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Bioinformatics analysis of colorectal cancer related gene

机译：大肠癌相关基因的生物信息学分析

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Colorectal cancer (CRC) is ranked as one of the three most common cancers in the world. This research aims at exploring the molecular mechanisms of CRC. We used R language to analyze gene expression data from the Gene Expression Omnibus (GEO) database. By using Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) database, the function and pathway enrichment of differentially expressed genes were analyzed. The Protein-protein interaction (PPI) network was constructed by STRING and Cytoscape. A total of 205 differentially expressed genes (DEGs) were screened out. These differentially expressed genes mainly enriched in the terms of regulation of leukocyte chemo taxis, chemokine receptor binding and chemokine-mediated signaling pathway. The PPI network of differentially expressed genes was constructed. Seven hub genes (CCL2, TPM1, DES, CXCL12, MYLK, MYL9 and TPM2) were identified. We conclude that these 7 genes may be involved in the occurrence of CRC.
机译：大肠癌（CRC）被列为世界上三种最常见的癌症之一。本研究旨在探讨CRC的分子机制。我们使用R语言分析了来自Gene Expression Omnibus（GEO）数据库的基因表达数据。通过使用《京都基因与基因组百科全书》（KEGG）和“基因本体论”（GO）数据库，分析了差异表达基因的功能和途径富集。蛋白质-蛋白质相互作用（PPI）网络是由STRING和Cytoscape构建的。筛选出总共205个差异表达基因（DEG）。这些差异表达的基因主要在白细胞化学出租车的调节，趋化因子受体结合和趋化因子介导的信号传导途径方面丰富。构建了差异表达基因的PPI网络。确定了七个集线器基因（CCL2，TPM1，DES，CXCL12，MYLK，MYL9和TPM2）。我们得出结论，这7个基因可能与CRC的发生有关。

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