Evidence map›Paper›PMID 26914206›Full record

ArticleNature methods2016

Genome-wide footprinting: ready for prime time?

Myong-Hee Sung, Songjoon Baek, Gordon L Hager

Abstract read
In one paragraph

Article in Nature methods, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
5.6field-weighted citation impact, top 4% 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

47 citing papers in PubMed, 75 citations in OpenAlex.

  1. NovelbioRxiv : the preprint server for biology · 2026
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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

3 authors at 1 institution in 1 country.

Myong-Hee Sung *Laboratory of Receptor Biology and Gene Expression, National Cancer Institute, US National Institutes of Health, Bethesda, Maryland, USA.
Songjoon Baek *Laboratory of Receptor Biology and Gene Expression, National Cancer Institute, US National Institutes of Health, Bethesda, Maryland, USA.
Gordon L HagerLaboratory of Receptor Biology and Gene Expression, National Cancer Institute, US National Institutes of Health, Bethesda, Maryland, USA.
National Cancer Institute · US

Funding

Chromatin Structure and Gene ExpressionZIABC005450 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI HAGER, GORDON L · 2009 to 2025
$35.2M
Epigenomic analysis of primary immune cells from young and old animalsZIAAG000390 · NIA · NATIONAL INSTITUTE ON AGING · PI SUNG, MYONG-HEE · 2016 to 2025
$24.4M
Intramural NIH HHS Z99 AG999999Intramural NIH HHS ZIA AG000390
6 · The paper itself

Abstract

High-throughput sequencing technologies have allowed many gene locus-level molecular biology assays to become genome-wide profiling methods. DNA-cleaving enzymes such as DNase I have been used to probe accessible chromatin. The accessible regions contain functional regulatory sites, including promoters, insulators and enhancers. Deep sequencing of DNase-seq libraries and computational analysis of the cut profiles have been used to infer protein occupancy in the genome at the nucleotide level, a method introduced as 'digital genomic footprinting'. The approach has been proposed as an attractive alternative to the analysis of transcription factors (TFs) by chromatin immunoprecipitation followed by sequencing (ChIP-seq), and in theory it should overcome antibody issues, poor resolution and batch effects. Recent reports point to limitations of the DNase-based genomic footprinting approach and call into question the scope of detectable protein occupancy, especially for TFs with short-lived chromatin binding. The genomics community is grappling with issues concerning the utility of genomic footprinting and is reassessing the proposed approaches in terms of robust deliverables. Here we summarize the consensus as well as different views emerging from recent reports, and we describe the remaining issues and hurdles for genomic footprinting.

Indexed as

AlgorithmsChromosome MappingDNADNA FootprintingGenome, HumanHigh-Throughput Nucleotide SequencingHumansDNA

Identifiers

PMID26914206
PMCPMC5140282
OpenAlexW2280178603

What OpenQuestion 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 OpenQuestion graph.