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Originally published in Science Express on 11 July 2002
Science 9 August 2002: Vol. 297. no. 5583, pp. 1007 - 1013
DOI: 10.1126/science.1073774
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Reports
Predictive Identification of Exonic Splicing Enhancers in Human Genes
William G. Fairbrother,12*
Ru-Fang Yeh,1*
Phillip A. Sharp,12
Christopher B. Burge1
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.
1 Department of Biology,
2 Center for Cancer Research, Massachusetts
Institute of Technology, Cambridge, MA 02139, USA.
*
These authors contributed equally to this work.
To whom correspondence should be addressed. E-mail:
cburge{at}mit.edu
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