Linked Life Data

20944666

Source:http://linkedlifedata.com/resource/pubmed/id/20944666

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
11
pubmed:dateCreated
2010-10-22
pubmed:abstractText
Proteomes, the ensembles of all proteins expressed by cells or tissues, are typically analysed by mass spectrometry. Recent technical and computational advances have greatly increased the fraction of a proteome that can be identified and quantified in a single study. Current mass spectrometry-based proteomic strategies have the potential to reproducibly, accurately, quantitatively and comprehensively measure any protein or whole proteomes from cells and tissues at different states. Achieving these goals will require complete proteome maps and analytical strategies that use these maps as prior information and will greatly enhance the impact of proteomics on biological and clinical research.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Nov
pubmed:issn
1471-0080
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
11
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
789-801
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
Generating and navigating proteome maps using mass spectrometry.
pubmed:affiliation
Quantitative Model Organism Proteomics, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland. christian.ahrens@imls.uzh.ch
pubmed:publicationType
Journal Article, Review, Research Support, Non-U.S. Gov't