, Fergal J.
    European Bioinformat Inst Wellcome Genome Campus, European Mol Biol Lab, Cambridge CB10 1SD, England.;Wellcome Trust Sanger Inst Wellcome Genome Campus, Cambridge CB10 1SA, England..
    Murphy, Daniel N.
    European Bioinformat Inst Wellcome Genome Campus, European Mol Biol Lab, Cambridge CB10 1SD, England.;Wellcome Trust Sanger Inst Wellcome Genome Campus, Cambridge CB10 1SA, England..
    Nag, Rishi
    European Bioinformat Inst Wellcome Genome Campus, European Mol Biol Lab, Cambridge CB10 1SD, England.;Wellcome Trust Sanger Inst Wellcome Genome Campus, Cambridge CB10 1SA, England..
    Ruffier, Magali
    Wellcome Trust Sanger Inst Wellcome Genome Campus, Cambridge CB10 1SA, England.;European Bioinformat Inst, European Mol Biol Lab, Wellcome Genome Campus, Cambridge CB10 1SD, England..
    Schuster, Michael
    European Bioinformat Inst Wellcome Genome Campus, European Mol Biol Lab, Cambridge CB10 1SD, England.;Austrian Acad Sci, CeMM Res Ctr Mol Med, A-1090 Vienna, Austria..
    Tang, Y. Amy
    Wellcome Trust Sanger Inst Wellcome Genome Campus, Cambridge CB10 1SA, England.;European Bioinformat Inst, European Mol Biol Lab, Wellcome Genome Campus, Cambridge CB10 1SD, England..
    Vogel, Jan-Hinnerk
    Wellcome Trust Sanger Inst Wellcome Genome Campus, Cambridge CB10 1SA, England.;Genentech Inc, 1 DNAWay, San Francisco, CA 94080 USA..
    White, Simon
    Wellcome Trust Sanger Inst Wellcome Genome Campus, Cambridge CB10 1SA, England.;Baylor Coll Med, Human Genome Sequencing Ctr, Houston, TX 77030 USA..
    Zadissa, Amonida
    Wellcome Trust Sanger Inst Wellcome Genome Campus, Cambridge CB10 1SA, England.;European Bioinformat Inst, European Mol Biol Lab, Wellcome Genome Campus, Cambridge CB10 1SD, England..
    Flicek, Paul
    European Bioinformat Inst Wellcome Genome Campus, European Mol Biol Lab, Cambridge CB10 1SD, England.;Wellcome Trust Sanger Inst Wellcome Genome Campus, Cambridge CB10 1SA, England..
    Searle, Stephen M. J.
    Wellcome Trust Sanger Inst Wellcome Genome Campus, Cambridge CB10 1SA, England..
    The Ensembl gene annotation system2016In: Database: The Journal of Biological Databases and Curation, ISSN 1758-0463, E-ISSN 1758-0463, article id baw093Article in journal (Refereed)
    Abstract [en]

    The Ensembl gene annotation system has been used to annotate over 70 different vertebrate species across a wide range of genome projects. Furthermore, it generates the automatic alignment-based annotation for the human and mouse GENCODE gene sets. The system is based on the alignment of biological sequences, including cDNAs, proteins and RNA-seq reads, to the target genome in order to construct candidate transcript models. Careful assessment and filtering of these candidate transcripts ultimately leads to the final gene set, which is made available on the Ensembl website. Here, we describe the annotation process in detail.

  • 3.
    Ameur, Adam
    et al.
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology. Natl Genom Infrastruct, Sci Life Lab, Stockholm, Sweden..
    Dahlberg, Johan
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular Medicine. Natl Genom Infrastruct, Sci Life Lab, Stockholm, Sweden.
    Olason, Pall
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology. Natl Bioinformat Infrastruct, Sci Life Lab, Stockholm, Sweden..
    Vezzi, Francesco
    Natl Genom Infrastruct, Sci Life Lab, Stockholm, Sweden.;Stockholm Univ, Dept Biochem & Biophys, Sci Life Lab, Stockholm, Sweden..
    Karlsson, Robert
    Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden..
    Martin, Marcel
    Natl Bioinformat Infrastruct, Sci Life Lab, Stockholm, Sweden.;Stockholm Univ, Dept Biochem & Biophys, Sci Life Lab, Stockholm, Sweden..
    Viklund, Johan
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics. Natl Bioinformat Infrastruct, Sci Life Lab, Stockholm, Sweden..
    Kähäri, Andreas
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics. Natl Bioinformat Infrastruct, Sci Life Lab, Stockholm, Sweden..
    Lundin, Par
    Stockholm Univ, Dept Biochem & Biophys, Sci Life Lab, Stockholm, Sweden..
    Che, Huiwen
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology.
    Thutkawkorapin, Jessada
    Karolinska Inst, Dept Mol Med & Surg, Stockholm, Sweden..
    Eisfeldt, Jesper
    Karolinska Inst, Dept Mol Med & Surg, Stockholm, Sweden..
    Lampa, Samuel
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Pharmaceutical Biosciences. Natl Bioinformat Infrastruct, Sci Life Lab, Stockholm, Sweden.
    Dahlberg, Mats
    Natl Bioinformat Infrastruct, Sci Life Lab, Stockholm, Sweden.;Stockholm Univ, Dept Biochem & Biophys, Sci Life Lab, Stockholm, Sweden..
    Hagberg, Jonas
    Natl Bioinformat Infrastruct, Sci Life Lab, Stockholm, Sweden.;Stockholm Univ, Dept Biochem & Biophys, Sci Life Lab, Stockholm, Sweden..
    Jareborg, Niclas
    Natl Bioinformat Infrastruct, Sci Life Lab, Stockholm, Sweden.;Stockholm Univ, Dept Biochem & Biophys, Sci Life Lab, Stockholm, Sweden..
    Liljedahl, Ulrika
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular Medicine. Natl Genom Infrastruct, Sci Life Lab, Stockholm, Sweden.
    Jonasson, Inger
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology. Natl Genom Infrastruct, Sci Life Lab, Stockholm, Sweden..
    Johansson, Åsa
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Medicinsk genetik och genomik.
    Feuk, Lars
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Medicinsk genetik och genomik.
    Lundeberg, Joakim
    Natl Genom Infrastruct, Sci Life Lab, Stockholm, Sweden.;Royal Inst Technol, Div Gene Technol, Sch Biotechnol, Sci Life Lab, Stockholm, Sweden..
    Syvänen, Ann-Christine
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular Medicine. Natl Genom Infrastruct, Sci Life Lab, Stockholm, Sweden.
    Lundin, Sverker
    Royal Inst Technol, Div Gene Technol, Sch Biotechnol, Sci Life Lab, Stockholm, Sweden..
    Nilsson, Daniel
    Karolinska Inst, Dept Mol Med & Surg, Stockholm, Sweden..
    Nystedt, Björn
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular Evolution. Natl Bioinformat Infrastruct, Sci Life Lab, Stockholm, Sweden..
    Magnusson, Patrik K. E.
    Natl Genom Infrastruct, Sci Life Lab, Stockholm, Sweden.;Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden..
    Gyllensten, Ulf B.
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Medicinsk genetik och genomik.
    SweGen: a whole-genome data resource of genetic variability in a cross-section of the Swedish population2017In: European Journal of Human Genetics, ISSN 1018-4813, E-ISSN 1476-5438, Vol. 25, no 11, p. 1253-1260Article in journal (Refereed)
    Abstract [en]

    Here we describe the SweGen data set, a comprehensive map of genetic variation in the Swedish population. These data represent a basic resource for clinical genetics laboratories as well as for sequencing-based association studies by providing information on genetic variant frequencies in a cohort that is well matched to national patient cohorts. To select samples for this study, we first examined the genetic structure of the Swedish population using high-density SNP-array data from a nation-wide cohort of over 10 000 Swedish-born individuals included in the Swedish Twin Registry. A total of 1000 individuals, reflecting a cross-section of the population and capturing the main genetic structure, were selected for whole-genome sequencing. Analysis pipelines were developed for automated alignment, variant calling and quality control of the sequencing data. This resulted in a genome-wide collection of aggregated variant frequencies in the Swedish population that we have made available to the scientific community through the website https://swefreq.nbis.se. A total of 29.2 million single-nucleotide variants and 3.8 million indels were detected in the 1000 samples, with 9.9 million of these variants not present in current databases. Each sample contributed with an average of 7199 individual-specific variants. In addition, an average of 8645 larger structural variants (SVs) were detected per individual, and we demonstrate that the population frequencies of these SVs can be used for efficient filtering analyses. Finally, our results show that the genetic diversity within Sweden is substantial compared with the diversity among continental European populations, underscoring the relevance of establishing a local reference data set.

  • 4.
    Asp, Michaela
    et al.
    KTH Royal Inst Technol, Div Gene Technol, Sci Life Lab, Stockholm, Sweden..
    Salmen, Fredrik
    KTH Royal Inst Technol, Div Gene Technol, Sci Life Lab, Stockholm, Sweden..
    Ståhl, Patrik L.
    Karolinska Inst, Dept Cell & Mol Biol, Stockholm, Sweden..
    Vickovic, Sanja
    KTH Royal Inst Technol, Div Gene Technol, Sci Life Lab, Stockholm, Sweden..
    Felldin, Ulrika
    Karolinska Inst, Dept Mol Med & Surg, Stockholm, Sweden..
    Löfling, Marie
    Karolinska Inst, Dept Mol Med & Surg, Stockholm, Sweden..
    Navarro, Jose Fernandez
    Karolinska Inst, Dept Cell & Mol Biol, Stockholm, Sweden..
    Maaskola, Jonas
    KTH Royal Inst Technol, Div Gene Technol, Sci Life Lab, Stockholm, Sweden..
    Eriksson, Maria J.
    Karolinska Inst, Dept Mol Med & Surg, Stockholm, Sweden.;Karolinska Univ Hosp, Dept Clin Physiol, Stockholm, Sweden..
    Persson, Bengt
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics. Karolinska Inst, Dept Med Biochem & Biophys, Sci Life Lab, Stockholm, Sweden..
    Corbascio, Matthias
    Karolinska Univ Hosp, Dept Cardiothorac Surg & Anesthesiol, Solna, Sweden..
    Persson, Hans
    Danderyd Hosp, Dept Cardiol, Stockholm, Sweden.;Karolinska Inst, Danderyd Hosp, Dept Clin Sci, Stockholm, Sweden..
    Linde, Cecilia
    Karolinska Inst, Dept Med, Stockholm, Sweden.;Karolinska Univ Hosp, Dept Cardiol, Stockholm, Sweden..
    Lundeberg, Joakim
    KTH Royal Inst Technol, Div Gene Technol, Sci Life Lab, Stockholm, Sweden..
    Spatial detection of fetal marker genes expressed at low level in adult human heart tissue2017In: Scientific Reports, ISSN 2045-2322, E-ISSN 2045-2322, Vol. 7, article id 12941Article in journal (Refereed)
    Abstract [en]

    Heart failure is a major health problem linked to poor quality of life and high mortality rates. Hence, novel biomarkers, such as fetal marker genes with low expression levels, could potentially differentiate disease states in order to improve therapy. In many studies on heart failure, cardiac biopsies have been analyzed as uniform pieces of tissue with bulk techniques, but this homogenization approach can mask medically relevant phenotypes occurring only in isolated parts of the tissue. This study examines such spatial variations within and between regions of cardiac biopsies. In contrast to standard RNA sequencing, this approach provides a spatially resolved transcriptome- and tissue-wide perspective of the adult human heart, and enables detection of fetal marker genes expressed by minor subpopulations of cells within the tissue. Analysis of patients with heart failure, with preserved ejection fraction, demonstrated spatially divergent expression of fetal genes in cardiac biopsies.

  • 5.
    Azuaje, Jhonny
    et al.
    Univ Santiago de Compostela, Ctr Singular Invest Quim Biol & Mat Mol CIQUS, Santiago De Compostela 15782, Spain.;Univ Santiago de Compostela, Fac Farm, Dept Quim Organ, Santiago De Compostela 15782, Spain..
    Jespers, Willem
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics.
    Yaziji, Vicente
    Univ Santiago de Compostela, Ctr Singular Invest Quim Biol & Mat Mol CIQUS, Santiago De Compostela 15782, Spain.;Univ Santiago de Compostela, Fac Farm, Dept Quim Organ, Santiago De Compostela 15782, Spain..
    Mallo, Ana
    Univ Santiago de Compostela, Ctr Singular Invest Quim Biol & Mat Mol CIQUS, Santiago De Compostela 15782, Spain.;Univ Santiago de Compostela, Fac Farm, Dept Quim Organ, Santiago De Compostela 15782, Spain..
    Majellaro, Maria
    Univ Santiago de Compostela, Ctr Singular Invest Quim Biol & Mat Mol CIQUS, Santiago De Compostela 15782, Spain.;Univ Santiago de Compostela, Fac Farm, Dept Quim Organ, Santiago De Compostela 15782, Spain..
    Caamano, Olga
    Univ Santiago de Compostela, Fac Farm, Dept Quim Organ, Santiago De Compostela 15782, Spain..
    Loza, Maria I.
    Univ Santiago de Compostela, Ctr Singular Invest Med Mol & Enfermedades Cronic, Santiago De Compostela 15782, Spain..
    Cadavid, Maria I.
    Univ Santiago de Compostela, Ctr Singular Invest Med Mol & Enfermedades Cronic, Santiago De Compostela 15782, Spain..
    Brea, Jose
    Univ Santiago de Compostela, Ctr Singular Invest Med Mol & Enfermedades Cronic, Santiago De Compostela 15782, Spain..
    Åqvist, Johan
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics.
    Sotelo, Eddy
    Univ Santiago de Compostela, Ctr Singular Invest Quim Biol & Mat Mol CIQUS, Santiago De Compostela 15782, Spain.;Univ Santiago de Compostela, Fac Farm, Dept Quim Organ, Santiago De Compostela 15782, Spain..
    Gutiérrez-de-Terán, Hugo
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics.
    Effect of Nitrogen Atom Substitution in A(3) Adenosine Receptor Binding: N-(4,6-Diarylpyridin-2-yl)acetamides as Potent and Selective Antagonists2017In: Journal of Medicinal Chemistry, ISSN 0022-2623, E-ISSN 1520-4804, Vol. 60, no 17, p. 7502-7511Article in journal (Refereed)
    Abstract [en]

    We report the first family of 2-acetamidopyridines as potent and selective A, adenosine receptor (AR) antagonists. The computer -assisted design was focused on the bioisosteric replacement of the N1 atom by a CH group in a previous series of diarylpyrimidines. Some of the generated 2-acetamidopyridines elicit an antagonistic effect with excellent affinity (K-j < 10 nM) and outstanding selectivity profiles, providing an alternative and simpler chemical scaffold to the parent series of diarylpyrimidines. In addition, using molecular dynamics and free energy perturbation simulations, we elucidate the effect of the second nitrogen of the parent diarylpyrimidines, which is revealed as a stabilizer of a water network in the binding site. The discovery of 2,6-diaryl-2-acetamidopyridines represents a step forward in the search of chemically simple, potent, and selective antagonists for the hA(3)AR, and exemplifies the benefits of a joint theoretical- experimental approach to identify novel hA(3)AR antagonists through succinct and efficient synthetic methodologies.

  • 6.
    Baltzer, Nicholas
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology.
    Komorowski, Jan
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics.
    ||-ROSETTAManuscript (preprint) (Other academic)
  • 7.
    Baltzer, Nicholas
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics.
    Komorowski, Jan
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics.
    Sundström, Karin
    Nygård, Jan
    Nygård, Mari
    Dillner, Joakim
    Risk Stratification in Cervical Cancer Screening – Validation and Generalization of a Data-driven  Screening Recall ModelManuscript (preprint) (Other academic)
  • 8.
    Baltzer, Nicholas
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics. Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Stockholm County, Sweden.
    Sundström, Karin
    Karolinska Inst, Dept Lab Med, Stockholm, Stockholm Count, Sweden..
    Nygård, Jan F.
    Canc Registry Norway, Dept Registry Informat, Oslo, Oslo County, Norway..
    Dillner, Joakim
    Karolinska Inst, Dept Lab Med, Stockholm, Stockholm Count, Sweden..
    Komorowski, Jan
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics. Polish Acad Sci, Inst Comp Sci, Warsaw, Warsaw County, Poland..
    Risk stratification in cervical cancer screening by complete screening history: Applying bioinformatics to a general screening population2017In: International Journal of Cancer, ISSN 0020-7136, E-ISSN 1097-0215, Vol. 141, no 1, p. 200-209Article in journal (Refereed)
    Abstract [en]

    Women screened for cervical cancer in Sweden are currently treated under a one-size-fits-all programme, which has been successful in reducing the incidence of cervical cancer but does not use all of the participants' available medical information. This study aimed to use women's complete cervical screening histories to identify diagnostic patterns that may indicate an increased risk of developing cervical cancer. A nationwide case-control study was performed where cervical cancer screening data from 125,476 women with a maximum follow-up of 10 years were evaluated for patterns of SNOMED diagnoses. The cancer development risk was estimated for a number of different screening history patterns and expressed as Odds Ratios (OR), with a history of 4 benign cervical tests as reference, using logistic regression. The overall performance of the model was moderate (64% accuracy, 71% area under curve) with 61-62% of the study population showing no specific patterns associated with risk. However, predictions for high-risk groups as defined by screening history patterns were highly discriminatory with ORs ranging from 8 to 36. The model for computing risk performed consistently across different screening history lengths, and several patterns predicted cancer outcomes. The results show the presence of risk-increasing and risk-decreasing factors in the screening history. Thus it is feasible to identify subgroups based on their complete screening histories. Several high-risk subgroups identified might benefit from an increased screening density. Some low-risk subgroups identified could likely have a moderately reduced screening density without additional risk.

  • 9.
    Baltzer, Nicholas
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics.
    Sundström, Karin
    Karolinska Inst, Dept Lab Med, Stockholm, Sweden.
    Nygård, Jan
    Canc Registry Norway, Dept Registry Informat, Oslo, Norway.
    Nygård, Mari
    Canc Registry Norway, Dept Registry Informat, Oslo, Norway.
    Dillner, Joakim
    Karolinska Inst, Dept Lab Med, Stockholm, Sweden.
    Komorowski, Jan
    Uppsala Univ, Dept Cell & Mol Biol, Uppsala, Sweden;Polish Acad Sci, Warsaw, Poland.
    Stratifying Cervical Cancer Risk With Registry Data2018In: 2018 IEEE 14th International Conference on e-Science (e-Science 2018), IEEE, 2018, p. 288-289Conference paper (Refereed)
    Abstract [en]

    The cervical cancer screening programmes in Sweden and Norway have successfully reduced the frequency of cervical cancer incidence but have not implemented any form of evaluation for screening needs. This means that the screening frequency for individuals can he suboptimal, increasing either the cost of the programme or the risk of missing an early stage cancer development. We developed a framework for assessing an individual's risk of cervical cancer based on their available screening history and computing a primary risk factor called CRS from a data-driven separation model together with multiple derived attributes. The results show that this approach is highly practical, validates against multiple established trends, and can he effective in personalizing the screening needs for individuals.

  • 10.
    Barrozo, Alexandre
    et al.
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology.
    Liao, Qinghua
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Structural Biology. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Esguerra, Mauricio
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Marloie, Gael
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology.
    Florian, Jan
    Loyola Univ Chicago, Dept Chem & Biochem, Chicago, IL 60660 USA..
    Williams, Nicholas H.
    Univ Sheffield, Dept Chem, Sheffield S3 7HF, S Yorkshire, England..
    Kamerlin, Shina C. Lynn
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Computer simulations of the catalytic mechanism of wild-type and mutant beta-phosphoglucomutase2018In: Organic and biomolecular chemistry, ISSN 1477-0520, E-ISSN 1477-0539, Vol. 16, no 12, p. 2060-2073Article in journal (Refereed)
    Abstract [en]

    beta-Phosphoglucomutase (beta-PGM) has served as an important model system for understanding biological phosphoryl transfer. This enzyme catalyzes the isomerization of beta-glucose-1-phosphate to -glucose-6-phosphate in a two-step process proceeding via a bisphosphate intermediate. The conventionally accepted mechanism is that both steps are concerted processes involving acid-base catalysis from a nearby aspartate (D10) side chain. This argument is supported by the observation that mutation of D10 leaves the enzyme with no detectable activity. However, computational studies have suggested that a substrate-assisted mechanism is viable for many phosphotransferases. Therefore, we carried out empirical valence bond (EVB) simulations to address the plausibility of this mechanistic alternative, including its role in the abolished catalytic activity of the D10S, D10C and D10N point mutants of beta-PGM. In addition, we considered both of these mechanisms when performing EVB calculations of the catalysis of the wild type (WT), H20A, H20Q, T16P, K76A, D170A and E169A/D170A protein variants. Our calculated activation free energies confirm that D10 is likely to serve as the general base/acid for the reaction catalyzed by the WT enzyme and all its variants, in which D10 is not chemically altered. Our calculations also suggest that D10 plays a dual role in structural organization and maintaining electrostatic balance in the active site. The correct positioning of this residue in a catalytically competent conformation is provided by a functionally important conformational change in this enzyme and by the extensive network of H-bonding interactions that appear to be exquisitely preorganized for the transition state stabilization.

  • 11.
    Bashardanesh, Zahedeh
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics.
    Lötstedt, Per
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Scientific Computing. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Numerical Analysis.
    Efficient Green's function reaction dynamics (GFRD) simulations for diffusion-limited, reversible reactions2018In: Journal of Computational Physics, ISSN 0021-9991, E-ISSN 1090-2716, Vol. 357, p. 78-99Article in journal (Refereed)
  • 12.
    Bashardanesh, Zahedeh
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics.
    van der Spoel, David
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics.
    Impact of Dispersion Coefficient on Simulations of Proteins and Organic Liquids2018In: Journal of Physical Chemistry B, ISSN 1520-6106, E-ISSN 1520-5207, Vol. 122, no 33, p. 8018-8027Article in journal (Refereed)
    Abstract [en]

    In the context of studies of proteins under crowding conditions, it was found that there is a tendency of simulated proteins to coagulate in a seemingly unphysical manner. This points to an imbalance in the protein-protein or protein-water interactions. One way to resolve this is to strengthen the protein-water Lennard-Jones interactions. However, it has also been suggested that dispersion interactions may have been systematically overestimated in force fields due to parameterization with a short cutoff. Here, we test this proposition by performing simulations of liquids and of proteins in solution with systematically reduced C-6 (dispersion constant in a 12-6 Lennard-Jones potential) and evaluate the properties. We find that simulations of liquids with either a dispersion correction or explicit long-range Lennard-Jones interactions need little or no correction to the dispersion constant to reproduce the experimental density. For simulations of proteins, a significant reduction in the dispersion constant is needed to reduce the coagulation, however. Because the protein- and liquid force fields share atom types, at least to some extent, another solution for the coagulation problem may be needed, either through including explicit polarization or through strengthening protein-water interactions.

  • 13.
    Bauer, Paul
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational and Systems Biology.
    Barrozo, Alexandre
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Structure and Molecular Biology.
    Amrein, Beat Anton
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Structure and Molecular Biology.
    Purg, Miha
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Structure and Molecular Biology.
    Esguerra, Mauricio
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics.
    Wilson, Philippe
    De Montfort University Leicester, School of Pharmacy .
    Åqvist, Johan
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics.
    Major, Dan Thomas
    Department of Chemistry, The Lise Meitner-Minerva Center of Computational Quantum Chemistry, Bar-Ilan University, Ramat-Gan 52900, Israel.
    Kamerlin, Shina Caroline Lynn
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Structure and Molecular Biology.
    Q Version 6, a comprehensive toolkit for empirical valence bond and related free energy calculations.Manuscript (preprint) (Other academic)
  • 14.
    Bauer, Paul
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology.
    Barrozo, Alexandre
    Department of Chemistry, University of Southern California, SGM 418, 3620 McClintock Ave., Los Angeles, CA 90089-1062, United StatesDepartment of Chemistry, University of Southern California, SGM 418, 3620 McClintock Ave., Los Angeles, CA 90089-1062, United States.
    Purg, Miha
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology.
    Amrein, Beat Anton
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology.
    Esguerra, Mauricio
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology.
    Wilson, Philippe Barrie
    Leicester School of Pharmacy, De Montfort University, The Gateway, Leicester LE1 9BH, UK.
    Major, Dan Thomas
    Department of Chemistry, Bar-Ilan University, Ramat-Gan 52900, Israel.
    Åqvist, Johan
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics.
    Kamerlin, Shina C. Lynn
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Structural Biology.
    Q6: A comprehensive toolkit for empirical valence bond and related free energy calculations2018In: SoftwareX, ISSN 2352-7110, p. 388-395Article in journal (Refereed)
    Abstract [en]

    Atomistic simulations have become one of the main approaches to study the chemistry and dynamicsof biomolecular systems in solution. Chemical modelling is a powerful way to understand biochemistry,with a number of different programs available to perform specialized calculations. We present here Q6, anew version of the Q software package, which is a generalized package for empirical valence bond, linearinteraction energy, and other free energy calculations. In addition to general technical improvements, Q6extends the reach of the EVB implementation to fast approximations of quantum effects, extended solventdescriptions and quick estimation of the contributions of individual residues to changes in the activationfree energy of reactions.

  • 15.
    Behzadi, Hadi
    et al.
    Department of Physical Chemistry, Faculty of Chemistry, Kharazmi University, 15719-14911, Tehran, Iran.
    Manzetti, Sergio
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics. Fjordforsk AS, N-6894 Midtun, Vangsnes, Norway.
    Darghai, Mayram
    Department of Chemistry, Faculty of Science, Imam Khomeini International University, Qazvin, Iran.
    Roonasi, Payman
    Department of Physical Chemistry, Faculty of Chemistry, Kharazmi University, 15719-14911, Tehran, Iran.
    Khalilnia, Zahra
    Department of Physical Chemistry, Faculty of Chemistry, Kharazmi University, 15719-14911, Tehran, Iran.
    Application of calculated NMR parameters, aromaticity indices and wavefunction properties for evaluation of corrosion inhibition efficiency of pyrazine inhibitors2018In: Journal of Molecular Structure: THEOCHEM, ISSN 0166-1280, Vol. 1151, p. 34-40Article in journal (Refereed)
  • 16.
    Behzadi, Hadi
    et al.
    Kharazmi Univ, Fac Chem, Dept Phys Chem, Tehran, Iran.
    Roonasi, Payman
    Kharazmi Univ, Fac Chem, Dept Phys Chem, Tehran, Iran.
    Taghipour, Khatoon Assle
    Kharazmi Univ, Fac Chem, Dept Phys Chem, Tehran, Iran.
    van der Spoel, David
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational and Systems Biology.
    Manzetti, Sergio
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics. Fjordforsk AS Inst Sci & Technol, N-6894 Midtun, Vangsnes, Norway.
    Relationship between electronic properties and drug activity of seven quinoxaline compounds: A DFT study2015In: Journal of Molecular Structure, ISSN 0022-2860, E-ISSN 1872-8014, Vol. 1091, p. 196-202Article in journal (Refereed)
    Abstract [en]

    The quantum chemical calculations at the DFT/B3LYP level of theory were carried out on seven quinoxaline compounds, which have been synthesized as anti-Mycobacterium tuberculosis agents. Three conformers were optimized for each compound and the lowest energy structure was found and used in further calculations. The electronic properties including E-HOMO, E-LUMO and related parameters as well as electron density around oxygen and nitrogen atoms were calculated for each compound. The relationship between the calculated electronic parameters and biological activity of the studied compounds were investigated. Six similar quinoxaline derivatives with possible more drug activity were suggested based on the calculated electronic descriptors. A mechanism was proposed and discussed based on the calculated electronic parameters and bond dissociation energies.

  • 17.
    Bellissent-Funel, Marie-Claire
    et al.
    CEA Saclay, CNRS, Lab Leon Brillouin, F-91191 Gif Sur Yvette, France..
    Hassanali, Ali
    Abdus Salaam Int Ctr Theoret Phys, Condensed Matter & Stat Phys, I-34151 Trieste, Italy..
    Havenith, Martina
    Ruhr Univ Bochum, Fac Chem & Biochem, Univ Str 150 Bldg NC 7-72, D-44780 Bochum, Germany..
    Henchman, Richard
    Univ Manchester, Manchester Inst Biotechnol, 131 Princess St, Manchester M1 7DN, Lancs, England..
    Pohl, Peter
    Johannes Kepler Univ Linz, Gruberstr 40, A-4020 Linz, Austria..
    Sterpone, Fabio
    Inst Biol Physicochim, Lab Biochim Theor, 13 Rue Pierre & Marie Curie, F-75005 Paris, France..
    van der Spoel, David
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics.
    Xu, Yao
    Ruhr Univ Bochum, Fac Chem & Biochem, Univ Str 150 Bldg NC 7-72, D-44780 Bochum, Germany..
    Garcia, Angel E.
    Los Alamos Natl Lab, Ctr Non Linear Studies, Los Alamos, NM 87545 USA..
    Water Determines the Structure and Dynamics of Proteins2016In: Chemical Reviews, ISSN 0009-2665, E-ISSN 1520-6890, Vol. 116, no 13, p. 7673-7697Article, review/survey (Refereed)
    Abstract [en]

    Water is an essential participant in the stability, structure, dynamics, and function of proteins and other biomolecules. Thermodynamically, changes in the aqueous environment affect the stability of biomolecules. Structurally, water participates chemically in the catalytic function of proteins and nucleic acids and physically in the collapse of the protein chain during folding through hydrophobic collapse and mediates binding through the hydrogen bond in complex formation. Water is a partner that slaves the dynamics of proteins, and water interaction with proteins affect their dynamics. Here we provide a review of the experimental and computational advances over the past decade in understanding the role of water in the dynamics, structure, and function of proteins. We focus on the combination of X-ray and neutron crystallography, NMR, terahertz spectroscopy, mass spectroscopy, thermodynamics, and computer simulations to reveal how water assist proteins in their function. The recent advances in computer simulations and the enhanced sensitivity of experimental tools promise major advances in the understanding of protein dynamics, and water surely will be a protagonist.

  • 18.
    Bharate, Sandip B.
    et al.
    CSIR Indian Inst Integrat Med, Div Med Chem, Canal Rd, Jammu 180001, Jammu & Kashmir, India.;CSIR Indian Inst Integrat Med, Acad Sci & Innovat Res AcSIR, Canal Rd, Jammu 180001, Jammu & Kashmir, India..
    Singh, Baljinder
    CSIR Indian Inst Integrat Med, Nat Prod Chem Div, Canal Rd, Jammu 180001, Jammu & Kashmir, India..
    Kachler, Sonja
    Univ Wurzburg, Inst Pharmakol & Toxikol, Versbacher Str 9, D-97078 Wurzburg, Germany..
    Oliveira, Ana
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics.
    Kumar, Vikas
    CSIR Indian Inst Integrat Med, Acad Sci & Innovat Res AcSIR, Canal Rd, Jammu 180001, Jammu & Kashmir, India.;CSIR Indian Inst Integrat Med, Preformulat Lab, Canal Rd, Jammu 180001, Jammu & Kashmir, India..
    Bharate, Sonali S.
    CSIR Indian Inst Integrat Med, Preformulat Lab, Canal Rd, Jammu 180001, Jammu & Kashmir, India..
    Vishwakarma, Ram A.
    CSIR Indian Inst Integrat Med, Div Med Chem, Canal Rd, Jammu 180001, Jammu & Kashmir, India.;CSIR Indian Inst Integrat Med, Acad Sci & Innovat Res AcSIR, Canal Rd, Jammu 180001, Jammu & Kashmir, India..
    Klotz, Karl-Norbert
    Univ Wurzburg, Inst Pharmakol & Toxikol, Versbacher Str 9, D-97078 Wurzburg, Germany..
    de Teran, Hugo Gutierrez
    Uppsala Univ, Dept Cell & Mol Biol, Box 596, SE-75124 Uppsala, Sweden..
    Discovery of 7-(Prolinol-N-yl)-2-phenylamino-thiazolo[5,4-d]pyrimidines as Novel Non-Nucleoside Partial Agonists for the A(2A) Adenosine Receptor: Prediction from Molecular Modeling2016In: Journal of Medicinal Chemistry, ISSN 0022-2623, E-ISSN 1520-4804, Vol. 59, no 12, p. 5922-5928Article in journal (Refereed)
    Abstract [en]

    We describe the identification of 7-(prolinol-N-yl)-2-phenylamino-thiazolo[5,4-d]pyrimidines as a novel chemotype of non-nucleoside partial agonists for the A(2A) adenosine receptor (A(2A)AR). Molecular-modeling indicated that the (S)-2-hydroxymethylene-pyrrolidine could mimic the interactions of agonists' ribose, suggesting that this class of compounds could have agonistic properties. This was confirmed by functional assays on the A(2A)AR, where their efficacy could be associated with the presence of the 2-hydroxymethylene moiety. Additionally, the best compound displays promising affinity, selectivity profile, and physicochemical properties.

  • 19.
    Björneholm, Olle
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, Molecular and condensed matter physics.
    Hansen, Martin H.
    Tech Univ Denmark, DK-2800 Lyngby, Denmark.;Univ Copenhagen, Dept Chem, Univ Pk 5, DK-2100 Copenhagen, Denmark..
    Hodgson, Andrew
    Univ Liverpool, Dept Chem, Liverpool L69 7ZD, Merseyside, England..
    Liu, Li-Min
    UCL, London Ctr Nanotechnol, Thomas Young Ctr, Dept Phys & Astron, London WC1E 6BT, England.;UCL, Dept Chem, London WC1E 6BT, England.;Beijing Computat Sci Res Ctr, Beijing 100193, Peoples R China..
    Limmer, David T.
    Princeton Univ, Princeton Ctr Theoret Sci, Princeton, NJ 08544 USA..
    Michaelides, Angelos
    UCL, London Ctr Nanotechnol, Thomas Young Ctr, Dept Phys & Astron, London WC1E 6BT, England.;UCL, Dept Chem, London WC1E 6BT, England..
    Pedevilla, Philipp
    UCL, London Ctr Nanotechnol, Thomas Young Ctr, Dept Phys & Astron, London WC1E 6BT, England.;UCL, Dept Chem, London WC1E 6BT, England..
    Rossmeisl, Jan
    Univ Copenhagen, Dept Chem, Univ Pk 5, DK-2100 Copenhagen, Denmark..
    Shen, Huaze
    Peking Univ, Int Ctr Quantum Mat, Beijing 100871, Peoples R China.;Peking Univ, Sch Phys, Beijing 100871, Peoples R China..
    Tocci, Gabriele
    UCL, London Ctr Nanotechnol, Thomas Young Ctr, Dept Phys & Astron, London WC1E 6BT, England.;UCL, Dept Chem, London WC1E 6BT, England.;Ecole Polytech Fed Lausanne, Sch Engn, Inst Bioengn & Mat Sci & Engn, Lab Fundamental BioPhoton,Lab Computat Sci & Mode, CH-1015 Lausanne, Switzerland.;Ecole Polytech Fed Lausanne, Lausanne Ctr Ultrafast Sci, CH-1015 Lausanne, Switzerland..
    Tyrode, Eric
    KTH Royal Inst Technol, Dept Chem, S-10044 Stockholm, Sweden..
    Walz, Marie-Madeleine
    Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, Molecular and condensed matter physics. Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics.
    Werner, Josephina
    Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, Molecular and condensed matter physics. Swedish Univ Agr Sci, Dept Chem & Biotechnol, Box 7015, S-75007 Uppsala, Sweden..
    Bluhm, Hendrik
    Lawrence Berkeley Natl Lab, Div Chem Sci, Berkeley, CA 94720 USA..
    Water at Interfaces2016In: Chemical Reviews, ISSN 0009-2665, E-ISSN 1520-6890, Vol. 116, no 13, p. 7698-7726Article, review/survey (Refereed)
    Abstract [en]

    The interfaces of neat water and aqueous solutions play a prominent role in many technological processes and in the environment. Examples of aqueous interfaces are ultrathin water films that cover most hydrophilic surfaces under ambient relative humidities, the liquid/solid interface which drives many electrochemical reactions, and the liquid/vapor interface, which governs the uptake and release of trace gases by the oceans and cloud droplets. In this article we review some of the recent experimental and theoretical advances in our knowledge of the properties of aqueous interfaces and discuss open questions and gaps in our understanding.

  • 20.
    Borroto-Escuela, Dasiel O.
    et al.
    Karolinska Inst, Dept Neurosci, Retzius Vag 8, S-17177 Stockholm, Sweden;Univ Urbino Carlo Bo, Dept Biomol Sci, I-61029 Urbino, Italy;Observ Cubano Neurociencias, Grp Bohio Estudio, Zaya 50, Yaguajay 62100, Cuba.
    Narvaez, Manuel
    Univ Malaga, Inst Invest Biomed Malaga, Fac Med, E-29071 Malaga, Spain.
    Ambrogini, Patrizia
    Univ Urbino Carlo Bo, Dept Biomol Sci, I-61029 Urbino, Italy.
    Ferraro, Luca
    Univ Ferrara, SVEB, Dept Life Sci & Biotechnol, I-44121 Ferrara, Italy.
    Brito, Ismel
    Karolinska Inst, Dept Neurosci, Retzius Vag 8, S-17177 Stockholm, Sweden;Observ Cubano Neurociencias, Grp Bohio Estudio, Zaya 50, Yaguajay 62100, Cuba.
    Romero Fernandez, Wilber
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics.
    Andrade-Talavera, Yuniesky
    Karolinska Inst, Dept Neurobiol Care Sci & Soc, Ctr Alzheimer Res, Neuronal Oscillat Lab, S-17177 Stockholm, Sweden.
    Flores-Burgess, Antonio
    Univ Malaga, Inst Invest Biomed Malaga, Fac Med, E-29071 Malaga, Spain.
    Millon, Carmelo
    Univ Malaga, Inst Invest Biomed Malaga, Fac Med, E-29071 Malaga, Spain.
    Gago, Belen
    Univ Malaga, Inst Invest Biomed Malaga, Fac Med, E-29071 Malaga, Spain.
    Angel Narvaez, Jose
    Univ Malaga, Inst Invest Biomed Malaga, Fac Med, E-29071 Malaga, Spain.
    Odagaki, Yuji
    Saitama Med Univ, Dept Psychiat, Saitama 3388570, Japan.
    Palkovits, Miklos
    Semmelweis Univ, Fac Med, Dept Anat Histol & Embryol, H-1094 Budapest, Hungary.
    Diaz-Cabiale, Zaida
    Univ Malaga, Inst Invest Biomed Malaga, Fac Med, E-29071 Malaga, Spain.
    Fuxe, Kjell
    Karolinska Inst, Dept Neurosci, Retzius Vag 8, S-17177 Stockholm, Sweden.
    Receptor-Receptor Interactions in Multiple 5-HT1A Heteroreceptor Complexes in Raphe-Hippocampal 5-HT Transmission and Their Relevance for Depression and Its Treatment2018In: Molecules, ISSN 1420-3049, E-ISSN 1420-3049, Vol. 23, no 6, article id 1341Article, review/survey (Refereed)
    Abstract [en]

    Due to the binding to a number of proteins to the receptor protomers in receptor heteromers in the brain, the term "heteroreceptor complexes" was introduced. A number of serotonin 5-HT1A heteroreceptor complexes were recently found to be linked to the ascending 5-HT pathways known to have a significant role in depression. The 5-HT1A-FGFR1 heteroreceptor complexes were involved in synergistically enhancing neuroplasticity in the hippocampus and in the dorsal raphe 5-HT nerve cells. The 5-HT1A protomer significantly increased FGFR1 protomer signaling in wild-type rats. Disturbances in the 5-HT1A-FGFR1 heteroreceptor complexes in the raphe-hippocampal 5-HT system were found in a genetic rat model of depression (Flinders sensitive line (FSL) rats). Deficits in FSL rats were observed in the ability of combined FGFR1 and 5-HT1A agonist cotreatment to produce antidepressant-like effects. It may in part reflect a failure of FGFR1 treatment to uncouple the 5-HT1A postjunctional receptors and autoreceptors from the hippocampal and dorsal raphe GIRK channels, respectively. This may result in maintained inhibition of hippocampal pyramidal nerve cell and dorsal raphe 5-HT nerve cell firing. Also, 5-HT1A-5-HT2A isoreceptor complexes were recently demonstrated to exist in the hippocampus and limbic cortex. They may play a role in depression through an ability of 5-HT2A protomer signaling to inhibit the 5-HT1A protomer recognition and signaling. Finally, galanin (1-15) was reported to enhance the antidepressant effects of fluoxetine through the putative formation of GalR1-GalR2-5-HT1A heteroreceptor complexes. Taken together, these novel 5-HT1A receptor complexes offer new targets for treatment of depression.

  • 21.
    Borroto-Escuela, Dasiel O.
    et al.
    Karolinska Inst, Dept Neurosci, Stockholm, Sweden.
    Rodriguez, David
    Stockholm Univ, Dept Biochem & Biophys, Sci Life Lab, Stockholm, Sweden.
    Romero Fernandez, Wilber
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Kapla, Jon
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Jaiteh, Mariama
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Ranganathan, Anirudh
    Stockholm Univ, Dept Biochem & Biophys, Sci Life Lab, Stockholm, Sweden.
    Lazarova, Tzvetana
    Autonomous Univ Barcelona, Fac Med, Dept Biochem & Mol Biol, Inst Neurosci, Barcelona, Spain.
    Fuxe, Kjell
    Karolinska Inst, Dept Neurosci, Stockholm, Sweden.
    Carlsson, Jens
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Mapping the Interface of a GPCR Dimer: A Structural Model of the A(2A) Adenosine and D-2 Dopamine Receptor Heteromer2018In: Frontiers in Pharmacology, ISSN 1663-9812, E-ISSN 1663-9812, Vol. 9, article id 829Article in journal (Refereed)
    Abstract [en]

    The A(2A) adenosine (A(2A)R) and D-2 dopamine (D2R) receptors form oligomers in the cell membrane and allosteric interactions across the A(2A)R-D2R heteromer represent a target for development of drugs against central nervous system disorders. However, understanding of the molecular determinants of A(2A)R-D2R heteromerization and the allosteric antagonistic interactions between the receptor protomers is still limited. In this work, a structural model of the A(2A)R-D2R heterodimer was generated using a combined experimental and computational approach. Regions involved in the heteromer interface were modeled based on the effects of peptides derived from the transmembrane (TM) helices on A(2A)R-D2R receptor-receptor interactions in bioluminescence resonance energy transfer (BRET) and proximity ligation assays. Peptides corresponding to TM-IV and TM-V of the A(2A)R blocked heterodimer interactions and disrupted the allosteric effect of A(2A)R activation on D2R agonist binding. Protein-protein docking was used to construct a model of the A(2A)R-D2R heterodimer with a TM-IV/V interface, which was refined using molecular dynamics simulations. Mutations in the predicted interface reduced A(2A)R-D2R interactions in BRET experiments and altered the allosteric modulation. The heterodimer model provided insights into the structural basis of allosteric modulation and the technique developed to characterize the A(2A)R-D2R interface can be extended to study the many other G protein-coupled receptors that engage in heteroreceptor complexes.

  • 22.
    Bálint, Mónika
    et al.
    University of Pécs, Medical School, Department of Pharmacology and Pharmacotherapy; Eötvös Loránd University, Department of Biochemistry.
    Jeszenői, Norbert
    University of Pécs, Center for Neuroscience, MTA NAP -B Molecular Neuroendocrinology Group, Institute of Physiology.
    Horváth, István
    University of Szeged, Chemistry Doctoral School.
    van der Spoel, David
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics.
    Hetényi, Csaba
    University of Pécs, Medical School, Department of Pharmacology and Pharmacotherapy.
    Systematic exploration of multiple drug binding sites2017In: Journal of Cheminformatics, ISSN 1758-2946, E-ISSN 1758-2946, Vol. 9, no 65Article in journal (Refereed)
    Abstract [en]

    Background: Targets with multiple (prerequisite or allosteric) binding sites have an increasing importance in drug design. Experimental determination of atomic resolution structures of ligands weakly bound to multiple binding sites is often challenging. Blind docking has been widely used for fast mapping of the entire target surface for multiple binding sites. Reliability of blind docking is limited by approximations of hydration models, simplified handling of molecular flexibility, and imperfect search algorithms.

    Results: To overcome such limitations, the present study introduces Wrap 'n' Shake (WnS), an atomic resolution method that systematically "wraps" the entire target into a monolayer of ligand molecules. Functional binding sites are extracted by a rapid molecular dynamics shaker. WnS is tested on biologically important systems such as mitogenactivated protein, tyrosine-protein kinases, key players of cellular signaling, and farnesyl pyrophosphate synthase, a target of antitumor agents.

  • 23.
    Carbajales, Carlos
    et al.
    Univ Santiago de Compostela, Fac Farm, Ctr Singular Invest Quim Biol & Mat Mol CIQUS, Santiago De Compostela 15782, Spain.;Univ Santiago de Compostela, Fac Farm, Dept Quim Organ, Santiago De Compostela 15782, Spain..
    Azuaje, Jhonny
    Univ Santiago de Compostela, Fac Farm, Ctr Singular Invest Quim Biol & Mat Mol CIQUS, Santiago De Compostela 15782, Spain.;Univ Santiago de Compostela, Fac Farm, Dept Quim Organ, Santiago De Compostela 15782, Spain..
    Oliveira, Ana
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics.
    Loza, Maria I.
    Univ Santiago de Compostela, Drug Screening Platform Biofarma Res Grp, Ctr Singular Invest Med Mol & Enfermedades Cron C, Santiago De Compostela 15782, Spain..
    Brea, Jose
    Univ Santiago de Compostela, Drug Screening Platform Biofarma Res Grp, Ctr Singular Invest Med Mol & Enfermedades Cron C, Santiago De Compostela 15782, Spain..
    Cadavid, Maria I.
    Univ Santiago de Compostela, Drug Screening Platform Biofarma Res Grp, Ctr Singular Invest Med Mol & Enfermedades Cron C, Santiago De Compostela 15782, Spain..
    Masaguer, Christian F.
    Univ Santiago de Compostela, Fac Farm, Dept Quim Organ, Santiago De Compostela 15782, Spain..
    Garcia-Mera, Xerardo
    Univ Santiago de Compostela, Fac Farm, Dept Quim Organ, Santiago De Compostela 15782, Spain..
    Gutiérrez-de-Terán, Hugo
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology.
    Sotelo, Eddy
    Univ Santiago de Compostela, Fac Farm, Ctr Singular Invest Quim Biol & Mat Mol CIQUS, Santiago De Compostela 15782, Spain.;Univ Santiago de Compostela, Fac Farm, Dept Quim Organ, Santiago De Compostela 15782, Spain..
    Enantiospecific Recognition at the A(2B) Adenosine Receptor by Alkyl 2-Cyanoimino-4-substituted-6-methyl-1,2,3,4-tetrahydropyrimidine-5-carboxylates2017In: Journal of Medicinal Chemistry, ISSN 0022-2623, E-ISSN 1520-4804, Vol. 60, no 8, p. 3372-3382Article in journal (Refereed)
    Abstract [en]

    A novel family of structurally simple, potent, and selective nonxanthine A(2B)AR ligands was identified, and its antagonistic behavior confirmed through functional experiments. The reported alkyl 2-cyanoimino-4-substituted-6-methyl-1,2,3,4-tetrahy-dropyrimidine-5-carboxylates (16) were designed by bioisosteric replacement of the carbonyl group at position 2 in a series of 3,4-dihydropyrimidin-2-ones. The scaffold (16) documented herein contains a chiral center at the heterocycle. Accordingly, the most attractive ligand of the series [(+/-)16b, K-i = 24.3 nM] was resolved into its two enantiomers by chiral HPLC, and the absolute configuration was established by circular dichroism. The biological evaluation of both enantiomers demonstrated enantiospecific recognition at A(2B)AR, with the (S)-16b enantiomer retaining all the affinity (K-i = 15.1 nM), as predicted earlier by molecular modeling. This constitutes the first example of enantiospecific recognition at the A(2B) adenosine receptor and opens new possibilities in ligand design for this receptor.

  • 24.
    Carlsson, Jens
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics.
    Structure-based screening for GPCR ligands from fragment and lead-like chemical space2018In: Abstract of Papers of the American Chemical Society, ISSN 0065-7727, Vol. 255Article in journal (Other academic)
  • 25.
    Carlsson, Jens
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics.
    Structure-guided discovery of adenosine receptor ligands2018In: Purinergic Signalling Purinergic Signalling, ISSN 1573-9538, E-ISSN 1573-9546, Vol. 14, no Suppl. 1, p. S51-S51Article in journal (Other academic)
  • 26.
    Cavalli, Marco
    et al.
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Medicinsk genetik och genomik. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Baltzer, Nicholas
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics.
    Pan, Gang
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Medicinsk genetik och genomik. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Walls, Jose Ramon Barcenas
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Medicinsk genetik och genomik.
    Garbulowska, Karolina Smolinska
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics.
    Kumar, Chanchal
    AstraZeneca, Gothenburg, Sweden.
    Skrtic, Stanko
    AstraZeneca, Gothenburg, Sweden.
    Komorowski, Jan
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics. Polish Acad Sci, Inst Comp Sci, Warsaw, Poland.
    Wadelius, Claes
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Medicinsk genetik och genomik.
    Studies of liver tissue identify functional gene regulatory elements associated to gene expression, type 2 diabetes, and other metabolic diseases2019In: HUMAN GENOMICS, ISSN 1473-9542, Vol. 13, article id 20Article in journal (Refereed)
    Abstract [en]

    Background:

    Genome-wide association studies (GWAS) of diseases and traits have found associations to gene regions but not the functional SNP or the gene mediating the effect. Difference in gene regulatory signals can be detected using chromatin immunoprecipitation and next-gen sequencing (ChIP-seq) of transcription factors or histone modifications by aligning reads to known polymorphisms in individual genomes. The aim was to identify such regulatory elements in the human liver to understand the genetics behind type 2 diabetes and metabolic diseases.

    Methods:

    The genome of liver tissue was sequenced using 10X Genomics technology to call polymorphic positions. Using ChIP-seq for two histone modifications, H3K4me3 and H3K27ac, and the transcription factor CTCF, and our established bioinformatics pipeline, we detected sites with significant difference in signal between the alleles.

    Results:

    We detected 2329 allele-specific SNPs (AS-SNPs) including 25 associated to GWAS SNPs linked to liver biology, e.g., 4 AS-SNPs at two type 2 diabetes loci. Two hundred ninety-two AS-SNPs were associated to liver gene expression in GTEx, and 134 AS-SNPs were located on 166 candidate functional motifs and most of them in EGR1-binding sites.

    Conclusions:

    This study provides a valuable collection of candidate liver regulatory elements for further experimental validation.

  • 27.
    Cavalli, Marco
    et al.
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Medicinsk genetik och genomik. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Baltzer, Nicholas
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics.
    Umer, Husen Muhammad
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics.
    Grau, Jan
    Martin Luther Univ Halle Wittenberg, Inst Comp Sci, Halle, Germany.
    Lemnian, Ioana
    Martin Luther Univ Halle Wittenberg, Inst Comp Sci, Halle, Germany.
    Pan, Gang
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Medicinsk genetik och genomik. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Wallerman, Ola
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Medicinsk genetik och genomik.
    Spalinskas, Rapolas
    KTH Royal Inst Technol, Div Gene Technol, Sci Life Lab, Stockholm, Sweden.
    Sahlen, Pelin
    KTH Royal Inst Technol, Div Gene Technol, Sci Life Lab, Stockholm, Sweden.
    Grosse, Ivo
    Martin Luther Univ Halle Wittenberg, Inst Comp Sci, Halle, Germany;German Ctr Integrat Biodivers Res iDiv, Leipzig, Germany.
    Komorowski, Jan
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics. Polish Acad Sci, Inst Comp Sci, Warsaw, Poland.
    Wadelius, Claes
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Medicinsk genetik och genomik.
    Allele specific chromatin signals, 3D interactions, and motif predictions for immune and B cell related diseases2019In: Scientific Reports, ISSN 2045-2322, E-ISSN 2045-2322, Vol. 9, article id 2695Article in journal (Refereed)
    Abstract [en]

    Several Genome Wide Association Studies (GWAS) have reported variants associated to immune diseases. However, the identified variants are rarely the drivers of the associations and the molecular mechanisms behind the genetic contributions remain poorly understood. ChIP-seq data for TFs and histone modifications provide snapshots of protein-DNA interactions allowing the identification of heterozygous SNPs showing significant allele specific signals (AS-SNPs). AS-SNPs can change a TF binding site resulting in altered gene regulation and are primary candidates to explain associations observed in GWAS and expression studies. We identified 17,293 unique AS-SNPs across 7 lymphoblastoid cell lines. In this set of cell lines we interrogated 85% of common genetic variants in the population for potential regulatory effect and we identified 237 AS-SNPs associated to immune GWAS traits and 714 to gene expression in B cells. To elucidate possible regulatory mechanisms we integrated long-range 3D interactions data to identify putative target genes and motif predictions to identify TFs whose binding may be affected by AS-SNPs yielding a collection of 173 AS-SNPs associated to gene expression and 60 to B cell related traits. We present a systems strategy to find functional gene regulatory variants, the TFs that bind differentially between alleles and novel strategies to detect the regulated genes.

  • 28.
    Cavalli, Marco
    et al.
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Medicinsk genetik och genomik. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Diamanti, Klev
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics.
    Pan, Gang
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Medicinsk genetik och genomik.
    Rapolas, Spalinskas
    Science for Life Laboratory, Division of Gene Technology, KTH Royal Institute of Technology.
    Kumar, Chanchal
    Translational Science & Experimental Medicine, Early Cardiovascular, Renal and Metabolism, 12 BioPharmaceuticals R&D, AstraZeneca; Karolinska Institutet/AstraZeneca Integrated CardioMetabolic Center (KI/AZ ICMC), Department of Medicine.
    Deshmukh, Atul Shahaji
    Novo Nordisk Foundation Center for Protein Research, Proteomics Program, Clinical Proteomics Group.
    Mann, Matthias
    Novo Nordisk Foundation Center for Protein Research, Proteomics Program, Clinical Proteomics Group.
    Sahlén, Pelin
    Science for Life Laboratory, Division of Gene Technology, KTH Royal Institute of Technology.
    Komorowski, Jan
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics.
    Wadelius, Claes
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Medicinsk genetik och genomik.
    Single Nuclei Transcriptome Analysis of Human Liver with Integration of Proteomics and Capture Hi-C Bulk Tissue DataIn: Article in journal (Refereed)
    Abstract [en]

    The liver is the largest solid organ and a primary metabolic hub. In recent years, intact cell nuclei were used to perform single-nuclei RNA-seq (snRNA-seq) for tissues difficult to dissociate and for flash-frozen archived tissue samples to discover unknown and rare cell sub-populations. In this study, we performed snRNA-seq of a liver sample to identify sub-populations of cells based on nuclear transcriptomics. In 4,282 single nuclei we detected on average 1,377 active genes and we identified seven major cell types. We integrated data from 94,286 distal interactions (p<0.05) for 7,682 promoters from a targeted chromosome conformation capture technique (HiCap) and mass spectrometry (MS) proteomics for the same liver sample. We observed a reasonable correlation between proteomics and in silico bulk snRNA-seq (r=0.47) using tissue-independent gene-specific protein abundancy estimation factors. We specifically looked at genes of medical importance. The DPYD gene is involved in the pharmacogenetics of fluoropyrimidines toxicity and some of its variants are analyzed for clinical purposes. We identified a new putative polymorphic regulatory element, which may contribute to variation in toxicity. Hepatocellular carcinoma (HCC) is the most common type of primary liver cancer and we investigated all known risk genes. We found a complex regulatory network for the SLC2A2 gene with 16 candidate enhancers. Three of them harbor somatic motif breaking and other mutations in HCC in the Pan Cancer Analysis of Whole Genomes dataset and are candidates to contribute to malignancy. Our results highlight the potential of a multi-omics approach in the study of human diseases.

  • 29. Chu, Dinh-Toi
    et al.
    Nguyet, Nguyen Thi Minh
    Nga, Vu Thi
    Lien, Nguyen Vu Thai
    Vo, Duc Duy
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics. Uppsala University, Disciplinary Domain of Science and Technology, Chemistry, Department of Chemistry - BMC, Organic Chemistry.
    Lien, Nguyen
    Ngoc, Vo Truong Nhu
    Son, Le Hoang
    Le, Duc-Hau
    Nga, Vu Bich
    Tu, Pham Van
    To, Ta Van
    Ha, Luu Song
    Vietnam Womens Acad, Hanoi, Vietnam.
    Tao, Yang
    Nanjing Agr Univ, Coll Food Sci & Technol, Nanjing 210095 8, Jiangsu, Peoples R China.
    Pham, Van-Huy
    An update on obesity: Mental consequences and psychological interventions2019In: Diabetes & Metabolic syndrome: clinical Research & Reviews, ISSN 1871-4021, E-ISSN 1878-0334, Vol. 13, no 1, p. 155-160Article, review/survey (Refereed)
    Abstract [en]

    Besides physical consequences, obesity has negative psychological effects, thereby lowering human life quality. Major psychological consequences of this disorder includes depression, impaired body image, low self-esteem, eating disorders, stress and poor quality of life, which are correlated with age and gender. Physical interventions, mainly diet control and energy balance, have been widely applied to treat obesity; and some psychological interventions including behavioral therapy, cognitive behavioral therapy and hypnotherapy have showed some effects on obesity treatment. Other psychological therapies, such as relaxation and psychodynamic therapies, are paid less attention. This review aims to update scientific evidence regarding the mental consequences and psychological interventions for obesity. (c) 2018 Diabetes India. Published by Elsevier Ltd. All rights reserved.

  • 30.
    Crespo, Abel
    et al.
    Univ Santiago de Compostela, Ctr Singular Invest Quim Biol & Mat Mol CIQUS, Santiago De Compostela 1578, Spain.;Univ Santiago de Compostela, Fac Farm, Dept Quim Organ, Santiago De Compostela 1578, Spain..
    El Maatougui, Abdelaziz
    Univ Santiago de Compostela, Ctr Singular Invest Quim Biol & Mat Mol CIQUS, Santiago De Compostela 1578, Spain.;Univ Santiago de Compostela, Fac Farm, Dept Quim Organ, Santiago De Compostela 1578, Spain..
    Azuaje, Jhonny
    Univ Santiago de Compostela, Ctr Singular Invest Quim Biol & Mat Mol CIQUS, Santiago De Compostela 1578, Spain.;Univ Santiago de Compostela, Fac Farm, Dept Quim Organ, Santiago De Compostela 1578, Spain..
    Escalante, Luz
    Univ Santiago de Compostela, Ctr Singular Invest Quim Biol & Mat Mol CIQUS, Santiago De Compostela 1578, Spain.;Univ Santiago de Compostela, Fac Farm, Dept Quim Organ, Santiago De Compostela 1578, Spain..
    Majellaro, Maria
    Univ Santiago de Compostela, Ctr Singular Invest Quim Biol & Mat Mol CIQUS, Santiago De Compostela 1578, Spain.;Univ Santiago de Compostela, Fac Farm, Dept Quim Organ, Santiago De Compostela 1578, Spain..
    Loza, Maria Isabel
    Univ Santiago de Compostela, Ctr Singular Invest Med Mol & Enfermedades Cron C, Santiago De Compostela 1578, Spain..
    Brea, Jose
    Univ Santiago de Compostela, Ctr Singular Invest Med Mol & Enfermedades Cron C, Santiago De Compostela 1578, Spain..
    Isabel Cadavid, Mara
    Univ Santiago de Compostela, Ctr Singular Invest Med Mol & Enfermedades Cron C, Santiago De Compostela 1578, Spain..
    Gutiérrez-de-Terán, Hugo
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics.
    Sotelo, Eddy
    Univ Santiago de Compostela, Ctr Singular Invest Quim Biol & Mat Mol CIQUS, Santiago De Compostela 1578, Spain.;Univ Santiago de Compostela, Fac Farm, Dept Quim Organ, Santiago De Compostela 1578, Spain..
    Exploring the influence of the substituent at position 4 in a series of 3,4-dihydropyrimidin-2(1H)-one A(2B) adenosine receptor antagonists2017In: Chemistry of Heterocyclic Compounds, ISSN 0009-3122, E-ISSN 1573-8353, Vol. 53, no 3, p. 316-321Article in journal (Refereed)
    Abstract [en]

    In the context of a program to identify selective adenosine A(2B) receptor antagonists, we have obtained a focused library of 4-substituted 3,4-dihydropyrimidin-2(1H)-ones and its affinity for the four human adenosine receptor subtypes was determined. The synthesis was accomplished by using an experimentally simple and efficient Biginelli approach. The biological evaluation of the library revealed that all the documented derivatives exhibit low or negligible affinity for the A(2B) receptor, thus highlighting the critical importance of the substituent at position 4 of the 3,4-dihydropyrimidin-2(1H)-one chemotype.

  • 31.
    Dabrowski, Michal J.
    et al.
    Polish Acad Sci, Inst Comp Sci, Warsaw, Poland..
    Draminski, Michal
    Polish Acad Sci, Inst Comp Sci, Warsaw, Poland..
    Diamanti, Klev
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics.
    Stepniak, Karolina
    Nencki Inst Expt Biol, Warsaw, Poland..
    Mozolewska, Magdalena A.
    Polish Acad Sci, Inst Comp Sci, Warsaw, Poland..
    Teisseyre, Pawel
    Polish Acad Sci, Inst Comp Sci, Warsaw, Poland..
    Koronacki, Jacek
    Polish Acad Sci, Inst Comp Sci, Warsaw, Poland..
    Komorowski, Jan
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics. Polish Acad Sci, Inst Comp Sci, Warsaw, Poland.
    Kaminska, Bozena
    Nencki Inst Expt Biol, Warsaw, Poland..
    Wojtas, Bartosz
    Nencki Inst Expt Biol, Warsaw, Poland..
    Unveiling new interdependencies between significant DNA methylation sites, gene expression profiles and glioma patients survival2018In: Scientific Reports, ISSN 2045-2322, E-ISSN 2045-2322, Vol. 8, article id 4390Article in journal (Refereed)
    Abstract [en]

    In order to find clinically useful prognostic markers for glioma patients' survival, we employed Monte Carlo Feature Selection and Interdependencies Discovery (MCFS-ID) algorithm on DNA methylation (HumanMethylation450 platform) and RNA-seq datasets from The Cancer Genome Atlas (TCGA) for 88 patients observed until death. The input features were ranked according to their importance in predicting patients' longer (400+ days) or shorter (<= 400 days) survival without prior classification of the patients. Interestingly, out of the 65 most important features found, 63 are methylation sites, and only two mRNAs. Moreover, 61 out of the 63 methylation sites are among those detected by the 450 k array technology, while being absent in the HumanMethylation27. The most important methylation feature (cg15072976) overlaps with the RE1 Silencing Transcription Factor (REST) binding site, and was confirmed to intersect with the REST binding motif in human U87 glioma cells. Six additional methylation sites from the top 63 overlap with REST sites. We found that the methylation status of the cg15072976 site affects transcription factor binding in U87 cells in gel shift assay. The cg15072976 methylation status discriminates <= 400 and 400+ patients in an independent dataset from TCGA and shows positive association with survival time as evidenced by Kaplan-Meier plots.

  • 32.
    Das, Sarbashis
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular Biology. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Frisk, Christoffer
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Eriksson, Maria J.
    Karolinska Univ Hosp, Dept Clin Physiol, S-17176 Stockholm, Sweden;Karolinska Inst, Dept Mol Med & Surg, S-17177 Stockholm, Sweden.
    Walentinsson, Anna
    AstraZeneca, IMED Biotech Unit, Translat Sci Cardiovasc Renal & Metab Dis, S-43183 Gothenburg, Sweden.
    Corbascio, Matthias
    Karolinska Inst, Dept Mol Med & Surg, S-17177 Stockholm, Sweden;Karolinska Univ Hosp, Dept Thorac Surg, S-17176 Stockholm, Sweden.
    Hage, Camilla
    Karolinska Inst, Dept Med, S-17177 Stockholm, Sweden;Karolinska Univ Hosp, Heart & VascularTheme, S-17176 Stockholm, Sweden.
    Kumar, Chanchal
    AstraZeneca, IMED Biotech Unit, Translat Sci Cardiovasc Renal & Metab Dis, S-43183 Gothenburg, Sweden;Karolinska Inst, ICMC, Dept Med, S-14157 Huddinge, Sweden.
    Asp, Michaela
    Royal Inst Technol, Sci Life Lab, S-17121 Stockholm, Sweden.
    Lundeberg, Joakim
    Royal Inst Technol, Sci Life Lab, S-17121 Stockholm, Sweden.
    Maret, Eva
    Karolinska Univ Hosp, Dept Clin Physiol, S-17176 Stockholm, Sweden;Karolinska Inst, Dept Mol Med & Surg, S-17177 Stockholm, Sweden.
    Persson, Hans
    Karolinska Inst, Danderyd Hosp, Dept Clin Sci, S-18288 Stockholm, Sweden;Danderyd Hosp, Dept Cardiol, S-18288 Stockholm, Sweden.
    Linde, Cecilia
    Karolinska Inst, Dept Med, S-17177 Stockholm, Sweden;Karolinska Univ Hosp, Heart & VascularTheme, S-17176 Stockholm, Sweden.
    Persson, Bengt
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics. Karolinska Inst, Dept Med Biochem & Biophys, Sci Life Lab, S-17177 Stockholm, Sweden.
    Transcriptomics of cardiac biopsies reveals differences in patients with or without diagnostic parameters for heart failure with preserved ejection fraction2019In: Scientific Reports, ISSN 2045-2322, E-ISSN 2045-2322, Vol. 9, article id 3179Article in journal (Refereed)
    Abstract [en]

    Heart failure affects 2-3% of adult Western population. Prevalence of heart failure with preserved left ventricular (LV) ejection fraction (HFpEF) increases. Studies suggest HFpEF patients to have altered myocardial structure and functional changes such as incomplete relaxation and increased cardiac stiffness. We hypothesised that patients undergoing elective coronary bypass surgery (CABG) with HFpEF characteristics would show distinctive gene expression compared to patients with normal LV physiology. Myocardial biopsies for mRNA expression analysis were obtained from sixteen patients with LV ejection fraction >= 45%. Five out of 16 patients (31%) had echocardiographic characteristics and increased NTproBNP levels indicative of HFpEF and this group was used as HFpEF proxy, while 11 patients had Normal LV physiology. Utilising principal component analysis, the gene expression data clustered into two groups, corresponding to HFpEF proxy and Normal physiology, and 743 differentially expressed genes were identified. The associated top biological functions were cardiac muscle contraction, oxidative phosphorylation, cellular remodelling and matrix organisation. Our results also indicate that upstream regulatory events, including inhibition of transcription factors STAT4, SRF and TP53, and activation of transcription repressors HEY2 and KDM5A, could provide explanatory mechanisms to observed gene expression differences and ultimately cardiac dysfunction in the HFpEF proxy group.

  • 33.
    de Teran, Hugo Gutierrez
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics.
    Understanding ligand binding and receptor selectivity through molecular simulations2015In: European Biophysics Journal, ISSN 0175-7571, E-ISSN 1432-1017, Vol. 44, p. S202-S202Article in journal (Other academic)
  • 34.
    Diamanti, Klev
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Cavalli, Marco
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Medicinsk genetik och genomik. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Pan, Gang
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Medicinsk genetik och genomik. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Pereira, Maria J
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Clinical diabetology and metabolism.
    Kumar, Chanchal
    AstraZeneca, R&D BioPharmaceut, Translat Sci & Expt Med, Early Cardiovasc Renal & Metab, Gothenburg, Sweden;Karolinska Inst, AstraZeneca Integrated CardioMetab Ctr KI AZ ICMC, Dept Med, Huddinge, Sweden.
    Skrtic, Stanko
    AstraZeneca AB, Pharmaceut Technol & Dev, Gothenburg, Sweden;Sahlgrens Univ Hosp, Dept Med, Gothenburg, Sweden.
    Grabherr, Manfred
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Biochemistry and Microbiology.
    Risérus, Ulf
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism.
    Eriksson, Jan
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Clinical diabetology and metabolism.
    Komorowski, Jan
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics. Polish Acad Sci, Inst Comp Sci, Warsaw, Poland.
    Wadelius, Claes
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Medicinsk genetik och genomik.
    Intra- and inter-individual metabolic profiling highlights carnitine and lysophosphatidylcholine pathways as key molecular defects in type 2 diabetes2019In: Scientific Reports, ISSN 2045-2322, E-ISSN 2045-2322, Vol. 9, article id 9653Article in journal (Refereed)
    Abstract [en]

    Type 2 diabetes (T2D) mellitus is a complex metabolic disease commonly caused by insulin resistance in several tissues. We performed a matched two-dimensional metabolic screening in tissue samples from 43 multi-organ donors. The intra-individual analysis was assessed across five key metabolic tissues (serum, visceral adipose tissue, liver, pancreatic islets and skeletal muscle), and the inter-individual across three different groups reflecting T2D progression. We identified 92 metabolites differing significantly between non-diabetes and T2D subjects. In diabetes cases, carnitines were significantly higher in liver, while lysophosphatidylcholines were significantly lower in muscle and serum. We tracked the primary tissue of origin for multiple metabolites whose alterations were reflected in serum. An investigation of three major stages spanning from controls, to pre-diabetes and to overt T2D indicated that a subset of lysophosphatidylcholines was significantly lower in the muscle of pre-diabetes subjects. Moreover, glycodeoxycholic acid was significantly higher in liver of pre-diabetes subjects while additional increase in T2D was insignificant. We confirmed many previously reported findings and substantially expanded on them with altered markers for early and overt T2D. Overall, the analysis of this unique dataset can increase the understanding of the metabolic interplay between organs in the development of T2D.

  • 35.
    Diamanti, Klev
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics.
    Umer, Husen M.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics.
    Kruczyk, Marcin
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics.
    Dabrowski, Michal J.
    Polish Acad Sci, Inst Comp Sci, PL-01248 Warsaw, Poland..
    Cavalli, Marco
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Medicinsk genetik och genomik. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Wadelius, Claes
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Medicinsk genetik och genomik. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Komorowski, Jan
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics. Polish Acad Sci, Inst Comp Sci, PL-01248 Warsaw, Poland..
    Maps of context-dependent putative regulatory regions and genomic signal interactions2016In: Nucleic Acids Research, ISSN 0305-1048, E-ISSN 1362-4962, Vol. 44, no 19, p. 9110-9120Article in journal (Refereed)
    Abstract [en]

    Gene transcription is regulated mainly by transcription factors (TFs). ENCODE and Roadmap Epigenomics provide global binding profiles of TFs, which can be used to identify regulatory regions. To this end we implemented a method to systematically construct cell-type and species-specific maps of regulatory regions and TF-TF interactions. We illustrated the approach by developing maps for five human cell-lines and two other species. We detected similar to 144k putative regulatory regions among the human cell-lines, with the majority of them being similar to 300 bp. We found similar to 20k putative regulatory elements in the ENCODE heterochromatic domains suggesting a large regulatory potential in the regions presumed transcriptionally silent. Among the most significant TF interactions identified in the heterochromatic regions were CTCF and the cohesin complex, which is in agreement with previous reports. Finally, we investigated the enrichment of the obtained putative regulatory regions in the 3D chromatin domains. More than 90% of the regions were discovered in the 3D contacting domains. We found a significant enrichment of GWAS SNPs in the putative regulatory regions. These significant enrichments provide evidence that the regulatory regions play a crucial role in the genomic structural stability. Additionally, we generated maps of putative regulatory regions for prostate and colorectal cancer human cell-lines.

  • 36.
    Diamanti, Klev
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics.
    Visvanathar, Robin
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences.
    Pereira, Maria J
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Clinical diabetology and metabolism.
    Cavalli, Marco
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Medicinsk genetik och genomik. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Pan, Gang
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Medicinsk genetik och genomik.
    Kumar, Chanchal
    Translational Science & Experimental Medicine, Early Cardiovascular, Renal and Metabolism, R&D BioPharmaceuticals, AstraZeneca; Karolinska Institute/AstraZeneca Integrated CardioMetabolic Centre (KI/AZ ICMC), Department of Medicine.
    Stanko, Stanko
    Pharmaceutical Technology & Development, AstraZeneca AB; Department of Medicine, Sahlgrenska University Hospital, Gothenburg.
    Ingelsson, Martin
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Public Health and Caring Sciences, Geriatrics.
    Fall, Tove
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Cardiology.
    Lind, Lars
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular Medicine. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Medicinska och farmaceutiska vetenskapsområdet, centrumbildningar mm, Centre for Research and Development, Gävleborg. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Medicinska och farmaceutiska vetenskapsområdet, centrumbildningar mm, UCR-Uppsala Clinical Research Center. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Cardiology. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Public Health and Caring Sciences, Geriatrics. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Radiology. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Clinical Epidemiology.
    Risérus, Ulf
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Public Health and Caring Sciences, Geriatrics. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences.
    Eriksson, Jan
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Clinical diabetology and metabolism.
    Kullberg, Joel
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Public Health and Caring Sciences, Geriatrics. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Radiology.
    Wadelius, Claes
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Medicinsk genetik och genomik.
    Ahlström, Håkan
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Radiology.
    Komorowski, Jan
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics.
    Integration of whole-body PET/MRI with non-targeted metabolomics provides new insights into insulin sensitivity of various tissuesManuscript (preprint) (Other academic)
    Abstract [en]

    Background: Alteration of various metabolites has been linked to type 2 diabetes (T2D) and insulin resistance. However, identifying significant associations between metabolites and tissue-specific alterations is challenging and requires a multi-omics approach. In this study, we aimed at discovering associations of metabolites from subcutaneous adipose tissue (SAT) and plasma with the volume, the fat fraction (FF) and the insulin sensitivity (Ki) of specific tissues using [18F]FDG PET/MRI.

    Materials and Methods: In a cohort of 42 subjects with different levels of glucose tolerance (normal, prediabetes and T2D) matched for age and body-mass-index (BMI) we calculated associations between parameters of whole-body FDG PET/MRI during clamp and non-targeted metabolomics profiling for SAT and blood plasma. We also used a rule-based classifier to identify a large collection of prevalent patterns of co-dependent metabolites that characterize non-diabetes (ND) and T2D.

    Results: The plasma metabolomics profiling revealed that hepatic fat content was positively associated with tyrosine, and negatively associated with lysoPC(P-16:0). Ki in visceral adipose tissue (VAT) and SAT, was positively associated with several species of lysophospholipids while the opposite applied to branched-chain amino acids (BCAA) and their intermediates. The adipose tissue metabolomics revealed a positive association between non-esterified fatty acids and, VAT and liver Ki. On the contrary, bile acids and carnitines in adipose tissue were inversely associated with VAT Ki. Finally, we presented a transparent machine-learning model that predicted ND or T2D in “unseen” data with an accuracy of 78%.

    Conclusions: Novel associations of several metabolites from SAT and plasma with the FF, volume and insulin senstivity of various tissues throughout the body were discovered using PET/MRI and a new integrative multi-omics approach. A promising computational model that predicted ND and T2D with high certainty, suggested novel non-linear interdependencies of metabolites.

  • 37.
    Diwakarla, Shanti
    et al.
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Pharmaceutical Biosciences.
    Nylander, Erik
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Pharmaceutical Biosciences.
    Grönbladh, Alfhild
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Pharmaceutical Biosciences.
    Vanga, Sudarsana Reddy
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics.
    Khan, Yasmin Shamsudin
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics.
    Gutierrez-de-Teran, Hugo
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics.
    Sävmarker, Jonas
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Medicinal Chemistry, Organic Pharmaceutical Chemistry.
    Ng, Leelee
    Monash Univ, Dept Physiol, Biomed Discovery Inst, Clayton, Vic 3800, Australia..
    Pham, Vi
    Biomedicine Discovery Institute, Department of Physiology, Monash University, Clayton, Victoria 3800, Australia.
    Lundback, Thomas
    Karolinska Inst, Chem Biol Consortium Sweden, Sci Life Lab, Div Translat Med & Chem Biol,Dept Med Biochem & B, S-17177 Solna, Sweden..
    Jenmalm-Jensen, Annika
    Karolinska Inst, Chem Biol Consortium Sweden, Sci Life Lab, Div Translat Med & Chem Biol,Dept Med Biochem & B, S-17177 Solna, Sweden..
    Svensson, Richard
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Pharmacy. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Artursson, Per
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Pharmacy. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Zelleroth, Sofia
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Pharmaceutical Biosciences.
    Engen, Karin
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Medicinal Chemistry, Organic Pharmaceutical Chemistry.
    Rosenström, Ulrika
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Medicinal Chemistry, Organic Pharmaceutical Chemistry.
    Larhed, Mats
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Medicinal Chemistry, Division of Molecular Imaging.
    Åqvist, Johan
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics.
    Chai, Siew Yeen
    Biomedicine Discovery Institute, Department of Physiology, Monash University, Clayton, Victoria 3800, Australia.
    Hallberg, Mathias
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Pharmaceutical Biosciences.
    Aryl Sulfonamide Inhibitors of Insulin-Regulated Aminopeptidase Enhance Spine Density in Primary Hippocampal Neuron Cultures2016In: ACS Chemical Neuroscience, ISSN 1948-7193, E-ISSN 1948-7193, Vol. 7, no 10, p. 1383-1392Article in journal (Refereed)
    Abstract [en]

    The zinc metallopeptidase insulin regulated aminopeptidase (IRAP), which is highly expressed in the hippocampus and other brain regions associated with cognitive function, has been identified as a high-affinity binding site of the hexapeptide angiotensin IV (Ang IV). This hexapeptide is thought to facilitate learning and memory by binding to the catalytic site of IRAP to inhibit its enzymatic activity. In support of this hypothesis, low molecular weight, nonpeptide specific inhibitors of TRAP have been shown to enhance memory in rodent models. Recently, it was demonstrated that linear and macrocyclic Ang IV-derived peptides can alter the shape and increase the number of dendritic spines in hippocampal cultures, properties associated with enhanced cognitive performance. After screening a library of 10 500 drug like substances for their ability to inhibit IRAP, we identified a series of low molecular weight aryl sulfonamides, which exhibit no structural similarity to Ang IV, as moderately potent IRAP inhibitors:A structural and biological characterization of three of these aryl sulfonamides was performed. Their binding modes to human IRAP were explored by docking calculations combined with molecular dynamics simulations and binding affinity estimations using the linear interaction energy method. Two alternative binding modes emerged from this analysis, both of which correctly rank the ligands according to their experimental binding affinities for this series of compounds. Finally, we show that two of these drug-like IRAP inhibitors can alter dendritic spine morphology and increase spine density in primary cultures of hippocampal neurons.

  • 38.
    dos Santos Soares, Ricardo de Oliveira
    et al.
    Fac Med Marilia, Marilia, Brazil..
    Bortot, Leandro Oliveira
    Univ Sao Paulo, Fac Ciencias Farmaceut Ribeirao Preto, Dept Fis & Quim, Grp Fis Biol, Ribeirao Preto, Brazil..
    van Der Spoel, David
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational Biology and Bioinformatics. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Caliri, Antonio
    Univ Sao Paulo, Fac Ciencias Farmaceut Ribeirao Preto, Dept Fis & Quim, Grp Fis Biol, Ribeirao Preto, Brazil..
    Membrane vesiculation induced by proteins of the dengue virus envelope studied by molecular dynamics simulations2017In: Journal of Physics: Condensed Matter, ISSN 0953-8984, E-ISSN 1361-648X, Vol. 29, no 50, article id 504002Article in journal (Refereed)
    Abstract [en]

    Biological membranes are continuously remodeled in the cell by specific membrane-shaping machineries to form, for example, tubes and vesicles. We examine fundamental mechanisms involved in the vesiculation processes induced by a cluster of envelope (E) and membrane (M) proteins of the dengue virus (DENV) using molecular dynamics simulations and a coarse-grained model. We show that an arrangement of three E-M heterotetramers (EM3) works as a bending unit and an ordered cluster of five such units generates a closed vesicle, reminiscent of the virus budding process. In silico mutagenesis of two charged residues of the anchor helices of the envelope proteins of DENV shows that Arg-471 and Arg-60 are fundamental to produce bending stress on the membrane. The fine-tuning between the size of the EM3 unit and its specific bending action suggests this protein unit is an important factor in determining the viral particle size.