Evidence map›Paper›PMID 30660610›Full record

ArticleCell systems2019

A De Novo Shape Motif Discovery Algorithm Reveals Preferences of Transcription Factors for DNA Shape Beyond Sequence Motifs.

Md Abul Hassan Samee, Benoit G Bruneau, Katherine S Pollard

Abstract read
In one paragraph

Article in Cell systems, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing 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

45 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

3 authors.

Md Abul Hassan SameeGladstone Institutes, San Francisco, CA 94158, USA.
Benoit G BruneauGladstone Institutes, San Francisco, CA 94158, USA; Department of Pediatrics and Cardiovascular Research Institute, University of California, San Francisco, San Francisco, CA 94158, USA.
Katherine S PollardGladstone Institutes, San Francisco, CA 94158, USA; Department of Epidemiology & Biostatistics, Institute for Human Genetics, Quantitative Biology Institute, and Institute for Computational Health Sciences, University of California, San Francisco, San Francisco, CA 94158, USA; Chan-Zuckerberg Biohub, San Francisco, CA 94158, USA. Electronic address: katherine.pollard@gladstone.ucsf.edu.

Funding

Administrative Coordinating Center: Cardiovascular Development and Pediatric Cardiac Genomics ConsortiaU01HL131003 · NHLBI · CINCINNATI CHILDRENS HOSP MED CTR · PI CNOTA, JAMES, OLLBERDING, NICHOLAS J · 2016 to 2024
$54.8M
The Epigenetic Landscape of Heart DevelopmentU01HL098179 · NHLBI · J. DAVID GLADSTONE INSTITUTES · PI BOYER, LAURIE A, BRUNEAU, BENOIT GAETAN · 2009 to 2014
$10.0M
The Epigenetic Landscape of Heart DevelopmentUM1HL098179 · NHLBI · J. DAVID GLADSTONE INSTITUTES · PI BRUNEAU, BENOIT GAETAN, POLLARD, KATHERINE S. · 2015 to 2019
$4.7M
NHLBI NIH HHS U01 HL098179NHLBI NIH HHS U01 HL131003NHLBI NIH HHS UM1 HL098179
6 · The paper itself

Abstract

DNA shape adds specificity to sequence motifs but has not been explored systematically outside this context. We hypothesized that DNA-binding proteins (DBPs) preferentially occupy DNA with specific structures ("shape motifs") regardless of whether or not these correspond to high information content sequence motifs. We present ShapeMF, a Gibbs sampling algorithm that identifies de novo shape motifs. Using binding data from hundreds of in vivo and in vitro experiments, we show that most DBPs have shape motifs and can occupy these in the absence of sequence motifs. This "shape-only binding" is common for many DBPs and in regions co-bound by multiple DBPs. When shape and sequence motifs co-occur, they can be overlapping, flanking, or separated by consistent spacing. Finally, DBPs within the same protein family have different shape motifs, explaining their distinct genome-wide occupancy despite having similar sequence motifs. These results suggest that shape motifs not only complement sequence motifs but also facilitate recognition of DNA beyond conventionally defined sequence motifs.

Indexed as

AlgorithmsBinding SitesDNAHumansNucleotide MotifsTranscription FactorsDNATranscription FactorsalgorithmChIP-Seqde novo shape motif discoveryDNA binding proteinDNA shapeGibbs samplingHT-SELEXsequence motifshape motifshape-only bindingshape-specific bindingshape specificitytranscription factor

Identifiers

PMID30660610
PMCPMC6368855

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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.