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Comprehensive Proteome Profiling of Platelet Identified a Protein Profile Predictive of Responses to An Antiplatelet Agent Sarpogrelate

Title
Comprehensive Proteome Profiling of Platelet Identified a Protein Profile Predictive of Responses to An Antiplatelet Agent Sarpogrelate
Authors
Lee, H[Lee, Hangyeore]Chae, S[Chae, Sehyun]Park, J[Park, Jisook]Bae, J[Bae, Jingi]Go, EB[Go, Eun-Bi]Kim, SJ[Kim, Su-Jin]Kim, H[Kim, Hokeun]Hwang, D[Hwang, Daehee]Lee, SW[Lee, Sang-Won]Lee, SY[Lee, Soo-Youn]
DGIST Authors
Chae, S[Chae, Sehyun]; Hwang, D[Hwang, Daehee]
Issue Date
2016-11
Citation
Molecular and Cellular Proteomics, 15(11), 3461-3472
Type
Article
Article Type
Article
ISSN
1535-9476
Abstract
Sarpogrelate is an antiplatelet agent widely used to treat arterial occlusive diseases. Evaluation of platelet aggregation is essential to monitor therapeutic effects of sarpogrelate. Currently, no molecular signatures are available to evaluate platelet aggregation. Here, we performed comprehensive proteome profiling of platelets collected from 18 subjects before and after sarpogrelate administration using LC-MS/MS analysis coupled with extensive fractionation. Of 5423 proteins detected, we identified 499 proteins affected by sarpogrelate and found that they strongly represented cellular processes related to platelet activation and aggregation, including cell activation, coagulation, and vesicle-mediated transports. Based on the network model of the proteins involved in these processes, we selected three proteins (cut-like homeobox 1; coagulation factor XIII, B polypeptide; and peptidylprolyl isomerase D) that reflect the platelet aggregation-related processes after confirming their alterations by sarpogrelate in independent samples using Western blotting. Our proteomic approach provided a protein profile predictive of therapeutic effects of sarpogrelate. © 2016 by The American Society for Biochemistry and Molecular Biology, Inc.
URI
http://hdl.handle.net/20.500.11750/2165
DOI
10.1074/mcp.M116.059154
Publisher
American Society for Biochemistry and Molecular Biology Inc.
Related Researcher
  • Author Hwang, Dae Hee Systems Biology and Medicine Lab
  • Research Interests Multilayered spatiotemporal networks; Regulatory motifs or pathways; Metabolite-protein networks; Network stochasticity; Proteomics and informatics
Files:
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Collection:
New BiologyETC1. Journal Articles


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