title: Understanding platelets. Lessons from proteomics, genomics and promises from network analysis.
abstract: 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.
authors.affiliation: Department of Bioinformatics, Biocenter, University of Würzburg, Würzburg, Germany.
authors.forename: Marcus
authors.initials: M
authors.lastname: Dittrich
authors.forename: Ingvild
authors.initials: I
authors.lastname: Birschmann
authors.forename: Christiane
authors.initials: C
authors.lastname: Stuhlfelder
authors.forename: Albert
authors.initials: A
authors.lastname: Sickmann
authors.forename: Sabine
authors.initials: S
authors.lastname: Herterich
authors.forename: Bernhard
authors.initials: B
authors.lastname: Nieswandt
authors.forename: Ulrich
authors.initials: U
authors.lastname: Walter
authors.forename: Thomas
authors.initials: T
authors.lastname: Dandekar
mesh_terms: D000818:Animals; D001792:Blood Platelets / Q000502:physiology*; D019295:Computational Biology; D023281:Genomics; D006487:Hemostasis / Q000502:physiology*; D006801:Humans; D040901:Proteomics