Understanding platelets - Lessons from proteomics, genomics and promises from network analysis

被引:32
作者
Dittrich, M
Birschmann, I
Stuhlfelder, C
Sickmann, A
Herterich, S
Nieswandt, B
Walter, U
Dandekar, T [1 ]
机构
[1] Univ Wurzburg, Bioctr, Dept Bioinformat, D-97070 Wurzburg, Germany
[2] Univ Wurzburg, Dept Clin Biochem & Pathobiochem, D-97070 Wurzburg, Germany
[3] Univ Wurzburg, Rudolf Virchow Ctr Expt Biomed, D-97070 Wurzburg, Germany
[4] EMBL, Heidelberg, Germany
关键词
pathway; mass spectrometry; transcriptome; platelet; post-transcriptional; coagulation; hemostasis;
D O I
10.1160/Th05-02-0121
中图分类号
R5 [内科学];
学科分类号
1002 [临床医学]; 100201 [内科学];
摘要
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.
引用
收藏
页码:916 / 925
页数:10
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