Literature DB >> 18256240

Systematic functional characterization of cis-regulatory motifs in human core promoters.

Saurabh Sinha1, Adam S Adler, Yair Field, Howard Y Chang, Eran Segal.   

Abstract

A large number of cis-regulatory motifs involved in transcriptional control have been identified, but the regulatory context and biological processes in which many of them function are unknown. Here, we computationally identify the sets of human core promoters targeted by motifs, and systematically characterize their function by using a robust gene-set-based approach and diverse sources of biological data. We find that the target sets of most motifs contain both genes with similar function and genes that are coregulated in vivo, thereby suggesting both the biological process regulated by the motifs and the conditions in which this regulation may occur. Our analysis also identifies many motifs whose target sets are predicted to be regulated by a common microRNA, suggesting a connection between transcriptional and post-transcriptional control processes. Finally, we predict novel roles for uncharacterized motifs in the regulation of specific biological processes and certain types of human cancer, and experimentally validate four such predictions, suggesting regulatory roles for four uncharacterized motifs in cell cycle progression. Our analysis thus provides a concrete framework for uncovering the biological function of cis-regulatory motifs genome wide.

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Year:  2008        PMID: 18256240      PMCID: PMC2259112          DOI: 10.1101/gr.6828808

Source DB:  PubMed          Journal:  Genome Res        ISSN: 1088-9051            Impact factor:   9.043


  41 in total

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2.  Gene ontology: tool for the unification of biology. The Gene Ontology Consortium.

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3.  Combinatorial microRNA target predictions.

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Journal:  Nat Genet       Date:  2005-04-03       Impact factor: 38.330

Review 4.  Transcriptional regulation: cancer, neurons and the REST.

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Journal:  Curr Biol       Date:  2005-09-06       Impact factor: 10.834

5.  A global map of p53 transcription-factor binding sites in the human genome.

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Journal:  Cell       Date:  2006-01-13       Impact factor: 41.582

6.  A genome-wide analysis of CpG dinucleotides in the human genome distinguishes two distinct classes of promoters.

Authors:  Serge Saxonov; Paul Berg; Douglas L Brutlag
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7.  A systematic model to predict transcriptional regulatory mechanisms based on overrepresentation of transcription factor binding profiles.

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Journal:  Genome Res       Date:  2006-01-31       Impact factor: 9.043

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  39 in total

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Journal:  Mol Biol Evol       Date:  2011-11-10       Impact factor: 16.240

2.  Epigenetic priors for identifying active transcription factor binding sites.

Authors:  Gabriel Cuellar-Partida; Fabian A Buske; Robert C McLeay; Tom Whitington; William Stafford Noble; Timothy L Bailey
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3.  New meta-analysis tools reveal common transcriptional regulatory basis for multiple determinants of behavior.

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4.  Control of alveolar differentiation by the lineage transcription factors GATA6 and HOPX inhibits lung adenocarcinoma metastasis.

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Journal:  Cancer Cell       Date:  2013-05-23       Impact factor: 31.743

5.  Transcription factor and microRNA motif discovery: the Amadeus platform and a compendium of metazoan target sets.

Authors:  Chaim Linhart; Yonit Halperin; Ron Shamir
Journal:  Genome Res       Date:  2008-04-14       Impact factor: 9.043

6.  Integrating multiple evidence sources to predict transcription factor binding in the human genome.

Authors:  Jason Ernst; Heather L Plasterer; Itamar Simon; Ziv Bar-Joseph
Journal:  Genome Res       Date:  2010-03-10       Impact factor: 9.043

7.  Revealing global regulatory perturbations across human cancers.

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9.  Motif Enrichment Analysis: a unified framework and an evaluation on ChIP data.

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Journal:  BMC Bioinformatics       Date:  2010-04-01       Impact factor: 3.169

10.  DISCOVER: a feature-based discriminative method for motif search in complex genomes.

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Journal:  Bioinformatics       Date:  2009-06-15       Impact factor: 6.937

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