Evidence map›Paper›PMID 35167097›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Analysis of Enhancers and Transcriptional Networks in Thermogenic Adipocytes.

Anne Loft, Maja Worm Andersen, Jesper Grud Skat Madsen, Susanne Mandrup

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.9field-weighted citation impact, top 30% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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.

Anne LoftDepartment of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark. anlo@bmb.sdu.dk.
Maja Worm AndersenDepartment of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark.
Jesper Grud Skat MadsenDepartment of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark.
Susanne MandrupDepartment of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark. s.mandrup@bmb.sdu.dk.
University of Southern Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcription factor (TF) networks orchestrate the regulation of gene programs in mammalian cells, including white and brown adipocytes. In this protocol, we outline how genomics and transcriptomics data can be integrated to infer causal TFs of a given cellular response or cell type using "Integrated analysis of Motif Activity and Gene Expression changes of transcription factors" (IMAGE). Here, we show how key regulatory TFs controlling white and brown adipocyte gene programs can be predicted from chromatin accessibility and RNA-seq data. Furthermore, we demonstrate how information about target sites and target genes of the predicted key regulators can be integrated to propose testable hypotheses regarding the role and mechanisms of TFs.

Indexed as

ChromatinGene Regulatory NetworksAdipocytesAnimalsGene Expression RegulationTranscription FactorsChromatinTranscription FactorsChromatin accessibilityEnhancer activityGenome-wide sequencingIMAGEMotif activityTranscriptional regulationTranscription factor

Identifiers

PMID35167097
OpenAlexW4213269023

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.