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在PM2.5-诱导的肺细胞损伤中识别和评估枢纽长非编码RNA和mRNA

Jing Sui^1,2, Yanni Zhang¹, Linjie Zhang¹

¹Research Institute for Environment and Health, Nanjing University of Information Science and Technology, Nanjing 210044, China.

International journal of molecular sciences

|February 13, 2025

概括

接触细颗粒物 (PM2.5) 会导致肺部损伤. 权重基因共同表达网络分析确定了PM2.5诱导的肺细胞损伤中的关键长非编码RNA (lncRNA) 和信使RNA (mRNA) 相互作用.

科学领域:

环境健康环境健康
分子生物学分子生物学
生物信息学是一种生物信息学.

背景情况:

空气污染,特别是细颗粒物 (PM2.5),是与呼吸系统疾病相关的全球重大健康问题.
了解PM2.5引起的肺损伤的分子机制对于开发有效的干预措施至关重要.

研究的目的:

研究PM2.5诱导的肺细胞损伤中的长非编码RNA (lncRNA) 和信使RNA (mRNA) 相互作用.
通过加权基因共同表达网络分析 (WGCNA) 识别关键的监管网络和潜在的治疗点.

主要方法:

利用了基因表达总量 (GEO) 数据库中的基因表达数据 (GSE138870).
应用WGCNA来构建共表达模块并识别差异表达的lncRNA和mRNA.
进行了功能性丰富分析,并构建了lncRNA-mRNA和lncRNA-mRNA路径网络.

主要成果:

确定了与PM2.5引起的肺损伤相关的显著模块 (绿,蓝).
这些模块中的基因被丰富了与信号转导,新陈代谢和癌症相关的途径.
关键的lncRNAs (例如,LOC100129034,CROCCP2,Inc-CLVS2-2,GARS1-DT) 与关键的细胞过程如细胞亡,增殖,迁移和入侵有关.

结论:

在PM2.5引起的肺损伤中,WGCNA是剖析复杂分子相互作用的宝贵工具.
确定了特定的lncRNA及其mRNA点,为与空气污染相关的肺损伤的病原体提供了新的见解.
这些发现可能有助于开发用于PM2.5暴露引起的肺部疾病的诊断和治疗策略.

关键词:

微细颗粒物质的细颗粒物质的细颗粒物质的细颗粒物质的细颗粒物质.长长的非编码RNAs.肺部受伤的原因是肺部受伤.权重基因共同表达网络分析.

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