Literature DB >> 33434350

Mass spectrometry-based protein-protein interaction networks for the study of human diseases.

Alicia L Richards1,2,3, Manon Eckhardt1,2,3, Nevan J Krogan1,2,3.   

Abstract

A better understanding of the molecular mechanisms underlying disease is key for expediting the development of novel therapeutic interventions. Disease mechanisms are often mediated by interactions between proteins. Insights into the physical rewiring of protein-protein interactions in response to mutations, pathological conditions, or pathogen infection can advance our understanding of disease etiology, progression, and pathogenesis and can lead to the identification of potential druggable targets. Advances in quantitative mass spectrometry (MS)-based approaches have allowed unbiased mapping of these disease-mediated changes in protein-protein interactions on a global scale. Here, we review MS techniques that have been instrumental for the identification of protein-protein interactions at a system-level, and we discuss the challenges associated with these methodologies as well as novel MS advancements that aim to address these challenges. An overview of examples from diverse disease contexts illustrates the potential of MS-based protein-protein interaction mapping approaches for revealing disease mechanisms, pinpointing new therapeutic targets, and eventually moving toward personalized applications.
© 2021 The Authors. Published under the terms of the CC BY 4.0 license.

Entities:  

Keywords:  affinity purification; mass spectrometry; networks; protein-protein interactions; proximity labeling

Year:  2021        PMID: 33434350      PMCID: PMC7803364          DOI: 10.15252/msb.20188792

Source DB:  PubMed          Journal:  Mol Syst Biol        ISSN: 1744-4292            Impact factor:   11.429


  153 in total

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Authors:  Priya S Shah; Jason A Wojcechowskyj; Manon Eckhardt; Nevan J Krogan
Journal:  Curr Opin Microbiol       Date:  2015-08-10       Impact factor: 7.934

2.  Identification of cross-linked peptides from large sequence databases.

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Journal:  Nat Methods       Date:  2018-06-18       Impact factor: 28.547

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Journal:  Cancer Res       Date:  2016-11-21       Impact factor: 12.701

5.  Comparative Flavivirus-Host Protein Interaction Mapping Reveals Mechanisms of Dengue and Zika Virus Pathogenesis.

Authors:  Priya S Shah; Nichole Link; Gwendolyn M Jang; Phillip P Sharp; Tongtong Zhu; Danielle L Swaney; Jeffrey R Johnson; John Von Dollen; Holly R Ramage; Laura Satkamp; Billy Newton; Ruth Hüttenhain; Marine J Petit; Tierney Baum; Amanda Everitt; Orly Laufman; Michel Tassetto; Michael Shales; Erica Stevenson; Gabriel N Iglesias; Leila Shokat; Shashank Tripathi; Vinod Balasubramaniam; Laurence G Webb; Sebastian Aguirre; A Jeremy Willsey; Adolfo Garcia-Sastre; Katherine S Pollard; Sara Cherry; Andrea V Gamarnik; Ivan Marazzi; Jack Taunton; Ana Fernandez-Sesma; Hugo J Bellen; Raul Andino; Nevan J Krogan
Journal:  Cell       Date:  2018-12-13       Impact factor: 41.582

Review 6.  Mapping the protein-protein and genetic interactions of cancer to guide precision medicine.

Authors:  Mehdi Bouhaddou; Manon Eckhardt; Zun Zar Chi Naing; Minkyu Kim; Trey Ideker; Nevan J Krogan
Journal:  Curr Opin Genet Dev       Date:  2019-07-06       Impact factor: 5.578

7.  Recycling of Golgi glycosyltransferases requires direct binding to coatomer.

Authors:  Lin Liu; Balraj Doray; Stuart Kornfeld
Journal:  Proc Natl Acad Sci U S A       Date:  2018-08-20       Impact factor: 11.205

8.  Proteomic mapping of mitochondria in living cells via spatially restricted enzymatic tagging.

Authors:  Hyun-Woo Rhee; Peng Zou; Namrata D Udeshi; Jeffrey D Martell; Vamsi K Mootha; Steven A Carr; Alice Y Ting
Journal:  Science       Date:  2013-01-31       Impact factor: 47.728

9.  Expanding the chemical cross-linking toolbox by the use of multiple proteases and enrichment by size exclusion chromatography.

Authors:  Alexander Leitner; Roland Reischl; Thomas Walzthoeni; Franz Herzog; Stefan Bohn; Friedrich Förster; Ruedi Aebersold
Journal:  Mol Cell Proteomics       Date:  2012-01-27       Impact factor: 5.911

10.  Developing an Acidic Residue Reactive and Sulfoxide-Containing MS-Cleavable Homobifunctional Cross-Linker for Probing Protein-Protein Interactions.

Authors:  Craig B Gutierrez; Clinton Yu; Eric J Novitsky; Alexander S Huszagh; Scott D Rychnovsky; Lan Huang
Journal:  Anal Chem       Date:  2016-07-29       Impact factor: 6.986

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  20 in total

1.  Hepatocyte-derived MANF mitigates ethanol-induced liver steatosis in mice via enhancing ASS1 activity and activating AMPK pathway.

Authors:  Han-Yang Xu; Yan-Hong Jiao; Shi-Yu Li; Xu Zhu; Sheng Wang; Yu-Yang Zhang; Yi-Jun Wei; Yu-Jun Shen; Wei Wang; Yu-Xian Shen; Jun-Tang Shao
Journal:  Acta Pharmacol Sin       Date:  2022-06-02       Impact factor: 6.150

2.  Developing a Bimolecular Affinity Purification Strategy to Isolate 26S Proteasome Holocomplexes for Complex-Centric Proteomic Analysis.

Authors:  Clinton Yu; Xiaorong Wang; Wenxue Li; Yansheng Liu; Lan Huang
Journal:  Anal Chem       Date:  2021-09-22       Impact factor: 6.986

3.  Protein interaction landscapes revealed by advanced in vivo cross-linking-mass spectrometry.

Authors:  Andrew Wheat; Clinton Yu; Xiaorong Wang; Anthony M Burke; Ilan E Chemmama; Robyn M Kaake; Peter Baker; Scott D Rychnovsky; Jing Yang; Lan Huang
Journal:  Proc Natl Acad Sci U S A       Date:  2021-08-10       Impact factor: 11.205

4.  Thiol-Cleavable Biotin for Chemical and Enzymatic Biotinylation and Its Application to Mitochondrial TurboID Proteomics.

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Journal:  J Am Soc Mass Spectrom       Date:  2021-04-28       Impact factor: 3.109

5.  hu.MAP 2.0: integration of over 15,000 proteomic experiments builds a global compendium of human multiprotein assemblies.

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6.  Quantifying persistence in the T-cell signaling network using an optically controllable antigen receptor.

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Review 7.  Disease-specific interactome alterations via epichaperomics: the case for Alzheimer's disease.

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Review 8.  Mass spectrometry-based protein-protein interaction networks for the study of human diseases.

Authors:  Alicia L Richards; Manon Eckhardt; Nevan J Krogan
Journal:  Mol Syst Biol       Date:  2021-01       Impact factor: 11.429

9.  Probabilistic harmonization and annotation of single-cell transcriptomics data with deep generative models.

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Journal:  Mol Syst Biol       Date:  2021-01       Impact factor: 11.429

10.  PPI-MASS: An Interactive Web Server to Identify Protein-Protein Interactions From Mass Spectrometry-Based Proteomics Data.

Authors:  Mariela González-Avendaño; Simón Zúñiga-Almonacid; Ian Silva; Boris Lavanderos; Felipe Robinson; Roberto Rosales-Rojas; Fabio Durán-Verdugo; Wendy González; Mónica Cáceres; Oscar Cerda; Ariela Vergara-Jaque
Journal:  Front Mol Biosci       Date:  2021-07-01
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