Evidence map›Paper›PMID 25035418›Full record

ArticleGenome research2014

High-throughput functional testing of ENCODE segmentation predictions.

Jamie C Kwasnieski, Christopher Fiore, Hemangi G Chaudhari, Barak A Cohen

Abstract read
In one paragraph

Article in Genome research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 156 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
156citing papers in PubMed, 1 pooled it
–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

156 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  17. Oncogenic Enhancers in Leukemia.Blood cancer discovery · 2024
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96 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

4 authors.

Jamie C KwasnieskiCenter for Genome Sciences and Systems Biology, Department of Genetics, Washington University School of Medicine, St. Louis, Missouri 63110, USA.
Christopher FioreCenter for Genome Sciences and Systems Biology, Department of Genetics, Washington University School of Medicine, St. Louis, Missouri 63110, USA.
Hemangi G ChaudhariCenter for Genome Sciences and Systems Biology, Department of Genetics, Washington University School of Medicine, St. Louis, Missouri 63110, USA.
Barak A CohenCenter for Genome Sciences and Systems Biology, Department of Genetics, Washington University School of Medicine, St. Louis, Missouri 63110, USA cohen@genetics.wustl.edu.

Funding

PROMOTERSR01GM092910 · NIGMS · WASHINGTON UNIVERSITY · PI Barak A Cohen · 2011 to 2026
$6.6M
MASSIVELY PARALLEL CIS-REGULATORY ELEMENT ANALYSIS IN MAMMALIAN CELLSR01HG006790 · NHGRI · WASHINGTON UNIVERSITY · PI COHEN, BARAK A, CORBO, JOSEPH · 2012 to 2014
$1.1M
NHGRI NIH HHS R01 HG006790NIGMS NIH HHS R01 GM092910
6 · The paper itself

Abstract

The histone modification state of genomic regions is hypothesized to reflect the regulatory activity of the underlying genomic DNA. Based on this hypothesis, the ENCODE Project Consortium measured the status of multiple histone modifications across the genome in several cell types and used these data to segment the genome into regions with different predicted regulatory activities. We measured the cis-regulatory activity of more than 2000 of these predictions in the K562 leukemia cell line. We tested genomic segments predicted to be Enhancers, Weak Enhancers, or Repressed elements in K562 cells, along with other sequences predicted to be Enhancers specific to the H1 human embryonic stem cell line (H1-hESC). Both Enhancer and Weak Enhancer sequences in K562 cells were more active than negative controls, although surprisingly, Weak Enhancer segmentations drove expression higher than did Enhancer segmentations. Lower levels of the covalent histone modifications H3K36me3 and H3K27ac, thought to mark active enhancers and transcribed gene bodies, associate with higher expression and partly explain the higher activity of Weak Enhancers over Enhancer predictions. While DNase I hypersensitivity (HS) is a good predictor of active sequences in our assay, transcription factor (TF) binding models need to be included in order to accurately identify highly expressed sequences. Overall, our results show that a significant fraction (-26%) of the ENCODE enhancer predictions have regulatory activity, suggesting that histone modification states can reflect the cis-regulatory activity of sequences in the genome, but that specific sequence preferences, such as TF-binding sites, are the causal determinants of cis-regulatory activity.

Indexed as

Regulatory Sequences, Nucleic AcidComputational BiologyEmbryonic Stem CellsGene Expression RegulationHistonesHumansK562 CellsLogistic ModelsModels, GeneticSequence Analysis, RNAHistones

Identifiers

PMID25035418
PMCPMC4199366

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.