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静脉血栓栓塞症的免疫分析与差异基因筛选。

Immunological analysis and differential genes screening of venous thromboembolism.

机构信息

Laboratory Medicine Center, Lanzhou University Second Hospital, Lanzhou, 730030, China.

Department of Gastroenterology, The First Hospital of Lanzhou University, Lanzhou, 730030, China.

出版信息

Hereditas. 2021 Jan 2;158(1):2. doi: 10.1186/s41065-020-00166-6.

Abstract

PURPOSE

To explore the pathogenesis of venous thromboembolism (VTE) and provide bioinformatics basis for the prevention and treatment of VTE.

METHODS

The R software was used to obtain the gene expression profile data of GSE19151, combining with the CIBERSORT database, obtain immune cells and differentially expressed genes (DEGs) of blood samples of VTE patients and normal control, and analyze DEGs for GO analysis and KEGG pathway enrichment analysis. Then, the protein-protein interaction (PPI) network was constructed by using the STRING database, the key genes (hub genes) and immune differential genes were screened by Cytoscape software, and the transcription factors (TFs) regulating hub genes and immune differential genes were analyzed by the NetworkAnalyst database.

RESULTS

Compared with the normal group, monocytes and resting mast cells were significantly expressed in the VTE group, while regulatory T cells were significantly lower. Ribosomes were closely related to the occurrence of VTE. 10 hub genes and immune differential genes were highly expressed in VTE. MYC, SOX2, XRN2, E2F1, SPI1, CREM and CREB1 can regulate the expressions of hub genes and immune differential genes.

CONCLUSIONS

Ribosomal protein family genes are most relevant to the occurrence and development of VTE, and the immune differential genes may be the key molecules of VTE, which provides new ideas for further explore the pathogenesis of VTE.

摘要

目的

探讨静脉血栓栓塞症(VTE)的发病机制,为 VTE 的防治提供生物信息学基础。

方法

使用 R 软件获取 GSE19151 的基因表达谱数据,结合 CIBERSORT 数据库,获取 VTE 患者和正常对照血液样本的免疫细胞和差异表达基因(DEGs),并对 DEGs 进行 GO 分析和 KEGG 通路富集分析。然后,使用 STRING 数据库构建蛋白质-蛋白质相互作用(PPI)网络,通过 Cytoscape 软件筛选关键基因(枢纽基因)和免疫差异基因,并通过 NetworkAnalyst 数据库分析调节枢纽基因和免疫差异基因的转录因子(TFs)。

结果

与正常组相比,VTE 组中单核细胞和静止肥大细胞表达显著升高,而调节性 T 细胞表达显著降低。核糖体与 VTE 的发生密切相关。VTE 中 10 个枢纽基因和免疫差异基因表达上调。MYC、SOX2、XRN2、E2F1、SPI1、CREM 和 CREB1 可以调节枢纽基因和免疫差异基因的表达。

结论

核糖体蛋白家族基因与 VTE 的发生发展最为相关,免疫差异基因可能是 VTE 的关键分子,为进一步探讨 VTE 的发病机制提供了新的思路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/694c/7778808/d27bd5c142e8/41065_2020_166_Fig1_HTML.jpg

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