Evidence map›Paper›PMID 31932484›Full record

ArticleMolecular and cellular biology2020

Unraveling the Hierarchy of

Gergely Nagy, Bence Daniel, Ixchelt Cuaranta-Monroy, Laszlo Nagy

Open access · greenAbstract read
In one paragraph

Article in Molecular and cellular biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 44% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Motif grammar: The basis of the language of gene expression.Computational and structural biotechnology journal · 2020
    Review
  4. Review
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 2 institutions in 2 countries.

Gergely NagyDepartment of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Bence DanielJohns Hopkins University School of Medicine, Department of Medicine, Institute for Fundamental Biomedical Research, Johns Hopkins All Children's Hospital, Saint Petersburg, Florida, USA.
Ixchelt Cuaranta-MonroyDepartment of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Laszlo NagyDepartment of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary lnagy@jhmi.edu.
Johns Hopkins University · USUniversity of Debrecen · HU

Funding

PPARgamma as an architectural regulator of gene expression in endocrine signalingR01DK115924 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI NAGY, LASZLO · 2018 to 2021
$1.6M
NIDDK NIH HHS R01 DK115924
6 · The paper itself

Abstract

Peroxisome proliferator-activated receptor γ (PPARγ) is a nuclear receptor essential for adipocyte development and the maintenance of the alternatively polarized macrophage phenotype. Biochemical studies have established that as an obligate heterodimer with retinoid X receptor (RXR), PPARγ binds directly repeated nuclear receptor half sites spaced by one nucleotide (direct repeat 1 [DR1]). However, it has not been analyzed systematically and genome-wide how

Indexed as

AdipocytesAnimalsCells, CulturedChromatin ImmunoprecipitationDNA-Binding ProteinsHigh-Throughput Nucleotide SequencingMacrophagesMaleMiceMice, Inbred C57BLPhosphoproteinsPPAR gammaRepetitive Sequences, Nucleic AcidRetinoid X ReceptorsTranscription FactorsDNA-Binding Proteinsdown-regulator of transcription 1PhosphoproteinsPPAR gammaPparg protein, mouseRetinoid X ReceptorsTranscription Factorsadipocytesdirect repeat 1lineage-determining factorsmacrophagesnuclear receptorsPPARγRXR

Identifiers

PMID31932484
PMCPMC7076253
OpenAlexW2999597380

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.