Tang Gongjie, Zhang Tao, Wang Xinbo, Song Zengmei, Liu Fucun, Zhang Qian, Huo Ran
Department of Burn and Plastic Surgery, Linyi Central Hospital, Linyi, Shandong 276400, P.R. China.
Department of Burn and Plastic Surgery, Shandong Provincial Hospital, Jinan, Shandong 250011, P.R. China.
Exp Ther Med. 2017 Oct;14(4):2931-2936. doi: 10.3892/etm.2017.4899. Epub 2017 Aug 7.
The aim of the present study was to identify differentially expressed genes (DEGs) and their related functions and pathways of major burn injuries, and to prevent the occurrence of complications. The expression profiling of E-GEOD-37069 was downloaded from ArrayExpress Archive. The DEGs of major burn injuries were identified. Gene Ontology (GO) and Kyoto Encyclopedia of Gene and Genomes (KEGG) functional enrichment analysis were then performed for the DEGs. Based on the KEGG database, a pathway relationship network was constructed, and DEGs in significant GO terms and pathways were investigated. Gene signal network and gene co-expression network of these inserted DEGs were constructed. A total of 3,328 DEGs of major burn injuries were identified, including 1,337 up- and 1,991 downregulated DEGs. These DEGs were mainly enriched into various GO terms, including transcription, DNA-dependent, signal transduction and blood coagulation. Moreover, they were also enriched into different pathways, such as hematopoietic cell lineage, metabolic pathway and chemokine signaling pathway. The pathway relationship network was constructed with 72 nodes. The MAPK signaling pathway was the hub node. Based on the same gene symbol, 702 DEGs were obtained, identified in both GO terms and pathways. Finally, the gene signaling network and gene co-expression network were constructed with 391 and 128 nodes, respectively. These identified DEGs, including GNB2, LILRA2, ARRB2 and ARHGEF2, may be potential key genes involved in the treatment of major burn injuries and prevention of complications.
本研究的目的是识别大面积烧伤的差异表达基因(DEGs)及其相关功能和途径,以预防并发症的发生。从ArrayExpress Archive下载了E-GEOD-37069的表达谱。识别出大面积烧伤的DEGs。然后对这些DEGs进行基因本体论(GO)和京都基因与基因组百科全书(KEGG)功能富集分析。基于KEGG数据库构建通路关系网络,并研究显著GO术语和通路中的DEGs。构建了这些插入DEGs的基因信号网络和基因共表达网络。共识别出3328个大面积烧伤的DEGs,其中包括1337个上调和1991个下调的DEGs。这些DEGs主要富集到各种GO术语中,包括转录、DNA依赖性、信号转导和血液凝固。此外,它们还富集到不同的通路中,如造血细胞谱系、代谢通路和趋化因子信号通路。通路关系网络由72个节点构建而成。MAPK信号通路是枢纽节点。基于相同的基因符号,获得了702个在GO术语和通路中均被识别的DEGs。最后,分别构建了由391个和128个节点组成的基因信号网络和基因共表达网络。这些识别出的DEGs,包括GNB2、LILRA2、ARRB2和ARHGEF2,可能是参与大面积烧伤治疗和预防并发症的潜在关键基因。