Evidence map›Paper›PMID 30544251›Full record

ArticleNucleic acids research2019

Temporal enhancer profiling of parallel lineages identifies AHR and GLIS1 as regulators of mesenchymal multipotency.

Deborah Gérard, Florian Schmidt, Aurélien Ginolhac, Martine Schmitz, Rashi Halder, Peter Ebert, Marcel H Schulz, Thomas Sauter, Lasse Sinkkonen

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.1field-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

18 citing papers in PubMed, 30 citations in OpenAlex.

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  6. TCDD alters essential transcriptional regulators of osteogenic differentiation in multipotent mesenchymal stem cells.Toxicological sciences : an official journal of the Society of Toxicology · 2023
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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 2 institutions in 2 countries.

Deborah GérardLife Sciences Research Unit, University of Luxembourg, L-4367 Belvaux, Luxembourg.
Florian SchmidtExcellence Cluster for Multimodal Computing and Interaction, Saarland Informatics Campus, 66123 Saarbrücken, Germany.
Aurélien GinolhacLife Sciences Research Unit, University of Luxembourg, L-4367 Belvaux, Luxembourg.
Martine SchmitzMolecular Disease Mechanisms Group, Life Sciences Research Unit, University of Luxembourg, L-4367 Belvaux, Luxembourg.
Rashi HalderLuxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, L-4362, Luxembourg.
Peter EbertComputational Biology & Applied Algorithmics, Max Planck Institute for Informatics, Saarland Informatics Campus, 66123 Saarbrücken, Germany.
Marcel H SchulzExcellence Cluster for Multimodal Computing and Interaction, Saarland Informatics Campus, 66123 Saarbrücken, Germany.
Thomas SauterLife Sciences Research Unit, University of Luxembourg, L-4367 Belvaux, Luxembourg.
Lasse SinkkonenLife Sciences Research Unit, University of Luxembourg, L-4367 Belvaux, Luxembourg.
University of Luxembourg · LUMax Planck Institute for Informatics · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Temporal data on gene expression and context-specific open chromatin states can improve identification of key transcription factors (TFs) and the gene regulatory networks (GRNs) controlling cellular differentiation. However, their integration remains challenging. Here, we delineate a general approach for data-driven and unbiased identification of key TFs and dynamic GRNs, called EPIC-DREM. We generated time-series transcriptomic and epigenomic profiles during differentiation of mouse multipotent bone marrow stromal cell line (ST2) toward adipocytes and osteoblasts. Using our novel approach we constructed time-resolved GRNs for both lineages and identifed the shared TFs involved in both differentiation processes. To take an alternative approach to prioritize the identified shared regulators, we mapped dynamic super-enhancers in both lineages and associated them to target genes with correlated expression profiles. The combination of the two approaches identified aryl hydrocarbon receptor (AHR) and Glis family zinc finger 1 (GLIS1) as mesenchymal key TFs controlled by dynamic cell type-specific super-enhancers that become repressed in both lineages. AHR and GLIS1 control differentiation-induced genes and their overexpression can inhibit the lineage commitment of the multipotent bone marrow-derived ST2 cells.

Indexed as

Enhancer Elements, GeneticAdipocytesAnimalsCell DifferentiationCell LineCell LineageDNA-Binding ProteinsGene Regulatory NetworksMesenchymal Stem CellsMiceOsteoblastsReceptors, Aryl HydrocarbonTranscription FactorsDNA-Binding ProteinsGlis1 protein, mouseReceptors, Aryl HydrocarbonTranscription Factors

Identifiers

PMID30544251
PMCPMC6380961
OpenAlexW2903874290

What OpenQuestion holds

Textmetadata
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.