Gyuho Choi, Hyunkoo Kang, Jung-Soo Suh, Haksoo Lee, Kiseok Han, Gaeun Yoo, Hyejin Jo, Yeong Min Shin, Tae-Jin Kim, BuHyun Youn
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To enhance the performance of these biosensors, we determined optimal donor and acceptor locations using computational analysis. Additionally, employing HaloTag as the acceptor and incorporating the P2A peptide as a linker yielded the highest sensitivity among the prototypes. We also established stable cell lines to screen potential ER dimerization inducers among estrogen analogs (EAs). The EAs were categorized through cross-comparison of ER dimer responses, utilizing EC values derived from a standard curve established with 17β-estradiol. We successfully classified 26 of 72 EAs, identifying which ER dimerization types they induce. Overall, our study underscores the effectiveness of the optimized ERDDB for detecting ER dimerization and its applicability in screening and identifying eEDCs.</p>","PeriodicalId":93902,"journal":{"name":"Biomaterials research","volume":"28 ","pages":"0010"},"PeriodicalIF":8.1000,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10923609/pdf/","citationCount":"0","resultStr":"{\"title\":\"Novel Estrogen Receptor Dimerization BRET-Based Biosensors for Screening Estrogenic Endocrine-Disrupting Chemicals.\",\"authors\":\"Gyuho Choi, Hyunkoo Kang, Jung-Soo Suh, Haksoo Lee, Kiseok Han, Gaeun Yoo, Hyejin Jo, Yeong Min Shin, Tae-Jin Kim, BuHyun Youn\",\"doi\":\"10.34133/bmr.0010\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The increasing prevalence of endocrine-disrupting chemicals (EDCs) in our environment is a growing concern, with numerous studies highlighting their adverse effects on the human endocrine system. 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引用次数: 0
摘要
干扰内分泌的化学品(EDCs)在我们的环境中越来越普遍,引起了越来越多的关注,许多研究都强调了它们对人体内分泌系统的不利影响。在 EDCs 中,雌激素类内分泌干扰化学物(eEDCs)是一种外源化合物,通过干扰雌激素受体(ER)的同源(α/α、β/β)或异源(α/β)二聚化来扰乱雌激素的功能。迄今为止,还缺乏一种全面筛选活细胞中影响所有ER二聚体形式的eEDCs的方法。在此,我们开发了基于生物发光共振能量转移的ER二聚化检测生物传感器(ERDDBs),用于二聚化检测和eEDC的快速鉴定。为了提高这些生物传感器的性能,我们通过计算分析确定了最佳供体和受体位置。此外,采用 HaloTag 作为受体并加入 P2A 肽作为连接体,在各种原型中灵敏度最高。我们还建立了稳定的细胞系来筛选雌激素类似物(EAs)中潜在的ER二聚化诱导剂。通过交叉比较ER二聚体反应,利用从17β-雌二醇标准曲线中得出的EC值对EA进行分类。我们成功地对 72 种 EAs 中的 26 种进行了分类,确定了它们诱导的 ER 二聚化类型。总之,我们的研究强调了优化的ERDDB在检测ER二聚化方面的有效性及其在筛选和鉴定eEDC方面的适用性。
The increasing prevalence of endocrine-disrupting chemicals (EDCs) in our environment is a growing concern, with numerous studies highlighting their adverse effects on the human endocrine system. Among the EDCs, estrogenic endocrine-disrupting chemicals (eEDCs) are exogenous compounds that perturb estrogenic hormone function by interfering with estrogen receptor (ER) homo (α/α, β/β) or hetero (α/β) dimerization. To date, a comprehensive screening approach for eEDCs affecting all ER dimer forms in live cells is lacking. Here, we developed ER dimerization-detecting biosensors (ERDDBs), based on bioluminescence resonance energy transfer, for dimerization detection and rapid eEDC identification. To enhance the performance of these biosensors, we determined optimal donor and acceptor locations using computational analysis. Additionally, employing HaloTag as the acceptor and incorporating the P2A peptide as a linker yielded the highest sensitivity among the prototypes. We also established stable cell lines to screen potential ER dimerization inducers among estrogen analogs (EAs). The EAs were categorized through cross-comparison of ER dimer responses, utilizing EC values derived from a standard curve established with 17β-estradiol. We successfully classified 26 of 72 EAs, identifying which ER dimerization types they induce. Overall, our study underscores the effectiveness of the optimized ERDDB for detecting ER dimerization and its applicability in screening and identifying eEDCs.