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]Key Lab of Neurological Disorder of Education Ministry, Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P. R. China[4]Collaborative Innovation Center for Brain Science, The Institute of Brain Research, Huazhong University of Science and Technology, Wuhan, P. R. China
Stroke is one of the most destructive complications of sickle cell disease (SCD), and SCD is also the most common cause of childhood stroke. Sickle cell stroke is complex and has a genetic endothelial basis. Here, we further investigated this genetic basis using weighted gene coexpression network analysis. This systems biology approach revealed the correlation between coexpressed gene modules and sickle stroke risk. The pink module was significantly correlated with stroke risk and genes in this module were mainly related to GO:0044877 (protein-containing complex binding). In addition hub genes were identified through protein-protein interaction enrichment analysis, including CXCR7, VCAM1, CD44, BMP2, SMAD3, BCL2L1, ITPR2, ITPR3, etc. These hub genes were significantly enriched for three Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways including "gastric acid secretion," "pathways in cancer," and "TGF- beta signaling pathway." Altogether, our results based on this innovative method provided some novel understanding of the pathology of sickle cell stroke. Hub genes identified in this study could be potential targets for screening and prevention of stroke risk in SCD children.
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
共同第一作者:
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,wang juan,hu fan,et al.Gene coexpression networks analysis of sickle stroke risk[J].JOURNAL OF CELLULAR BIOCHEMISTRY.2019,120(9):15182-15189.doi:10.1002/jcb.28780.
APA:
liu,fang-fang,wang,juan,hu,fan,wei,qing&li,ke.(2019).Gene coexpression networks analysis of sickle stroke risk.JOURNAL OF CELLULAR BIOCHEMISTRY,120,(9)
MLA:
liu,fang-fang,et al."Gene coexpression networks analysis of sickle stroke risk".JOURNAL OF CELLULAR BIOCHEMISTRY 120..9(2019):15182-15189