Evidence map›Paper›PMID 19483094›Full record

ArticleNucleic acids research2009

Measuring spatial preferences at fine-scale resolution identifies known and novel cis-regulatory element candidates and functional motif-pair relationships.

Ken Daigoro Yokoyama, Uwe Ohler, Gregory A Wray

Abstract readEvaluation Study
In one paragraph

Article in Nucleic acids research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 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.

Ken Daigoro YokoyamaBiology Department, Institute for Genome Sciences and Policy, Duke University, Durham, NC 27708, USA.
Uwe Ohler
Gregory A Wray

Funding

Project 6P50GM081883 · NIGMS · DUKE UNIVERSITY · PI BENFEY, PHILIP N · 2007 to 2012
$14.9M
Modeling the structure & evolution of regulatory regions in eukaryotic gemomesR01HG004065 · NHGRI · DUKE UNIVERSITY · PI OHLER, UWE · 2007 to 2011
$1.9M
NHGRI NIH HHS HG004065NHGRI NIH HHS R01 HG004065NIGMS NIH HHS 5P50-GM-081883NIGMS NIH HHS P50 GM081883
6 · The paper itself

Abstract

Transcriptional regulation is mediated by the collective binding of proteins called transcription factors to cis-regulatory elements. A handful of factors are known to function at particular distances from the transcription start site, although the extent to which this occurs is not well understood. Spatial dependencies can also exist between pairs of binding motifs, facilitating factor-pair interactions. We sought to determine to what extent spatial preferences measured at high-scale resolution could be utilized to predict cis-regulatory elements as well as motif-pairs binding interacting proteins. We introduce the 'motif positional function' model which predicts spatial biases using regression analysis, differentiating noise from true position-specific overrepresentation at single-nucleotide resolution. Our method predicts 48 consensus motifs exhibiting positional enrichment within human promoters, including fourteen motifs without known binding partners. We then extend the model to analyze distance preferences between pairs of motifs. We find that motif-pairs binding interacting factors often co-occur preferentially at multiple distances, with intervals between preferred distances often corresponding to the turn of the DNA double-helix. This offers a novel means by which to predict sequence elements with a collective role in gene regulation.

Indexed as

Promoter Regions, GeneticSequence Analysis, DNAAnimalsBase SequenceBinding SitesConsensus SequenceHumansMiceModels, GeneticRegression AnalysisTranscription FactorsTranscription Initiation SiteTranscription Factors

Identifiers

PMID19483094
PMCPMC2715254

What OpenQuestion holds

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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.