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Comprehensive Proteome Profiling of Platelet Identified a Protein Profile Predictive of Responses to An Antiplatelet Agent Sarpogrelate
- Comprehensive Proteome Profiling of Platelet Identified a Protein Profile Predictive of Responses to An Antiplatelet Agent Sarpogrelate
- 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
- Molecular and Cellular Proteomics, 15(11), 3461-3472
- Article Type
- 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.
- American Society for Biochemistry and Molecular Biology Inc.
- Related Researcher
Hwang, Dae Hee
Systems Biology and Medicine Lab
Multilayered spatiotemporal networks; Regulatory motifs or pathways; Metabolite-protein networks; Network stochasticity; Proteomics and informatics
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