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Quality Control for Single Cell Imaging Analytics Using Endocrine Disruptor-Induced Changes in Estrogen Receptor Expression.

Fabio StossiPankaj K SinghRagini M MistryHannah L JohnsonRadhika D DandekarMaureen G ManciniAdam T SzafranArvind U RaoMichael A Mancini
Published in: Environmental health perspectives (2022)
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.
Keyphrases
  • quality control
  • single cell
  • rna seq
  • estrogen receptor
  • high throughput
  • endoplasmic reticulum
  • high resolution
  • breast cancer cells
  • big data
  • human health
  • cell therapy
  • photodynamic therapy
  • deep learning