| 易 超,苏雅婷,依马木买买提江·阿布拉,张 波,李海军,丁 伟.Affymetrix基因表达谱芯片在新疆维吾尔族与汉族胰腺癌组织样本间差异表达基因筛选中的运用[J].,2017,17(32):6215-6223 |
| Affymetrix基因表达谱芯片在新疆维吾尔族与汉族胰腺癌组织样本间差异表达基因筛选中的运用 |
| Screening Differentially Expressed Genes between Pancreatic Cancer Tissues and Adjacent Tissues by Affymetrix Gene Chip |
| 投稿时间：2017-04-15 修订日期：2017-05-09 |
| DOI：10.13241/j.cnki.pmb.2017.32.003 |
| 中文关键词: 胰腺导管细胞癌 Affymetrix基因表达谱芯片 基因差异表达 基因本体分析 通路分析 维吾尔族 |
| 英文关键词: Pancreatic ductal cell carcinoma Affymetrix gene expression profile Gene differential expression GO analysis Pathway analysis Uighur |
| 基金项目:国家自然科学基金项目（81360328） |
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| 中文摘要: |
| 摘要 目的：运用基因表达谱芯片筛选并分析新疆维吾尔族与汉族胰腺癌组织样本间的差异表达基因。方法：收集我院2014年1月至2016年6月间行手术切除的维吾尔族与汉族胰腺导管细胞癌组织并提取总RNA，选取经Nanodrop 2000与Agilent 2100仪器质检合格的样本总RNA采用Affymetrix基因表达谱芯片筛选出差异表达基因并绘制统计图，运用基因本体（GO）分析及信号通路（Pathway）分析对这些差异表达基因的生物信息进行汇总分析。结果：通过基因表达谱芯片分析，新疆维吾尔族与汉族胰腺癌组织样本间共检测到1063个基因存在差异表达，在维吾尔族胰腺癌标本中显著上调表达的基因共281个，差异表达倍数最高的为IGLV1-44基因（差异倍数：9.99）下调表达的基因共782个，差异表达倍数最高的为CPB1基因（差异倍数：33.76）；在Gene Ontology数据库中共检索到815个上述差异表达基因具有明确的GO分类，差异表达倍数最高的为CPB1基因（差异倍数：33.76）；Pathway分析中共检测到30条信号通路包含有上述差异表达基因，共涉及196个基因，其中以FAK信号通路差异表达基因富集程度最高，差异表达倍数最高的基因为COL11A1基因（差异倍数：5.02）。结论：基因表达谱芯片分析结果显示，在新疆维吾尔族与汉族胰腺癌组织样本间存在大量的差异表达基因，这些基因与胰腺癌的增殖分化、侵袭转移及多药耐药等特性密切相关，且参与了多条生物体内重要信号转导通路的调控。 |
| 英文摘要: |
| ABSTRACT Objective: To screen and analyze differentially expressed genes in pancreatic carcinoma tissues taken from Uighur and Han patients by Affymetrix Genechip. Methods: Pancreatic ductal cell carcinoma tissues were collected from the Uighur and Han patients undergoing resection in the Hospital during January 2014 to June 2016 and the total RNA was extracted. Differentially expressed genes were selected from the total RNA qualified by Nanodrop 2000 and Agilent 2100 using Affymetrix and a cartogram was drawn; The gene ontology (GO) analysis and Pathway analysis were used for the collection and analysis of biological information of these differentially expressed genes. Results: Through the microarray analysis of gene expression, 1063 differentially expressed genes were detected by comparing pancreatic cancer tissue samples between Xinjiang Uygur and Han patients. A total of 281 genes were significantly up-regulated in pancreatic cancer tissue samples in Uygur patients. IGLV1-44 gene had the highest multiple of differential expression (difference multiple: 9.99). A total of 782 genes were down-regulated and CPB1 gene had the highest multiple of differential expression (difference multiple: 33.76). In the Gene Ontology database, 815 differentially expressed genes were identified with clear GO classification, and CPB1 gene had the highest multiple of differential expression (difference multiple: 33.76). The Pathway analysis detected 30 signaling pathways that included these differentially expressed genes, involving a total of 196 genes. Among these pathways, the enrichment of differentially expressed genes in the FAK signaling pathway was the highest and COL11A1 gene had the highest multiple difference (multiple difference: 5.02). Conclusion: The results of microarray analysis of gene expression profiles showed that there are a large number of differentially expressed genes in pancreatic cancer tissue samples compared between Xinjiang Uygur and Han populations. These genes are closely related to the proliferation, differentiation, invasion and metastasis and multi-drug resistance of pancreatic cancer and are involved in the regulation of multiple important signaling pathways in organisms. |
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