Development of Novel Cell Lines for High-Throughput Screening to Detect Estrogen-Related Receptor Alpha Modulators
Christina T. Teng, Jui-Hua Hsieh, Jinghua Zhao, Ruili Huang, Menghang Xia, Negin Martin, Xiaohua Gao, Darlene Dixon, Scott S. Auerbach, Kristine L. Witt, B. Alex Merrick.
SLAS Discovery (2017) DOI: https://doi.org/10.1177/2472555216689772 PMID: 28346099
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.
Figure 1. Concentration–response curves for the reference agonist genistein.
Concentration–response curves for the reference agonist genistein and the reference antagonist XCT790 in the ERR and PGC/ERR cell lines. Data are reported as mean ± SEM from three independent experiments.
- Figure 1 (406 KB)
Figure 2. Venn diagram illustrating the overlap between agonists (A) and antagonists (B).
Venn diagram illustrating the overlap between agonists (A) and antagonists (B) in the ERR and PGC/ERR assays.
- Figure 2 (316 KB)
Figure 3. Dose–response curves for compounds identified as actives in both ERR and PGC/ERR.
Cell lines, agonists (A, B) and antagonists (C, D); black squares, ERR line; black circles, PGC/ERR line; open squares, cytotoxicity for ERR line; open circles, cytotoxicity for PGC/ERR line; X axis, concentration of compounds; Y axis, response, as a percentage of the positive control. All data points are shown as mean ± SEM from three independent experiments.
- Figure 3 (849 KB)
Table 1. Compounds from the LOPAC That Were Identified as Agonists.
Compounds from the LOPAC That Were Identified as Agonists in Either the ERR or PGC/ERR Assays.
- Table 1 (744 KB)
Table 2. Compounds from the LOPAC Collection That Were Identified as Antagonists.
Compounds from the LOPAC Collection That Were Identified as Antagonists in Either the ERR or PGC/ERR Assays.
- Table 2 (929 KB)
Table 3. Activities (AC50) of ERR, PGC/ERR Agonists and Antagonists.
Activities (AC50) of ERR and PGC/ERR Agonists in Other qHTS Agonist Screens with the LOPAC Collection.
3B. Activities (AC50) of ERR and PGC/ERR Antagonists in Other qHTS Antagonist Screens with the LOPAC Collection.
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