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基于加权基因共表达网络分析的法洛四联症相关枢纽长链非编码RNA的鉴定

Identification of hub lncRNAs correlated with tetralogy of fallot based on weighted gene co-expression network analysis.

作者信息

Ding Ye, Zhu Chun

机构信息

Department of Obstetrics and Gynecology, Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, Nanjing, 210004, Jiangsu, China.

Department of Child Health Care, Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, Nanjing, 210004, Jiangsu, China.

出版信息

Biochem Biophys Rep. 2024 Jul 13;39:101786. doi: 10.1016/j.bbrep.2024.101786. eCollection 2024 Sep.

Abstract

The most prevalent cyanotic congenital heart disease, Tetralogy of Fallot (TOF), has an unknown etiology. Long-stranded non-coding RNAs (lncRNAs) have been linked to cardiac development and congenital heart disease, as evidenced by an increasing number of studies; nevertheless, additional research is necessary to fully understand the function that TOF-related lncRNAs play in the condition. This study constructed lncRNA-mRNA co-expression networks, performed functional enrichment analysis, and screened hub lncRNAs using Weighted Gene Co-expression Network Analysis (WGCNA) using the Gene Expression Omnibus dataset GSE36761. Ten hub lncRNAs, including IRF1-AS1, AC012360.6, HLA-F-AS1, RP1-253P7.4, NPTN-IT1, RP11-166P13.4, RP5-1183I21.2, SNHG14, CH17-98J9.1, and RP11-894P9.1, were identified by WGCNA analysis as potentially significant contributors to the development of TOF. Based on functional enrichment analysis, lncRNA mainly contributes to TOF by altering gene splicing patterns. New insights on the mechanism underlying TOF occurrence are provided by identifying hub lncRNAs associated with the disease and analyzing their regulatory networks.

摘要

最常见的青紫型先天性心脏病,法洛四联症(TOF),病因不明。越来越多的研究表明,长链非编码RNA(lncRNA)与心脏发育和先天性心脏病有关;然而,要全面了解与TOF相关的lncRNA在该病中的作用,还需要更多研究。本研究使用基因表达综合数据库GSE36761,通过加权基因共表达网络分析(WGCNA)构建lncRNA-mRNA共表达网络,进行功能富集分析,并筛选出枢纽lncRNA。WGCNA分析确定了10个枢纽lncRNA,包括IRF1-AS1、AC012360.6、HLA-F-AS1、RP1-253P7.4、NPTN-IT1、RP11-166P13.4、RP5-1183I21.2、SNHG14、CH17-98J9.1和RP11-894P9.1,它们可能是TOF发病的重要因素。基于功能富集分析,lncRNA主要通过改变基因剪接模式导致TOF。通过识别与该疾病相关的枢纽lncRNA并分析其调控网络,为TOF发病机制提供了新的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccf1/11301060/03a8af60d037/gr1.jpg

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