Evidence map›Paper›PMID 17726537›Full record

ArticlePloS one2007

Wide-scale analysis of human functional transcription factor binding reveals a strong bias towards the transcription start site.

Yuval Tabach, Ran Brosh, Yossi Buganim, Anat Reiner, Or Zuk, Assif Yitzhaky, Mark Koudritsky, Varda Rotter, Eytan Domany

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

39 citing papers in PubMed, 66 citations in OpenAlex.

  1. Article
  2. Augusta: From RNA-Seq to gene regulatory networks and Boolean models.Computational and structural biotechnology journal · 2024
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  4. BLSSpeller to discover novel regulatory motifs in maize.DNA research : an international journal for rapid publication of reports on genes and genomes · 2022
    Article
  5. LncRNACancers · 2022
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  20. Algorithm to identify frequent coupled modules from two-layered network series: application to study transcription and splicing coupling.Journal of computational biology : a journal of computational molecular cell biology · 2012
    Article
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

9 authors at 1 institution in 1 country.

Yuval TabachDepartment of Physics of Complex Systems, Weizmann Institute of Science, Rehovot, Israel.; Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.
Ran Brosh
Yossi Buganim
Anat Reiner
Or Zuk
Assif Yitzhaky
Mark Koudritsky
Varda Rotter
Eytan Domany
Weizmann Institute of Science · IL

Funding

NEW METHODS FOR CANCER DETECTIONP01CA065930 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI BARANY, FRANCIS · 1997 to 2007
$14.1M
NCI NIH HHS 5 P01 CA 65930-06NCI NIH HHS P01 CA065930
6 · The paper itself

Abstract

backgroundTranscription factors (TF) regulate expression by binding to specific DNA sequences. A binding event is functional when it affects gene expression. Functionality of a binding site is reflected in conservation of the binding sequence during evolution and in over represented binding in gene groups with coherent biological functions. Functionality is governed by several parameters such as the TF-DNA binding strength, distance of the binding site from the transcription start site (TSS), DNA packing, and more. Understanding how these parameters control functionality of different TFs in different biological contexts is a must for identifying functional TF binding sites and for understanding regulation of transcription. METHODOLOGY/PRINCIPAL

findingsWe introduce a novel method to screen the promoters of a set of genes with shared biological function (obtained from the functional Gene Ontology (GO) classification) against a precompiled library of motifs, and find those motifs which are statistically over-represented in the gene set. More than 8,000 human (and 23,000 mouse) genes, were assigned to one of 134 GO sets. Their promoters were searched (from 200 bp downstream to 1,000 bp upstream the TSS) for 414 known DNA motifs. We optimized the sequence similarity score threshold, independently for every location window, taking into account nucleotide heterogeneity along the promoters of the target genes. The method, combined with binding sequence and location conservation between human and mouse, identifies with high probability functional binding sites for groups of functionally-related genes. We found many location-sensitive functional binding events and showed that they clustered close to the TSS. Our method and findings were tested experimentally. CONCLUSIONS/SIGNIFICANCE: We identified reliably functional TF binding sites. This is an essential step towards constructing regulatory networks. The promoter region proximal to the TSS is of central importance for regulation of transcription in human and mouse, just as it is in bacteria and yeast.

Indexed as

Promoter Regions, GeneticTranscription Initiation SiteAnimalsBinding SitesCell CycleHumansMiceTATA BoxTranscription FactorsTranscription Factors

Identifiers

PMID17726537
PMCPMC1950076
OpenAlexW2108507302

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.