Literature DB >> 20839110

Mapping protein-protein interactions by quantitative proteomics.

Joern Dengjel1, Irina Kratchmarova, Blagoy Blagoev.   

Abstract

Proteins exert their function inside a cell generally in multiprotein complexes. These complexes are highly dynamic structures changing their composition over time and cell state. The same protein may thereby fulfill different functions depending on its binding partners. Quantitative mass spectrometry (MS)-based proteomics in combination with affinity purification protocols has become the method of choice to map and track the dynamic changes in protein-protein interactions, including the ones occurring during cellular signaling events. Different quantitative MS strategies have been used to characterize protein interaction networks. In this chapter we describe in detail the use of stable isotope labeling by amino acids in cell culture (SILAC) for the quantitative analysis of stimulus-dependent dynamic protein interactions.

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Year:  2010        PMID: 20839110     DOI: 10.1007/978-1-60761-780-8_16

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  8 in total

1.  GProX, a user-friendly platform for bioinformatics analysis and visualization of quantitative proteomics data.

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Journal:  J Biol Chem       Date:  2016-06-20       Impact factor: 5.157

3.  Cylindromatosis Tumor Suppressor Protein (CYLD) Deubiquitinase is Necessary for Proper Ubiquitination and Degradation of the Epidermal Growth Factor Receptor.

Authors:  Virginia Sanchez-Quiles; Vyacheslav Akimov; Nerea Osinalde; Chiara Francavilla; Michele Puglia; Inigo Barrio-Hernandez; Irina Kratchmarova; Jesper V Olsen; Blagoy Blagoev
Journal:  Mol Cell Proteomics       Date:  2017-06-01       Impact factor: 5.911

4.  Calpain interacts with class IA phosphoinositide 3-kinases regulating their stability and signaling activity.

Authors:  Luisa Beltran; Claire Chaussade; Bart Vanhaesebroeck; Pedro Rodriguez Cutillas
Journal:  Proc Natl Acad Sci U S A       Date:  2011-09-19       Impact factor: 11.205

5.  Respiratory status determines the effect of emodin on cell viability.

Authors:  Verónica I Dumit; Ralf M Zerbes; Stephanie Kaeser-Pebernard; Michal Rackiewicz; Mona T Wall; Christine Gretzmeier; Victoria Küttner; Martin van der Laan; Ralf J Braun; Jörn Dengjel
Journal:  Oncotarget       Date:  2017-06-06

6.  Adipose MDM2 regulates systemic insulin sensitivity.

Authors:  Philip Hallenborg; Benjamin Anderschou Holbech Jensen; Even Fjære; Rasmus Koefoed Petersen; Mohammed-Samir Belmaâti; Sarah Søndergård Rasmussen; Jon Petur Gunnarsson; Pernille Lauritzen; Kenneth King Yip Cheng; Martin Hermansson; Si Brask Sonne; Christer S Ejsing; Aimin Xu; Irina Kratchmarova; Marcus Krüger; Lise Madsen; Karsten Kristiansen; Blagoy Blagoev
Journal:  Sci Rep       Date:  2021-11-08       Impact factor: 4.379

7.  Alterations of Gab2 signalling complexes in imatinib and dasatinib treated chronic myeloid leukaemia cells.

Authors:  Sebastian Halbach; Kristoffer Tg Rigbolt; Franziska U Wöhrle; Britta Diedrich; Christine Gretzmeier; Tilman Brummer; Jörn Dengjel
Journal:  Cell Commun Signal       Date:  2013-04-22       Impact factor: 5.712

8.  Changes in Gab2 phosphorylation and interaction partners in response to interleukin (IL)-2 stimulation in T-lymphocytes.

Authors:  Nerea Osinalde; Virginia Sánchez-Quiles; Blagoy Blagoev; Irina Kratchmarova
Journal:  Sci Rep       Date:  2016-03-30       Impact factor: 4.379

  8 in total

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