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基因共表达分析鉴定创伤性脑损伤后动态变化的功能模块。

The Gene Coexpression Analysis Identifies Functional Modules Dynamically Changed After Traumatic Brain Injury.

机构信息

Department of Neurosurgery, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Department of Neurosurgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

出版信息

Comput Math Methods Med. 2021 Apr 16;2021:5511598. doi: 10.1155/2021/5511598. eCollection 2021.

Abstract

Traumatic brain injury (TBI) is a major cause of morbidity and mortality, both in adult and pediatric populations. However, the dynamic changes of gene expression profiles following TBI have not been fully understood. In this study, we identified the differentially expressed genes (DEGs) following TBI. Remarkably, Serpina3n, Asf1b, Folr1, LOC100366216, Clec12a, Olr1, Timp1, Hspb1, Lcn2, and Spp1 were identified as the top 10 with the highest statistical significance. The weighted gene coexpression analysis (WGCNA) identified 12 functional modules from the DEGs, which showed specific expression patterns over time and were characterized by enrichment analysis. Specifically, the black and turquoise modules were mainly involved in energy metabolism and protein translation. The green yellow and yellow modules including Hmox1, Mif, Anxa2, Timp1, Gfap, Cd9, Gja1, Pdpn, and Gpx1 were related to response to wounding, indicating that expression of these genes such as Hmox1, Anxa2, and Timp1 could protect the brains from brain injury. The green yellow module highlighted genes involved in microglial cell activation such as Tyrobp, Cx3cr1, Grn, Trem2, C1qa, and Aif1, suggesting that these genes were responsible for the inflammatory response caused by TBI. The upregulation of these genes has been validated in an independent dataset. These results indicated that the key genes in microglia cell activation may serve as a promising therapeutic target for TBI. In summary, the present study provided a full view of the dynamic gene expression changes following TBI.

摘要

创伤性脑损伤(TBI)是成人和儿科人群发病率和死亡率的主要原因。然而,TBI 后基因表达谱的动态变化尚未完全了解。在这项研究中,我们确定了 TBI 后的差异表达基因(DEGs)。值得注意的是,Serpina3n、Asf1b、Folr1、LOC100366216、Clec12a、Olr1、Timp1、Hspb1、Lcn2 和 Spp1 被确定为前 10 名,具有最高的统计显著性。加权基因共表达分析(WGCNA)从 DEGs 中识别出 12 个功能模块,这些模块随着时间的推移表现出特定的表达模式,并通过富集分析进行了特征描述。具体来说,黑色和绿松石色模块主要参与能量代谢和蛋白质翻译。绿色黄色和黄色模块包括 Hmox1、Mif、Anxa2、Timp1、Gfap、Cd9、Gja1、Pdpn 和 Gpx1 与对创伤的反应有关,表明 Hmox1、Anxa2 和 Timp1 等这些基因的表达可以保护大脑免受脑损伤。绿色黄色模块突出了涉及小胶质细胞激活的基因,如 Tyrobp、Cx3cr1、Grn、Trem2、C1qa 和 Aif1,表明这些基因负责 TBI 引起的炎症反应。这些基因的上调在一个独立的数据集得到了验证。这些结果表明,小胶质细胞激活的关键基因可能成为 TBI 的有希望的治疗靶点。总之,本研究提供了 TBI 后动态基因表达变化的全貌。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/546c/8068551/b55c8c303f1d/CMMM2021-5511598.001.jpg

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