title: A systematic in silico mining of the mechanistic implications and therapeutic potentials of estrogen receptor (ER)-α in breast cancer.
abstract: Estrogen receptor (ER)-α has long been a potential target in ER-α-positive breast cancer therapeutics. In this study, we integrated ER-α-related bioinformatic data at different levels to systematically explore the mechanistic and therapeutic implications of ER-α. Firstly, we identified ER-α-interacting proteins and target genes of ER-α-regulating microRNAs (miRNAs), and analyzed their functional gene ontology (GO) annotations of those ER-α-associated proteins. In addition, we predicted ten consensus miRNAs that could target ER-α, and screened candidate traditional Chinese medicine (TCM) compounds that might hit diverse conformations of ER-α ligand binding domain (LBD). These findings may help to uncover the mechanistic implications of ER-α in breast cancer at a systematic level, and provide clues of miRNAs- and small molecule modulators- based strategies for future ER-α-positive breast cancer therapeutics.
authors.affiliation: School of Life Sciences and Key Laboratory of Bio-Resources and Eco-Environment, Ministry of Education, Sichuan University, Chengdu, China.
authors.forename: Xin
authors.initials: X
authors.lastname: Li
authors.affiliation: School of Life Sciences and Key Laboratory of Bio-Resources and Eco-Environment, Ministry of Education, Sichuan University, Chengdu, China.
authors.forename: Rong
authors.initials: R
authors.lastname: Sun
authors.affiliation: School of Life Sciences and Key Laboratory of Bio-Resources and Eco-Environment, Ministry of Education, Sichuan University, Chengdu, China.
authors.forename: Wanpeng
authors.initials: W
authors.lastname: Chen
authors.affiliation: School of Life Sciences and Key Laboratory of Bio-Resources and Eco-Environment, Ministry of Education, Sichuan University, Chengdu, China.
authors.forename: Bangmin
authors.initials: B
authors.lastname: Lu
authors.affiliation: School of Life Sciences and Key Laboratory of Bio-Resources and Eco-Environment, Ministry of Education, Sichuan University, Chengdu, China.
authors.forename: Xiaoyu
authors.initials: X
authors.lastname: Li
authors.affiliation: School of Life Sciences and Key Laboratory of Bio-Resources and Eco-Environment, Ministry of Education, Sichuan University, Chengdu, China.
authors.forename: Zijie
authors.initials: Z
authors.lastname: Wang
authors.affiliation: School of Life Sciences and Key Laboratory of Bio-Resources and Eco-Environment, Ministry of Education, Sichuan University, Chengdu, China.
authors.forename: Jinku
authors.initials: J
authors.lastname: Bao
mesh_terms: D000465:Algorithms; D001943:Breast Neoplasms / Q000188:drug therapy* / Q000235:genetics; D003198:Computer Simulation; D057225:Data Mining; D004365:Drugs, Chinese Herbal / Q000627:therapeutic use; D047628:Estrogen Receptor alpha / Q000378:metabolism*; D005260:Female; D015972:Gene Expression Regulation, Neoplastic; D063990:Gene Ontology; D006801:Humans; D035683:MicroRNAs / Q000378:metabolism; D056004:Molecular Dynamics Simulation; D058977:Molecular Sequence Annotation; D011485:Protein Binding; D017434:Protein Structure, Tertiary; D015203:Reproducibility of Results
chemical_list: D004365:Drugs, Chinese Herbal; C506487:ESR1 protein, human; D047628:Estrogen Receptor alpha; D035683:MicroRNAs