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pubmed-article:16363231pubmed:dateCreated2005-12-20lld:pubmed
pubmed-article:16363231pubmed:abstractTextNew 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.lld:pubmed
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pubmed-article:16363231pubmed:authorpubmed-author:NieswandtBern...lld:pubmed
pubmed-article:16363231pubmed:authorpubmed-author:WalterUlrichUlld:pubmed
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pubmed-article:16363231pubmed:authorpubmed-author:DittrichMarcu...lld:pubmed
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pubmed-article:16363231pubmed:volume94lld:pubmed
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pubmed-article:16363231pubmed:pagination916-25lld:pubmed
pubmed-article:16363231pubmed:dateRevised2009-11-3lld:pubmed
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pubmed-article:16363231pubmed:year2005lld:pubmed
pubmed-article:16363231pubmed:articleTitleUnderstanding platelets. Lessons from proteomics, genomics and promises from network analysis.lld:pubmed
pubmed-article:16363231pubmed:affiliationDepartment of Bioinformatics, Biocenter, University of Würzburg, Würzburg, Germany.lld:pubmed
pubmed-article:16363231pubmed:publicationTypeJournal Articlelld:pubmed
pubmed-article:16363231pubmed:publicationTypeReviewlld:pubmed
pubmed-article:16363231pubmed:publicationTypeResearch Support, Non-U.S. Gov'tlld:pubmed
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