Literature DB >> 23281033

Quantitative proteomics: A strategic ally to map protein interaction networks.

Miguel Marcilla1, Juan Pablo Albar.   

Abstract

Many physiological processes are regulated by dynamic protein interaction networks whose characterization provides valuable information on cell biology. Several strategies can be used to analyze protein-protein interactions. Among them, affinity purification combined with mass spectrometry (AP-MS) is arguably the most widely employed technique, not only owing to its high throughput and sensitivity but also because it can answer critical questions such as where, when, and how protein-protein interactions occur. In AP-MS workflows, both the target protein and its interacting partners are isolated before being identified by MS. The main challenge of this approach is to distinguish bona fide binders from background contaminants. This review focuses on the different strategies designed to circumvent this limitation. In this regard, the combination of quantitative proteomics and affinity purification emerges as one of the most powerful, yet relatively simple, strategies to characterize protein-protein interactions.
Copyright © 2012 International Union of Biochemistry and Molecular Biology, Inc.

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Year:  2013        PMID: 23281033     DOI: 10.1002/iub.1081

Source DB:  PubMed          Journal:  IUBMB Life        ISSN: 1521-6543            Impact factor:   3.885


  11 in total

1.  Quantitative proteomics reveals novel protein interaction partners of PP2A catalytic subunit in pancreatic β-cells.

Authors:  Xiangmin Zhang; Divyasri Damacharla; Danjun Ma; Yue Qi; Rebecca Tagett; Sorin Draghici; Anjaneyulu Kowluru; Zhengping Yi
Journal:  Mol Cell Endocrinol       Date:  2016-01-09       Impact factor: 4.102

Review 2.  Proteomic approaches and identification of novel therapeutic targets for alcoholism.

Authors:  Giorgio Gorini; R Adron Harris; R Dayne Mayfield
Journal:  Neuropsychopharmacology       Date:  2013-07-31       Impact factor: 7.853

3.  Novel Aquaporin Regulatory Mechanisms Revealed by Interactomics.

Authors:  Jorge Bellati; Chloé Champeyroux; Sonia Hem; Valérie Rofidal; Gabriel Krouk; Christophe Maurel; Véronique Santoni
Journal:  Mol Cell Proteomics       Date:  2016-09-08       Impact factor: 5.911

4.  Quantitative proteomics reveals novel interaction partners of Rac1 in pancreatic β-cells: Evidence for increased interaction with Rac1 under hyperglycemic conditions.

Authors:  Divyasri Damacharla; Vijayalakshmi Thamilselvan; Xiangmin Zhang; Aktham Mestareehi; Zhengping Yi; Anjaneyulu Kowluru
Journal:  Mol Cell Endocrinol       Date:  2019-06-13       Impact factor: 4.102

Review 5.  Protein networks and activation of lymphocytes.

Authors:  Ynes A Helou; Arthur R Salomon
Journal:  Curr Opin Immunol       Date:  2015-02-14       Impact factor: 7.486

Review 6.  Protein-DNA/RNA Interactions: An Overview of Investigation Methods in the -Omics Era.

Authors:  Flora Cozzolino; Ilaria Iacobucci; Vittoria Monaco; Maria Monti
Journal:  J Proteome Res       Date:  2021-05-07       Impact factor: 4.466

7.  Steap4 attenuates high glucose and S100B-induced effects in mesangial cells.

Authors:  Chao-Tang Chuang; Jinn-Yuh Guh; Chi-Yu Lu; Yeng-Tseng Wang; Hung-Chun Chen; Lea-Yea Chuang
Journal:  J Cell Mol Med       Date:  2015-03-27       Impact factor: 5.310

8.  Novel Endogenous, Insulin-Stimulated Akt2 Protein Interaction Partners in L6 Myoblasts.

Authors:  Michael Caruso; Xiangmin Zhang; Danjun Ma; Zhao Yang; Yue Qi; Zhengping Yi
Journal:  PLoS One       Date:  2015-10-14       Impact factor: 3.240

9.  A comprehensive protein-protein interactome for yeast PAS kinase 1 reveals direct inhibition of respiration through the phosphorylation of Cbf1.

Authors:  Desiree DeMille; Benjamin T Bikman; Andrew D Mathis; John T Prince; Jordan T Mackay; Steven W Sowa; Tacie D Hall; Julianne H Grose
Journal:  Mol Biol Cell       Date:  2014-05-21       Impact factor: 4.138

10.  Increased interaction with insulin receptor substrate 1, a novel abnormality in insulin resistance and type 2 diabetes.

Authors:  Michael Caruso; Danjun Ma; Zaher Msallaty; Monique Lewis; Berhane Seyoum; Wissam Al-janabi; Michael Diamond; Abdul B Abou-Samra; Kurt Højlund; Rebecca Tagett; Sorin Draghici; Xiangmin Zhang; Jeffrey F Horowitz; Zhengping Yi
Journal:  Diabetes       Date:  2014-02-28       Impact factor: 9.461

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