Publication Date:
2002-07-13
Description:
Specific short oligonucleotide sequences that enhance pre-mRNA splicing when present in exons, termed exonic splicing enhancers (ESEs), play important roles in constitutive and alternative splicing. A computational method, RESCUE-ESE, was developed that predicts which sequences have ESE activity by statistical analysis of exon-intron and splice site composition. When large data sets of human gene sequences were used, this method identified 10 predicted ESE motifs. Representatives of all 10 motifs were found to display enhancer activity in vivo, whereas point mutants of these sequences exhibited sharply reduced activity. The motifs identified enable prediction of the splicing phenotypes of exonic mutations in human genes.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Fairbrother, William G -- Yeh, Ru-Fang -- Sharp, Phillip A -- Burge, Christopher B -- 1 R01 HG02439-01/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2002 Aug 9;297(5583):1007-13. Epub 2002 Jul 11.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biology, Center for Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/12114529" target="_blank"〉PubMed〈/a〉
Keywords:
Computational Biology
;
Consensus Sequence
;
DNA, Complementary
;
Databases, Nucleic Acid
;
*Exons
;
*Genes
;
*Genome, Human
;
Humans
;
Hypoxanthine Phosphoribosyltransferase/genetics
;
Introns
;
Oligonucleotides/genetics
;
Point Mutation
;
*RNA Splicing
;
*Regulatory Sequences, Nucleic Acid
;
Sequence Analysis, DNA
Print ISSN:
0036-8075
Electronic ISSN:
1095-9203
Topics:
Biology
,
Chemistry and Pharmacology
,
Computer Science
,
Medicine
,
Natural Sciences in General
,
Physics
