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通过生物信息学分析识别与结直肠癌相关的新 lncRNAs

Razieh Heidari^1,2, Vahideh Assadollahi³, Seyedeh Negar Marashi⁴

¹Cancer Research Center, Shahrekord University of Medical Sciences, Shahrekord, Iran.

BioMed research international

|February 14, 2025

概括

这项研究使用生物信息学识别了结直肠癌 (CRC) 中的新型长非编码RNA (lncRNA) 和枢纽基因. 这些发现为CRC治疗提供了潜在的新生物标志物和治疗点.

科学领域:

基因组学就是基因组学.
生物信息学是一种生物信息学.
癌症研究癌症研究

背景情况:

长非编码RNAs (lncRNAs) 与癌症的发展有关,包括结直肠癌 (CRC).
识别新型的lncRNA及其作用对于理解CRC病变发生和开发向疗法至关重要.

研究的目的:

在结直肠癌 (CRC) 中识别新的差异表达长非编码RNA (DElncRNAs) 和信使RNA (DEmRNAs).
探索CRC中已识别的lncRNAs的生物功能和协同表达网络.
识别与CRC发展相关的潜在枢纽基因,用于未来的生物标志物和治疗点发现.

主要方法:

来自Gene Expression Omnibus (GEO) 数据库的GSE134834结肠直肠癌 (CRC) 微阵列数据集的生物信息分析.
鉴定差异表达基因 (DEGs),包括DElncRNA和DEmRNA.
重量基因同表达网络分析 (WGCNA) 用于构建基因模块并识别新型lncRNAs.
使用FunRich软件进行功能预测的丰富分析.
使用STRING和Cytoscape识别枢纽基因的蛋白质-蛋白质相互作用 (PPI) 网络的构建和分析.
使用基因表达特征交互分析 (GEPIA) 数据库验证基因表达水平.

主要成果:

总共有6763个差异表达基因 (DEG) 被确定,包括DElncRNAs和DEmRNAs.
确定了两个显著的lncRNA联合表达模块 (浅粉色4和粉色),富含与癌症相关的途径.
在这些模块中确定了关键的枢纽基因,包括MRTO4,CDK1,CDC20,RPF2,NOP58,NIFK,GTPBP4,BUB1,BUB1B,BOP1,BYSL,RPS23,RSL1D1,NAT10,NOP14,GNL2,MRPS12,NOL6,IMP4和RRP12.
验证证实了CRC中顶部DEmRNA和模块枢纽基因的表达水平.

结论:

这项生物信息学研究成功地确定了对于结直肠癌 (CRC) 发展至关重要的新型 lncRNA 和枢纽基因.
这些发现为CRC的潜在生物标志物和治疗目标提供了宝贵的见解.
需要进一步的实验验证,以确认已识别的基因在CRC中的作用.

关键词:

生物标志物生物标志物结肠直肠癌是什么意思不同表达的基因 (DEGs)在ncRNA中,我们可以权重基因同表达网络分析 (WGCNA)

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