Quality Control for Single Cell Imaging Analytics Using Endocrine DisruptorInduced Changes in Estrogen Receptor Expression.

Autor: Stossi, Fabio1,2,3 stossi@bcm.edu, Singh, Pankaj K.3,4, Mistry, Ragini M.3, Johnson, Hannah L.2,3, Dandekar, Radhika D.2, Mancini, Maureen G.1, Szafran, Adam T.1, Rao, Arvind U.3,5, Mancini, Michael A.1,2,3,4,6,7 mancini@bcm.edu
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Zdroj: Environmental Health Perspectives. Feb2022, Vol. 130 Issue 2, p027008-1-027008-14. 14p. 1 Color Photograph, 2 Charts, 5 Graphs.
Abstrakt: BACKGROUND: 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. OBJECTIVE: We began by developing single-cell imaging and informatic workflows to query whether the single cell distribution of the estrogen receptor-a (ER), used as a model system, can be used to measure effects of EDCs in a sensitive and reproducible manner. METHODS: We used high-throughput microscopy, coupled with image analytics to measure changes in single cell ER nuclear levels on treatment with ~100 toxicants, over a large number of biological and technical replicates. RESULTS: 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 in situ hybridization (RNA FISH). DISCUSSION: 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, ERsingle cell distribution is a valuable resource for high-throughput screening of environmental toxicants. [ABSTRACT FROM AUTHOR]
Databáze: GreenFILE
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