Evidence map›Paper›PMID 29021291›Full record

ArticleGenome research2017

A genome-wide interactome of DNA-associated proteins in the human liver.

Ryne C Ramaker, Daniel Savic, Andrew A Hardigan, Kimberly Newberry, Gregory M Cooper, Richard M Myers, Sara J Cooper

Abstract read
In one paragraph

Article in Genome research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

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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

7 authors.

Ryne C RamakerHudsonAlpha Institute for Biotechnology, Huntsville, Alabama 35806, USA.
Daniel SavicHudsonAlpha Institute for Biotechnology, Huntsville, Alabama 35806, USA.
Andrew A HardiganHudsonAlpha Institute for Biotechnology, Huntsville, Alabama 35806, USA.
Kimberly NewberryHudsonAlpha Institute for Biotechnology, Huntsville, Alabama 35806, USA.
Gregory M CooperHudsonAlpha Institute for Biotechnology, Huntsville, Alabama 35806, USA.
Richard M MyersHudsonAlpha Institute for Biotechnology, Huntsville, Alabama 35806, USA.
Sara J CooperHudsonAlpha Institute for Biotechnology, Huntsville, Alabama 35806, USA.ORCID 0000-0002-9627-0309

Funding

UAB Center for Clinical and Translational Science (CCTS)UL1TR001417 · NCATS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI KIMBERLY, ROBERT P. · 2015 to 2018
$31.4M
Toward a comprehensive functional annotation of the human genomeU54HG006998 · NHGRI · HUDSON-ALPHA INSTITUTE FOR BIOTECHNOLOGY · PI MYERS, RICHARD M · 2012 to 2016
$17.5M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM008361 · NIGMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI YACOUBIAN, TALENE ALENE · 1992 to 2024
$16.8M
NCATS NIH HHS UL1 TR001417NHGRI NIH HHS U54 HG006998NIGMS NIH HHS T32 GM008361
6 · The paper itself

Abstract

Large-scale efforts like the ENCODE Project have made tremendous progress in cataloging the genomic binding patterns of DNA-associated proteins (DAPs), such as transcription factors (TFs). However, most chromatin immunoprecipitation-sequencing (ChIP-seq) analyses have focused on a few immortalized cell lines whose activities and physiology differ in important ways from endogenous cells and tissues. Consequently, binding data from primary human tissue are essential to improving our understanding of in vivo gene regulation. Here, we identify and analyze more than 440,000 binding sites using ChIP-seq data for 20 DAPs in two human liver tissue samples. We integrated binding data with transcriptome and phased WGS data to investigate allelic DAP interactions and the impact of heterozygous sequence variation on the expression of neighboring genes. Our tissue-based data set exhibits binding patterns more consistent with liver biology than cell lines, and we describe uses of these data to better prioritize impactful noncoding variation. Collectively, our rich data set offers novel insights into genome function in human liver tissue and provides a valuable resource for assessing disease-related disruptions.

Indexed as

Binding SitesChromatin ImmunoprecipitationDatabases, GeneticDNADNA-Binding ProteinsGene Expression ProfilingGenome, HumanHigh-Throughput Nucleotide SequencingHumansLiverPolymorphism, Single NucleotideQuantitative Trait LociSequence Analysis, DNADNADNA-Binding Proteins

Identifiers

PMID29021291
PMCPMC5668951

What OpenQuestion holds

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LicenceCC BY-NC
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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.