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  • 1.
    Abdalaal, Hind
    et al.
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Biochemistry and Microbiology.
    Pundir, Shreya
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology.
    Ge, Xueliang
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular Biology.
    Sanyal, Suparna
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular Biology.
    Näsvall, Joakim
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Biochemistry and Microbiology.
    Collateral toxicity limits the evolution of bacterial Release Factor 2 towards total omnipotence2020In: Molecular biology and evolution, ISSN 0737-4038, E-ISSN 1537-1719, Vol. 37, no 10, p. 2918-2930Article in journal (Refereed)
    Abstract [en]

    When new genes evolve through modification of existing genes, there are often trade-offs between the new and original functions, making gene duplication and amplification necessary to buffer deleterious effects on the original function. We have used experimental evolution of a bacterial strain lacking peptide release factor 1 (RF1) in order to study how peptide release factor 2 (RF2) evolves to compensate the loss of RF1. As expected, amplification of the RF2-encoding gene prfB to high copy number was a rapid initial response, followed by the appearance of mutations in RF2 and other components of the translation machinery. Characterization of the evolved RF2 variants by their effects on bacterial growth rate, reporter gene expression, and in vitro translation termination reveals a complex picture of reduced discrimination between the cognate and near cognate stop codons and highlight a functional trade-off that we term “collateral toxicity”. We suggest that this type of trade-off may be a more serious obstacle in new gene evolution than the more commonly discussed evolutionary trade-offs between “old” and “new” functions of a gene, as it cannot be overcome by gene copy number changes. Further, we suggest a model for how RF2 autoregulation responds not only to alterations in the demand for RF2 activity, but also for RF1 activity.

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  • 2.
    Abdelaziz, Nouha
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Biology Education Centre. Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology.
    The role of RNA-binding protein FUBL-1 in epigenetic inheritance in C. elegans2022Independent thesis Advanced level (degree of Master (Two Years)), 30 credits / 45 HE creditsStudent thesis
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  • 3.
    Abdeldaim, Guma M. K.
    et al.
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Clinical Bacteriology.
    Strålin, Kristoffer
    Department of Infectious Diseases, Örebro University Hospital.
    Kirsebom, Leif A.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Microbiology.
    Olcén, Per
    Department of Clinical Microbiology, Örebro University Hospital.
    Blomberg, Jonas
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Clinical Virology.
    Herrmann, Björn
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Clinical Bacteriology.
    Detection of Haemophilus influenzae in respiratory secretions from pneumonia patients by quantitative real-time polymerase chain reaction2009In: Diagnostic microbiology and infectious disease, ISSN 0732-8893, E-ISSN 1879-0070, Vol. 64, no 4, p. 366-373Article in journal (Refereed)
    Abstract [en]

    A quantitative real-time polymerase chain reaction (PCR) based on the omp P6 gene was developed to detect Haemophilus influenzae. Its specificity was determined by analysis of 29 strains of 11 different Haemophilus spp. and was compared with PCR assays having other target genes: rnpB, 16S rRNA, and bexA. The method was evaluated on nasopharyngeal aspirates from 166 adult patients with community-acquired pneumonia. When 104 DNA copies/mL was used as cutoff limit for the method, P6 PCR had a sensitivity of 97.5% and a specificity of 96.0% compared with the culture. Of 20 culture-negative but P6 PCR-positive cases, 18 were confirmed by fucK PCR as H. influenzae. Five (5.9%) of 84 nasopharyngeal aspirates from adult controls tested PCR positive. We conclude that the P6 real-time PCR is both sensitive and specific for identification of H. influenzae in respiratory secretions. Quantification facilitates discrimination between disease-causing H. influenzae strains and commensal colonization.

  • 4.
    Abdul Rahman, Zozek
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Biology Education Centre. Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology.
    Expression of FLAG-tagged argonautes in Dictyostelium discoideum2022Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    Argonautes are conserved RNA-binding proteins that can regulate gene expression post transcriptionally through a process known as RNA interference (RNAi). This is done through the use of small RNAs, e.g. sRNAs that act as a guide for the argonautes, allowing for sequence-specific binding to the target site. This interaction has been studied in many organisms, one of which is the model organism Dictyostelium discoideum. D. discoideum is an amoeba that has been used extensively in genetic experiments due to its unique lifestyle, and ease of use. Being a eukaryotic, unicellular organism, it proves to be a great tool for the study of regulatory systems in eukaryotes, allowing us to study this argonaute-sRNA interaction in detail. By analysing which RNAs bind to the argonautes, we can better understand which genes these proteins regulate and what role RNAi has in the organisms as a whole. 

    In this study, I investigate three of the five argonautes found in D. discoideum, namely agnA, agnC and agnE. By transforming FLAG-tagged versions of these genes into the amoeba, I successfully express two of these modified proteins in D. discoideum and verified expression by using antibodies designed specifically to recognise the FLAG-tags. This opens up the possibility for the characterisation of the argonaute proteins to better understand their role and function in the regulation of genes. 

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  • 5. Abola, EE
    et al.
    Bairoch, A
    Barker, WC
    Beck, S
    Benson, DA
    Berman, H
    Cantor, C
    Cantor, C
    Doubet, S
    Hubbard, TJP
    Jones, T. A.
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Faculty of Science and Technology, Biology, Department of Cell and Molecular Biology. Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Faculty of Science and Technology, Biology, Department of Cell and Molecular Biology, Structural Molecular Biology.
    Kleywegt, G J
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Faculty of Science and Technology, Biology, Department of Cell and Molecular Biology. Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Faculty of Science and Technology, Biology, Department of Cell and Molecular Biology, Structural Molecular Biology.
    Kolaskar, AS
    van Kuik, A
    Lesk, A M
    Mewes, H W
    Neuhaus, D
    Pfeiffer, F
    Ten Eyck, LF
    Simpson, RJ
    Stoesser, G
    Sussman, J L
    Tateno, Y
    Tsugita, A
    Ulrich, EL
    Vliegenthart, JFG
    Quality control in databanks for molecular biology2000In: BioEssays, Vol. 22, p. 1024-1034Article, review/survey (Other (popular scientific, debate etc.))
  • 6.
    Abu Sabaa, Amal
    et al.
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Disciplinary Domain of Medicine and Pharmacy, research centers etc., Centre for Research and Development, Gävleborg. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Cancer Immunotherapy.
    Mörth, Charlott
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Disciplinary Domain of Medicine and Pharmacy, research centers etc., Centre for Clinical Research Sörmland. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Cancer Immunotherapy.
    Berglund, Mattias
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Cancer Immunotherapy.
    Hashemi, Jamileh
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Cancer Immunotherapy.
    Amini, Rose-Marie
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Cancer Immunotherapy.
    Freyhult, Eva
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Cancer Pharmacology and Computational Medicine. Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology.
    Kamali-Moghaddam, Masood
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Molecular Tools and Functional Genomics.
    Robelius, Anna
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Haematology.
    Enblad, Gunilla
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Cancer Immunotherapy.
    T-cell Leukaemia/Lymphoma Protein 1A (TCL1A) In Diffuse Large B-cell lymphoma (DLBCL)Manuscript (preprint) (Other academic)
  • 7.
    Abu Sabaa, Amal
    et al.
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Disciplinary Domain of Medicine and Pharmacy, research centers etc., Centre for Research and Development, Gävleborg. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Cancer Immunotherapy.
    Mörth, Charlott
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Disciplinary Domain of Medicine and Pharmacy, research centers etc., Centre for Clinical Research Sörmland. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Cancer Immunotherapy.
    Molin, Daniel
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Cancer Immunotherapy.
    Freyhult, Eva
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Cancer Pharmacology and Computational Medicine. Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology.
    Kamali-Moghaddam, Masood
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Molecular Tools and Functional Genomics.
    Robelius, Anna
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Haematology.
    Enblad, Gunilla
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Cancer Immunotherapy.
    Plasma Protein Profiling using Multiplex Extension Assay in Diffuse large B-cell lymphoma (DLBCL) treated with R-CHOP: A descriptive studyManuscript (preprint) (Other academic)
  • 8.
    Abubeker, Ismail
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Visualizing fusion between liposomes and influenza virus through trEM2024Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    Time-resolved cryogenic electron microscopy (cryo-EM) is a powerful technique for capturingtransient molecular and viral structures during conformational changes. This method providesunique and potentially critical insights into the transient states of biomolecules, which can beinvaluable for drug development. Additionally, it offers glimpses into the pathology of viruses asthey interact with their immediate environment. In this project, a plunge freezer initially designedfor a spray-and-plunge approach in time-resolved cryo-EM [24] was modified to implement aflash-and-freeze system [3]. This modified system was tested on two different viruses: influenzaH3N2 type A and Chaetoceros tenuissimus DNA virus type II. The primary objective was tovisualize an intermediate state during the membrane fusion process between influenza A andliposomes with endosomal characteristics. Although no intermediate state was captured forinfluenza, the activation and pH reduction were successfully achieved. The study on Chaetocerostenuissimus DNA virus type II focused on potential conformational changes due to a drop in pH,rather than capturing intermediate states in a time-resolved manner. Future experiments withmore precise control over blotting, delivered intensity, and the concentration of the cagedcompound are expected to facilitate the capture and analysis of intermediate states.

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  • 9.
    Acharya, P
    et al.
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Faculty of Science and Technology, Biology, Department of Bioorganic Chemistry. Department of Cell and Molecular Biology, Bioorganic Chemistry.
    Chattopadhyaya, J
    Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Faculty of Science and Technology, Biology, Department of Bioorganic Chemistry. Department of Cell and Molecular Biology, Bioorganic Chemistry.
    Electrostatic Cross-modulation of the Pseudoaromatic Character in Single Stranded RNA by Nearest-neighbor interactions2005In: Pure and Applied Chemistry, Vol. 77, no 1, p. 291-311Article in journal (Refereed)
  • 10. Adamczyk, Andrew J.
    et al.
    Cao, Jie
    Kamerlin, Shina C. Lynn
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational and Systems Biology.
    Warshel, Arieh
    Catalysis by dihydrofolate reductase and other enzymes arises from electrostatic preorganization, not conformational motions2011In: Proceedings of the National Academy of Sciences of the United States of America, ISSN 0027-8424, E-ISSN 1091-6490, Vol. 108, no 34, p. 14115-14120Article in journal (Refereed)
    Abstract [en]

    The proposal that enzymatic catalysis is due to conformational fluctuations has been previously promoted by means of indirect considerations. However, recent works have focused on cases where the relevant motions have components toward distinct conformational regions, whose population could be manipulated by mutations. In particular, a recent work has claimed to provide direct experimental evidence for a dynamical contribution to catalysis in dihydrofolate reductase, where blocking a relevant conformational coordinate was related to the suppression of the motion toward the occluded conformation. The present work utilizes computer simulations to elucidate the true molecular basis for the experimentally observed effect. We start by reproducing the trend in the measured change in catalysis upon mutations (which was assumed to arise as a result of a "dynamical knockout" caused by the mutations). This analysis is performed by calculating the change in the corresponding activation barriers without the need to invoke dynamical effects. We then generate the catalytic landscape of the enzyme and demonstrate that motions in the conformational space do not help drive catalysis. We also discuss the role of flexibility and conformational dynamics in catalysis, once again demonstrating that their role is negligible and that the largest contribution to catalysis arises from electrostatic preorganization. Finally, we point out that the changes in the reaction potential surface modify the reorganization free energy (which includes entropic effects), and such changes in the surface also alter the corresponding motion. However, this motion is never the reason for catalysis, but rather simply a reflection of the shape of the reaction potential surface.

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  • 11.
    Adams, Christopher
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences.
    Kjeldsen, Frank
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Ion Physics.
    Patriksson, Alexandra
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology.
    van Der Spoel, David
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Gräslund, Astrid
    Papadopolous, Evangelos
    Zubarev, Roman
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology.
    Probing Solution-Phase and Gas-Phase Structures of Trp-cage Cations by Chiral Substitution and Spectroscopic Techniques2006In: International Journal of Mass Spectrometry, ISSN 1387-3806, E-ISSN 1873-2798, Vol. 253, no 3, p. 263-273Article in journal (Refereed)
    Abstract [en]

    The relevance of gas-phase protein structure to its solution structure is of the utmost importance in studying biomolecules by mass spectrometry. D-Amino acid substitutions within a minimal protein. Trp-cage. were used to correlate solution-phase properties as measured by circular dichroism with solution/gas-phase conformational features of protein cations probed via charge state distribution (CSD) in electrospray ionization. and gas-phase features revealed by tandem mass spectrometry (MS/MS). The gas-phase features were additionally supported by force-field molecular dynamics simulations. CD data showed that almost any single-residue D-substitution destroys the most prominent CD feature of the "native" all-L isomer, alpha-helicity. CSD was able to qualitatively assess the degree of compactness of solution-phase molecular structures. CSD results were consistent with the all-L form being the most compact in solution among all studied stereoisomers except for the D-Asn(1) isomer. D-substitutions of the aromatic Y(3), W(6) and Q(5) residues generated the largest deviations in CSD data among single amino acid substitutions. consistent with the critical role of these residues in Trp-cage stability. Electron capture dissociation of the stereoisomer dications gave an indication that some gas-phase structural features of Trp-cage are similar to those in solution. This result is supported by MDS data oil five of the studied stereoisomer dications in the gas-phase. The MDS-derived minimum-energy structures possessed more extensive hydrogen bonding than the solution-phase structure of the native form, deviating from the latter by 3-4 angstrom and were not 'inside-out' compared to native structures. MDS data could be correlated with CD data and even with ECD results. which aided in providing a long-range structural constraint for MDS. The overall conclusion is the general resemblance, despite the difference on the detailed level, of the preferred structures in both phases for the mini protein Trp-cage.

  • 12.
    Adler, Marlen
    et al.
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Biochemistry and Microbiology.
    Anjum, Mehreen
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Biochemistry and Microbiology.
    Berg, Otto, G.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational and Systems Biology.
    Andersson, Dan I.
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Biochemistry and Microbiology.
    Sandegren, Linus
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Biochemistry and Microbiology.
    High Fitness Costs and Instability of Gene Duplications Reduce Rates of Evolution of New Genes by Duplication-Divergence Mechanisms2014In: Molecular biology and evolution, ISSN 0737-4038, E-ISSN 1537-1719, Vol. 31, no 6, p. 1526-1535Article in journal (Refereed)
    Abstract [sv]

    An important mechanism for generation of new genes is by duplication-divergence of existing genes. Duplication-divergence includes several different sub-models, such as subfunctionalization where after accumulation of neutral mutations the original function is distributed between two partially functional and complementary genes, and neofunctionalization where a new function evolves in one of the duplicated copies while the old function is maintained in another copy. The likelihood of these mechanisms depends on the longevity of the duplicated state, which in turn depends on the fitness cost and genetic stability of the duplications. Here, we determined the fitness cost and stability of defined gene duplications/amplifications on a low copy number plasmid. Our experimental results show that the costs of carrying extra gene copies are substantial and that each additional kbp of DNA reduces fitness by approximately 0.15%. Furthermore, gene amplifications are highly unstable and rapidly segregate to lower copy numbers in absence of selection. Mathematical modelling shows that the fitness costs and instability strongly reduces the likelihood of both sub- and neofunctionalization, but that these effects can be off-set by positive selection for novel beneficial functions.

  • 13.
    Adler, Sara
    et al.
    Umea Univ, Unit Clin Res Ctr Ostersund, Dept Publ Hlth & Clin Med, Umea, Sweden..
    Widerstrom, Micael
    Umea Univ, Unit Communicable Dis Control & Prevent Ostersund, Dept Clin Microbiol, Umea, Sweden..
    Lindh, Johan
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Microbiology.
    Lilja, Mikael
    Umea Univ, Unit Clin Res Ctr Ostersund, Dept Publ Hlth & Clin Med, Umea, Sweden..
    Symptoms and risk factors of Cryptosporidium hominis infection in children: data from a large waterborne outbreak in Sweden2017In: Parasitology Research, ISSN 0932-0113, E-ISSN 1432-1955, Vol. 116, no 10, p. 2613-2618Article in journal (Refereed)
    Abstract [en]

    Cryptosporidium is a major cause of diarrheal disease worldwide. In developing countries, this infection is endemic and in children, associated with growth faltering and cognitive function deficits, with the most severe impact on those aged <2 years. Little has been reported about symptoms and risk factors for children in industrialized countries, although the disease incidence is increasing in such regions. In November 2010, a large waterborne outbreak of C. hominis occurred in the city of Ostersund in Sweden. Approximately 27,000 of the 60,000 inhabitants were symptomatic. We aimed to describe duration of symptoms and the risk factors for infection with C. hominis in children aged <15 years in a Western setting. Within 2 months after a boil water advisory, a questionnaire was sent to randomly selected inhabitants of all ages, including 753 children aged <15 years. Those with >= 3 loose stools/day were defined as cases of diarrhoea. The response rate was 70.3%, and 211 children (39.9%) fulfilled the case definition. Mean duration of diarrhoea was 7.5 days (median 6, range 1-80 days). Recurrence, defined as a new episode of diarrhoea after >= 2 days of normal stools, occurred in 52.5% of the cases. Significant risk factors for infection, besides living within the distribution area of the contaminated water plant, included a high level of water consumption, male sex, and a previous history of loose stools. The outbreak was characterized by high attack and recurrence rates, emphasizing the necessity of water surveillance to prevent future outbreaks.

  • 14.
    Aguileta, Gabriela
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, The Linnaeus Centre for Bioinformatics.
    Bielawski, Joseph P.
    Yang, Ziheng
    Proposed standard nomenclature for the alpha- and beta-globin gene families2006In: Genes & Genetic Systems, ISSN 1341-7568, E-ISSN 1880-5779, Vol. 81, no 5, p. 367-371Article in journal (Refereed)
    Abstract [en]

    The globin family of genes and proteins has been a recurrent object of study for many decades. This interest has generated a vast amount of knowledge. However it has also created an inconsistent and confusing nomenclature, due to the lack of a systematic approach to naming genes and failure to reflect the phylogenetic relationships among genes of the gene family. To alleviate the problems with the existing system, here we propose a standardized nomenclature for the alpha and beta globin family of genes, based on a phylogenetic analysis of vertebrate alpha and beta globins, and following the Guidelines for Human Gene Nomenclature.

  • 15.
    Aguirre Rivera, Javier
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular Systems Biology.
    Tracking single molecules in uncharted territory: A single-molecule method to study kinetics in live bacteria2020Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    The synthesis of proteins, also known as translation, is a fundamental process in every living organism. The steps in the translation of genetic information to functional proteins have been meticulously studied, mostly using in vitro techniques, yielding a detailed model of their mechanisms. However, the use of minimal cell-free systems allows for the possibility to miss interactions from absent components or that reactions are affected by the buffer composition. The work presented in this thesis opens a way to study the kinetics of complex molecular processes, like protein synthesis, directly inside live bacterial cells in real time. We developed and optimized a method to deliver dye-labeled macromolecules inside live cells and generate a kinetic model of the particle’s interactions based on its diffusion inside the cell.

    This method facilitated the study of translation elongation and initiation directly in live cells. Our measurements of reaction times of tRNA in the ribosome, agree with previous reports from in vitro techniques. We further applied the method to examine the effects of three aminoglycoside antibiotics and erythromycin directly in live cells. The aminoglycoside antibiotics slowed-down protein synthesis 2- to 4-fold, while the number of elongation cycles per initiation event decreased significantly. In the case of erythromycin, cells showed a 4-fold slower protein synthesis. Additionally, we measured the kinetics of sequence-specific effects of erythromycin: translational arrest, and peptidyl-tRNA drop-off; these in vivo measurements revealed a complex mechanism of action of the drug, in agreement with models suggested by previous experiments. Additionally, we applied the method to measure the effects, on the kinetics of protein synthesis, caused by modifications in the C-terminal tail of the S13 ribosomal protein. Our measurements showed that specific mutations led to different changes in the occupancy and dwell-time of labeled-tRNA in the ribosome.

    To summarize, the present work will guide the reader through the development of a method to study the kinetics of protein synthesis directly in live bacterial cells, as well as its application to characterize the effects of different antibiotics within the complex environment of a living organism.

    List of papers
    1. tRNA tracking for direct measurements of protein synthesis kinetics in live cells
    Open this publication in new window or tab >>tRNA tracking for direct measurements of protein synthesis kinetics in live cells
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    2018 (English)In: Nature Chemical Biology, ISSN 1552-4450, E-ISSN 1552-4469, Vol. 14, no 6, p. 618-626Article in journal (Refereed) Published
    Abstract [en]

    Our ability to directly relate results from test-tube biochemical experiments to the kinetics in living cells is very limited. Here we present experimental and analytical tools to directly study the kinetics of fast biochemical reactions in live cells. Dye-labeled molecules are electroporated into bacterial cells and tracked using super-resolved single-molecule microscopy.Trajectories are analyzed by machine-learning algorithms to directly monitor transitions between bound and free states. In particular, we measure the dwell time of tRNAs on ribosomes, and hence achieve direct measurements of translation rates inside living cells at codon resolution. We find elongation rates with tRNA(Phe) that are in perfect agreement with previous indirect estimates, and once fMet-tRNA(fMet) has bound to the 30S ribosomal subunit, initiation of translation is surprisingly fast and does not limit the overall rate of protein synthesis. The experimental and analytical tools for direct kinetics measurements in live cells have applications far beyond bacterial protein synthesis.

    Place, publisher, year, edition, pages
    NATURE PUBLISHING GROUP, 2018
    National Category
    Biochemistry and Molecular Biology Cell and Molecular Biology
    Identifiers
    urn:nbn:se:uu:diva-359663 (URN)10.1038/s41589-018-0063-y (DOI)000435445100019 ()29769736 (PubMedID)
    Funder
    Swedish Research Council, 2015-04111EU, European Research Council, ERC-2013-CoG 616047 SMILEKnut and Alice Wallenberg FoundationWenner-Gren FoundationsCarl Tryggers foundation , CTS 15:243
    Available from: 2018-09-05 Created: 2018-09-05 Last updated: 2020-08-21Bibliographically approved
    2. Real-time measurements of aminoglycoside effects on protein synthesis in live cells
    Open this publication in new window or tab >>Real-time measurements of aminoglycoside effects on protein synthesis in live cells
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    (English)Manuscript (preprint) (Other academic)
    Keywords
    Single-molecule translation protein synthesis fluorescence microscopy bacteria antibiotics aminoglycoside gentamicin paromomycin apramycin
    National Category
    Biochemistry and Molecular Biology
    Identifiers
    urn:nbn:se:uu:diva-417619 (URN)
    Available from: 2020-08-21 Created: 2020-08-21 Last updated: 2020-09-08
    3. Direct measurements of erythromycin’s effect on protein synthesis kinetics in living bacterial cells
    Open this publication in new window or tab >>Direct measurements of erythromycin’s effect on protein synthesis kinetics in living bacterial cells
    2021 (English)In: Journal of Molecular Biology, ISSN 0022-2836, E-ISSN 1089-8638, Vol. 433, no 10, article id 166942Article in journal (Refereed) Published
    Abstract [en]

    Macrolide antibiotics, such as erythromycin, bind to the nascent peptide exit tunnel (NPET) of the bacterial ribosome and modulate protein synthesis depending on the nascent peptide sequence. Whereas in vitro biochemical and structural methods have been instrumental in dissecting and explaining the molecular details of macrolide-induced peptidyl-tRNA drop-off and ribosome stalling, the dynamic effects of the drugs on ongoing protein synthesis inside live bacterial cells are far less explored. In the present study, we used single-particle tracking of dye-labeled tRNAs to study the kinetics of mRNA translation in the presence of erythromycin, directly inside live Escherichia coli cells. In erythromycin-treated cells, we find that the dwells of elongator tRNA(Phe) on ribosomes extend significantly, but they occur much more seldom. In contrast, the drug barely affects the ribosome binding events of the initiator tRNA(fMet). By overexpressing specific short peptides, we further find context-specific ribosome binding dynamics of tRNA(Phe), underscoring the complexity of erythromycin's effect on protein synthesis in bacterial cells.

    Place, publisher, year, edition, pages
    Elsevier, 2021
    Keywords
    Single-molecule translation protein synthesis fluorescence microscopy bacteria antibiotics erythromycin
    National Category
    Biochemistry and Molecular Biology
    Identifiers
    urn:nbn:se:uu:diva-417623 (URN)10.1016/j.jmb.2021.166942 (DOI)000643684400005 ()33744313 (PubMedID)
    Funder
    Swedish Research Council, 2015-04111Swedish Research Council, 2016-06264Swedish Research Council, 2019-03714Wenner-Gren FoundationsCarl Tryggers foundation , 15:243Carl Tryggers foundation , 17:226
    Available from: 2020-08-21 Created: 2020-08-21 Last updated: 2024-01-15Bibliographically approved
    4. An extended C-terminal tail of the ribosomal protein S13 modulates the speed of ribosomal translocation.
    Open this publication in new window or tab >>An extended C-terminal tail of the ribosomal protein S13 modulates the speed of ribosomal translocation.
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    (English)Manuscript (preprint) (Other academic)
    Keywords
    Protein synthesis S13 single-molecule tRNA translocation
    National Category
    Biochemistry and Molecular Biology
    Identifiers
    urn:nbn:se:uu:diva-417624 (URN)
    Available from: 2020-08-21 Created: 2020-08-21 Last updated: 2020-08-21
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  • 16.
    Aguirre Rivera, Javier
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular Systems Biology. Uppsala Universitet.
    Larsson, Jimmy
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Biochemistry and Microbiology. Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular Systems Biology. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Seefeldt, A. Carolin
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular Systems Biology.
    Sanyal, Suparna
    Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Science and Technology. Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular Biology.
    Johansson, Magnus
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular Systems Biology.
    Real-time measurements of aminoglycoside effects on protein synthesis in live cellsManuscript (preprint) (Other academic)
  • 17.
    Aguirre Rivera, Javier
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular Systems Biology.
    Larsson, Jimmy
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Biochemistry and Microbiology. Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular Systems Biology. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Volkov, Ivan
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular Systems Biology.
    Seefeldt, A. Carolin
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular Systems Biology.
    Sanyal, Suparna
    Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Science and Technology. Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular Biology.
    Johansson, Magnus
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular Systems Biology.
    Real-time measurements of aminoglycoside effects on protein synthesis in live cells2021In: Proceedings of the National Academy of Sciences of the United States of America, ISSN 0027-8424, E-ISSN 1091-6490, Vol. 118, no 9, article id e2013315118Article in journal (Refereed)
    Abstract [en]

    The spread of antibiotic resistance is turning many of the currently used antibiotics less effective against common infections. To address this public health challenge, it is critical to enhance our understanding of the mechanisms of action of these compounds. Aminoglycoside drugs bind the bacterial ribosome, and decades of results from in vitro biochemical and structural approaches suggest that these drugs disrupt protein synthesis by inhibiting the ribosome's translocation on the messenger RNA, as well as by inducing miscoding errors. So far, however, we have sparse information about the dynamic effects of these compounds on protein synthesis inside the cell. In the present study, we measured the effect of the aminoglycosides apramycin, gentamicin, and paromomycin on ongoing protein synthesis directly in live Escherichia coli cells by tracking the binding of dye-labeled transfer RNAs to ribosomes. Our results suggest that the drugs slow down translation elongation two- to fourfold in general, and the number of elongation cycles per initiation event seems to decrease to the same extent. Hence, our results imply that none of the drugs used in this study cause severe inhibition of translocation.

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  • 18.
    Aguirre Rivera, Javier
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular Systems Biology. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Mao, Guanzhong
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Sabantsev, Anton
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Panfilov, Mikhail
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Hou, Qinhan
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Lindell, Magnus
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences.
    Chanez, C.
    Univ Zurich, Dept Biochem, CH-8057 Zurich, Switzerland..
    Ritort, F.
    Univ Barcelona, Condensed Matter Phys Dept, Small Biosyst Lab, Barcelona 08028, Spain.;Univ Barcelona, Inst Nanociencia & Nanotecnol In2UB, Barcelona 08028, Spain..
    Jinek, M.
    Univ Zurich, Dept Biochem, CH-8057 Zurich, Switzerland..
    Deindl, Sebastian
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Massively parallel analysis of single-molecule dynamics on next-generation sequencing chips2024In: Science, ISSN 0036-8075, E-ISSN 1095-9203, Vol. 385, no 6711, p. 892-898Article in journal (Refereed)
    Abstract [en]

    Single-molecule techniques are ideally poised to characterize complex dynamics but are typically limited to investigating a small number of different samples. However, a large sequence or chemical space often needs to be explored to derive a comprehensive understanding of complex biological processes. Here we describe multiplexed single-molecule characterization at the library scale (MUSCLE), a method that combines single-molecule fluorescence microscopy with next-generation sequencing to enable highly multiplexed observations of complex dynamics. We comprehensively profiled the sequence dependence of DNA hairpin properties and Cas9-induced target DNA unwinding-rewinding dynamics. The ability to explore a large sequence space for Cas9 allowed us to identify a number of target sequences with unexpected behaviors. We envision that MUSCLE will enable the mechanistic exploration of many fundamental biological processes.

  • 19.
    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.

  • 20.
    Ahluwalia, Tarunveer S.
    et al.
    Steno Diabet Ctr Copenhagen, DK-2820 Gentofte, Denmark.;Univ Copenhagen, Bioinformat Ctr, Dept Biol, DK-2200 Copenhagen, Denmark..
    Prins, Bram P.
    Univ Groningen, Univ Med Ctr Groningen, Dept Epidemiol, NL-9700 RB Groningen, Netherlands..
    Abdollahi, Mohammadreza
    Univ Groningen, Univ Med Ctr Groningen, Dept Epidemiol, NL-9700 RB Groningen, Netherlands..
    Armstrong, Nicola J.
    Murdoch Univ, Math & Stat, Perth, WA 6150, Australia..
    Aslibekyan, Stella
    Univ Alabama Birmingham, Sch Publ Hlth, Dept Epidemiol, Birmingham, AL 35233 USA..
    Bain, Lisa
    QIMR Berghofer Med Res Inst, Brisbane, Qld 4006, Australia..
    Jefferis, Barbara
    UCL, UCL Inst Epidemiol & Hlth Care, Dept Primary Care & Populat Hlth, London NW3 2PF, England..
    Baumert, Jens
    Helmholtz Zentrum Munchen, Inst Epidemiol, German Res Ctr Environm Hlth, D-85764 Neuherberg, Germany..
    Beekman, Marian
    Leiden Univ Med Ctr, Dept Biomed Data Sci, Sect Mol Epidemiol, NL-2300 RC Leiden, Netherlands..
    Ben-Shlomo, Yoav
    Univ Bristol, Populat Hlth Sci, Bristol BS8 2PS, Avon, England..
    Bis, Joshua C.
    Univ Washington, Dept Med, Cardiovasc Hlth Res Unit, Seattle, WA 98101 USA..
    Mitchell, Braxton D.
    Univ Maryland, Dept Med, Sch Med, Baltimore, MD 21202 USA..
    de Geus, Eco
    Vrije Univ Amsterdam, Dept Biol Psychol Behav & Movement Sci, NL-1081 BT Amsterdam, Netherlands.;Amsterdam Univ Med Ctr, Amsterdam Publ Hlth Res Inst, NL-1105 AZ Amsterdam, Netherlands..
    Delgado, Graciela E.
    Heidelberg Univ, Med Fac Mannheim, Dept Med Nephrol Hypertensiol Rheumatol Endocrino, D-68167 Mannheim, Germany..
    Marek, Diana
    SIB Swiss Inst Bioinformat, CH-1015 Lausanne, Switzerland..
    Eriksson, Joel
    Univ Gothenburg, Sahlgrenska Acad, Ctr Bone & Arthrit Res CBAR, Dept Internal Med & Clin Nutr, S-41345 Gothenburg, Sweden..
    Kajantie, Eero
    Natl Inst Hlth & Welf, Chron Dis Prevent Unit, POB 30, Helsinki 00271, Finland.;Helsinki Univ Cent Hosp, Hosp Children & Adolescents, Helsinki 00014, Finland.;Univ Helsinki, Helsinki 00014, Finland..
    Kanoni, Stavroula
    Queen Mary Univ London, Barts & London Med Sch, William Harvey Res Inst, London EC1M 6BQ, England..
    Kemp, John P.
    Univ Queensland, Univ Queensland Diamantina Inst, Woolloongabba, Qld 4102, Australia.;Univ Bristol, MRC Integrat Epidemiol Unit, Bristol BS8 2BN, Avon, England..
    Lu, Chen
    Boston Univ, Dept Biostat, Sch Publ Hlth, Boston, MA 02118 USA..
    Marioni, Riccardo E.
    Univ Edinburgh, Ctr Genom & Expt Med, Inst Genet & Mol Med, Edinburgh EH4 2XU, Midlothian, Scotland.;Univ Edinburgh, Ctr Cognit Ageing & Cognit Epidemiol, Edinburgh EH8 9JZ, Midlothian, Scotland..
    McLachlan, Stela
    Univ Edinburgh, Usher Inst, Edinburgh EH8 9AG, Midlothian, Scotland..
    Milaneschi, Yuri
    Vrije Univ, Dept Psychiat, Amsterdam UMC, NL-1081 HJ Amsterdam, Netherlands..
    Nolte, Ilja M.
    Univ Groningen, Univ Med Ctr Groningen, Dept Epidemiol, NL-9700 RB Groningen, Netherlands..
    Petrelis, Alexandros M.
    Univ Lorraine, IGE PCV, INSERM, F-54000 Nancy, France..
    Porcu, Eleonora
    CNR, Ist Ric Genet & Biomed, I-09042 Monserrato, CA, Italy..
    Sabater-Lleal, Maria
    Karolinska Inst, Ctr Mol Med, Dept Med Solna, Cardiovasc Med, S-17176 Stockholm, Sweden.;Inst Invest Biomed St Pau IIB St Pau, Unit Genom Complex Dis, Barcelona 08041, Spain..
    Naderi, Elnaz
    Univ Groningen, Univ Med Ctr Groningen, Dept Epidemiol, NL-9700 RB Groningen, Netherlands..
    Seppala, Ilkka
    Tampere Univ, Fac Med & Hlth Technol, Fimlab Labs, Dept Clin Chem, Tampere 33520, Finland.;Tampere Univ, Fac Med & Hlth Technol, Finnish Cardiovasc Res Ctr Tampere, Tampere 33520, Finland..
    Shah, Tina
    UCL, Inst Cardiovasc Sci, London WC1E 6BT, England..
    Singhal, Gaurav
    Univ Adelaide, Adelaide Med Sch, Discipline Psychiat, Adelaide, SA 5005, Australia..
    Standl, Marie
    Helmholtz Zentrum Munchen, Inst Epidemiol, German Res Ctr Environm Hlth, D-85764 Neuherberg, Germany..
    Teumer, Alexander
    Univ Med Greifswald, Inst Community Med, D-17475 Greifswald, Germany..
    Thalamuthu, Anbupalam
    Univ New South Wales, Ctr Hlth Brain Ageing, Sch Psychiat, Sydney, NSW 2052, Australia..
    Thiering, Elisabeth
    Helmholtz Zentrum Munchen, Inst Epidemiol, German Res Ctr Environm Hlth, D-85764 Neuherberg, Germany.;Ludwig Maximilians Univ Munchen, Dr von Hauner Childrens Hosp, Div Metab Dis & Nutr Med, D-80337 Munich, Germany..
    Trompet, Stella
    Leiden Univ Med Ctr, Dept Cardiol, NL-2300 RC Leiden, Netherlands.;Leiden Univ Med Ctr, Dept Internal Med, Sect Gerontol & Geriatr, NL-2333 ZA Leiden, Netherlands..
    Ballantyne, Christie M.
    Baylor Coll Med, Houston, TX 77030 USA..
    Benjamin, Emelia J.
    Natl Heart Lung & Blood Inst, Framingham, MA 01702 USA.;Boston Univ, Framingham Heart Study, Framingham, MA 01702 USA.;Boston Univ, Dept Med, Sect Cardiovasc Med & Prevent Med, Sch Med, Boston, MA 02118 USA..
    Casas, Juan P.
    VA Boston Healthcare Syst, Massachusetts Vet Epidemiol Res & Informat Ctr MA, Boston, MA 02130 USA..
    Toben, Catherine
    Univ Adelaide, Adelaide Med Sch, Discipline Psychiat, Adelaide, SA 5005, Australia..
    Dedoussis, George
    Harokopio Univ, Dept Nutr Dietet, Athens 17671, Greece..
    Deelen, Joris
    Leiden Univ Med Ctr, Dept Biomed Data Sci, Sect Mol Epidemiol, NL-2300 RC Leiden, Netherlands.;Max Planck Inst Biol Ageing, D-50931 Cologne, Germany..
    Durda, Peter
    Univ Vermont, Larner Coll Med, Dept Pathol & Lab Med, Burlington, VT 05405 USA..
    Engmann, Jorgen
    UCL, Inst Cardiovasc Sci, London WC1E 6BT, England..
    Feitosa, Mary F.
    Washington Univ, Dept Genet, Div Stat Genom, Sch Med, St Louis, MO 63110 USA..
    Grallert, Harald
    Helmholtz Zentrum Munchen, Inst Epidemiol, German Res Ctr Environm Hlth, D-85764 Neuherberg, Germany.;German Ctr Diabet Res DZD, D-85764 Neuherberg, Germany..
    Hammarstedt, Ann
    Univ Gothenburg, Dept Mol & Clin Med, Lundberg Lab Diabet Res, Sahlgrenska Acad, SE-41345 Gothenburg, Sweden..
    Harris, Sarah E.
    Univ Edinburgh, Ctr Cognit Ageing & Cognit Epidemiol, Edinburgh EH8 9JZ, Midlothian, Scotland.;Univ Edinburgh, Dept Psychol, Edinburgh EH8 9JZ, Midlothian, Scotland..
    Homuth, Georg
    Univ Med Greifswald, Interfac Inst Genet & Funct Genom, D-17475 Greifswald, Germany..
    Hottenga, Jouke-Jan
    Vrije Univ Amsterdam, Dept Biol Psychol Behav & Movement Sci, NL-1081 BT Amsterdam, Netherlands.;Amsterdam Univ Med Ctr, Amsterdam Publ Hlth Res Inst, NL-1105 AZ Amsterdam, Netherlands..
    Jalkanen, Sirpa
    Univ Turku, MediCity Res Lab, Turku 20520, Finland.;Univ Turku, Dept Med Microbiol & Immunol, Turku 20520, Finland..
    Jamshidi, Yalda
    St Georges Univ London, Mol & Clin Sci Inst, Genet Res Ctr, London SW17 0RE, England..
    Jawahar, Magdalene C.
    Univ Adelaide, Adelaide Med Sch, Discipline Psychiat, Adelaide, SA 5005, Australia..
    Jess, Tine
    Statens Serum Inst, Dept Epidemiol Res, DK-2300 Copenhagen, Denmark..
    Kivimaki, Mika
    UCL, UCL Inst Epidemiol & Hlth Care, Dept Epidemiol & Publ Hlth, London WC1E 7HB, England..
    Kleber, Marcus E.
    Heidelberg Univ, Med Fac Mannheim, Dept Med Nephrol Hypertensiol Rheumatol Endocrino, D-68167 Mannheim, Germany..
    Lahti, Jari
    Univ Turku, Turku Inst Adv Studies, Turku 20014, Finland.;Univ Helsinki, Dept Psychol & Logoped, Helsinki 00014, Finland..
    Liu, Yongmei
    Wake Forest Sch Med, Dept Epidemiol & Prevent, Winston Salem, NC 27157 USA..
    Marques-Vidal, Pedro
    Lausanne Univ Hosp CHUV, Dept Internal Med, CH-1011 Lausanne, Switzerland.;Univ Lausanne, CH-1011 Lausanne, Switzerland..
    Mellstrom, Dan
    Univ Gothenburg, Sahlgrenska Acad, Ctr Bone & Arthrit Res CBAR, Dept Internal Med & Clin Nutr, S-41345 Gothenburg, Sweden..
    Mooijaart, Simon P.
    Leiden Univ Med Ctr, Dept Internal Med, Sect Gerontol & Geriatr, NL-2333 ZA Leiden, Netherlands..
    Muller-Nurasyid, Martina
    Ludwig Maximilians Univ LMU Munich, Fac Med, IBE, D-81377 Munich, Germany.;Johhanes Gutenberg Univ, Univ Med Ctr, Inst Med Biostat Epidemiol & Informat IMBEI, D-55101 Mainz, Germany..
    Penninx, Brenda
    Vrije Univ, Dept Psychiat, Amsterdam UMC, NL-1081 HJ Amsterdam, Netherlands..
    Revez, Joana A.
    QIMR Berghofer Med Res Inst, Brisbane, Qld 4006, Australia..
    Rossing, Peter
    Steno Diabet Ctr Copenhagen, DK-2820 Gentofte, Denmark.;Univ Copenhagen, Dept Clin Med, DK-2200 Copenhagen, Denmark..
    Raikkonen, Katri
    Univ Helsinki, Dept Psychol & Logoped, Helsinki 00014, Finland..
    Sattar, Naveed
    BHF Glasgow Cardiovasc Res Ctr, Fac Med, Glasgow G12 8TA, Lanark, Scotland..
    Scharnagl, Hubert
    Med Univ Graz, Clin Inst Med & Chem Lab Diagnost, A-8036 Graz, Austria..
    Sennblad, Bengt
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular Evolution. Uppsala University, Science for Life Laboratory, SciLifeLab. Karolinska Inst, Ctr Mol Med, Dept Med Solna, Cardiovasc Med, S-17176 Stockholm, Sweden.
    Silveira, Angela
    Karolinska Inst, Ctr Mol Med, Dept Med Solna, Cardiovasc Med, S-17176 Stockholm, Sweden..
    St Pourcain, Beate
    Univ Bristol, MRC Integrat Epidemiol Unit, Bristol BS8 2BN, Avon, England.;Max Planck Inst Psycholinguist, NL-6525 XD Nijmegen, Netherlands.;Radboud Univ Nijmegen, Donders Inst Brain Cognit & Behav, NL-6525 AJ Nijmegen, Netherlands..
    Timpson, Nicholas J.
    Univ Bristol, MRC Integrat Epidemiol Unit, Bristol BS8 2BN, Avon, England..
    Trollor, Julian
    Univ New South Wales, Ctr Hlth Brain Ageing, Sch Psychiat, Sydney, NSW 2052, Australia.;Univ New South Wales, Sch Psychiat, Dept Dev Disabil Neuropsychiat, Sydney, NSW 2031, Australia..
    van Dongen, Jenny
    Vrije Univ Amsterdam, Dept Biol Psychol Behav & Movement Sci, NL-1081 BT Amsterdam, Netherlands.;Amsterdam Univ Med Ctr, Amsterdam Publ Hlth Res Inst, NL-1105 AZ Amsterdam, Netherlands..
    Van Heemst, Diana
    Baylor Coll Med, Houston, TX 77030 USA..
    Visvikis-Siest, Sophie
    Univ Lorraine, IGE PCV, INSERM, F-54000 Nancy, France..
    Vollenweider, Peter
    Lausanne Univ Hosp CHUV, Dept Internal Med, CH-1011 Lausanne, Switzerland.;Univ Lausanne, CH-1011 Lausanne, Switzerland..
    Volker, Uwe
    Univ Turku, MediCity Res Lab, Turku 20520, Finland..
    Waldenberger, Melanie
    Helmholtz Zentrum Munchen, Inst Epidemiol, German Res Ctr Environm Hlth, D-85764 Neuherberg, Germany..
    Willemsen, Gonneke
    Vrije Univ Amsterdam, Dept Biol Psychol Behav & Movement Sci, NL-1081 BT Amsterdam, Netherlands.;Amsterdam Univ Med Ctr, Amsterdam Publ Hlth Res Inst, NL-1105 AZ Amsterdam, Netherlands..
    Zabaneh, Delilah
    UCL, Dept Genet, Genet Inst, London WC1E 6BT, England..
    Morris, Richard W.
    Univ Bristol, Bristol Med Sch, Dept Populat Hlth Sci, Bristol BS8 1UD, Avon, England..
    Arnett, Donna K.
    Univ Kentucky, Coll Publ Hlth, Deans Off, Lexington, KY 40536 USA..
    Baune, Bernhard T.
    Univ Melbourne, Melbourne Med Sch, Dept Psychiat, Parkville, Vic 3000, Australia.;Univ Munster, Dept Psychiat & Psychotherapy, D-48149 Munster, Germany.;Univ Melbourne, Florey Inst Neurosci & Mental Hlth, Parkville, Vic 3000, Australia..
    Boomsma, Dorret, I
    Vrije Univ Amsterdam, Dept Biol Psychol Behav & Movement Sci, NL-1081 BT Amsterdam, Netherlands.;Amsterdam Univ Med Ctr, Amsterdam Publ Hlth Res Inst, NL-1105 AZ Amsterdam, Netherlands..
    Chang, Yen-Pei C.
    Univ Maryland, Dept Med, Sch Med, Baltimore, MD 21202 USA..
    Deary, Ian J.
    Univ Edinburgh, Ctr Cognit Ageing & Cognit Epidemiol, Edinburgh EH8 9JZ, Midlothian, Scotland.;Univ Edinburgh, Dept Psychol, Edinburgh EH8 9JZ, Midlothian, Scotland..
    Deloukas, Panos
    Queen Mary Univ London, Barts & London Med Sch, William Harvey Res Inst, London EC1M 6BQ, England.;Queen Mary Univ London, Ctr Genom Hlth, London EC1M 6BQ, England..
    Eriksson, Johan G.
    Univ Helsinki, Natl Inst Hlth & Welf, Helsinki 00014, Finland.;Univ Helsinki, Dept Gen Practice & Primary Hlth Care, Helsinki 00014, Finland..
    Evans, David M.
    Univ Queensland, Univ Queensland Diamantina Inst, Woolloongabba, Qld 4102, Australia.;Univ Bristol, MRC Integrat Epidemiol Unit, Bristol BS8 2BN, Avon, England..
    Ferreira, Manuel A.
    QIMR Berghofer Med Res Inst, Brisbane, Qld 4006, Australia..
    Gaunt, Tom
    Univ Bristol, MRC Integrat Epidemiol Unit, Bristol BS6 2BN, Avon, England.;Univ Bristol, Bristol Med Sch, Populat Hlth Sci, Bristol BS8 2BN, Avon, England..
    Gudnason, Vilmundur
    Iceland Heart Assoc, IS-201 Kopavogur, Iceland.;Univ Iceland, Fac Med, IS-101 Reykjavik, Iceland..
    Hamsten, Anders
    Karolinska Inst, Ctr Mol Med, Dept Med Solna, Cardiovasc Med, S-17176 Stockholm, Sweden..
    Heinrich, Joachim
    Helmholtz Zentrum Munchen, Inst Epidemiol, German Res Ctr Environm Hlth, D-85764 Neuherberg, Germany.;Ludwig Maximilians Univ Munchen, Inst & Clin Occupat Social & Environm Med, Univ Hosp, D-81377 Munich, Germany.;Univ Melbourne, Melbourne Sch Populat & Global Hlth, Allergy & Lung Hlth Unit, Melbourne, Vic 3010, Australia..
    Hingorani, Aroon
    UCL, Inst Cardiovasc Sci, London WC1E 6BT, England..
    Humphries, Steve E.
    UCL, Inst Cardiovasc Sci, London WC1E 6BT, England..
    Jukema, J. Wouter
    Leiden Univ Med Ctr, Dept Internal Med, Sect Gerontol & Geriatr, NL-2333 ZA Leiden, Netherlands.;Durrer Ctr Cardiogenet Res, NL-1105 AZ Amsterdam, Netherlands..
    Koenig, Wolfgang
    Tech Univ Munich, Deutsch Herzzentrum Munchen, D-80636 Munich, Germany.;DZHK German Ctr Cardiovasc Res, Partner Site Munich Heart Alliance, D-80336 Munich, Germany.;Univ Ulm, Inst Epidemiol & Med Biometry, D-89081 Ulm, Germany..
    Kumari, Meena
    UCL, UCL Inst Epidemiol & Hlth Care, Dept Epidemiol & Publ Hlth, London WC1E 7HB, England.;Univ Essex, Inst Social & Econ Res, Colchester CO4 3SQ, Essex, England..
    Kutalik, Zoltan
    SIB Swiss Inst Bioinformat, CH-1015 Lausanne, Switzerland.;Univ Lausanne, Univ Ctr Primary Care & Publ Hlth, CH-1010 Lausanne, Switzerland..
    Lawlor, Deborah A.
    Univ Bristol, MRC Integrat Epidemiol Unit, Bristol BS6 2BN, Avon, England.;Univ Bristol, Bristol Med Sch, Populat Hlth Sci, Bristol BS8 2BN, Avon, England..
    Lehtimaki, Terho
    Tampere Univ, Fac Med & Hlth Technol, Fimlab Labs, Dept Clin Chem, Tampere 33520, Finland.;Tampere Univ, Fac Med & Hlth Technol, Finnish Cardiovasc Res Ctr Tampere, Tampere 33520, Finland..
    Marz, Winfried
    Heidelberg Univ, Med Fac Mannheim, Dept Med Nephrol Hypertensiol Rheumatol Endocrino, D-68167 Mannheim, Germany.;Med Univ Graz, Clin Inst Med & Chem Lab Diagnost, A-8036 Graz, Austria.;SYNALB Holding Deutschland GmbH, SYNLAB Acad, D-68163 Mannheim, Germany..
    Mather, Karen A.
    Univ New South Wales, Ctr Hlth Brain Ageing, Sch Psychiat, Sydney, NSW 2052, Australia.;Neurosci Res Australia, Sydney, NSW 2031, Australia..
    Naitza, Silvia
    CNR, Ist Ric Genet & Biomed, I-09042 Monserrato, CA, Italy..
    Nauck, Matthias
    Univ Med Greifswald, Inst Clin Chem & Lab Med, D-17475 Greifswald, Germany.;DZHK German Ctr Cardiovasc Res, Partner Site Greifswald, D-17475 Greifswald, Germany..
    Ohlsson, Claes
    Univ Gothenburg, Sahlgrenska Acad, Ctr Bone & Arthrit Res CBAR, Dept Internal Med & Clin Nutr, S-41345 Gothenburg, Sweden..
    Price, Jackie F.
    Univ Edinburgh, Usher Inst, Edinburgh EH8 9AG, Midlothian, Scotland..
    Raitakari, Olli
    Univ Turku, Turku Univ Hosp, Ctr Populat Hlth Res, Turku 20520, Finland.;Univ Turku, Res Ctr Appl & Prevent Cardiovasc Med, Turku 20520, Finland.;Turku Univ Hosp, Dept Clin Physiol & Nucl Med, Turku 20014, Finland..
    Rice, Ken
    Univ Washington, Dept Biostat, Seattle, WA 98195 USA..
    Sachdev, Perminder S.
    Univ New South Wales, Ctr Hlth Brain Ageing, Sch Psychiat, Sydney, NSW 2052, Australia.;Prince Wales Hosp, Neuropsychiat Inst, Sydney, NSW 2031, Australia..
    Slagboom, Eline
    Leiden Univ Med Ctr, Dept Biomed Data Sci, Sect Mol Epidemiol, NL-2300 RC Leiden, Netherlands.;Max Planck Inst Biol Ageing, D-50931 Cologne, Germany..
    Sorensen, Thorkild I. A.
    Univ Copenhagen, Novo Nordisk Fdn Ctr Basic Metab Res, Fac Hlth & Med Sci, Sect Metab Genet, DK-2200 Copenhagen, Denmark.;Univ Copenhagen, Dept Publ Hlth, Sect Epidemiol, DK-1014 Copenhagen, Denmark..
    Spector, Tim
    Kings Coll London, Dept Twin Res & Genet Epidemiol, London SE1 7EH, England..
    Stacey, David
    Univ Cambridge, Dept Publ Hlth & Primary Care, MRC BHF Cardiovasc Epidemiol Unit, Cambridge CB1 8RN, England..
    Stathopoulou, Maria G.
    Univ Lorraine, IGE PCV, INSERM, F-54000 Nancy, France..
    Tanaka, Toshiko
    NIA, Translat Gerontol Branch, Longitudinal Study Sect, Baltimore, MD 21224 USA..
    Wannamethee, S. Goya
    UCL, UCL Inst Epidemiol & Hlth Care, Dept Primary Care & Populat Hlth, London NW3 2PF, England..
    Whincup, Peter
    St Georges Univ London, Populat Hlth Res Inst, London SW17 0RE, England..
    Rotter, Jerome, I
    Harbor UCLA Med Ctr, Inst Translat Genom & Populat Sci, Dept Pediat, Lundquist Inst, Torrance, CA 90502 USA..
    Dehghan, Abbas
    Erasmus MC, Dept Epidemiol, NL-3000 CA Rotterdam, Netherlands..
    Boerwinkle, Eric
    Univ Texas Hlth Sci Ctr Houston, Human Genet Ctr, Sch Publ Hlth, Houston, TX 77030 USA.;Baylor Coll Med, Human Genome Sequencing Ctr, Houston, TX 77030 USA..
    Psaty, Bruce M.
    Univ Washington, Dept Med, Cardiovasc Hlth Res Unit, Seattle, WA 98101 USA.;Univ Washington, Dept Epidemiol, Seattle, WA 98101 USA.;Univ Washington, Dept Hlth Serv, Seattle, WA 98101 USA..
    Snieder, Harold
    Univ Groningen, Univ Med Ctr Groningen, Dept Epidemiol, NL-9700 RB Groningen, Netherlands..
    Alizadeh, Behrooz Z.
    Univ Groningen, Univ Med Ctr Groningen, Dept Epidemiol, NL-9700 RB Groningen, Netherlands..
    Genome-wide association study of circulating interleukin 6 levels identifies novel loci2021In: Human Molecular Genetics, ISSN 0964-6906, E-ISSN 1460-2083, Vol. 30, no 5, p. 393-409Article in journal (Refereed)
    Abstract [en]

    Interleukin 6 (IL-6) is a multifunctional cytokine with both pro- and anti-inflammatory properties with a heritability estimate of up to 61%. The circulating levels of IL-6 in blood have been associated with an increased risk of complex disease pathogenesis. We conducted a two-staged, discovery and replication meta genome-wide association study (GWAS) of circulating serum IL-6 levels comprising up to 67428 (n(discovery)=52654 and n(replication)=14774) individuals of European ancestry. The inverse variance fixed effects based discovery meta-analysis, followed by replication led to the identification of two independent loci, IL1F10/IL1RN rs6734238 on chromosome (Chr) 2q14, (P-combined=1.8x10(-11)), HLA-DRB1/DRB5 rs660895 on Chr6p21 (P-combined=1.5x10(-10)) in the combined meta-analyses of all samples. We also replicated the IL6R rs4537545 locus on Chr1q21 (P-combined=1.2x10(-122)). Our study identifies novel loci for circulating IL-6 levels uncovering new immunological and inflammatory pathways that may influence IL-6 pathobiology.

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    fulltext
  • 21.
    Ahmed, Engy
    et al.
    Stockholm Univ, Dept Geol Sci, SE-10691 Stockholm, Sweden.;Stockholm Univ, Bolin Ctr Climate Res, SE-10691 Stockholm, Sweden.;Sci Life Lab, Tomtebodavagen 23A, SE-17165 Solna, Sweden..
    Parducci, Laura
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Plant Ecology and Evolution.
    Unneberg, Per
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular Evolution.
    Ågren, Rasmus
    Chalmers Univ Technol, Dept Chem & Biol Engn, Sci Life Lab, SE-41296 Gothenburg, Sweden..
    Schenk, Frederik
    Stockholm Univ, Dept Geol Sci, SE-10691 Stockholm, Sweden.;Stockholm Univ, Bolin Ctr Climate Res, SE-10691 Stockholm, Sweden..
    Rattray, Jayne E.
    Stockholm Univ, Dept Geol Sci, SE-10691 Stockholm, Sweden.;Stockholm Univ, Bolin Ctr Climate Res, SE-10691 Stockholm, Sweden.;Univ Calgary, Biol Sci, 2500 Univ Dr NW, Calgary, AB, Canada..
    Han, Lu
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics. Jilin Univ, Coll Life Sci, Ancient DNA Lab, Changchun, Jilin, Peoples R China..
    Muschitiello, Francesco
    Stockholm Univ, Dept Geol Sci, SE-10691 Stockholm, Sweden.;Stockholm Univ, Bolin Ctr Climate Res, SE-10691 Stockholm, Sweden.;Columbia Univ, Lamont Doherty Earth Observ, 61 Route 9NW, Palisades, NY USA..
    Pedersen, Mikkel W.
    Univ Cambridge, Dept Zool, Downing St, Cambridge CB2 3EJ, England..
    Smittenberg, Rienk H.
    Stockholm Univ, Dept Geol Sci, SE-10691 Stockholm, Sweden.;Stockholm Univ, Bolin Ctr Climate Res, SE-10691 Stockholm, Sweden..
    Yamoah, Kweku Afrifa
    Stockholm Univ, Dept Geol Sci, SE-10691 Stockholm, Sweden.;Stockholm Univ, Bolin Ctr Climate Res, SE-10691 Stockholm, Sweden..
    Slotte, Tanja
    Stockholm Univ, Dept Ecol Environm & Plant Sci, SE-10691 Stockholm, Sweden.;Sci Life Lab, Tomtebodavagen 23A, SE-17165 Solna, Sweden..
    Wohlfarth, Barbara
    Stockholm Univ, Dept Geol Sci, SE-10691 Stockholm, Sweden.;Stockholm Univ, Bolin Ctr Climate Res, SE-10691 Stockholm, Sweden..
    Archaeal community changes in Lateglacial lake sediments: Evidence from ancient DNA2018In: Quaternary Science Reviews, ISSN 0277-3791, E-ISSN 1873-457X, Vol. 181, p. 19-29Article in journal (Refereed)
    Abstract [en]

    The Lateglacial/early Holocene sediments from the ancient lake at Hasseldala Port, southern Sweden provide an important archive for the environmental and climatic shifts at the end of the last ice age and the transition into the present Interglacial. The existing multi-proxy data set highlights the complex interplay of physical and ecological changes in response to climatic shifts and lake status changes. Yet, it remains unclear how microorganisms, such as Archaea, which do not leave microscopic features in the sedimentary record, were affected by these climatic shifts. Here we present the metagenomic data set of Hasseldala Port with a special focus on the abundance and biodiversity of Archaea. This allows reconstructing for the first time the temporal succession of major Archaea groups between 13.9 and 10.8 ka BP by using ancient environmental DNA metagenomics and fossil archaeal cell membrane lipids. We then evaluate to which extent these findings reflect physical changes of the lake system, due to changes in lake-water summer temperature and seasonal lake-ice cover. We show that variations in archaeal composition and diversity were related to a variety of factors (e.g., changes in lake water temperature, duration of lake ice cover, rapid sediment infilling), which influenced bottom water conditions and the sediment-water interface. Methanogenic Archaea dominated during the Allerod and Younger Dryas pollen zones, when the ancient lake was likely stratified and anoxic for large parts of the year. The increase in archaeal diversity at the Younger Dryas/Holocene transition is explained by sediment infilling and formation of a mire/peatbog. (C) 2017 Elsevier Ltd. All rights reserved.

  • 22.
    Ahmed, Laeeq
    et al.
    Royal Inst Technol KTH, Dept Elect Engn & Computat Sci, Lindstedtsvagen 5, S-10044 Stockholm, Sweden..
    Alogheli, Hiba
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Pharmaceutical Biosciences.
    Arvidsson Mc Shane, Staffan
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Pharmaceutical Biosciences.
    Alvarsson, Jonathan
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Pharmaceutical Biosciences.
    Berg, Arvid
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Pharmaceutical Biosciences.
    Larsson, Anders
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Pharmaceutical Biosciences. Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology.
    Schaal, Wesley
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Pharmaceutical Biosciences.
    Laure, Erwin
    Royal Inst Technol KTH, Dept Elect Engn & Computat Sci, Lindstedtsvagen 5, S-10044 Stockholm, Sweden..
    Spjuth, Ola
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Pharmaceutical Biosciences.
    Predicting target profiles with confidence as a service using docking scores2020In: Journal of Cheminformatics, E-ISSN 1758-2946, Vol. 12, article id 62Article in journal (Refereed)
    Abstract [en]

    Background: Identifying and assessing ligand-target binding is a core component in early drug discovery as one or more unwanted interactions may be associated with safety issues.

    Contributions: We present an open-source, extendable web service for predicting target profiles with confidence using machine learning for a panel of 7 targets, where models are trained on molecular docking scores from a large virtual library. The method uses conformal prediction to produce valid measures of prediction efficiency for a particular confidence level. The service also offers the possibility to dock chemical structures to the panel of targets with QuickVina on individual compound basis.

    Results: The docking procedure and resulting models were validated by docking well-known inhibitors for each of the 7 targets using QuickVina. The model predictions showed comparable performance to molecular docking scores against an external validation set. The implementation as publicly available microservices on Kubernetes ensures resilience, scalability, and extensibility.

    Download full text (pdf)
    FULLTEXT01
  • 23.
    Akdeniz, Zeynep
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology.
    Sequencing and comparative analyses of diplomonad genomes: Beyond the Gut: The Lake of Forgotten Dreams2024Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    This thesis presents a comprehensive analysis of diplomonad genomes, focusing on both parasitic and free-living species, to explore the evolutionary adaptations within this group of anaerobic, flagellated eukaryotes. I first generated and analyzed the reference genome of Hexamita inflata, the first free-living diplomonad to be sequenced. The genome of H. inflata is significantly larger than those of parasitic diplomonads, with 142 Mbp encoding 79,341 proteins. The expansion of protein-encoding capacity and a high proportion of interspersed repeats contribute to the large genome size, providing a foundation for future studies on the evolution of parasitism and free-living lifestyles in diplomonads.

    In a subsequent study, I improved the genome assembly of Spironucleus salmonicida, a diplomonad responsible for systemic infections in salmon, using PacBio long-read sequencing and optical mapping. The new assembly consolidates the genome into nine near-complete chromosomes, providing a more comprehensive view of the gene families, gene organization, and chromosomal structure. This high-quality reference genome will facilitate comparative genomic studies at the chromosomal level and serve as a valuable resource for researchers studying diplomonads and other protists.

    Further, I generated the draft genome of the commensal diplomonad Spironucleus barkhanus, revealing a genome size (26.9 Mbp) larger than the morphologically similar S. salmonicida due to extensive duplications, expansions in protein-coding capacity, and a higher content of interspersed repeats. Comparative analysis between these two diplomonads highlighted key genomic differences, which are likely related to their distinct lifestyles. The S. barkhanus genome will contribute to understanding the pathogenicity of S. salmonicida and aid in the development of diagnostic tools to differentiate between these species in salmonid fish.

    Finally, I performed a comparative genomic analysis using the GenoDiplo and CompareDiplo bioinformatics pipelines across various diplomonads with different lifestyles, revealing significant expansions in seven key protein superfamilies. The data suggest that environmental factors drive the evolution of these protein and multi-gene families, resulting in organisms that are well-adapted to their specific habitats. This work enhances our understanding of the diversity and evolutionary history of eukaryotes, particularly the adaptations to anaerobic lifestyles and the evolution of key eukaryotic cellular mechanisms.

    List of papers
    1. A chromosome-scale reference genome for Spironucleus salmonicida
    Open this publication in new window or tab >>A chromosome-scale reference genome for Spironucleus salmonicida
    Show others...
    2022 (English)In: Scientific Data, E-ISSN 2052-4463, Vol. 9, article id 585Article in journal (Refereed) Published
    Abstract [en]

    Spironucleus salmonicida is a diplomonad causing systemic infection in salmon. The first S. salmonicida genome assembly was published 2014 and has been a valuable reference genome in protist research. However, the genome assembly is fragmented without assignment of the sequences to chromosomes. In our previous Giardia genome study, we have shown how a fragmented genome assembly can be improved with long-read sequencing technology complemented with optical maps. Combining Pacbio long-read sequencing technology and optical maps, we are presenting here this new S. salmonicida genome assembly in nine near-complete chromosomes with only three internal gaps at long repeats. This new genome assembly is not only more complete sequence-wise but also more complete at annotation level, providing more details into gene families, gene organizations and chromosomal structure. This near-complete reference genome will aid comparative genomics at chromosomal level, and serve as a valuable resource for the diplomonad community and protist research.

    Place, publisher, year, edition, pages
    Springer Nature, 2022
    National Category
    Genetics
    Identifiers
    urn:nbn:se:uu:diva-486392 (URN)10.1038/s41597-022-01703-w (DOI)000859844700001 ()36153341 (PubMedID)
    Funder
    Uppsala University
    Available from: 2022-10-10 Created: 2022-10-10 Last updated: 2024-08-31Bibliographically approved
    2. The expanded genome of Hexamita inflata, a free-living diplomonad
    Open this publication in new window or tab >>The expanded genome of Hexamita inflata, a free-living diplomonad
    Show others...
    (English)Manuscript (preprint) (Other academic)
    Abstract [en]

    Diplomonads are anaerobic, flagellated protists, being part of the Metamonada group of Eukaryotes. Diplomonads either live as endobionts (parasites and commensals) of animals or free-living in low-oxygen environments. Genomic information is available for parasitic diplomonads like Giardia intestinalis and Spironucleus salmonicida, while little is known about the genomic arrangements of free-living diplomonads. We have generated the first reference genome of a free-living diplomonad, Hexamita inflata. The final version of the genome assembly is fragmented (1241 contigs) but substantially larger (142 Mbp) than the parasitic diplomonad genomes (9.8-14.7 Mbp). It encodes 79,341 proteins;29,874 have functional annotations and 49,467 are hypothetical proteins. Interspersed repeats comprise 34% of the genome (9617 Retroelements, 2676 DNA transposons). The large expansion of protein-encoding capacity and the interspersed repeats are the major reasons for the large genome size. This genome from a free-living diplomonad will be the basis for further studies of the Diplomonadida lineage and the evolution of parasitism-free living style transitions.

    National Category
    Evolutionary Biology
    Identifiers
    urn:nbn:se:uu:diva-537394 (URN)
    Available from: 2024-08-31 Created: 2024-08-31 Last updated: 2024-08-31
    3. A pipeline for fast assembly, annotation and analyses of genomes from eukaryotic microbes: genome analyses of the diplomonad Spironucleus barkhanus
    Open this publication in new window or tab >>A pipeline for fast assembly, annotation and analyses of genomes from eukaryotic microbes: genome analyses of the diplomonad Spironucleus barkhanus
    (English)Manuscript (preprint) (Other academic)
    National Category
    Evolutionary Biology
    Identifiers
    urn:nbn:se:uu:diva-537395 (URN)
    Available from: 2024-08-31 Created: 2024-08-31 Last updated: 2024-08-31
    4. Analyses of multi-gene families in Hexamita inflata and other diplomonads using comparative genomics reveal life-style dependent adaptions
    Open this publication in new window or tab >>Analyses of multi-gene families in Hexamita inflata and other diplomonads using comparative genomics reveal life-style dependent adaptions
    (English)Manuscript (preprint) (Other academic)
    Abstract [en]

     Biological complexity and adaptations in eukaryotes has been correlated to protein family expansions. Here we have studied protein and multi-gene family evolution in the genomes of diplomonads with different life-styles. Diplomonads are highly derived, eukaryotic flagellates living either as commensals or parasites of humans and animals (eg. Giardia intestinalis and Spironucleus salmonicida) or as free-living microbes in low oxygen environments like aquatic sediments (eg. Hexamita inflata). A comparative genomic approach was used with genomic data from four host-associated diplomonads, two free-living diplomonads, combined with genomic data from two free-living metamonads that were used as outgroup. We first identified the major protein superfamilies in the diplomonads and focused on the seven major protein superfamilies in H. inflata (Leucine-rich-repeat, Homeobox, Cysteine proteinase, Protein kinase, Cysteine-rich proteins, WD40 and Ankyrin repeat superfamilies). These protein superfamilies are expanded in all the diplomonads but our data suggest that different environments affect the evolution of the protein and multi-gene families, resulting in organisms adapted to cope with the conditions in the specific environments. It also shows that further genomic studies of single-celled, flagellated protists within the group Diplomonadida, which is part of the larger supergroup Excavata, can help in understanding of the diversity and evolutionary history of eukaryotes.

    National Category
    Evolutionary Biology
    Identifiers
    urn:nbn:se:uu:diva-537393 (URN)
    Available from: 2024-08-31 Created: 2024-08-31 Last updated: 2024-08-31
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  • 24.
    Akdeniz, Zeynep
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology.
    Havelka, Michal
    Department of Parasitology, Charles University, Biotechnology and Biomedicine Centre in Vestec (BIOCEV), Czech Republic.
    Stoklasa, Michal
    Department of Parasitology, Charles University, Biotechnology and Biomedicine Centre in Vestec (BIOCEV), Czech Republic.
    Jiménez-González, Alejandro
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology.
    Žárský, Vojtěch
    Department of Parasitology, Charles University, Biotechnology and Biomedicine Centre in Vestec (BIOCEV), Czech Republic.
    Xu, Feifei
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology.
    W. Stairs, Courtney
    Department of Biology, Lund University, Lund, Sweden.
    Jerlström-Hultqvist, Jon
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology.
    Kolísko, Martin
    Institute of Parasitology, Biology Centre, Czech Academy of Sciences, České Budějovice, Czech Republic.
    Provazník, Jan
    European Molecular Biology Laboratory (EMBL), Genomics Core Facility, Heidelberg, Germany.
    Svärd, Staffan
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology.
    O. Andersson, Jan
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology.
    Tachezy, Jan
    Department of Parasitology, Charles University, Biotechnology and Biomedicine Centre in Vestec (BIOCEV), Czech Republic.
    The expanded genome of Hexamita inflata, a free-living diplomonadManuscript (preprint) (Other academic)
    Abstract [en]

    Diplomonads are anaerobic, flagellated protists, being part of the Metamonada group of Eukaryotes. Diplomonads either live as endobionts (parasites and commensals) of animals or free-living in low-oxygen environments. Genomic information is available for parasitic diplomonads like Giardia intestinalis and Spironucleus salmonicida, while little is known about the genomic arrangements of free-living diplomonads. We have generated the first reference genome of a free-living diplomonad, Hexamita inflata. The final version of the genome assembly is fragmented (1241 contigs) but substantially larger (142 Mbp) than the parasitic diplomonad genomes (9.8-14.7 Mbp). It encodes 79,341 proteins;29,874 have functional annotations and 49,467 are hypothetical proteins. Interspersed repeats comprise 34% of the genome (9617 Retroelements, 2676 DNA transposons). The large expansion of protein-encoding capacity and the interspersed repeats are the major reasons for the large genome size. This genome from a free-living diplomonad will be the basis for further studies of the Diplomonadida lineage and the evolution of parasitism-free living style transitions.

  • 25.
    Akdeniz, Zeynep
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology.
    Jerlström-Hultqvist, Jon
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology.
    Svärd, Staffan
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology.
    Analyses of multi-gene families in Hexamita inflata and other diplomonads using comparative genomics reveal life-style dependent adaptionsManuscript (preprint) (Other academic)
    Abstract [en]

     Biological complexity and adaptations in eukaryotes has been correlated to protein family expansions. Here we have studied protein and multi-gene family evolution in the genomes of diplomonads with different life-styles. Diplomonads are highly derived, eukaryotic flagellates living either as commensals or parasites of humans and animals (eg. Giardia intestinalis and Spironucleus salmonicida) or as free-living microbes in low oxygen environments like aquatic sediments (eg. Hexamita inflata). A comparative genomic approach was used with genomic data from four host-associated diplomonads, two free-living diplomonads, combined with genomic data from two free-living metamonads that were used as outgroup. We first identified the major protein superfamilies in the diplomonads and focused on the seven major protein superfamilies in H. inflata (Leucine-rich-repeat, Homeobox, Cysteine proteinase, Protein kinase, Cysteine-rich proteins, WD40 and Ankyrin repeat superfamilies). These protein superfamilies are expanded in all the diplomonads but our data suggest that different environments affect the evolution of the protein and multi-gene families, resulting in organisms adapted to cope with the conditions in the specific environments. It also shows that further genomic studies of single-celled, flagellated protists within the group Diplomonadida, which is part of the larger supergroup Excavata, can help in understanding of the diversity and evolutionary history of eukaryotes.

  • 26.
    Akdeniz, Zeynep
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology.
    Svärd, Staffan
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology.
    A pipeline for fast assembly, annotation and analyses of genomes from eukaryotic microbes: genome analyses of the diplomonad Spironucleus barkhanusManuscript (preprint) (Other academic)
    Abstract [en]

     Diplomonads is a group of microbial, flagellated and amitochondriate Eukaryotes that either live as parasites or commensals of animals or free-living in low-oxygen environments. Genomic information is available from parasitic diplomonads like Giardia intestinalis and Spironucleus salmonicida, while little is known about the genomic arrangements of commensal and free-living diplomonads. We have generated the first draft genome of a commensal diplomonad, Spironucleus barkhanus. The final version of the genome assembly is fragmented (855 contigs) but substantially larger (26.9 Mbp) than the morphologically identical salmon parasite S. salmonicida (14.7 Mbp). The S. barkhanus genome encodes 20,301 proteins and many single copy genes in S. salmonicida are found in multiple copies in the S. barkhanus genome. Several important virulence factors of G. intestinalis are present in the S. barkhanusgenome, as are genes involved in meiosis, hydrogenosome function and cyst formation (encystation). Interspersed repeats comprise 24% of the genome (558 Retroelements, 960 DNA transposons, whereas the S. salmonicida genome has only 7% interspersed repeats. Genome duplications, large expansions of protein-encoding capacity and the interspersed repeats are the major reasons for the larger genome size of S. barkhanus compared to S. salmonicida. The S. barkhanus genome will be the basis for further studies of the pathogenicity of S. salmonicida and it will contribute to the development of new molecular diagnostic tools that can differentiate between the two diplomonads in salmonid fish. The bioinformatic pipeline, combined with long-read sequencing, will simplify further comparative analyses of diplomonad genomes.

  • 27.
    Akdeniz, Zeynep
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology.
    Svärd, Staffan
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology.
    Jerlström-Hultqvist, Jon
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology.
    A pipeline for fast assembly, annotation and analyses of genomes from eukaryotic microbes: genome analyses of the diplomonad Spironucleus barkhanusManuscript (preprint) (Other academic)
  • 28.
    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, 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.

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    fulltext
  • 29.
    Akula, Srinivas
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology. Uppsala University, Disciplinary Domain of Science and Technology, Biology, Biology Education Centre.
    Analysis of the isotype specificity of three platypus immunoglobulin Fc receptors2012Independent thesis Advanced level (degree of Master (Two Years)), 30 credits / 45 HE creditsStudent thesis
    Abstract [en]

    The host’s defense against diseases called immunity acts either via innate or adaptive defense mechanisms. Immunoglobulins (Ig’s) are important players in adaptive immunity. They have evolved both structurally and functionally during vertebrate evolution. The Fc region of Igs can interact with specific receptors on the surface of various immune cells; crosslinking of these Fc receptors can trigger a wide array of immune reactions. To trigger such reactions, higher mammals have five different classes of Igs (IgM, IgG, IgA, IgE and IgD) while amphibians, reptiles and birds have four (IgM, IgD, IgA and IgY).  Our recent studies have revealed that the early mammals (Platypus) have eight Ig isotypes (IgM, IgD IgO, IgG1, IgG2, IgA1, IgA2 and IgE) and at least four Fc receptors: FcRA, FcRB, FcRC and FcRD. In this study we investigated the specificity of three of these platypus Fc receptors to get a better picture of their isotype specificity.   

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    Report-srinivasakula.pdf
  • 30.
    Akula, Srinivas
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Microbiology. Uppsala University.
    The mast cell transcriptome and the evolution of granule proteins and Fc receptors2019Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    Protection against disease-causing pathogens, known as immunity, involves numerous cells organs, tissues and their products. To able to understand the biology of immune cells (hematopoietic cells) and their role in an immune system, we have used several different methods, including transcriptome analyses, bioinformatics, production of recombinant proteins and analyses of some of them, focusing on the granule proteases by substrate phage display.

    Hematopoietic cells express surface receptors interacting with the constant region of immunoglobulins (Igs) known as Fc receptors (FcRs). These receptors play major roles in the immune system, including enhancing phagocytosis, activating antibody dependent cellular cytotoxicity and cell activation. A detailed bioinformatics analysis of FcRs reveals that the poly-Ig receptors (PIGR), FcR-like molecules and common signalling γ chain all appeared very early with the appearance of the bony fishes, and thereby represent the first major evolutionary step in FcR evolution. The FcμR, FcαμR, FcγR and FcεR receptors most likely appeared in reptiles or early mammals, representing the second major step in FcR evolution.

    Cells of several of the hematopoietic cell lineages contain large numbers of cytoplasmic granules, and serine proteases constitute the major protein content of these granules. In mammals, these proteases are encoded from four different loci: the chymase, the met-ase, the granzyme (A/K) and the mast cell tryptase loci. The granzyme (A/K) locus was the first to appear and came with the cartilaginous fishes. This locus is also the most conserved of the three. The second most conserved locus is the met-ase locus, which is found in bony fishes. The chymase locus appeared relatively late, and we find the first traces in frogs, indicating it appeared in early tetrapods.

    To study the early events in the diversification of these hematopoietic serine proteases we have analyzed key characteristics of a protease expressed by an NK-like cell in the channel catfish, catfish granzyme–like I. We have used phage display and further validated the results using a panel of recombinant substrates. This protease showed a strict preference for Met at the P1 (cleavage) position, which indicates met-ase specificity. From the screening of potential in vivo substrates, we found an interesting potential target caspase 6, which indicates that caspase-dependent apoptosis mechanisms have been conserved from fishes to mammals.

    A larger quantitative transcriptome analysis of purified mouse peritoneal mast cells, cultured mast cells (BMMCs), and mast cells isolated from mouse ear and lung tissue identified the major tissue specific transcripts in these mast cells as the granule proteases. Mast cell specific receptors and processing enzymes were expressed at approximately 2 orders of magnitude lower levels. The levels of a few proteases were quite different at various anatomical sites between in vivo and cultured BMMCs. These studies have given us a new insights into mast cells in different tissues, as well as key evolutionary aspects concerning the origins of a number of granule proteases and FcRs.