单位:[1]Department of Pathology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P. R. China[2]Department of Blood Transfusion, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P. R. China华中科技大学同济医学院附属同济医院输血科[3]Department of Pathophysiology, Key Lab of Neurological Disorder of Education Ministry, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P. R. China[4]The Institute of Brain Research, Collaborative Innovation Center for Brain Science, Huazhong University of Science and Technology, Wuhan, P. R.China
Platelets play important roles in vascular health. Activation of platelet may contribute to coagulation and inflammation. Evidence suggests circulating platelets are chronically activated in sickle cell disease (SCD) patients with steady state and further activated in vaso-occlusive crisis. However, the molecular basis of sickle platelet dysfunction remains obscure. Here, we used weighted gene coexpression network analysis combined with differentially expressed genes (DEGs) analysis to further investigate this basis. We found 57 DEGs were closely related to platelet dysfunction in SCD. Enrichment analysis showed that these 57 genes were mostly related to protein synthesis, adenosine triphosphate (ATP) synthase activity and inflammation, suggesting a hyperactivation status of platelets in SCD. We identified six hub genes from the 57 DEGs according to their Gene Significance value ranking, including CRYM, CCT6P1, SUCNR1, PRKAB2, GSTM3 and FCGR2C. Altogether, our results offered some new insight into platelet activation and identified novel potential targets for antiplatelet therapy in SCD.
第一作者单位:[1]Department of Pathology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P. R. China
通讯作者:
通讯机构:[2]Department of Blood Transfusion, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P. R. China
推荐引用方式(GB/T 7714):
liu fang-fang,tu tong-tao,zhang hong-feng,et al.Coexpression network analysis of platelet genes in sickle cell disease[J].PLATELETS.2019,30(8):1022-1029.doi:10.1080/09537104.2018.1562170.
APA:
liu,fang-fang,tu,tong-tao,zhang,hong-feng,hu,fan,huang,liang...&li,ke.(2019).Coexpression network analysis of platelet genes in sickle cell disease.PLATELETS,30,(8)
MLA:
liu,fang-fang,et al."Coexpression network analysis of platelet genes in sickle cell disease".PLATELETS 30..8(2019):1022-1029