Evidence map›Paper›PMID 26721389›Full record

ArticleNucleic acids research2016

ConBind: motif-aware cross-species alignment for the identification of functional transcription factor binding sites.

Stefan H Lelieveld, Judith Schütte, Maurits J J Dijkstra, Punto Bawono, Sarah J Kinston, Berthold Göttgens, Jaap Heringa, Nicola Bonzanni

Abstract read
In one paragraph

Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 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

8 authors.

Stefan H LelieveldCentre for Integrative Bioinformatics VU, VU University Amsterdam, Amsterdam 1081 HV, The Netherlands Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen 6525 GA, The Netherlands.
Judith SchütteDepartment of Haematology, Wellcome Trust-MRC Cambridge Stem Cell Institute & Cambridge Institute for Medical Research, Cambridge University, Cambridge CB2 0XY, UK Klinik für Hämatologie, Universitätsklinik Essen 45147, Germany.
Maurits J J DijkstraCentre for Integrative Bioinformatics VU, VU University Amsterdam, Amsterdam 1081 HV, The Netherlands.
Punto BawonoCentre for Integrative Bioinformatics VU, VU University Amsterdam, Amsterdam 1081 HV, The Netherlands.
Sarah J KinstonDepartment of Haematology, Wellcome Trust-MRC Cambridge Stem Cell Institute & Cambridge Institute for Medical Research, Cambridge University, Cambridge CB2 0XY, UK.
Berthold GöttgensDepartment of Haematology, Wellcome Trust-MRC Cambridge Stem Cell Institute & Cambridge Institute for Medical Research, Cambridge University, Cambridge CB2 0XY, UK bg200@cam.ac.uk.
Jaap HeringaCentre for Integrative Bioinformatics VU, VU University Amsterdam, Amsterdam 1081 HV, The Netherlands j.heringa@vu.nl.
Nicola BonzanniCentre for Integrative Bioinformatics VU, VU University Amsterdam, Amsterdam 1081 HV, The Netherlands Computational Cancer Biology Group, Division of Molecular Carcinogenesis, The Netherlands Cancer Institute, Amsterdam 1066 CX, The Netherlands ENPICOM, Eindhoven 5632 CW, The Netherlands n.bonzanni@vu.nl.ORCID 0000-0003-4412-880X

Funding

Biotechnology and Biological Sciences Research CouncilCancer Research UK 12765Medical Research Council MC_PC_12009Wellcome Trust 97922
6 · The paper itself

Abstract

Eukaryotic gene expression is regulated by transcription factors (TFs) binding to promoter as well as distal enhancers. TFs recognize short, but specific binding sites (TFBSs) that are located within the promoter and enhancer regions. Functionally relevant TFBSs are often highly conserved during evolution leaving a strong phylogenetic signal. While multiple sequence alignment (MSA) is a potent tool to detect the phylogenetic signal, the current MSA implementations are optimized to align the maximum number of identical nucleotides. This approach might result in the omission of conserved motifs that contain interchangeable nucleotides such as the ETS motif (IUPAC code: GGAW). Here, we introduce ConBind, a novel method to enhance alignment of short motifs, even if their mutual sequence similarity is only partial. ConBind improves the identification of conserved TFBSs by improving the alignment accuracy of TFBS families within orthologous DNA sequences. Functional validation of the Gfi1b + 13 enhancer reveals that ConBind identifies additional functionally important ETS binding sites that were missed by all other tested alignment tools. In addition to the analysis of known regulatory regions, our web tool is useful for the analysis of TFBSs on so far unknown DNA regions identified through ChIP-sequencing.

Indexed as

AnimalsBase SequenceBinding SitesComputational BiologyDNA-Binding ProteinsEnhancer Elements, GeneticGene Expression RegulationHumansPromoter Regions, GeneticSequence AlignmentSequence Analysis, DNATranscription FactorsDNA-Binding ProteinsTranscription Factors

Identifiers

PMID26721389
PMCPMC4856970

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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.