Linked Life Data

16363231

Source:http://linkedlifedata.com/resource/pubmed/id/16363231

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
2005-12-20
pubmed:abstractText
New large-scale analysis techniques such as bioinformatics, mass spectrometry and SAGE data analysis will allow a new framework for understanding platelets. This review analyses some important options and tasks for these tools and examines an outline of the new, refined picture of the platelet outlined by these new techniques. Looking at the platelet-specific building blocks of genome, (active) transcriptome and proteome (notably secretome and phospho-proteome), we summarize current bioinformatical and biochemical approaches, tasks as well as their limitations. Understanding the surprisingly complex platelet regarding compartmentalization, key cascades, and pathways including clinical implications will remain an exciting and hopefully fruitful challenge for the future.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Nov
pubmed:issn
0340-6245
pubmed:author
pubmed:issnType
Print
pubmed:volume
94
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
916-25
pubmed:dateRevised
2009-11-3
pubmed:meshHeading
pubmed:year
2005
pubmed:articleTitle
Understanding platelets. Lessons from proteomics, genomics and promises from network analysis.
pubmed:affiliation
Department of Bioinformatics, Biocenter, University of Würzburg, Würzburg, Germany.
pubmed:publicationType
Journal Article, Review, Research Support, Non-U.S. Gov't