Coexpression network analysis of platelet genes in sickle cell disease
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,...
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2019-11-01
|
| Series: | Platelets |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/09537104.2018.1562170 |
| _version_ | 1827816924482895872 |
|---|---|
| author | Fang-Fang Liu Tong-Tao Tu Hong-Feng Zhang Fan Hu Liang Huang Lin-Feng Deng Mao Guo Qing Wei Ke Li |
| author_facet | Fang-Fang Liu Tong-Tao Tu Hong-Feng Zhang Fan Hu Liang Huang Lin-Feng Deng Mao Guo Qing Wei Ke Li |
| author_sort | Fang-Fang Liu |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-12T00:27:10Z |
| format | Article |
| id | doaj.art-9010d008c3d645328044ea2f53f4e1e0 |
| institution | Directory Open Access Journal |
| issn | 0953-7104 1369-1635 |
| language | English |
| last_indexed | 2024-03-12T00:27:10Z |
| publishDate | 2019-11-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Platelets |
| spelling | doaj.art-9010d008c3d645328044ea2f53f4e1e02023-09-15T10:32:01ZengTaylor & Francis GroupPlatelets0953-71041369-16352019-11-013081022102910.1080/09537104.2018.15621701562170Coexpression network analysis of platelet genes in sickle cell diseaseFang-Fang Liu0Tong-Tao Tu1Hong-Feng Zhang2Fan Hu3Liang Huang4Lin-Feng Deng5Mao Guo6Qing Wei7Ke Li8Tongji Medical College, Huazhong University of Science and TechnologyTongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyTongji Medical College, Huazhong University of Science and TechnologySchool of Basic Medicine, Tongji Medical College, Huazhong University of Science and TechnologyTongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyTongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyTongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyTongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyTongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyPlatelets 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.http://dx.doi.org/10.1080/09537104.2018.1562170platelet activationsickle cell diseasewgcna |
| spellingShingle | Fang-Fang Liu Tong-Tao Tu Hong-Feng Zhang Fan Hu Liang Huang Lin-Feng Deng Mao Guo Qing Wei Ke Li Coexpression network analysis of platelet genes in sickle cell disease Platelets platelet activation sickle cell disease wgcna |
| title | Coexpression network analysis of platelet genes in sickle cell disease |
| title_full | Coexpression network analysis of platelet genes in sickle cell disease |
| title_fullStr | Coexpression network analysis of platelet genes in sickle cell disease |
| title_full_unstemmed | Coexpression network analysis of platelet genes in sickle cell disease |
| title_short | Coexpression network analysis of platelet genes in sickle cell disease |
| title_sort | coexpression network analysis of platelet genes in sickle cell disease |
| topic | platelet activation sickle cell disease wgcna |
| url | http://dx.doi.org/10.1080/09537104.2018.1562170 |
| work_keys_str_mv | AT fangfangliu coexpressionnetworkanalysisofplateletgenesinsicklecelldisease AT tongtaotu coexpressionnetworkanalysisofplateletgenesinsicklecelldisease AT hongfengzhang coexpressionnetworkanalysisofplateletgenesinsicklecelldisease AT fanhu coexpressionnetworkanalysisofplateletgenesinsicklecelldisease AT lianghuang coexpressionnetworkanalysisofplateletgenesinsicklecelldisease AT linfengdeng coexpressionnetworkanalysisofplateletgenesinsicklecelldisease AT maoguo coexpressionnetworkanalysisofplateletgenesinsicklecelldisease AT qingwei coexpressionnetworkanalysisofplateletgenesinsicklecelldisease AT keli coexpressionnetworkanalysisofplateletgenesinsicklecelldisease |