uu.seUppsala University Publications
Change search
Link to record
Permanent link

Direct link
BETA
Oelrich, Johan
Publications (4 of 4) Show all publications
Klaesson, A., Grannas, K., Ebai, T., Heldin, J., Koos, B., Leino, M., . . . Landegren, U. (2018). Improved efficiency of in situ protein analysis by proximity ligation using UnFold probes. Scientific Reports, 8, Article ID 5400.
Open this publication in new window or tab >>Improved efficiency of in situ protein analysis by proximity ligation using UnFold probes
Show others...
2018 (English)In: Scientific Reports, ISSN 2045-2322, E-ISSN 2045-2322, Vol. 8, article id 5400Article in journal (Refereed) Published
Abstract [en]

We have redesigned probes for in situ proximity ligation assay (PLA), resulting in more efficient localized detection of target proteins. In situ PLA depends on recognition of target proteins by pairs of antibody-oligonucleotide conjugates (PLA probes), which jointly give rise to DNA circles that template localized rolling circle amplification reactions. The requirement for dual recognition of the target proteins improves selectivity by ignoring any cross-reactivity not shared by the antibodies, and it allows detection of protein-protein interactions and post-translational modifications. We herein describe an improved design of the PLA probes -UnFold probes - where all elements required for formation of circular DNA strands are incorporated in the probes. Premature interactions between the UnFold probes are prevented by including an enzymatic "unfolding" step in the detection reactions. This allows DNA circles to form by pairs of reagents only after excess reagents have been removed. We demonstrate the performance of UnFold probes for detection of protein-protein interactions and post-translational modifications in fixed cells and tissues, revealing considerably more efficient signal generation. We also apply the UnFold probes to detect IL-6 in solution phase after capture on solid supports, demonstrating increased sensitivity over both normal sandwich enzyme-linked immunosorbent assays and conventional PLA assays.

Place, publisher, year, edition, pages
Nature Publishing Group, 2018
National Category
Medical Biotechnology (with a focus on Cell Biology (including Stem Cell Biology), Molecular Biology, Microbiology, Biochemistry or Biopharmacy) Biochemistry and Molecular Biology
Identifiers
urn:nbn:se:uu:diva-340077 (URN)10.1038/s41598-018-23582-1 (DOI)000428618900043 ()29599435 (PubMedID)
Funder
EU, FP7, Seventh Framework Programme, 278568 264737 294409Swedish Foundation for Strategic Research Swedish Research Council
Note

Ola Söderberg and Ulf Landegren jointly supervised this work

Available from: 2018-01-25 Created: 2018-01-25 Last updated: 2018-08-06Bibliographically approved
Larssen, P., Wik, L., Czarnewski, P., Eldh, M., Löf, L., Ronquist, G., . . . Kamali-Moghaddam, M. (2017). Tracing Cellular Origin of Human Exosomes Using Multiplex Proximity Extension Assay. Molecular & cellular proteomics (online), 16(3), 502-511
Open this publication in new window or tab >>Tracing Cellular Origin of Human Exosomes Using Multiplex Proximity Extension Assay
Show others...
2017 (English)In: Molecular & cellular proteomics (online), ISSN 1535-9476, E-ISSN 1535-9484, Vol. 16, no 3, p. 502-511Article in journal (Refereed) Published
Abstract [en]

Extracellular vesicles (EVs) are membrane-coated objects such as exosomes and microvesicles, released by many cell-types. Their presence in body fluids and the variable surface composition and content render them attractive potential biomarkers. The ability to determine their cellular origin could greatly move the field forward. We used multiplex proximity extension assays (PEA) to identify with high specificity and sensitivity the protein profiles of exosomes of different origins, including seven cell lines and two different body fluids. By comparing cells and exosomes, we successfully identified the cells originating the exosomes. Furthermore, by principal component analysis of protein patterns human milk EVs and prostasomes released from prostate acinar cells clustered with cell lines from breast and prostate tissues, respectively. Milk exosomes uniquely expressed CXCL5, MIA and KLK6, while prostasomes carried NKX31, GSTP1 and SRC, highlighting that EVs originating from different origins express distinct proteins. In conclusion, PEA provides a powerful protein screening tool in exosome research, for purposes of identifying the cell source of exosomes, or new biomarkers in diseases such as cancer and inflammation.

National Category
Cancer and Oncology
Identifiers
urn:nbn:se:uu:diva-314142 (URN)10.1074/mcp.M116.064725 (DOI)000395670900013 ()28111361 (PubMedID)
Funder
Swedish Research CouncilEU, FP7, Seventh Framework Programme, 259796 294409Swedish Cancer Society, 2013/867Stockholm County Council, 20140405Swedish Heart Lung Foundation, 20140497The Karolinska Institutet's Research FoundationCancer and Allergy Foundation
Available from: 2017-01-28 Created: 2017-01-28 Last updated: 2017-04-20Bibliographically approved
Galli, J., Oelrich, J., Taussig, M. J., Andreasson, U., Ortega-Paino, E. & Landegren, U. (2015). The Biobanking Analysis Resource Catalogue (BARCdb): a new research tool for the analysis of biobank samples.. Nucleic Acids Research, 43(D1), D1158-D1162
Open this publication in new window or tab >>The Biobanking Analysis Resource Catalogue (BARCdb): a new research tool for the analysis of biobank samples.
Show others...
2015 (English)In: Nucleic Acids Research, ISSN 0305-1048, E-ISSN 1362-4962, Vol. 43, no D1, p. D1158-D1162Article in journal (Refereed) Published
Abstract [en]

We report the development of a new database of technology services and products for analysis of biobank samples in biomedical research. BARCdb, the Biobanking Analysis Resource Catalogue (http://www.barcdb.org), is a freely available web resource, listing expertise and molecular resource capabilities of research centres and biotechnology companies. The database is designed for researchers who require information on how to make best use of valuable biospecimens from biobanks and other sample collections, focusing on the choice of analytical techniques and the demands they make on the type of samples, pre-analytical sample preparation and amounts needed. BARCdb has been developed as part of the Swedish biobanking infrastructure (BBMRI.se), but now welcomes submissions from service providers throughout Europe. BARCdb can help match resource providers with potential users, stimulating transnational collaborations and ensuring compatibility of results from different labs. It can promote a more optimal use of European resources in general, both with respect to standard and more experimental technologies, as well as for valuable biobank samples. This article describes how information on service and reagent providers of relevant technologies is made available on BARCdb, and how this resource may contribute to strengthening biomedical research in academia and in the biotechnology and pharmaceutical industries.

National Category
Basic Medicine
Identifiers
urn:nbn:se:uu:diva-239530 (URN)10.1093/nar/gku1008 (DOI)000350210400169 ()25336620 (PubMedID)
Available from: 2014-12-29 Created: 2014-12-29 Last updated: 2018-01-11Bibliographically approved
Lönn, P., Al-Amin, R. A., Heldin, J., Gallini, R., Björkesten, J., Oelrich, J., . . . Landegren, U.High-throughput in situ mapping of phosphorylated protein complexes across the cell cycle and in response to drugs.
Open this publication in new window or tab >>High-throughput in situ mapping of phosphorylated protein complexes across the cell cycle and in response to drugs
Show others...
(English)Manuscript (preprint) (Other academic)
Abstract [en]

Interactions and posttranslational modifications (PTMs) of proteins orchestrate cellular responses to cytokines, drugs or other agents, but it has been difficult to monitor and characterize these dynamic events at high-throughput. Here, we have established a semi-automated system for large-scale in situ proximity ligation assays (isPLA). The protocol combines isPLA in microtiter wells with automated microscopy and computer-based image analysis whereby specific protein phosphorylations and interactions are digitally recorded in cells, along with measurements of morphological features. We demonstrate how this platform can improve analysis of cellular signaling by investigating TGF-b responsive Smad2 linker phosphorylations and complex formations over time and across millions of individual cells. We depict single cell responses in relation to e.g. local cell crowding and cell cycle progression via measurements of DNA content and nuclear size. Finally, we illustrate the application of the protocol for demonstrating drug effects by screening a library of phosphatase inhibitors. In summary, our approach expands the scope for image-based single cell analyses by combining observations of protein interactions and modifications with morphological details of individual cells at high throughput.

National Category
Natural Sciences
Research subject
Biochemistry; Molecular Cellbiology; Molecular Biotechnology
Identifiers
urn:nbn:se:uu:diva-374248 (URN)
Available from: 2019-01-18 Created: 2019-01-18 Last updated: 2019-01-21
Organisations

Search in DiVA

Show all publications