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Quality Control for Single Cell Imaging Analytics Using Endocrine Disruptor-Induced Changes in Estrogen Receptor
Fabio Stossi1,2,3, Pankaj K Singh3,4, Ragini M Mistry3
1Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas, USA.
Environmental Health Perspectives
|February 15, 2022
Summary
Single-cell analysis of estrogen receptor (ER) distribution effectively identifies environmental endocrine disrupting chemicals (EDCs). This method provides sensitive, reproducible quality control for high-throughput screening of toxicants.
Area of Science:
- Environmental Health Sciences
- Toxicology
- Molecular Biology
Background:
- Endocrine disrupting chemicals (EDCs) are pervasive environmental toxicants linked to human disease.
- EDCs often target nuclear receptors, modulating their activity and levels.
- Single-cell analysis of EDC effects on endogenous receptors has been limited by a lack of quality control metrics.
Purpose of the Study:
- To develop and validate single-cell imaging and informatic workflows for querying EDC effects.
- To assess the utility of single-cell estrogen receptor (ER) distribution as a sensitive and reproducible measure of EDC activity.
- To establish quality control metrics for single-cell analysis of EDCs.
Main Methods:
- High-throughput microscopy and image analytics were used to measure single-cell ER nuclear levels.
- A two-tiered quality control pipeline was developed for single-cell analysis.
- The pipeline was tested against numerous biological replicates and toxicants from regulatory lists.
Main Results:
- Single-cell ER distribution and its changes upon chemical exposure proved to be stable and reproducible features.
- The developed method demonstrated high sensitivity in identifying endocrine disruptor toxicants.
- Novel EDCs active solely on endogenous ER were identified using single-molecule RNA FISH.
Conclusions:
- Single-cell ER distribution analysis is a valuable tool for quality control in high-throughput screening of environmental toxicants.
- This approach enables sensitive and reproducible identification of EDCs.
- Coupled with orthogonal assays, it serves as a robust resource for environmental toxicant screening.

