Evidence map›Paper›PMID 32848148›Full record

ArticleNature communications2020

ATAC-seq footprinting unravels kinetics of transcription factor binding during zygotic genome activation.

Mette Bentsen, Philipp Goymann, Hendrik Schultheis, Kathrin Klee, Anastasiia Petrova, René Wiegandt, Annika Fust, Jens Preussner, Carsten Kuenne, Thomas Braun and 2 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 449 papers.

0numbers the graph read from it
0cells of the map it votes in
449citing papers in PubMed
27.6field-weighted citation impact, top 1% 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

449 citing papers in PubMed, 713 citations in OpenAlex.

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389 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

12 authors at 1 institution in 1 country.

Mette BentsenBioinformatics Core Unit (BCU), Max Planck Institute for Heart and Lung Research, 61231, Bad Nauheim, Germany.ORCID http://orcid.org/0000-0002-8016-0199
Philipp GoymannBioinformatics Core Unit (BCU), Max Planck Institute for Heart and Lung Research, 61231, Bad Nauheim, Germany.ORCID http://orcid.org/0000-0001-5640-9356
Hendrik SchultheisBioinformatics Core Unit (BCU), Max Planck Institute for Heart and Lung Research, 61231, Bad Nauheim, Germany.
Kathrin KleeBioinformatics Core Unit (BCU), Max Planck Institute for Heart and Lung Research, 61231, Bad Nauheim, Germany.ORCID http://orcid.org/0000-0003-2408-1282
Anastasiia PetrovaBioinformatics Core Unit (BCU), Max Planck Institute for Heart and Lung Research, 61231, Bad Nauheim, Germany.
René WiegandtBioinformatics Core Unit (BCU), Max Planck Institute for Heart and Lung Research, 61231, Bad Nauheim, Germany.ORCID http://orcid.org/0000-0002-5921-8413
Annika FustBioinformatics Core Unit (BCU), Max Planck Institute for Heart and Lung Research, 61231, Bad Nauheim, Germany.
Jens PreussnerBioinformatics Core Unit (BCU), Max Planck Institute for Heart and Lung Research, 61231, Bad Nauheim, Germany.ORCID http://orcid.org/0000-0003-1927-3458
Carsten KuenneBioinformatics Core Unit (BCU), Max Planck Institute for Heart and Lung Research, 61231, Bad Nauheim, Germany.ORCID http://orcid.org/0000-0001-8013-5906
Thomas BraunGerman Centre for Cardiovascular Research (DZHK), Partner Site Rhine-Main, 60596, Frankfurt am Main, Germany.ORCID http://orcid.org/0000-0002-6165-4804
Johnny KimGerman Centre for Cardiovascular Research (DZHK), Partner Site Rhine-Main, 60596, Frankfurt am Main, Germany.ORCID http://orcid.org/0000-0002-5226-5460
Mario LoosoBioinformatics Core Unit (BCU), Max Planck Institute for Heart and Lung Research, 61231, Bad Nauheim, Germany. mario.looso@mpi-bn.mpg.de.ORCID http://orcid.org/0000-0003-1495-9530
Max Planck Institute for Heart and Lung Research · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While footprinting analysis of ATAC-seq data can theoretically enable investigation of transcription factor (TF) binding, the lack of a computational tool able to conduct different levels of footprinting analysis has so-far hindered the widespread application of this method. Here we present TOBIAS, a comprehensive, accurate, and fast footprinting framework enabling genome-wide investigation of TF binding dynamics for hundreds of TFs simultaneously. We validate TOBIAS using paired ATAC-seq and ChIP-seq data, and find that TOBIAS outperforms existing methods for bias correction and footprinting. As a proof-of-concept, we illustrate how TOBIAS can unveil complex TF dynamics during zygotic genome activation in both humans and mice, and propose how zygotic Dux activates cascades of TFs, binds to repeat elements and induces expression of novel genetic elements.

Indexed as

Transcriptional ActivationAnimalsBinding SitesChromatin Immunoprecipitation SequencingEmbryonic DevelopmentEpigenesis, GeneticFemaleGenome, HumanHomeodomain ProteinsHumansKineticsMicePromoter Regions, GeneticProof of Concept StudyProtein BindingSpecies SpecificityHomeodomain ProteinsTranscription Factors

Identifiers

PMID32848148
PMCPMC7449963
OpenAlexW3080775827

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.