Literature DB >> 22610586

Resolving protein interactions and complexes by affinity purification followed by label-based quantitative mass spectrometry.

Laura Trinkle-Mulcahy1.   

Abstract

Label-based quantitative mass spectrometry analysis of affinity purified complexes, with its built-in negative controls and relative ease of use, is an increasingly popular choice for defining protein-protein interactions and multiprotein complexes. This approach, which differentially labels proteins/peptides from two or more populations and combines them prior to analysis, permits direct comparison of a protein pulldown (e.g. affinity purified tagged protein) to that of a control pulldown (e.g. affinity purified tag alone) in a single mass spectrometry (MS) run, thus avoiding the variability inherent in separate runs. The use of quantitative techniques has been driven in large part by significant improvements in the resolution and sensitivity of high-end mass spectrometers. Importantly, the availability of commercial reagents and open source identification/quantification software has made these powerful techniques accessible to nonspecialists. Benefits and drawbacks of the most popular labeling-based approaches are discussed here, and key steps/strategies for the use of labeling in quantitative immunoprecipitation experiments detailed.
© 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Year:  2012        PMID: 22610586     DOI: 10.1002/pmic.201100438

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  23 in total

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2.  Cdx2 Regulates Gene Expression through Recruitment of Brg1-associated Switch-Sucrose Non-fermentable (SWI-SNF) Chromatin Remodeling Activity.

Authors:  Thinh T Nguyen; Joanne G A Savory; Travis Brooke-Bisschop; Randy Ringuette; Tanya Foley; Bradley L Hess; Kirk J Mulatz; Laura Trinkle-Mulcahy; David Lohnes
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Review 3.  Popular computational methods to assess multiprotein complexes derived from label-free affinity purification and mass spectrometry (AP-MS) experiments.

Authors:  Irina M Armean; Kathryn S Lilley; Matthew W B Trotter
Journal:  Mol Cell Proteomics       Date:  2012-10-15       Impact factor: 5.911

4.  Identification of Novel SCIRR69-Interacting Proteins During ER Stress Using SILAC-Immunoprecipitation Quantitative Proteomics Approach.

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Journal:  Neuromolecular Med       Date:  2016-08-03       Impact factor: 3.843

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Authors:  David A Patten; Jacob Wong; Mireille Khacho; Vincent Soubannier; Ryan J Mailloux; Karine Pilon-Larose; Jason G MacLaurin; David S Park; Heidi M McBride; Laura Trinkle-Mulcahy; Mary-Ellen Harper; Marc Germain; Ruth S Slack
Journal:  EMBO J       Date:  2014-10-08       Impact factor: 11.598

Review 6.  Beyond hairballs: The use of quantitative mass spectrometry data to understand protein-protein interactions.

Authors:  Anne-Claude Gingras; Brian Raught
Journal:  FEBS Lett       Date:  2012-04-10       Impact factor: 4.124

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Authors:  Hyung Suk; David M Knipe
Journal:  Proteomics       Date:  2015-04-29       Impact factor: 3.984

Review 8.  Proteomics-based methods for discovery, quantification, and validation of protein-protein interactions.

Authors:  Yana V Miteva; Hanna G Budayeva; Ileana M Cristea
Journal:  Anal Chem       Date:  2012-12-12       Impact factor: 6.986

Review 9.  Combining genomic and proteomic approaches for epigenetics research.

Authors:  Yumiao Han; Benjamin A Garcia
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10.  Quantitative fragmentome mapping reveals novel, domain-specific partners for the modular protein RepoMan (recruits PP1 onto mitotic chromatin at anaphase).

Authors:  Michèle Prévost; Delphine Chamousset; Isha Nasa; Emily Freele; Nick Morrice; Greg Moorhead; Laura Trinkle-Mulcahy
Journal:  Mol Cell Proteomics       Date:  2013-01-29       Impact factor: 5.911

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