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Originalartikel | erschienen - Druck | peer reviewed

Characterization of the EGFR interactome reveals associated protein complex networks and intracellular receptor dynamics


PROTEOMICS 2013 ; 13(21): 3131 - 3144






Bibliometric indicators



Impact Factor = 3.973

Citations (WOS) = 109

DOI = 10.1002/pmic.201300154

PubMed-ID = 23956138


Authors

Foerster S*, Kacprowski T1, Dhople V1, Hammer E1, Herzog S2, Saafan H3, Bien-Möller S2, Albrecht M, Völker U1, Ritter C3


Abstract

Growth factor receptor mediated signaling is meanwhile recognized as a complex signaling network, which is initiated by recruiting specific patterns of adaptor proteins to the intracellular domain of epidermal growth factor receptor (EGFR). Approaches to globally identify EGFR-binding proteins are required to elucidate this network. We affinity-purified EGFR with its interacting proteins by coprecipitation from lysates of A431 cells. A total of 183 proteins were repeatedly detected in high-resolution MS measurements. For 15 of these, direct interactions with EGFR were listed in the iRefIndex interaction database, including Grb2, shc-1, SOS1 and 2, STAT 1 and 3, AP2, UBS3B, and ERRFI. The newly developed Cytoscape plugin ModuleGraph allowed retrieving and visualizing 93 well-described protein complexes that contained at least one of the proteins found to interact with EGFR in our experiments. Abundances of 14 proteins were modulated more than twofold upon EGFR activation whereof clathrin-associated adaptor complex AP-2 showed 4.6-fold enrichment. These proteins were further annotated with different cellular compartments. Finally, interactions of AP-2 proteins and the newly discovered interaction of CIP2A could be verified. In conclusion, a powerful technique is presented that allowed identification and quantitative assessment of the EGFR interactome to provide further insight into EGFR signaling.

Published in

PROTEOMICS


Year 2013
Impact Factor (2013) 3.973
Volume 13
Issue 21
Pages 3131 - 3144
Open Access nein
Peer reviewed ja
Article type Originalartikel
Article state erschienen - Druck
DOI 10.1002/pmic.201300154
PubMed-ID 23956138

Common journal data

Short name: PROTEOMICS
ISSN: 1615-9853
eISSN: 1615-9861
Country: GERMANY (FED REP GER)
Language: English
Categories:
  • GENETICS & HEREDITY
  • BIOCHEMISTRY & MOLECULAR BIOLOGY


Impact factor trend

Year Impact Factor
2008 4.586
2009 4.426
2010 4.815
2011 4.505
2012 4.132
2013 3.973
2014 3.807
2015 4.079
2016 4.041
2017 3.532
2018 3.106
2019 3.254
2020 3.984
2021 5.393
2022 3.4
2023 3.4
2024 3.9

Projects

GANI_MED Greifswald Approach to Individualized Medicine (Projektverbund)

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