Simulating androgen receptor selection in designer yeast

雄激素受体 恩扎鲁胺 突变体 辅活化剂 交易激励 比卡鲁胺 前列腺癌 生物 雄激素 计算生物学 癌症研究 遗传学 基因 癌症 内分泌学 转录因子 激素
作者
Haoran Zhang,Lu Zhang,Xu Yipeng,Shaoyong Chen,Zhenyi Ma,Mingdong Yao,Fangyin Li,Bo Li,Ying-Jin Yuan
出处
期刊:Synthetic and Systems Biotechnology [Elsevier BV]
卷期号:7 (4): 1108-1116 被引量:2
标识
DOI:10.1016/j.synbio.2022.07.005
摘要

Androgen receptor (AR) mutation is closely associated with prostate cancer (PCa) and is one of the mechanisms of resistance to PCa therapies such as AR antagonists. Although sequencing technologies like next-generation sequencing (NGS) contributes to the high-throughput and precise detection of AR mutations carried by PCa patients, the lack of interpretations of these clinical genetic variants has still been a roadblock for PCa-targeted precision medicine. Here, we established a designer yeast reporter assay to simulate natural androgen receptor (AR) selection using AR antagonists. Yeast HIS3 gene transactivation was associated with the ligand-induced recruitment of steroid receptor coactivator-1 (SRC-1) by AR mutants, where yeast growth in histidine-free medium was determined as the outcome. This assay is applicable to determine a wide range of clinical AR mutants including those with loss of function relating to androgen insensitivity syndrome (AIS), and those associated with PCa conferring resistance to AR antagonists such as enzalutamide (ENZ), bicalutamide (BIC), and cyproterone acetate (CPA). One clinical AR mutant previously reported to confer ENZ-resistance, F877L, was found to confer partial resistance to CPA as well using designer yeast. Our simple and efficient assay can enable precise one-pot screening of AR mutants, providing a reference for tailored medicine.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
小二郎应助学术丁真采纳,获得10
1秒前
彭于晏应助李晓北采纳,获得10
1秒前
耶斯耶斯发布了新的文献求助10
1秒前
火枪手发布了新的文献求助10
1秒前
1秒前
THEGAOSIR完成签到,获得积分10
1秒前
科研通AI6.2应助六六采纳,获得10
2秒前
2秒前
鲨鱼辣椒完成签到,获得积分10
3秒前
3秒前
xiax03完成签到,获得积分10
3秒前
Cloud9发布了新的文献求助10
4秒前
许清禾发布了新的文献求助10
4秒前
科目三应助戈尔喵斯采纳,获得10
4秒前
5秒前
葱白完成签到,获得积分10
5秒前
栀初发布了新的文献求助10
5秒前
6秒前
chen发布了新的文献求助10
6秒前
ossinu发布了新的文献求助10
7秒前
7秒前
7秒前
受伤路灯发布了新的文献求助10
7秒前
岑凡完成签到,获得积分10
8秒前
sean发布了新的文献求助10
9秒前
上官若男应助DueDue0327采纳,获得10
9秒前
哈哈哈哈哈哈哈哈哈完成签到,获得积分10
9秒前
10秒前
11秒前
11秒前
科研通AI6.2应助xiao采纳,获得10
12秒前
贾山山发布了新的文献求助10
12秒前
guixun给guixun的求助进行了留言
13秒前
英姑应助余生采纳,获得10
13秒前
13秒前
nv发布了新的文献求助10
14秒前
脑洞疼应助Gao15264892采纳,获得10
14秒前
飘逸如柏发布了新的文献求助10
14秒前
14秒前
高分求助中
Clinical Epidemiology: The Essentials, 6e 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The Graphene Handbook (2019 Edition) 800
Adhesion Science: Principles & Practice 800
Signals, Systems, and Signal Processing 610
IEST-RP-CC018: Cleanroom Cleaning and Sanitization: Operating and Monitoring Procedures 600
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6541039
求助须知:如何正确求助?哪些是违规求助? 8331960
关于积分的说明 17855085
捐赠科研通 5647045
什么是DOI,文献DOI怎么找? 2936487
邀请新用户注册赠送积分活动 1912591
关于科研通互助平台的介绍 1773644