A method for Boolean analysis of protein interactions at a molecular levelShow others and affiliations
2022 (English)In: Nature Communications, E-ISSN 2041-1723, Vol. 13, no 1, article id 4755Article in journal (Refereed) Published
Abstract [en]
Determination of interactions between native proteins in cells is important for understanding function. Here the authors report MolBoolean as a method to detect interactions between endogenous proteins in subcellular compartments, using antibody-DNA conjugates for identification and signal amplification. Determining the levels of protein-protein interactions is essential for the analysis of signaling within the cell, characterization of mutation effects, protein function and activation in health and disease, among others. Herein, we describe MolBoolean - a method to detect interactions between endogenous proteins in various subcellular compartments, utilizing antibody-DNA conjugates for identification and signal amplification. In contrast to proximity ligation assays, MolBoolean simultaneously indicates the relative abundances of protein A and B not interacting with each other, as well as the pool of A and B proteins that are proximal enough to be considered an AB complex. MolBoolean is applicable both in fixed cells and tissue sections. The specific and quantifiable data that the method generates provide opportunities for both diagnostic use and medical research.
Place, publisher, year, edition, pages
Springer Nature, 2022. Vol. 13, no 1, article id 4755
National Category
Biochemistry Molecular Biology Medical Biotechnology (with a focus on Cell Biology (including Stem Cell Biology), Molecular Biology, Microbiology, Biochemistry or Biopharmacy)
Identifiers
URN: urn:nbn:se:uu:diva-482674DOI: 10.1038/s41467-022-32395-wISI: 000840338100011PubMedID: 35963857OAI: oai:DiVA.org:uu-482674DiVA, id: diva2:1697101
Funder
Swedish Foundation for Strategic ResearchSwedish Cancer SocietySwedish Research Council
Note
Correction in: Nature Communications volume 14, Article number: 5450 (2023)
DOI: 10.1038/s41467-023-41325-3
2022-09-202022-09-202025-02-20Bibliographically approved
In thesis