| Literature DB >> 28346099 |
Christina T Teng1, Jui-Hua Hsieh1, Jinghua Zhao2, Ruili Huang2, Menghang Xia2, Negin Martin3, Xiaohua Gao1, Darlene Dixon1, Scott S Auerbach1, Kristine L Witt1, B Alex Merrick1.
Abstract
Estrogen-related receptor alpha (ERRα), the first orphan nuclear receptor discovered, is crucial for the control of cellular energy metabolism. ERRα and its coactivator, peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PGC-1α), are required for rapid energy production in response to environmental challenges. They have been implicated in the etiology of metabolic disorders such as type 2 diabetes and metabolic syndrome. ERRα also plays a role in the pathogenesis of breast cancer. Identification of compounds that modulate ERRα signaling may elucidate environmental factors associated with these diseases. Therefore, we developed stable cell lines containing an intact ERRα signaling pathway, with and without the coactivator PGC-1α, to use as high-throughput screening tools to detect ERRα modulators. The lentiviral PGC-1α expression constructs and ERRα multiple hormone response element (MHRE) reporters were introduced into HEK293T cells that express endogenous ERRα. A cell line expressing the reporter alone was designated "ERR." A second cell line expressing both reporter and PGC-1α was named "PGC/ERR." Initial screenings of the Library of Pharmacologically Active Compounds (LOPAC) identified 33 ERR and 22 PGC/ERR agonists, and 54 ERR and 15 PGC/ERR antagonists. Several potent ERRα agonists were dietary plant compounds (e.g., genistein). In conclusion, these cell lines are suitable for high-throughput screens to identify environmental chemicals affecting metabolic pathways and breast cancer progression.Entities:
Keywords: ERRα signaling; LOPAC library; PGC-1α; metabolic syndrome; quantitative high-throughput screening; stable cell lines
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Year: 2017 PMID: 28346099 PMCID: PMC5486949 DOI: 10.1177/2472555216689772
Source DB: PubMed Journal: SLAS Discov ISSN: 2472-5552 Impact factor: 3.341