Identification of Key Modules and Hub Genes of Annulus Fibrosus in Intervertebral Disc Degeneration.

IF 2.8 3区 生物学 Q2 GENETICS & HEREDITY Frontiers in Genetics Pub Date : 2021-01-27 eCollection Date: 2020-01-01 DOI:10.3389/fgene.2020.596174
Hantao Wang, Wenhui Liu, Bo Yu, Xiaosheng Yu, Bin Chen
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Abstract

Background: Intervertebral disc degeneration impairs the quality of patients lives. Even though there has been development of many therapeutic strategies, most of them remain unsatisfactory due to the limited understanding of the mechanisms that underlie the intervertebral disc degeneration. Questions/purposes: This study is meant to identify the key modules and hub genes related to the annulus fibrosus in intervertebral disc degeneration (IDD) through: (1) constructing a weighted gene co-expression network; (2) identifying key modules and hub genes; (3) verifying the relationships of key modules and hub genes with IDD; and (4) confirming the expression pattern of hub genes in clinical samples. Methods: The Gene Expression Omnibus provided 24 sets of annulus fibrosus microarray data. Differentially expressed genes between the annulus fibrosus of degenerative and non-degenerative intervertebral disc samples have gone through the Gene Ontology (GO) and pathway analysis. The construction of a gene network and classification of genes into different modules were conducted through performing Weighted Gene Co-expression Network Analysis. The identification of modules and hub genes that were most related to intervertebral disc degeneration was proceeded. In order to verify the relationships of the module and hub genes with intervertebral disc degeneration, Ingenuity Pathway Analysis was operated. Clinical samples were adopted to help verify the hub gene expression profile. Results: One thousand one hundred ninety differentially expressed genes were identified. Terms and pathways associated with intervertebral disc degeneration were presented by GO and pathway analysis. The construction of a Weighted Gene Coexpression Network was completed and clustering differentially expressed genes into four modules was also achieved. The module with the lowest P-value and the highest absolute correlation coefficient was selected and its relationship with intervertebral disc degeneration was confirmed by Ingenuity Pathway Analysis. The identification of hub genes and the confirmation of their expression profile were also realized. Conclusions: This study generated a comprehensive overview of the gene networks underlying annulus fibrosus in intervertebral disc degeneration. Clinical Relevance: Modules and hub genes identified in this study are highly associated with intervertebral disc degeneration, and may serve as potential therapeutic targets for intervertebral disc degeneration.

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识别椎间盘退变中纤维环的关键模块和枢纽基因
背景:椎间盘退化损害了患者的生活质量。尽管已开发出许多治疗策略,但由于对椎间盘退化的机制了解有限,大多数治疗策略仍不尽如人意。问题/目的:本研究旨在通过:(1)构建加权基因共表达网络;(2)识别关键模块和枢纽基因;(3)验证关键模块和枢纽基因与椎间盘退变的关系;(4)证实枢纽基因在临床样本中的表达模式,从而识别椎间盘退变(IDD)中与纤维环相关的关键模块和枢纽基因。研究方法基因表达总库提供了 24 组纤维环芯片数据。对退行性和非退行性椎间盘样本纤维环中的差异表达基因进行了基因本体(GO)和通路分析。通过加权基因共表达网络分析,构建了基因网络并将基因划分为不同的模块。接着确定了与椎间盘变性最相关的模块和中心基因。为了验证模块和中心基因与椎间盘变性的关系,进行了 Ingenuity Pathway 分析。采用临床样本帮助验证枢纽基因的表达谱。结果共鉴定出 1,190 个差异表达基因。通过 GO 和通路分析,提出了与椎间盘变性相关的术语和通路。完成了加权基因共表达网络的构建,并将差异表达基因聚类为四个模块。选取 P 值最低、绝对相关系数最高的模块,通过 Ingenuity Pathway 分析确认其与椎间盘变性的关系。此外,还识别了枢纽基因并确认了其表达谱。结论:本研究全面概述了椎间盘退变中纤维环的基础基因网络。临床意义:本研究发现的模块和中心基因与椎间盘退变高度相关,可作为椎间盘退变的潜在治疗靶点。
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来源期刊
Frontiers in Genetics
Frontiers in Genetics Biochemistry, Genetics and Molecular Biology-Molecular Medicine
CiteScore
5.50
自引率
8.10%
发文量
3491
审稿时长
14 weeks
期刊介绍: Frontiers in Genetics publishes rigorously peer-reviewed research on genes and genomes relating to all the domains of life, from humans to plants to livestock and other model organisms. Led by an outstanding Editorial Board of the world’s leading experts, this multidisciplinary, open-access journal is at the forefront of communicating cutting-edge research to researchers, academics, clinicians, policy makers and the public. The study of inheritance and the impact of the genome on various biological processes is well documented. However, the majority of discoveries are still to come. A new era is seeing major developments in the function and variability of the genome, the use of genetic and genomic tools and the analysis of the genetic basis of various biological phenomena.
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