1. A method for Boolean analysis of protein interactions at a molecular level
- Author
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Doroteya Raykova, Despoina Kermpatsou, Tony Malmqvist, Philip J. Harrison, Marie Rubin Sander, Christiane Stiller, Johan Heldin, Mattias Leino, Sara Ricardo, Anna Klemm, Leonor David, Ola Spjuth, Kalyani Vemuri, Anna Dimberg, Anders Sundqvist, Maria Norlin, Axel Klaesson, Caroline Kampf, and Ola Söderberg
- Subjects
Multidisciplinary ,Protein Interaction Mapping ,Biochemistry and Molecular Biology ,Proteins ,Medical Biotechnology (with a focus on Cell Biology (including Stem Cell Biology), Molecular Biology, Microbiology, Biochemistry or Biopharmacy) ,General Physics and Astronomy ,General Chemistry ,Medicinsk bioteknologi (med inriktning mot cellbiologi (inklusive stamcellsbiologi), molekylärbiologi, mikrobiologi, biokemi eller biofarmaci) ,Biokemi och molekylärbiologi ,General Biochemistry, Genetics and Molecular Biology ,Signal Transduction - Abstract
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.
- Published
- 2022
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