Evidence map›Paper›PMID 22955984›Full record

ArticleGenome research2012

Sequence and chromatin determinants of cell-type-specific transcription factor binding.

Aaron Arvey, Phaedra Agius, William Stafford Noble, Christina Leslie

Abstract read
In one paragraph

Article in Genome research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 137 papers.

0numbers the graph read from it
0cells of the map it votes in
137citing 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

137 citing papers in PubMed.

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77 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.

Aaron ArveyComputational Biology Program, Memorial Sloan-Kettering Cancer Center, New York, New York 10065, USA.
Phaedra Agius
William Stafford Noble
Christina Leslie

Funding

EDAC: ENCODE Data Analysis CenterU01HG004695 · NHGRI · EUROPEAN MOLECULAR BIOLOGY LABORATORY · PI BIRNEY, EWAN · 2008 to 2012
$6.4M
Integrative analysis tools to dissect cell-type specific transcriptional programsR01HG006798 · NHGRI · SLOAN-KETTERING INST CAN RESEARCH · PI LESLIE, CHRISTINA S · 2012 to 2014
$1.6M
NHGRI NIH HHS R01 HG006798NHGRI NIH HHS U01 HG004695NHGRI NIH HHS U54 HG004695
6 · The paper itself

Abstract

Gene regulatory programs in distinct cell types are maintained in large part through the cell-type-specific binding of transcription factors (TFs). The determinants of TF binding include direct DNA sequence preferences, DNA sequence preferences of cofactors, and the local cell-dependent chromatin context. To explore the contribution of DNA sequence signal, histone modifications, and DNase accessibility to cell-type-specific binding, we analyzed 286 ChIP-seq experiments performed by the ENCODE Consortium. This analysis included experiments for 67 transcriptional regulators, 15 of which were profiled in both the GM12878 (lymphoblastoid) and K562 (erythroleukemic) human hematopoietic cell lines. To model TF-bound regions, we trained support vector machines (SVMs) that use flexible k-mer patterns to capture DNA sequence signals more accurately than traditional motif approaches. In addition, we trained SVM spatial chromatin signatures to model local histone modifications and DNase accessibility, obtaining significantly more accurate TF occupancy predictions than simpler approaches. Consistent with previous studies, we find that DNase accessibility can explain cell-line-specific binding for many factors. However, we also find that of the 10 factors with prominent cell-type-specific binding patterns, four display distinct cell-type-specific DNA sequence preferences according to our models. Moreover, for two factors we identify cell-specific binding sites that are accessible in both cell types but bound only in one. For these sites, cell-type-specific sequence models, rather than DNase accessibility, are better able to explain differential binding. Our results suggest that using a single motif for each TF and filtering for chromatin accessible loci is not always sufficient to accurately account for cell-type-specific binding profiles.

Indexed as

Chromatin Assembly and DisassemblyRegulatory Sequences, Nucleic AcidBinding SitesCell LineChromatin ImmunoprecipitationComputational BiologyDeoxyribonucleasesGene Expression RegulationHigh-Throughput Nucleotide SequencingHistonesHumansModels, BiologicalNucleotide MotifsOrgan SpecificityProtein BindingProto-Oncogene Proteins c-junDeoxyribonucleasesHistonesProto-Oncogene Proteins c-junTranscription FactorsYY1 Transcription Factor

Identifiers

PMID22955984
PMCPMC3431489

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LicenceCC BY-NC
Read underepoch 390

Registered trials

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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.