Evidence map›Paper›PMID 33405908›Full record

ArticleChemical research in toxicology2021

A Gene Expression Biomarker Identifies Chemical Modulators of Estrogen Receptor α in an MCF-7 Microarray Compendium.

John Rooney, Natalia Ryan, Jie Liu, René Houtman, Rinie van Beuningen, Jui-Hua Hsieh, Gregory Chang, Shiuan Chen, J Christopher Corton

Open access · greenAbstract read
In one paragraph

Article in Chemical research in toxicology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 16 citations in OpenAlex.

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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

9 authors at 4 institutions in 2 countries.

John RooneyCenter for Computational Toxicology and Exposure, US-EPA, Research Triangle Park, North Carolina 27711, United States.
Natalia RyanCenter for Computational Toxicology and Exposure, US-EPA, Research Triangle Park, North Carolina 27711, United States.
Jie LiuCenter for Computational Toxicology and Exposure, US-EPA, Research Triangle Park, North Carolina 27711, United States.
René HoutmanPamGene International B.V., Den Bosch 5211, The Netherlands.
Rinie van BeuningenPamGene International B.V., Den Bosch 5211, The Netherlands.
Jui-Hua HsiehKelly Government Solutions, Research Triangle Park, North Carolina 27711,United States.ORCID 0000-0003-1620-1571
Gregory ChangDepartment of Cancer Biology, Beckman Research Institute of the City of Hope, Duarte, California 91010, United States.
Shiuan ChenDepartment of Cancer Biology, Beckman Research Institute of the City of Hope, Duarte, California 91010, United States.
J Christopher CortonCenter for Computational Toxicology and Exposure, US-EPA, Research Triangle Park, North Carolina 27711, United States.ORCID 0000-0002-6197-2036
Environmental Protection Agency · USCity of Hope · USPamGene (Netherlands) · NLKelly Services (United States) · US

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Identification of chemicals that affect hormone-regulated systems will help to predict endocrine disruption. In our previous study, a 46 gene biomarker was found to be an accurate predictor of estrogen receptor (ER) α modulation in chemically treated MCF-7 cells. Here, potential ERα modulators were identified using the biomarker by screening a microarray compendium consisting of ∼1600 gene expression comparisons representing exposure to ∼1200 chemicals. A total of ∼170 chemicals were identified as potential ERα modulators. In the Connectivity Map 2.0 collection, 75 and 39 chemicals were predicted to activate or suppress ERα, and they included 12 and six known ERα agonists and antagonists/selective ERα modulators, respectively. Nineteen and eight of the total number were also identified as active in an ERα transactivation assay carried out in an MCF-7-derived cell line used to screen the Tox21 10K chemical library in agonist or antagonist modes, respectively. Chemicals predicted to modulate ERα in MCF-7 cells were examined further using global and targeted gene expression in wild-type and ERα-null cells, transactivation assays, and cell-free ERα coregulator interaction assays. Environmental chemicals classified as weak and very weak agonists were confirmed to activate ERα including apigenin, kaempferol, and oxybenzone. Novel activators included digoxin, nabumetone, ivermectin, and six progestins. Novel suppressors included emetine, mifepristone, niclosamide, and proscillaridin. Our strategy will be useful to identify environmentally relevant ERα modulators in future high-throughput transcriptomic screens.

Indexed as

Biomarkers, TumorEstrogen Receptor alphaEstrogen Receptor ModulatorsFemaleGene Expression ProfilingHumansMCF-7 CellsTumor Cells, CulturedBiomarkers, TumorESR1 protein, humanEstrogen Receptor alphaEstrogen Receptor Modulators

Identifiers

PMID33405908
PMCPMC10683854
OpenAlexW3118295845

What OpenQuestion holds

Textmetadata
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.