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