Predictive identification of exonic splicing enhancers in human genes. Export

@article{citeulike:240100, abstract = {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.}, address = {Department of Biology, Center for Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.}, author = {Fairbrother, W. G. and Yeh, R. F. and Sharp, P. A. and Burge, C. B.}, citeulike-article-id = {240100}, citeulike-linkout-0 = {http://dx.doi.org/10.1126/science.1073774}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/12114529}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=12114529}, comment = {Key paper on RESCUE-ESE}, day = {9}, doi = {10.1126/science.1073774}, issn = {1095-9203}, journal = {Science}, keywords = {eses}, month = {August}, number = {5583}, pages = {1007--1013}, posted-at = {2006-07-11 16:36:42}, priority = {2}, title = {Predictive identification of exonic splicing enhancers in human genes.}, url = {http://dx.doi.org/10.1126/science.1073774}, volume = {297}, year = {2002} }

TY - JOUR ID - citeulike:240100 L3 - citeulike-article-id:240100 N2 - 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. IS - 5583 JF - Science SN - 1095-9203 AD - Department of Biology, Center for Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. EP - 1013 TI - Predictive identification of exonic splicing enhancers in human genes. VL - 297 SP - 1007 KW - eses N1 - Key paper on RESCUE-ESE AU - Fairbrother, WG AU - Yeh, RF AU - Sharp, PA AU - Burge, CB PY - 2002/08/09/ UR - http://dx.doi.org/10.1126/science.1073774 ER -