Evidence map›Paper›PMID 32814038›Full record

ArticleCell reports2020

Atlas of Transcription Factor Binding Sites from ENCODE DNase Hypersensitivity Data across 27 Tissue Types.

Cory C Funk, Alex M Casella, Segun Jung, Matthew A Richards, Alex Rodriguez, Paul Shannon, Rory Donovan-Maiye, Ben Heavner, Kyle Chard, Yukai Xiao and 11 more

Open access · goldAbstract read
In one paragraph

Article in Cell reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
2.2field-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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
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  8. Article
  9. A transcriptional enhancer regulates cardiac maturation.Nature cardiovascular research · 2024
    Article
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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

21 authors at 6 institutions in 1 country.

Cory C FunkInstitute for Systems Biology, Seattle, WA 98109, USA.
Alex M CasellaInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD 21201, USA; Medical Scientist Training Program, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
Segun JungGlobus, University of Chicago, Chicago, IL 60637, USA.
Matthew A RichardsInstitute for Systems Biology, Seattle, WA 98109, USA.
Alex RodriguezGlobus, University of Chicago, Chicago, IL 60637, USA.
Paul ShannonInstitute for Systems Biology, Seattle, WA 98109, USA.
Rory Donovan-MaiyeInstitute for Systems Biology, Seattle, WA 98109, USA.
Ben HeavnerInstitute for Systems Biology, Seattle, WA 98109, USA.
Kyle ChardGlobus, University of Chicago, Chicago, IL 60637, USA.
Yukai XiaoGlobus, University of Chicago, Chicago, IL 60637, USA.
Gustavo GlusmanInstitute for Systems Biology, Seattle, WA 98109, USA.
Nilufer Ertekin-TanerMayo Clinic, Department of Neuroscience, Jacksonville, FL 32224, USA.
Todd E GoldeMayo Clinic, Department of Neuroscience, Jacksonville, FL 32224, USA.
Arthur TogaMark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA 90033, USA.
Leroy HoodInstitute for Systems Biology, Seattle, WA 98109, USA.
John D Van HornDepartment of Psychology, University of Southern California, Los Angeles, CA 90007, USA.
Carl KesselmanInformation Sciences Institute, University of Southern California, Los Angeles, CA 90292, USA.
Ian FosterGlobus, University of Chicago, Chicago, IL 60637, USA; Data Science and Learning Division, Argonne National Laboratory, Argonne, IL 60439, USA.
Ravi MadduriGlobus, University of Chicago, Chicago, IL 60637, USA; Data Science and Learning Division, Argonne National Laboratory, Argonne, IL 60439, USA. Electronic address: madduri@anl.gov.
Nathan D PriceInstitute for Systems Biology, Seattle, WA 98109, USA. Electronic address: nathan.price@systemsbiology.org.
Seth A AmentInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD 21201, USA; Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21201, USA. Electronic address: sament@som.umaryland.edu.
Institute for Systems Biology · USUniversity of Chicago · USUniversity of Southern California · USArgonne National Laboratory · USMayo Clinic in Florida · USUniversity of Maryland, Baltimore · US

Funding

Research Education ComponentP30AG062677 · NIA · MAYO CLINIC ROCHESTER · PI John Lucas · 2019 to 2026
$33.5M
Quantitative Systems BiologyP50GM076547 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI MORITZ, ROBERT L · 2006 to 2016
$30.6M
Integrating the exposome and methylome to inform brain molecular changes in ADRD across established diverse cohorts.U01AG046139 · NIA · UNIVERSITY OF FLORIDA · PI ERTEKIN-TANER, NILUFER, FUNK, CORY · 2013 to 2022
$24.6M
A BRAIN Initiative Resource: The Neuroscience Multi-omic Data ArchiveR24MH114788 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI Anup Mahurkar, Owen R White · 2017 to 2026
$17.2M
TrainingU54EB020406 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TOGA, ARTHUR W · 2014 to 2018
$12.5M
Integrative translational discovery of vascular risk factors in aging and dementiaRF1AG051504 · NIA · MAYO CLINIC JACKSONVILLE · PI BU, GUOJUN, ERTEKIN-TANER, NILUFER · 2015 to 2019
$9.8M
Validation of Antibody Reagents for 15 High Priority AMP-AD TargetsRF1AG057443 · NIA · SAGE BIONETWORKS · PI BRENNAN , PAUL, MANGRAVITE, LARA M · 2017 to 2019
$6.0M
Harnessing Molecular Networks of Resilience for Therapeutic Discoveries in ADR01AG061796 · NIA · MAYO CLINIC JACKSONVILLE · PI ERTEKIN-TANER, NILUFER · 2018 to 2022
$5.7M
Illuminating Neurodevelopment through Integrated Analysis and Vizualization of Multi-Omic DataR24MH114815 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI HERTZANO, RONNA, WHITE, OWEN R · 2018 to 2020
$2.3M
Hardening Globus Genomics to make large-scale genomics analysis available for everybodyR01HG009018 · NHGRI · UNIVERSITY OF CHICAGO · PI FOSTER, IAN, MADDURI, RAVI KIRAN · 2016 to 2019
$1.6M
Describing the Networks of Disease-associated Transcription Factors in the Brain.F30MH120910 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI CASELLA, ALEX · 2020 to 2022
$108k
NHGRI NIH HHS R01 HG009018NIA NIH HHS P30 AG062677NIA NIH HHS R01 AG061796NIA NIH HHS RF1 AG051504NIA NIH HHS RF1 AG057443NIA NIH HHS U01 AG046139NIBIB NIH HHS U54 EB020406NIGMS NIH HHS P50 GM076547NIMH NIH HHS F30 MH120910NIMH NIH HHS R24 MH114788NIMH NIH HHS R24 MH114815
6 · The paper itself

Abstract

Characterizing the tissue-specific binding sites of transcription factors (TFs) is essential to reconstruct gene regulatory networks and predict functions for non-coding genetic variation. DNase-seq footprinting enables the prediction of genome-wide binding sites for hundreds of TFs simultaneously. Despite the public availability of high-quality DNase-seq data from hundreds of samples, a comprehensive, up-to-date resource for the locations of genomic footprints is lacking. Here, we develop a scalable footprinting workflow using two state-of-the-art algorithms: Wellington and HINT. We apply our workflow to detect footprints in 192 ENCODE DNase-seq experiments and predict the genomic occupancy of 1,515 human TFs in 27 human tissues. We validate that these footprints overlap true-positive TF binding sites from ChIP-seq. We demonstrate that the locations, depth, and tissue specificity of footprints predict effects of genetic variants on gene expression and capture a substantial proportion of genetic risk for complex traits.

Indexed as

Binding SitesDeoxyribonucleasesGenomicsHumansTranscription FactorsDeoxyribonucleasesTranscription FactorsDNase-seqENCODEfootprintinggene regulationmotifspsychiatric geneticstranscription factors

Identifiers

PMID32814038
PMCPMC7462736
OpenAlexW3059136655

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.