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DOI: 10.1160/TH05-02-0121
Understanding platelets
Lessons from proteomics, genomics and promises from network analysis Financial support: The original research of the authors is supported by the Deutsche Forschungsgemeinschaft.Publikationsverlauf
Received: 20. Februar 2005
Accepted after resubmission: 03. August 2005
Publikationsdatum:
14. Dezember 2017 (online)
![](https://www.thieme-connect.de/media/10.1055-s-00035024/200505/lookinside/thumbnails/10-1160-th05-02-0121-1.jpg)
Summary
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.
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