Linked Life Data

10942595

Source:http://linkedlifedata.com/resource/pubmed/id/10942595

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2000-9-20
pubmed:abstractText
The human cDNA and genomic sequencing projects will result in the identification and isolation of some 140,000 genes, the majority of which lack predicted functions and for which the cellular localizations are not known. The identification and characterization of protein components of specific cell structures and machineries are essential steps not only toward defining functions of genes but also toward understanding cell function and regulation. We describe here a new approach, termed PROLOC, which uses full-length cDNAs for systematic classification of novel proteins as a functional pointer. We have PCR-amplified 25 uncharacterized human genes and expressed the encoded proteins as GFP fusions in a human cell line. This pilot project has identified novel proteins associated with the nucleolus, mitochondria, the ER, the ER-Golgi-intermediate compartment (ERGIC), the GC, the plasma membrane, and cytoplasmic foci. This visual classification approach may be scaled up to handle a large number of novel genes and permit the generation of a global cellular protein localization map. Such information should be valuable for many aspects of functional genomics and cell biology.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
0014-4827
pubmed:author
pubmed:copyrightInfo
Copyright 2000 Academic Press.
pubmed:issnType
Print
pubmed:day
25
pubmed:volume
259
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
239-46
pubmed:dateRevised
2009-11-19
pubmed:meshHeading
pubmed:year
2000
pubmed:articleTitle
A visual intracellular classification strategy for uncharacterized human proteins.
pubmed:affiliation
Center for Genomics Research, Karolinska Institutet, Nobels väg 3, Stockholm, S-171 77, Sweden.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't