Linked Life Data

18451266

Source:http://linkedlifedata.com/resource/pubmed/id/18451266

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5881
pubmed:dateCreated
2008-6-6
pubmed:databankReference
pubmed:abstractText
The identification of untranslated regions, introns, and coding regions within an organism remains challenging. We developed a quantitative sequencing-based method called RNA-Seq for mapping transcribed regions, in which complementary DNA fragments are subjected to high-throughput sequencing and mapped to the genome. We applied RNA-Seq to generate a high-resolution transcriptome map of the yeast genome and demonstrated that most (74.5%) of the nonrepetitive sequence of the yeast genome is transcribed. We confirmed many known and predicted introns and demonstrated that others are not actively used. Alternative initiation codons and upstream open reading frames also were identified for many yeast genes. We also found unexpected 3'-end heterogeneity and the presence of many overlapping genes. These results indicate that the yeast transcriptome is more complex than previously appreciated.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
1095-9203
pubmed:author
pubmed:issnType
Electronic
pubmed:day
6
pubmed:volume
320
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1344-9
pubmed:dateRevised
2011-6-16
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
The transcriptional landscape of the yeast genome defined by RNA sequencing.
pubmed:affiliation
Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, CT 06520, USA.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't, Research Support, N.I.H., Extramural