Literature DB >> 22611051

Affinity-purification coupled to mass spectrometry: basic principles and strategies.

Wade H Dunham1, Michael Mullin, Anne-Claude Gingras.   

Abstract

Identifying the interactions established by a protein of interest can be a critical step in understanding its function. This is especially true when an unknown protein of interest is demonstrated to physically interact with proteins of known function. While many techniques have been developed to characterize protein-protein interactions, one strategy that has gained considerable momentum over the past decade for identification and quantification of protein-protein interactions, is affinity-purification followed by mass spectrometry (AP-MS). Here, we briefly review the basic principles used in affinity-purification coupled to mass spectrometry, with an emphasis on tools (both biochemical and computational), which enable the discovery and reporting of high quality protein-protein interactions.
© 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Year:  2012        PMID: 22611051     DOI: 10.1002/pmic.201100523

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


  101 in total

1.  Cross-linking immunoprecipitation-MS (xIP-MS): Topological Analysis of Chromatin-associated Protein Complexes Using Single Affinity Purification.

Authors:  Matthew M Makowski; Esther Willems; Pascal W T C Jansen; Michiel Vermeulen
Journal:  Mol Cell Proteomics       Date:  2015-11-11       Impact factor: 5.911

2.  Rapid immunoprecipitation mass spectrometry of endogenous proteins (RIME) for analysis of chromatin complexes.

Authors:  Hisham Mohammed; Christopher Taylor; Gordon D Brown; Evaggelia K Papachristou; Jason S Carroll; Clive S D'Santos
Journal:  Nat Protoc       Date:  2016-01-21       Impact factor: 13.491

3.  Analysis of Human Nuclear Protein Complexes by Quantitative Mass Spectrometry Profiling.

Authors:  Katelyn E Connelly; Victoria Hedrick; Tiago Jose Paschoal Sobreira; Emily C Dykhuizen; Uma K Aryal
Journal:  Proteomics       Date:  2018-05-04       Impact factor: 3.984

4.  Proteomic analysis of the NOS2 interactome in human airway epithelial cells.

Authors:  Matthew W Foster; J Will Thompson; Michael T Forrester; Yonggang Sha; Timothy J McMahon; Dawn E Bowles; M Arthur Moseley; Harvey E Marshall
Journal:  Nitric Oxide       Date:  2013-02-21       Impact factor: 4.427

5.  Computational Methods for Predicting Protein-Protein Interactions Using Various Protein Features.

Authors:  Ziyun Ding; Daisuke Kihara
Journal:  Curr Protoc Protein Sci       Date:  2018-06-21

6.  A Versatile Lentiviral Delivery Toolkit for Proximity-dependent Biotinylation in Diverse Cell Types.

Authors:  Payman Samavarchi-Tehrani; Hala Abdouni; Reuben Samson; Anne-Claude Gingras
Journal:  Mol Cell Proteomics       Date:  2018-07-10       Impact factor: 5.911

7.  Proteomics-based identification of low-abundance signaling and regulatory protein complexes in native plant tissues.

Authors:  Cezary Smaczniak; Na Li; Sjef Boeren; Twan America; Walter van Dongen; Soenita S Goerdayal; Sacco de Vries; Gerco C Angenent; Kerstin Kaufmann
Journal:  Nat Protoc       Date:  2012-11-29       Impact factor: 13.491

8.  mapDIA: Preprocessing and statistical analysis of quantitative proteomics data from data independent acquisition mass spectrometry.

Authors:  Guoshou Teo; Sinae Kim; Chih-Chiang Tsou; Ben Collins; Anne-Claude Gingras; Alexey I Nesvizhskii; Hyungwon Choi
Journal:  J Proteomics       Date:  2015-09-15       Impact factor: 4.044

9.  Proteomic approaches for cancer epigenetics research.

Authors:  Dylan M Marchione; Benjamin A Garcia; John Wojcik
Journal:  Expert Rev Proteomics       Date:  2018-11-27       Impact factor: 3.940

10.  Tandem Affinity Purification and Mass Spectrometry (TAP-MS) for the Analysis of Protein Complexes.

Authors:  Guillaume Adelmant; Brijesh K Garg; Maria Tavares; Joseph D Card; Jarrod A Marto
Journal:  Curr Protoc Protein Sci       Date:  2019-02-01
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