Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2007-4-3
pubmed:databankReference
pubmed:abstractText
The prediction of gene models from genome sequence remains an unsolved problem. One hallmark of eukaryotic gene structure is the presence of introns, which are spliced out of pre-mRNAs prior to translation. The excised introns are released in the form of lariats, which must be debranched prior to their turnover. In the yeast Saccharomyces cerevisiae, the absence of the debranching enzyme causes these lariat RNAs to accumulate. This accumulation allows a comparison of tiling array signals of RNA from the debranching mutant to the wild-type parent strain, and thus the identification of lariats on a genome-wide scale. This approach identified 141 of 272 known introns, confirmed three previously predicted introns, predicted four novel introns (of which two were experimentally confirmed), and led to the reannotation of four others. In many instances, signals from the tiling array delineated the 5' splice site and branchpoint site, confirming predicted gene structures. Nearly all introns that went undetected are present in mRNAs expressed at low levels. Overall, 97% of the significant probes could be attributed either to spliced introns or to genes up-regulated by deletion of the debranching enzyme. Because the debranching enzyme is conserved among eukaryotes, this approach could be generally applicable for the annotation of eukaryotic genes and the detection of novel and alternative splice forms.
pubmed:grant
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/17351133-10024174, http://linkedlifedata.com/resource/pubmed/commentcorrection/17351133-10734188, http://linkedlifedata.com/resource/pubmed/commentcorrection/17351133-10983980, http://linkedlifedata.com/resource/pubmed/commentcorrection/17351133-11101837, http://linkedlifedata.com/resource/pubmed/commentcorrection/17351133-11237011, http://linkedlifedata.com/resource/pubmed/commentcorrection/17351133-11572975, http://linkedlifedata.com/resource/pubmed/commentcorrection/17351133-11988574, http://linkedlifedata.com/resource/pubmed/commentcorrection/17351133-11988577, http://linkedlifedata.com/resource/pubmed/commentcorrection/17351133-12073325, http://linkedlifedata.com/resource/pubmed/commentcorrection/17351133-12748633, http://linkedlifedata.com/resource/pubmed/commentcorrection/17351133-12775844, http://linkedlifedata.com/resource/pubmed/commentcorrection/17351133-12844361, http://linkedlifedata.com/resource/pubmed/commentcorrection/17351133-12883005, http://linkedlifedata.com/resource/pubmed/commentcorrection/17351133-14681421, http://linkedlifedata.com/resource/pubmed/commentcorrection/17351133-14684825, http://linkedlifedata.com/resource/pubmed/commentcorrection/17351133-14993201, http://linkedlifedata.com/resource/pubmed/commentcorrection/17351133-15516930, http://linkedlifedata.com/resource/pubmed/commentcorrection/17351133-16232320, http://linkedlifedata.com/resource/pubmed/commentcorrection/17351133-16314266, http://linkedlifedata.com/resource/pubmed/commentcorrection/17351133-16339376, http://linkedlifedata.com/resource/pubmed/commentcorrection/17351133-16365383, http://linkedlifedata.com/resource/pubmed/commentcorrection/17351133-16381856, http://linkedlifedata.com/resource/pubmed/commentcorrection/17351133-16428248, http://linkedlifedata.com/resource/pubmed/commentcorrection/17351133-16506099, http://linkedlifedata.com/resource/pubmed/commentcorrection/17351133-16527929, http://linkedlifedata.com/resource/pubmed/commentcorrection/17351133-16569694, http://linkedlifedata.com/resource/pubmed/commentcorrection/17351133-16791208, http://linkedlifedata.com/resource/pubmed/commentcorrection/17351133-16859498, http://linkedlifedata.com/resource/pubmed/commentcorrection/17351133-16951679, http://linkedlifedata.com/resource/pubmed/commentcorrection/17351133-17101987, http://linkedlifedata.com/resource/pubmed/commentcorrection/17351133-1840507, http://linkedlifedata.com/resource/pubmed/commentcorrection/17351133-1850323, http://linkedlifedata.com/resource/pubmed/commentcorrection/17351133-9851916
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Apr
pubmed:issn
1088-9051
pubmed:author
pubmed:issnType
Print
pubmed:volume
17
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
503-9
pubmed:dateRevised
2009-11-18
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
Genome-wide identification of spliced introns using a tiling microarray.
pubmed:affiliation
Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195, USA.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't, Research Support, N.I.H., Extramural