Linked Life Data

8944025

Source:http://linkedlifedata.com/resource/pubmed/id/8944025

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
1997-1-2
pubmed:databankReference
pubmed:abstractText
A quantitative and highly parallel method for analysing deletion mutants has been developed to aid in determining the biological function of thousands of newly identified open reading frames (ORFs) in Saccharomyces cerevisiae. This approach uses a PCR targeting strategy to generate large numbers of deletion strains. Each deletion strain is labelled with a unique 20-base tag sequence that can be detected by hybridization to a high-density oligonucleotide array. The tags serve as unique identifiers (molecular bar codes) that allow analysis of large numbers of deletion strains simultaneously through selective growth conditions. Hybridization experiments show that the arrays are specific, sensitive and quantitative. A pilot study with 11 known yeast genes suggests that the method can be extended to include all of the ORFs in the yeast genome, allowing whole genome analysis with a single selective growth condition and a single hybridization.
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
1061-4036
pubmed:author
pubmed:issnType
Print
pubmed:volume
14
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
450-6
pubmed:dateRevised
2001-11-26
pubmed:meshHeading
pubmed:year
1996
pubmed:articleTitle
Quantitative phenotypic analysis of yeast deletion mutants using a highly parallel molecular bar-coding strategy.
pubmed:affiliation
Department of Biochemistry, Beckman Center, Stanford University Medical Center, CA 94305, USA.
pubmed:publicationType
Journal Article