Evidence map›Paper›PMID 32552291›Full record

ArticleSLAS discovery : advancing life sciences R & D2020

Single-Cell Distribution Analysis of AR Levels by High-Throughput Microscopy in Cell Models: Application for Testing Endocrine-Disrupting Chemicals.

Fabio Stossi, Ragini M Mistry, Pankaj K Singh, Hannah L Johnson, Maureen G Mancini, Adam T Szafran, Michael A Mancini

Open access · bronzeAbstract read
In one paragraph

Article in SLAS discovery : advancing life sciences R & D, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 39% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Fabio StossiDepartment of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA.
Ragini M MistryGCC Center for Advanced Microscopy and Image Informatics, Houston, TX, USA.
Pankaj K SinghGCC Center for Advanced Microscopy and Image Informatics, Houston, TX, USA.
Hannah L JohnsonIntegrated Microscopy Core, Baylor College of Medicine, Houston, TX, USA.
Maureen G ManciniDepartment of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA.
Adam T SzafranDepartment of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA.
Michael A ManciniDepartment of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA.
Advanced Imaging Research (United States) · USBaylor College of Medicine · USTexas A&M University · US

Funding

Tumor BiologyP30CA125123 · NCI · BAYLOR COLLEGE OF MEDICINE · PI Michael M Ittmann · 2007 to 2026
$73.9M
Tissue Analysis & Molecular Imaging CoreP30DK056338 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI James Versalovic · 2001 to 2026
$28.3M
Single cell, multi-parametric high throughput platform to classify endocrine disruptor potential of mixturesP42ES027704 · NIEHS · TEXAS A&M UNIVERSITY · PI Weihsueh A Chiu · 2017 to 2026
$21.2M
Translational Research Support CoreP30ES030285 · NIEHS · BAYLOR COLLEGE OF MEDICINE · PI Casey W Wright · 2019 to 2026
$14.7M
NCI NIH HHS P30 CA125123NIDDK NIH HHS P30 DK056338NIEHS NIH HHS P30 ES030285NIEHS NIH HHS P42 ES027704
6 · The paper itself

Abstract

Cell-to-cell variation of protein expression in genetically homogeneous populations is a common biological trait often neglected during analysis of high-throughput (HT) screens and is rarely used as a metric to characterize chemicals. We have captured single-cell distributions of androgen receptor (AR) nuclear levels after perturbations as a means to evaluate assay reproducibility and characterize a small subset of chemicals. AR, a member of the nuclear receptor family of transcription factors, is the central regulator of male reproduction and is involved in many pathophysiological processes. AR protein levels and nuclear localization often increase following ligand binding, with dihydrotestosterone (DHT) being the natural agonist. HT AR immunofluorescence imaging was used in multiple cell lines to define single-cell nuclear values extracted from thousands of cells per condition treated with DHT or DMSO (control). Analysis of numerous biological replicates led to a quality control metric that takes into account the distribution of single-cell data, and how it changes upon treatments. Dose-response experiments across several cell lines showed a large range of sensitivity to DHT, prompting us to treat selected cell lines with 45 Environmental Protection Agency (EPA)-provided chemicals that include many endocrine-disrupting chemicals (EDCs); data from six of the compounds were then integrated with orthogonal assays. Our comprehensive results indicate that quantitative single-cell distribution analysis of AR protein levels is a valid method to detect the potential androgenic and antiandrogenic actions of environmentally relevant chemicals in a sensitive and reproducible manner.

Indexed as

AndrogensDihydrotestosteroneDimethyl SulfoxideEndocrine DisruptorsGene Expression RegulationHigh-Throughput Screening AssaysHumansMicroscopyReceptors, AndrogenSingle-Cell AnalysisAndrogensAR protein, humanDihydrotestosteroneDimethyl SulfoxideEndocrine DisruptorsReceptors, Androgenandrogen receptorendocrine disruptor chemicalshigh-throughput microscopy

Identifiers

PMID32552291
PMCPMC7430197
OpenAlexW3036479363

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.