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Mapping protein-protein interactions by mass spectrometry.
Liu, Xiaonan; Abad, Lawrence; Chatterjee, Lopamudra; Cristea, Ileana M; Varjosalo, Markku.
Affiliation
  • Liu X; Department of Physiology, Faculty of Medical Sciences in Katowice, Medical University of Silesia in Katowice, Katowice, Poland.
  • Abad L; Institute of Biotechnology, HiLIFE Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland.
  • Chatterjee L; iCAN Digital Precision Cancer Medicine Flagship, University of Helsinki, Helsinki, Finland.
  • Cristea IM; Department of Molecular Biology, Princeton University, Princeton, New Jersey, USA.
  • Varjosalo M; Institute of Biotechnology, HiLIFE Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland.
Mass Spectrom Rev ; 2024 May 14.
Article in En | MEDLINE | ID: mdl-38742660
ABSTRACT
Protein-protein interactions (PPIs) are essential for numerous biological activities, including signal transduction, transcription control, and metabolism. They play a pivotal role in the organization and function of the proteome, and their perturbation is associated with various diseases, such as cancer, neurodegeneration, and infectious diseases. Recent advances in mass spectrometry (MS)-based protein interactomics have significantly expanded our understanding of the PPIs in cells, with techniques that continue to improve in terms of sensitivity, and specificity providing new opportunities for the study of PPIs in diverse biological systems. These techniques differ depending on the type of interaction being studied, with each approach having its set of advantages, disadvantages, and applicability. This review highlights recent advances in enrichment methodologies for interactomes before MS analysis and compares their unique features and specifications. It emphasizes prospects for further improvement and their potential applications in advancing our knowledge of PPIs in various biological contexts.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Mass Spectrom Rev Year: 2024 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Mass Spectrom Rev Year: 2024 Document type: Article Affiliation country: