Evidence map›Paper›PMID 35210493›Full record

ArticleScientific reports2022

Comprehensive assessment of NR ligand polypharmacology by a multiplex reporter NR assay.

Alexander Medvedev, Matt Moeser, Liubov Medvedeva, Elena Martsen, Alexander Granick, Lydia Raines, Kristen Gorman, Benjamin Lin, Ming Zeng, Keith A Houck and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Burnt Plastic (Pyroplastic) from the M/VEnvironment & health (Washington, D.C.) · 2025
    Article
  6. 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

11 authors at 2 institutions in 1 country.

Alexander MedvedevAttagene Inc, Research Triangle Park, NC, USA.
Matt MoeserAttagene Inc, Research Triangle Park, NC, USA.
Liubov MedvedevaAttagene Inc, Research Triangle Park, NC, USA.
Elena MartsenAttagene Inc, Research Triangle Park, NC, USA.
Alexander GranickAttagene Inc, Research Triangle Park, NC, USA.
Lydia RainesAttagene Inc, Research Triangle Park, NC, USA.
Kristen GormanAttagene Inc, Research Triangle Park, NC, USA.
Benjamin LinAttagene Inc, Research Triangle Park, NC, USA.
Ming ZengAttagene Inc, Research Triangle Park, NC, USA.
Keith A HouckUS Environmental Protection Agency, Research Triangle Park, NC, USA.
Sergei S MakarovAttagene Inc, Research Triangle Park, NC, USA. smak@attagene.com.
Research Triangle Park Foundation · USAttagene · US

Funding

Predicting DILI liability by transcription factor profilingR44GM125469 · NIGMS · ATTAGENE, INC. · PI MAKAROV, SERGEI S · 2017 to 2019
$3.0M
NIGMS NIH HHS R44 GM125469NIH HHS 1R44GM125469
6 · The paper itself

Abstract

Nuclear receptors (NR) are ligand-modulated transcription factors that regulate multiple cell functions and thus represent excellent drug targets. However, due to a considerable NR structural homology, NR ligands often interact with multiple receptors. Here, we describe a multiplex reporter assay (the FACTORIAL NR) that enables parallel assessment of NR ligand activity across all 48 human NRs. The assay comprises one-hybrid GAL4-NR reporter modules transiently transfected into test cells. To evaluate the reporter activity, we assessed their RNA transcripts. We used a homogeneous RNA detection approach that afforded equal detection efficacy and permitted the multiplex detection in a single-well format. For validation, we examined a panel of selective NR ligands and polypharmacological agonists and antagonists of the progestin, estrogen, PPAR, ERR, and ROR receptors. The assay produced highly reproducible NR activity profiles (r > 0.96) permitting quantitative assessment of individual NR responses. The inferred EC50 values agreed with the published data. The assay showed excellent quality (<Z'>  = 0.73) and low variability (<CV> = 7.2%). Furthermore, the assay permitted distinguishing direct and non-direct NR responses to ligands. Therefore, the FACTORIAL NR enables comprehensive evaluation of NR ligand polypharmacology.

Indexed as

LigandsBiological AssayGenes, ReporterHumansMass ScreeningPolypharmacologyProtein BindingReceptors, Cytoplasmic and NuclearLigandsReceptors, Cytoplasmic and Nuclear

Identifiers

PMID35210493
PMCPMC8873415
OpenAlexW4221025073

What OpenQuestion holds

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LicenceCC BY
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.