Platani Melpomeni, Jiang Hao, Davidson Lindsay, Hariharan Santosh, Doyonnas Regis, Lamond Angus I, Swedlow Jason R
Molecular Cell and Developmental Biology, School of Life Sciences, University of Dundee, Dundee, Scotland, United Kingdom.
Human Pluripotent Stem Cell Facility, School of Life Sciences, University of Dundee, Dundee, Scotland, United Kingdom.
PLoS One. 2025 May 30;20(5):e0323953. doi: 10.1371/journal.pone.0323953. eCollection 2025.
We have developed a laboratory-based drug screening platform that uses a cohort of human induced pluripotent stem cell (hiPSC) lines, derived from different donors, to predict variable drug responses of potential clinical relevance. This builds on recent findings that pluripotent hiPSC lines express a broad repertoire of gene transcripts and proteins, whose expression levels reflect the genetic identity of the donor. We demonstrate that a cohort of hiPSC lines from different donors can be screened efficiently in their pluripotent state, using high-throughput Cell Painting assays. Variable phenotypic responses between hiPSC lines were detected with a wide range of clinically approved drugs, in use across multiple disease areas. Furthermore, information on mechanisms of drug-cell interactions underlying the observed variable responses was derived by using quantitative proteomic analysis to compare sets of hiPSC lines that had been stratified objectively, based upon variable response, Cell Painting data. We propose that information derived from comparative drug screening, using curated libraries of hiPSC lines from different donors, can help to improve the delivery of safe new drugs suitable for a broad range of genetic backgrounds and sexual diversity within human populations.
我们开发了一个基于实验室的药物筛选平台,该平台使用来自不同供体的一组人类诱导多能干细胞(hiPSC)系,来预测具有潜在临床相关性的可变药物反应。这基于最近的研究发现,即多能性hiPSC系表达广泛的基因转录本和蛋白质,其表达水平反映了供体的基因特征。我们证明,使用高通量细胞成像分析,可以在其多能状态下有效地筛选来自不同供体的一组hiPSC系。在多种疾病领域使用的多种临床批准药物检测到了hiPSC系之间的可变表型反应。此外,通过使用定量蛋白质组学分析来比较基于可变反应、细胞成像数据进行客观分层的hiPSC系组,得出了观察到的可变反应背后的药物-细胞相互作用机制的信息。我们提出,使用来自不同供体的hiPSC系的精选文库进行比较药物筛选所获得的信息,有助于改善适合广泛遗传背景和人类群体中性取向多样性的安全新药的研发。