Evidence map›Paper›PMID 34323617›Full record

ArticleEnvironmental health perspectives2021

A Data-Driven Transcriptional Taxonomy of Adipogenic Chemicals to Identify White and Brite Adipogens.

Stephanie Kim, Eric Reed, Stefano Monti, Jennifer J Schlezinger

Open access · diamondAbstract read
In one paragraph

Article in Environmental health perspectives, 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
1.3field-weighted citation impact, top 22% 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, 15 citations in OpenAlex.

  1. Optical sorting: past, present and future.Light, science & applications · 2025
    Review
  2. The herbicide acetochlor causes lipid peroxidation by inhibition of glutathione peroxidase activity.Toxicological sciences : an official journal of the Society of Toxicology · 2024
    Article
  3. Article
  4. Review
  5. 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

4 authors at 1 institution in 1 country.

Stephanie KimBoston University Superfund Research Program, Boston University, Massachusetts, USA.
Eric ReedBoston University Superfund Research Program, Boston University, Massachusetts, USA.
Stefano MontiBoston University Superfund Research Program, Boston University, Massachusetts, USA.
Jennifer J SchlezingerBoston University Superfund Research Program, Boston University, Massachusetts, USA.
Boston University · US

Funding

Training CoreP42ES007381 · NIEHS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI SHERR, DAVID H · 1995 to 2019
$46.1M
Multiscale analysis of metabolic inflammation as a driver of breast cancerU01CA243004 · NCI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI DENIS, GERALD V, EMILI, ANDREW · 2020 to 2024
$2.8M
NCI NIH HHS U01 CA243004NIEHS NIH HHS P42 ES007381
6 · The paper itself

Abstract

backgroundChemicals in disparate structural classes activate specific subsets of the transcriptional programs of peroxisome proliferator-activated receptor-

objectivesOur objectives were to

methods3T3-L1 cells were differentiated in the presence of 76 chemicals (negative controls, nuclear receptor ligands known to influence adipocyte biology, potential environmental

resultsWe used lipid accumulation and RNA-Seq data to develop a classification system that DISCUSSION: A novel classification procedure accurately identified environmental chemicals as

conclusionThe computational and experimental framework has general applicability to the classification of as-yet uncharacterized chemicals. https://doi.org/10.1289/EHP6886.

Indexed as

AdipogenesisPPAR gamma3T3-L1 CellsAdipocytesAnimalsCell DifferentiationMicePPAR gamma

Identifiers

PMID34323617
PMCPMC8320370
OpenAlexW3184372058

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.