Identifying the RNA signatures of coronary artery disease from combined lncRNA and mRNA expression profiles

被引：10

作者：

Zhang, Yu-Hang ^{[1
,2
,3
]}

Pan, Xiaoyong ^{[4
]}

Zeng, Tao ^{[5
]}

Chen, Lei ^{[6
]}

Huang, Tao ^{[2
]}

Cai, Yu-Dong ^{[1
]}

机构：

[1] Shanghai Univ, Sch Life Sci, Shanghai 200444, Peoples R China

[2] Chinese Acad Sci, Shanghai Inst Biol Sci, Shanghai Inst Nutr & Hlth, Shanghai 200031, Peoples R China

[3] Harvard Med Sch, Brigham & Womens Hosp, Channing Div Network Med, Boston, MA 02115 USA

[4] Shanghai Jiao Tong Univ, Key Lab Syst Control & Informat Proc, Minist Educ China, Inst Image Proc & Pattern Recognit, Shanghai 200240, Peoples R China

[5] Shanghai Res Ctr Brain Sci & Brain Inspired Intel, Shanghai 201210, Peoples R China

[6] Shanghai Maritime Univ, Coll Informat Engn, Shanghai 201306, Peoples R China

来源：

GENOMICS | 2020年 / 112卷 / 06期

基金：

国家重点研发计划; 上海市自然科学基金; 中国国家自然科学基金;

关键词：

Coronary artery disease; mRNA; lncRNA; Biomarker; Classification; NEAREST-NEIGHBOR CLASSIFICATION; C-REACTIVE PROTEIN; FEATURE-SELECTION; GENE-EXPRESSION; HEART-FAILURE; IDENTIFICATION; INFLAMMATION; INTERLEUKIN-6; ASSOCIATION; MECHANISMS;

D O I：

10.1016/j.ygeno.2020.09.016

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

Coronary artery disease (CAD) is the most common cardiovascular disease. CAD research has greatly progressed during the past decade. mRNA is a traditional and popular pipeline to investigate various disease, including CAD. Compared with mRNA, lncRNA has better stability and thus may serve as a better disease indicator in blood. Investigating potential CAD-related lncRNAs and mRNAs will greatly contribute to the diagnosis and treatment of CAD. In this study, a computational analysis was conducted on patients with CAD by using a comprehensive transcription dataset with combined mRNA and lncRNA expression data. Several machine learning algorithms, including feature selection methods and classification algorithms, were applied to screen for the most CAD-related RNA molecules. Decision rules were also reported to provide a quantitative description about the effect of these RNA molecules on CAD progression. These new findings (CAD-related RNA molecules and rules) can help understand mRNA and lncRNA expression levels in CAD

引用

页码：4945 / 4958

页数：14

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