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Quality Control for Single Cell Imaging Analytics Using Endocrine Disruptor-Induced Changes in Estrogen Receptor Expression.
Stossi, Fabio; Singh, Pankaj K; Mistry, Ragini M; Johnson, Hannah L; Dandekar, Radhika D; Mancini, Maureen G; Szafran, Adam T; Rao, Arvind U; Mancini, Michael A.
Affiliation
  • Stossi F; Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas, USA.
  • Singh PK; Integrated Microscopy Core, Baylor College of Medicine, Houston, Texas, USA.
  • Mistry RM; GCC Center for Advanced Microscopy and Image Informatics, Houston, Texas, USA.
  • Johnson HL; GCC Center for Advanced Microscopy and Image Informatics, Houston, Texas, USA.
  • Dandekar RD; Center for Translational Cancer Research, Institute of Biosciences and Technology, Texas A&M University, Houston, Texas, USA.
  • Mancini MG; GCC Center for Advanced Microscopy and Image Informatics, Houston, Texas, USA.
  • Szafran AT; Integrated Microscopy Core, Baylor College of Medicine, Houston, Texas, USA.
  • Rao AU; GCC Center for Advanced Microscopy and Image Informatics, Houston, Texas, USA.
  • Mancini MA; Integrated Microscopy Core, Baylor College of Medicine, Houston, Texas, USA.
Environ Health Perspect ; 130(2): 27008, 2022 02.
Article in En | MEDLINE | ID: mdl-35167326
ABSTRACT

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-α (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, ER single cell distribution is a valuable resource for high-throughput screening of environmental toxicants. https//doi.org/10.1289/EHP9297.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Endocrine Disruptors Type of study: Prognostic_studies Language: En Journal: Environ Health Perspect Year: 2022 Document type: Article Affiliation country: Estados Unidos Publication country: EEUU / ESTADOS UNIDOS / ESTADOS UNIDOS DA AMERICA / EUA / UNITED STATES / UNITED STATES OF AMERICA / US / USA

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Endocrine Disruptors Type of study: Prognostic_studies Language: En Journal: Environ Health Perspect Year: 2022 Document type: Article Affiliation country: Estados Unidos Publication country: EEUU / ESTADOS UNIDOS / ESTADOS UNIDOS DA AMERICA / EUA / UNITED STATES / UNITED STATES OF AMERICA / US / USA