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解码差异表达基因以识别结核病中潜在的免疫相关生物标志物:一种整合性的生物信息学方法

Ankur Datta¹, Divyanshi Gupta¹, Diya Waryani¹

¹Laboratory of Integrative Genomics, Department of Integrative Biology, School of BioSciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India.

Biochemistry and biophysics reports

|December 9, 2024

概括

这项研究通过分析印度患者的基因表达来确定结核病 (TB) 中的关键基因. 这些发现可能会导致改善结核病的诊断工具,这是一个主要的健康问题.

科学领域:

基因组学就是基因组学.
分子生物学分子生物学
免疫学免疫学免疫学

背景情况:

结核病 (TB) 是一个主要的全球卫生问题,印度承担了大量病例的负担.
通过识别新的分子生物标志物,可以改进目前结核病的诊断方法.
了解结核病原体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:

为改善结核病 (TB) 诊断确定分子生物标志物.
为了比较健康个体和受结核病影响的人之间的转录组签名.
确定与结核病相关的关键差异表达基因 (DEGs).

主要方法:

使用下一代测序 (NGS) 来分析基因表达特征.
使用严格的统计标准识别了302个差异表达基因 (DEGs) (logFC值为3 和调整后的p值<0.05).
使用STRING数据库进行DEG网络分析和功能注释.

主要成果:

鉴定了302个DEG,揭示了结核病患者许多生理功能的失调.
突出了五个枢纽基因:TLR4,FCGR1A,ITGAM,LTF和CXCR2,作为结核病原体的关键参与者.
证实了TLR4在结核病进展中的参与,与现有文献一致.

结论:

已识别的DEG和枢纽基因为结核病诊断提供了潜在的分子标.
这些发现有助于更好地了解结核病的分子基础.
这项研究为加强结核病诊断策略铺平了道路.

关键词:

生物标志物生物标志物诊断诊断诊断诊断印度印度印度国家储备系统 (NGS)转录组转录组就是一个转录组.结核病是一种疾病.

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