Evidence map›Paper›PMID 32392092›Full record

ArticleSLAS discovery : advancing life sciences R & D2020

A Mechanistic High-Content Analysis Assay Using a Chimeric Androgen Receptor That Rapidly Characterizes Androgenic Chemicals.

Adam T Szafran, Michael J Bolt, Caroline E Obkirchner, Maureen G Mancini, Christine Helsen, Frank Claessens, Fabio Stossi, 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 47% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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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

8 authors at 3 institutions in 2 countries.

Adam T SzafranMolecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA.
Michael J BoltCenter for Translational Cancer Research, Institute of Biosciences & Technology, Texas A&M University Health Science Center, Houston, TX, USA.
Caroline E ObkirchnerGCC Center for Advanced Microscopy and Image Informatics, Houston, TX, USA.
Maureen G ManciniMolecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA.
Christine HelsenMolecular Endocrinology Laboratory, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium, Europe.
Frank ClaessensMolecular Endocrinology Laboratory, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium, Europe.
Fabio StossiMolecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA.
Michael A ManciniMolecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA.
Advanced Imaging Research (United States) · USKU Leuven · BEBaylor College of Medicine · 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
NCI NIH HHS P30 CA125123NIDDK NIH HHS P30 DK056338NIEHS NIH HHS P42 ES027704
6 · The paper itself

Abstract

Human health is at risk from environmental exposures to a wide range of chemical toxicants and endocrine-disrupting chemicals (EDCs). As part of understanding this risk, the U.S. Environmental Protection Agency (EPA) has been pursuing new high-throughput in vitro assays and computational models to characterize EDCs. EPA models have incorporated our high-content analysis-based green fluorescent protein estrogen receptor (GFP-ER): PRL-HeLa assay, which allows direct visualization of ER binding to DNA regulatory elements. Here, we characterize a modified functional assay based on the stable expression of a chimeric androgen receptor (ARER), wherein a region containing the native AR DNA-binding domain (DBD) was replaced with the ERα DBD (amino acids 183-254). We demonstrate that the AR agonist dihydrotestosterone induces GFP-ARER nuclear translocation, PRL promoter binding, and transcriptional activity at physiologically relevant concentrations (<1 nM). In contrast, the AR antagonist bicalutamide induces only nuclear translocation of the GFP-ARER receptor (at μM concentrations). Estradiol also fails to induce visible chromatin binding, indicating androgen specificity. In a screen of reference chemicals from the EPA and the Agency for Toxic Substances and Disease Registry, the GFP-ARER cell model identified and mechanistically grouped activity by known (anti-)androgens based on the ability to induce nuclear translocation and/or chromatin binding. Finally, the cell model was used to identify potential (anti-)androgens in environmental samples in collaboration with the Houston Ship Channel/Galveston Bay Texas A&M University EPA Superfund Research Program. Based on these data, the chromatin-binding, in vitro assay-based GFP-ARER model represents a selective tool for rapidly identifying androgenic activity associated with drugs, chemicals, and environmental samples.

Indexed as

DihydrotestosteroneDNA-Binding ProteinsEndocrine DisruptorsEnvironmental ExposureEstrogen Receptor alphaGreen Fluorescent ProteinsHeLa CellsHigh-Throughput Screening AssaysHumansReceptors, AndrogenRecombinant Fusion ProteinsUnited StatesAR protein, humanDihydrotestosteroneDNA-Binding ProteinsEndocrine DisruptorsESR1 protein, humanEstrogen Receptor alphaGreen Fluorescent ProteinsReceptors, AndrogenRecombinant Fusion Proteinsandrogen receptorandrogenschromatin bindingendocrine-disrupting chemicalshigh-content analysis

Identifiers

PMID32392092
PMCPMC7477889
OpenAlexW3023395636

What OpenQuestion holds

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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.