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Predictive features of ligand‐specific signaling through the estrogen receptor
Authors:Yangfan Zheng  Song Wang  Jian Min  Chune Dong  Zongquan Liao  Jason Nowak  Nicholas J Wright  René Houtman  Kathryn E Carlson  Jatinder S Josan  Olivier Elemento  John A Katzenellenbogen  Hai‐Bing Zhou  Kendall W Nettles
Institution:1. State Key Laboratory of Virology, Key Laboratory of Combinatorial Biosynthesis and Drug Discovery (Wuhan University), Ministry of Education, Wuhan University School of Pharmaceutical Sciences, Wuhan, China;2. Department of Chemistry, University of Illinois, Urbana, IL, USA;3. Department of Cancer Biology, The Scripps Research Institute, Jupiter, FL, USA;4. PamGene International, Den Bosch, The Netherlands;5. Department of Chemistry, Virginia Tech, Blacksburg, VA, USA;6. Department of Physiology and Biophysics, Institute for Computational Biomedicine, Weill Cornell Medical College, New York, NY, USA
Abstract:Some estrogen receptor‐α (ERα)‐targeted breast cancer therapies such as tamoxifen have tissue‐selective or cell‐specific activities, while others have similar activities in different cell types. To identify biophysical determinants of cell‐specific signaling and breast cancer cell proliferation, we synthesized 241 ERα ligands based on 19 chemical scaffolds, and compared ligand response using quantitative bioassays for canonical ERα activities and X‐ray crystallography. Ligands that regulate the dynamics and stability of the coactivator‐binding site in the C‐terminal ligand‐binding domain, called activation function‐2 (AF‐2), showed similar activity profiles in different cell types. Such ligands induced breast cancer cell proliferation in a manner that was predicted by the canonical recruitment of the coactivators NCOA1/2/3 and induction of the GREB1 proliferative gene. For some ligand series, a single inter‐atomic distance in the ligand‐binding domain predicted their proliferative effects. In contrast, the N‐terminal coactivator‐binding site, activation function‐1 (AF‐1), determined cell‐specific signaling induced by ligands that used alternate mechanisms to control cell proliferation. Thus, incorporating systems structural analyses with quantitative chemical biology reveals how ligands can achieve distinct allosteric signaling outcomes through ERα.
Keywords:Breast cancer  Chemical biology  Crystal structure  Nuclear receptor  Signal transduction
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