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Abnormal gene expression and gene fusion in lung adenocarcinoma with high-throughput RNA sequencing

机译:高通量RNA测序在肺腺癌中的异常基因表达和基因融合

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To explore the universal law of the abnormal gene expression and the structural variation of genes related to lung adenocarcinoma, the gene expression profile of GSE37765 were downloaded from Gene Expression Omnibus database. The differentially expressed genes (DEGs) were analyzed with t-test and NOISeq tool, and the core DEGs were screened out by combining with another RNA-seq data containing totally 77 pairs of samples in 77 patients with lung adenocarcinoma. Moreover, the functional annotation of the core DEGs was performed by using the Database for Annotation Visualization and Integrated Discovery following selection of oncogene and tumor suppressor by combining with tumor suppressor genes and Cancer Genes database, and motif-finding of core DEGs was performed with motif-finding algorithm Seqpos. We also used Tophat-fusion tool to further explore the fusion genes. In total, 850 downregulated DEGs and 206 upregulated DEGs were screened out in lung adenocarcinoma tissues. Next, we selected 543 core DEGs, including 401 downregulated and 142 upregulated genes, and vasculature development (P=1.89E?06) was significantly enriched among downregulated core genes, as well as mitosis (P=6.26E?04) enriched among upregulated core genes. On the basis of the cellular localization analysis of core genes, wnt-1-induced secreted protein 1 (WISP1) and receptor (G protein-coupled) activity modifying protein 1 (RAMP1) identified mainly located in extracellular region and extracellular space. We also screened one oncogene, v-myb avian myeloblastosis viral oncogene homolog-like 2 (MYBL2). Moreover, transcription factor GATA2 was mined by motif-finding analysis. Finally, four fusion genes belonged to the human leukocyte antigen (HLA) family. WISP1, RAMP1, MYBL2 and GATA2 could be potential targets of treatment for lung adenocarcinoma and the fusion of HLA family genes might have important roles in lung adenocarcinoma.
机译:为了探索异常基因表达的普遍规律和与肺腺癌相关的基因的结构变异,从Gene Expression Omnibus数据库下载了GSE37765的基因表达谱。用t检验和NOISeq工具分析差异表达的基因(DEG),并结合另一个包含77对肺腺癌患者的77对样本的RNA-seq数据,筛选出核心DEG。此外,在选择癌基因和抑癌基因后,结合肿瘤抑制基因和癌基因数据库,使用注释可视化和综合发现数据库对核心DEGs进行功能注释,并通过基序进行核心DEGs的基序查找。查找算法Seqpos。我们还使用了Tophat-fusion工具来进一步探索融合基因。在肺腺癌组织中总共筛选出850个下调的DEG和206个上调的DEG。接下来,我们选择了543个核心DEG,其中包括401个下调基因和142个上调基因,在下调的核心基因中血管系统发育(P = 1.89E?06)显着丰富,而在上调的核心基因中有丝分裂(P = 6.26E?04)核心基因。根据核心基因的细胞定位分析,wnt-1诱导的分泌蛋白1(WISP1)和受体(G蛋白偶联)活性修饰蛋白1(RAMP1)的识别主要位于细胞外区域和细胞外空间。我们还筛选了一种癌基因,v-myb禽成纤维细胞病病毒致癌基因同源物类似物2(MYBL2)。此外,通过基序发现分析来挖掘转录因子GATA2。最后,四个融合基因属于人类白细胞抗原(HLA)家族。 WISP1,RAMP1,MYBL2和GATA2可能是治疗肺腺癌的潜在靶标,而HLA家族基因的融合可能在肺腺癌中起重要作用。

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