Evidence map›Paper›PMID 31665499›Full record

ArticleNucleic acids research2020

ReMap 2020: a database of regulatory regions from an integrative analysis of Human and Arabidopsis DNA-binding sequencing experiments.

Jeanne Chèneby, Zacharie Ménétrier, Martin Mestdagh, Thomas Rosnet, Allyssa Douida, Wassim Rhalloussi, Aurélie Bergon, Fabrice Lopez, Benoit Ballester

Abstract read
In one paragraph

Article in Nucleic acids research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

84 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  10. Identify Non-mutational p53 Functional Deficiency in Human Cancers.Genomics, proteomics & bioinformatics · 2024
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  12. TFTG: A comprehensive database for human transcription factors and their targets.Computational and structural biotechnology journal · 2024
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24 more citing papers are in PubMed but not listed here.

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.

Jeanne ChènebyAix Marseille Univ, INSERM, TAGC, Marseille, France.
Zacharie MénétrierAix Marseille Univ, INSERM, TAGC, Marseille, France.
Martin MestdaghAix Marseille Univ, INSERM, TAGC, Marseille, France.
Thomas RosnetAix Marseille Univ, INSERM, TAGC, Marseille, France.
Allyssa DouidaAix Marseille Univ, INSERM, TAGC, Marseille, France.
Wassim RhalloussiAix Marseille Univ, INSERM, TAGC, Marseille, France.
Aurélie BergonAix Marseille Univ, INSERM, TAGC, Marseille, France.
Fabrice LopezAix Marseille Univ, INSERM, TAGC, Marseille, France.
Benoit BallesterAix Marseille Univ, INSERM, TAGC, Marseille, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ReMap (http://remap.univ-amu.fr) aims to provide the largest catalogs of high-quality regulatory regions resulting from a large-scale integrative analysis of hundreds of transcription factors and regulators from DNA-binding experiments in Human and Arabidopsis (Arabidopsis thaliana). In this 2020 update of ReMap we have collected, analyzed and retained after quality control 2764 new human ChIP-seq and 208 ChIP-exo datasets available from public sources. The updated human atlas totalize 5798 datasets covering a total of 1135 transcriptional regulators (TRs) with a catalog of 165 million (M) peaks. This ReMap update comes with two unique Arabidopsis regulatory catalogs. First, a catalog of 372 Arabidopsis TRs across 2.6M peaks as a result of the integration of 509 ChIP-seq and DAP-seq datasets. Second, a catalog of 33 histone modifications and variants across 4.5M peaks from the integration of 286 ChIP-seq datasets. All catalogs are made available through track hubs at Ensembl and UCSC Genome Browsers. Additionally, this update comes with a new web framework providing an interactive user-interface, including improved search features. Finally, full programmatically access to the underlying data is available using a RESTful API together with a new R Shiny interface for a TRs binding enrichment analysis tool.

Indexed as

Databases, GeneticRegulatory Elements, TranscriptionalArabidopsisChromatin Immunoprecipitation SequencingDNA-Binding ProteinsHistone CodeHumansTranscription FactorsUser-Computer InterfaceDNA-Binding ProteinsTranscription Factors

Identifiers

PMID31665499
PMCPMC7145625

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.