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- W2022159715 abstract "Receptor levels are a key mechanism by which cells regulate their response to stimuli. The levels of estrogen receptor-α (ERα) impact breast cancer cell proliferation and are used to predict prognosis and sensitivity to endocrine therapy. Despite the clinical application of this information, it remains unclear how different cellular processes interact as a system to control ERα levels. To address this question, experimental results from the ERα-positive human breast cancer cell line (MCF-7) treated with 17-β-estradiol or vehicle control were used to develop a mass-action kinetic model of ERα regulation. Model analysis determined that RNA dynamics could be captured through phosphorylated ERα (pERα)-dependent feedback on transcription. Experimental analysis confirmed that pERα-S118 binds to the estrogen receptor-1 (ESR1) promoter, suggesting that pERα can feedback on ESR1 transcription. Protein dynamics required a separate mechanism in which the degradation rate for pERα was 8.3-fold higher than nonphosphor..." @default.
- W2022159715 created "2016-06-24" @default.
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- W2022159715 date "2015-02-03" @default.
- W2022159715 modified "2023-09-27" @default.
- W2022159715 title "A kinetic model identifies phosphorylated estrogen receptor‐α (ERα) as a critical regulator of ERα dynamics in breast cancer" @default.
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- W2022159715 doi "https://doi.org/10.1096/fj.14-265637" @default.
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