Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas, USA.
Integrated Microscopy Core, Baylor College of Medicine, Houston, Texas, USA.
Environ Health Perspect. 2022 Feb;130(2):27008. doi: 10.1289/EHP9297. Epub 2022 Feb 15.
Diverse toxicants and mixtures that affect hormone responsive cells [endocrine disrupting chemicals (EDCs)] are highly pervasive in the environment and are directly linked to human disease. They often target the nuclear receptor family of transcription factors modulating their levels and activity. Many high-throughput assays have been developed to query such toxicants; however, single-cell analysis of EDC effects on endogenous receptors has been missing, in part due to the lack of quality control metrics to reproducibly measure cell-to-cell variability in responses.
We began by developing single-cell imaging and informatic workflows to query whether the single cell distribution of the estrogen (ER), used as a model system, can be used to measure effects of EDCs in a sensitive and reproducible manner.
We used high-throughput microscopy, coupled with image analytics to measure changes in single cell ER nuclear levels on treatment with toxicants, over a large number of biological and technical replicates.
We developed a two-tiered quality control pipeline for single cell analysis and tested it against a large set of biological replicates, and toxicants from the EPA and Agency for Toxic Substances and Disease Registry lists. We also identified a subset of potentially novel EDCs that were active only on the endogenous ER level and activity as measured by single molecule RNA fluorescence hybridization (RNA FISH).
We demonstrated that the distribution of ER levels per cell, and the changes upon chemical challenges were remarkably stable features; and importantly, these features could be used for quality control and identification of endocrine disruptor toxicants with high sensitivity. When coupled with orthogonal assays, ER single cell distribution is a valuable resource for high-throughput screening of environmental toxicants. https://doi.org/10.1289/EHP9297.
影响激素反应细胞的多种毒物和混合物[内分泌干扰化学物质(EDCs)]在环境中广泛存在,与人类疾病直接相关。它们通常靶向核受体转录因子家族,调节其水平和活性。已经开发了许多高通量测定法来查询此类毒物;然而,由于缺乏质量控制指标来可重复地测量细胞间反应的变异性,因此缺乏对 EDC 对内源性受体影响的单细胞分析。
我们首先开发了单细胞成像和信息学工作流程,以查询雌激素(ER)的单细胞分布是否可用于以敏感和可重复的方式测量 EDC 的作用。
我们使用高通量显微镜,结合图像分析,在大量生物学和技术重复中测量有毒物质处理后单个细胞 ER 核水平的变化。
我们为单细胞分析开发了两级质量控制管道,并针对大量生物学重复以及 EPA 和疾病控制与预防中心毒性物质和疾病登记处列出的有毒物质对其进行了测试。我们还确定了一组潜在的新型 EDC,它们仅在单个分子 RNA 荧光杂交(RNA FISH)测量的内源性 ER 水平和活性上具有活性。
我们证明了每个细胞中 ER 水平的分布以及化学挑战后的变化是非常稳定的特征;重要的是,这些特征可用于进行质量控制和识别具有高灵敏度的内分泌干扰物毒物。当与正交测定法结合使用时,ER 单细胞分布是环境毒物高通量筛选的有价值资源。https://doi.org/10.1289/EHP9297。