Evidence map›Paper›PMID 24469817›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2014

Identifying and mapping cell-type-specific chromatin programming of gene expression.

Troels T Marstrand, John D Storey

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.3field-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, 47 citations in OpenAlex.

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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

2 authors at 2 institutions in 2 countries.

Troels T MarstrandLewis-Sigler Institute for Integrative Genomics, and Department of Molecular Biology, Princeton University, Princeton, NJ 08544.
John D Storey
Institute for Integrative and Experimental Genomics · DEPrinceton University · US

Funding

A Comprehensive catalog of human DNasel hypersensitive sitesU54HG004592 · NHGRI · UNIVERSITY OF WASHINGTON · PI STAMATOYANNOPOULOS, JOHN A · 2007 to 2011
$15.0M
Statistical Methods for High-Throughput Gene Expression ProfilingR01HG002913 · NHGRI · UNIVERSITY OF WASHINGTON · PI STOREY, JOHN D · 2004 to 2015
$3.1M
NHGRI NIH HHS R01 HG002913NHGRI NIH HHS U54 HG004592
6 · The paper itself

Abstract

A problem of substantial interest is to systematically map variation in chromatin structure to gene-expression regulation across conditions, environments, or differentiated cell types. We developed and applied a quantitative framework for determining the existence, strength, and type of relationship between high-resolution chromatin structure in terms of DNaseI hypersensitivity and genome-wide gene-expression levels in 20 diverse human cell types. We show that ∼25% of genes show cell-type-specific expression explained by alterations in chromatin structure. We find that distal regions of chromatin structure (e.g., ±200 kb) capture more genes with this relationship than local regions (e.g., ±2.5 kb), yet the local regions show a more pronounced effect. By exploiting variation across cell types, we were capable of pinpointing the most likely hypersensitive sites related to cell-type-specific expression, which we show have a range of contextual uses. This quantitative framework is likely applicable to other settings aimed at relating continuous genomic measurements to gene-expression variation.

Indexed as

Gene Expression ProfilingChromatinDeoxyribonuclease IHumansPolymorphism, Single NucleotideRegulatory Elements, TranscriptionalChromatinDeoxyribonuclease Iassociationcomputational biologyencodeepigeneticsgene regulation

Identifiers

PMID24469817
PMCPMC3926062
OpenAlexW2017314349

What OpenQuestion holds

Textmetadata
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.