Endogenous Purification Reveals GREB1 as a Key Estrogen Receptor Regulatory Factor
Year: 2013
Type: article
Abstract: Estrogen receptor-α (ER) is the driving transcription factor in most breast cancers, and its associated proteins can influence drug response, but direct methods for identifying interacting proteins have been limited. We purified endogenous ER using an approach termed RIME (rapid immunoprecipitation mass spectrometry of endogenous proteins) and discovered the interactome under agonist- and antagonist-liganded conditions in breast cancer cells, revealing transcriptional networks in breast cancer. The most estrogen-enriched ER interactor is GREB1, a potential clinical biomarker with no known function. GREB1 is shown to be a chromatin-bound ER coactivator and is essential for ER-mediated transcription, because it stabilizes interactions between ER and additional cofactors. We show a GREB1-ER interaction in three xenograft tumors, and using a directed protein-protein approach, we find GREB1-ER interactions in half of ER(+) primary breast cancers. This finding is supported by histological expression of GREB1, which shows that GREB1 is expressed in half of ER(+) cancers, and predicts good clinical outcome. These findings reveal an unexpected role for GREB1 as an estrogen-specific ER cofactor that is expressed in drug-sensitive contexts.
Source: Cell Reports
Authors: Hisham Mohammed, Clive D’Santos, Aurelien A. Serandour, H. Raza Ali, Gordon D. Brown, Alan Atkins, Oscar M. Rueda, Kelly A. Holmes, Vasiliki Theodorou, Jessica L.L. Robinson, Wilbert Zwart, Amel Saadi, Caryn S. Ross-Innes, Suet-Feung Chin, Suraj Menon, John Stingl, Carlo Palmieri, Carlos Caldas, Jason S. Carroll
Institutions: Cancer Research UK, Cancer Research UK Cambridge Center, Cambridge University Hospitals NHS Foundation Trust, Addenbrooke's Hospital, NIHR Cambridge Biomedical Research Centre, Thermo Fisher Scientific (United Kingdom), The Netherlands Cancer Institute, University of Cambridge, Imperial College Healthcare NHS Trust
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $5,620
OpenAlex ID: W2135060880
