个人科研网厅 | | 帮助
高级检索
当前位置： 首页 > 详情页

Identification of hub genes and key signaling pathways by weighted gene co-expression network analysis for human aortic stenosis and insufficiency

| 导出 | |

文献详情

资源类型：
WOS体系：
Pubmed体系：

收录情况： ◇ SCIE

作者：
Yang Yang[1,2,3,4,5] * ; Xiao Bing[6] ; Feng Xin[1] ; Chen Yue[1] ; Wang Qunhui[1] ; Fang Jing[1] ; Zhou Ping[2,3,4,5] ; Wei Xiang[1] ; Cheng Lin[1] ;
单位： [1]Division of Cardiothoracic and Vascular Surgery,Tongji Hospital,Tongji Medical College,Huazhong University of Science and Technology,Wuhan,China. [2]Institute of Organ Transplantation,Tongji Hospital,Tongji Medical College,Huazhong University of Science and Technology,Wuhan,China. [3]Key Laboratory of Organ Transplantation, Ministry of Education, Wuhan, China. [4]NHC Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan, China. [5]Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan, China. [6]Department of Obstetrics and Gynecology, Peking University People's Hospital, Peking University, Beijing, China.
出处：
DOI： 10.3389/fcvm.2023.857578
ISSN：

关键词： aortic valve stenosis aortic valve insufficiency heart failure WGCNA co-expression modules hub genes

摘要：
Human aortic valve stenosis (AS) and insufficiency (AI) are common diseases in aging population. Identifying the molecular regulatory networks of AS and AI is expected to offer novel perspectives for AS and AI treatment.Highly correlated modules with the progression of AS and AI were identified by weighted genes co-expression network analysis (WGCNA). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed by the clusterProfiler program package. Differentially expressed genes (DEGs) were identified by the DESeqDataSetFromMatrix function of the DESeq2 program package. The protein-protein interaction (PPI) network analyses were implemented using the STRING online tool and visualized with Cytoscape software. The DEGs in AS and AI groups were overlapped with the top 30 genes with highest connectivity to screen out ten hub genes. The ten hub genes were verified by analyzing the data in high throughput RNA-sequencing dataset and real-time PCR assay using AS and AI aortic valve samples.By WGCNA algorithm, 302 highly correlated genes with the degree of AS, degree of AI, and heart failure were identified from highly correlated modules. GO analyses showed that highly correlated genes had close relationship with collagen fibril organization, extracellular matrix organization and extracellular structure organization. KEGG analyses also manifested that protein digestion and absorption, and glutathione metabolism were probably involved in AS and AI pathological courses. Moreover, DEGs were picked out for 302 highly correlated genes in AS and AI groups relative to the normal control group. The PPI network analyses indicated the connectivity among these highly correlated genes. Finally, ten hub genes (CD74, COL1A1, TXNRD1, CCND1, COL5A1, SERPINH1, BCL6, ITGA10, FOS, and JUNB) in AS and AI were found out and verified.Our study may provide the underlying molecular targets for the mechanism research, diagnosis, and treatment of AS and AI in the future.© 2023 Yang, Xiao, Feng, Chen, Wang, Fang, Zhou, Wei and Cheng.

基金：
This work was supported by the National Natural Science Foundation of China (NO. 82070488, NO. 81873458, NO. 81800256).
语种：
外文
WOS：
PubmedID：
中科院(CAS)分区：
出版当年[2022]版：
大类 | 3 区 医学
小类 | 3 区 心脏和心血管系统
最新[2025]版：
大类 | 3 区 医学
小类 | 3 区 心脏和心血管系统
JCR分区：
出版当年[2021]版：
Q2 CARDIAC & CARDIOVASCULAR SYSTEMS
最新[2023]版：
Q2 CARDIAC & CARDIOVASCULAR SYSTEMS

影响因子： 最新[2023版] 最新五年平均 出版当年[2021版] 出版当年五年平均 出版前一年[2020版] 出版后一年[2022版]

第一作者：
第一作者单位： [1]Division of Cardiothoracic and Vascular Surgery,Tongji Hospital,Tongji Medical College,Huazhong University of Science and Technology,Wuhan,China. [2]Institute of Organ Transplantation,Tongji Hospital,Tongji Medical College,Huazhong University of Science and Technology,Wuhan,China. [3]Key Laboratory of Organ Transplantation, Ministry of Education, Wuhan, China. [4]NHC Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan, China. [5]Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan, China.
通讯作者：
推荐引用方式(GB/T 7714)：
Yang Yang,Xiao Bing,Feng Xin,et al.Identification of hub genes and key signaling pathways by weighted gene co-expression network analysis for human aortic stenosis and insufficiency[J].FRONTIERS IN CARDIOVASCULAR MEDICINE.2023,10:doi:10.3389/fcvm.2023.857578.
APA：
Yang Yang,Xiao Bing,Feng Xin,Chen Yue,Wang Qunhui...&Cheng Lin.(2023).Identification of hub genes and key signaling pathways by weighted gene co-expression network analysis for human aortic stenosis and insufficiency.FRONTIERS IN CARDIOVASCULAR MEDICINE,10,
MLA：
Yang Yang,et al."Identification of hub genes and key signaling pathways by weighted gene co-expression network analysis for human aortic stenosis and insufficiency".FRONTIERS IN CARDIOVASCULAR MEDICINE 10.(2023)

相关文献

[1]Gene co-expression network reveals shared modules predictive of stage and grade in serous ovarian cancers [2]Characterization of myocardial mechanics and its prognostic significance in patients with severe aortic stenosis undergoing aortic valve replacement [3]Identification of hub genes and compounds controlling ovarian cancer stem cell characteristics via stemness indices analysis [4]Identifying miRNA modules associated with progression of keloids through weighted gene co-expression network analysis and experimental validation in vitro [5]Weighted gene co-expression network analysis of gene modules for the prognosis of esophageal cancer [6]骨膜素在主动脉瓣退行性变中的表达及其意义 [7]二维斑点追踪技术对主动脉瓣反流患者左心室功能的评价 [8]Trimetazidine in Heart Failure. [9]Hub genes and key pathways of non-small lung cancer identified using bioinformatics [10]DOWN-REGULATION OF LNCRNA-D1 PROMOTES HEART FAILURE DOWN-REGULATION OF LNCRNA-D1 PROMOTES HEART FAILURE

资源点击量：426 今日访问量：2 总访问量：410 更新日期：2025-04-01 建议使用谷歌、火狐浏览器 常见问题

版权所有：重庆聚合科技有限公司 渝ICP备12007440号-3 地址：重庆市两江新区泰山大道西段8号坤恩国际商务中心16层（401121）