Literature DB >> 18799692

Ab initio identification of functionally interacting pairs of cis-regulatory elements.

Brad A Friedman1, Michael B Stadler, Noam Shomron, Ye Ding, Christopher B Burge.   

Abstract

Cooperatively acting pairs of cis-regulatory elements play important roles in many biological processes. Here, we describe a statistical approach, compositionally orthogonalized co-occurrence analysis (coCOA) that detects pairs of oligonucleotides that preferentially co-occur in pairs of sequence regions, controlling for correlations between the compositions of the analyzed regions. coCOA identified three clusters of oligonucleotide pairs that frequently co-occur at 5' and 3' ends of human and mouse introns. The largest cluster involved GC-rich sequences at the 5' ends of introns that co-occur and are co-conserved with specific AU-rich sequences near intron 3' ends. These motifs are preferentially conserved when they occur together, as measured by a new co-conservation measure, supporting common in vivo function. These motif pairs are also enriched in introns flanking alternative "cassette" exons, suggesting a role in silencing of intervening exons, and we showed that these motifs can cooperatively silence splicing of an intervening exon in a splicing reporter assay. This approach can be easily generalized to problems beyond RNA splicing.

Entities:  

Mesh:

Year:  2008        PMID: 18799692      PMCID: PMC2556269          DOI: 10.1101/gr.080085.108

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


  44 in total

1.  Identifying target sites for cooperatively binding factors.

Authors:  D GuhaThakurta; G D Stormo
Journal:  Bioinformatics       Date:  2001-07       Impact factor: 6.937

2.  Identifying regulatory networks by combinatorial analysis of promoter elements.

Authors:  Y Pilpel; P Sudarsanam; G M Church
Journal:  Nat Genet       Date:  2001-10       Impact factor: 38.330

3.  The human genome browser at UCSC.

Authors:  W James Kent; Charles W Sugnet; Terrence S Furey; Krishna M Roskin; Tom H Pringle; Alan M Zahler; David Haussler
Journal:  Genome Res       Date:  2002-06       Impact factor: 9.043

4.  The RNA-binding protein TIA-1 is a novel mammalian splicing regulator acting through intron sequences adjacent to a 5' splice site.

Authors:  F Del Gatto-Konczak; C F Bourgeois; C Le Guiner; L Kister; M C Gesnel; J Stévenin; R Breathnach
Journal:  Mol Cell Biol       Date:  2000-09       Impact factor: 4.272

5.  Predictive identification of exonic splicing enhancers in human genes.

Authors:  William G Fairbrother; Ru-Fang Yeh; Phillip A Sharp; Christopher B Burge
Journal:  Science       Date:  2002-07-11       Impact factor: 47.728

6.  Predicting transcription factor synergism.

Authors:  Sridhar Hannenhalli; Samuel Levy
Journal:  Nucleic Acids Res       Date:  2002-10-01       Impact factor: 16.971

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

Authors:  Saurabh Sinha; Adam S Adler; Yair Field; Howard Y Chang; Eran Segal
Journal:  Genome Res       Date:  2008-02-06       Impact factor: 9.043

Review 8.  The poly(C)-binding proteins: a multiplicity of functions and a search for mechanisms.

Authors:  Aleksandr V Makeyev; Stephen A Liebhaber
Journal:  RNA       Date:  2002-03       Impact factor: 4.942

9.  High-affinity hnRNP A1 binding sites and duplex-forming inverted repeats have similar effects on 5' splice site selection in support of a common looping out and repression mechanism.

Authors:  Faiz-Ul Hassan Nasim; Stephen Hutchison; Mélanie Cordeau; Benoit Chabot
Journal:  RNA       Date:  2002-08       Impact factor: 4.942

Review 10.  Finding signals that regulate alternative splicing in the post-genomic era.

Authors:  Andrea N Ladd; Thomas A Cooper
Journal:  Genome Biol       Date:  2002-10-23       Impact factor: 13.583

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  11 in total

1.  Context-dependent splicing regulation: exon definition, co-occurring motif pairs and tissue specificity.

Authors:  Shengdong Ke; Lawrence A Chasin
Journal:  RNA Biol       Date:  2011-05-01       Impact factor: 4.652

Review 2.  Networking in a global world: establishing functional connections between neural splicing regulators and their target transcripts.

Authors:  John A Calarco; Mei Zhen; Benjamin J Blencowe
Journal:  RNA       Date:  2011-03-17       Impact factor: 4.942

3.  Quantitative evaluation of all hexamers as exonic splicing elements.

Authors:  Shengdong Ke; Shulian Shang; Sergey M Kalachikov; Irina Morozova; Lin Yu; James J Russo; Jingyue Ju; Lawrence A Chasin
Journal:  Genome Res       Date:  2011-06-09       Impact factor: 9.043

4.  A network of conserved co-occurring motifs for the regulation of alternative splicing.

Authors:  Mikita Suyama; Eoghan D Harrington; Svetlana Vinokourova; Magnus von Knebel Doeberitz; Osamu Ohara; Peer Bork
Journal:  Nucleic Acids Res       Date:  2010-08-11       Impact factor: 16.971

5.  Splicing factor SFRS1 recognizes a functionally diverse landscape of RNA transcripts.

Authors:  Jeremy R Sanford; Xin Wang; Matthew Mort; Natalia Vanduyn; David N Cooper; Sean D Mooney; Howard J Edenberg; Yunlong Liu
Journal:  Genome Res       Date:  2008-12-30       Impact factor: 9.043

6.  Loss of LUC7L2 and U1 snRNP subunits shifts energy metabolism from glycolysis to OXPHOS.

Authors:  Alexis A Jourdain; Bridget E Begg; Eran Mick; Hardik Shah; Sarah E Calvo; Owen S Skinner; Rohit Sharma; Steven M Blue; Gene W Yeo; Christopher B Burge; Vamsi K Mootha
Journal:  Mol Cell       Date:  2021-04-13       Impact factor: 17.970

7.  Intronic motif pairs cooperate across exons to promote pre-mRNA splicing.

Authors:  Shengdong Ke; Lawrence A Chasin
Journal:  Genome Biol       Date:  2010-08-12       Impact factor: 13.583

Review 8.  Pick one, but be quick: 5' splice sites and the problems of too many choices.

Authors:  Xavier Roca; Adrian R Krainer; Ian C Eperon
Journal:  Genes Dev       Date:  2013-01-15       Impact factor: 11.361

9.  A biophysical model for identifying splicing regulatory elements and their interactions.

Authors:  Ji Wen; Zhibin Chen; Xiaodong Cai
Journal:  PLoS One       Date:  2013-01-30       Impact factor: 3.240

10.  CoSREM: a graph mining algorithm for the discovery of combinatorial splicing regulatory elements.

Authors:  Eman Badr; Lenwood S Heath
Journal:  BMC Bioinformatics       Date:  2015-09-04       Impact factor: 3.169

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