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mRNA expression, functional profiling and multivariate classification of colon biopsy specimen by cDNA overall glass microarray

机译:cDNA整体玻璃微阵列对结肠活检标本的mRNA表达,功能分析和多元分类

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AIM: To understand the local pathophysiological alterations and gene ontology-based functional classification of colonic biopsies into inflammatory and neoplastic diseases. METHODS: Total RNA was extracted from frozen biopsies and amplified by T7-method. Expression profile was evaluated by Atlas Glass 1K microarrays. After microarray quality control, applicable data were available from 10 adenomas, 6 colorectal adenocarcinomas (CRCs), and 6 inflammatory bowel diseases (IBDs). Multivariate statistical and cell functional analyses were performed. Real-time RT-PCR and immunohistochemistry were used for validation. RESULTS: Discriminant analysis of selected genes, could correctly reclassify all 22 samples using 4 parameters (heat shock transcription factor-1, bystin-like, calgranulin-A, TRAIL receptor 3). IBD samples were characterized by overregulated chemokine (C-X-C motif) ligand 13, replication protein A1, E74-like factor 2 and downregulated TNF receptor-associated factor 6, BCL2-interacting killer genes. In adenomas upregulation of TNF receptor-associated factor 6, replication protein A1, E74-like factor 2 and underexpression of BCL2-associated X protein, calgranulin-A genes were found. CRC cases had significantly increased epidermal growth factor receptor, topoisomer-ase-1, v-jun, TNF receptor-associated factor 6 and TRAIL receptor 3, and decreased RAD51 and RAD52 DNA repair gene, protein phosphatase-2A and BCL2-interacting killer mRNA levels. Epidermal growth factor receptor RT-PCR and immunohistochemistry, topoisomerase-1 RT-PCR confirmed the chip results. CONCLUSION: Different histological alterations can be reclassified by functional, multivariate analysis using cDNA microarrays. Further studies with expanded sample number are needed for subclassification of pathological alterations.
机译:目的:了解结肠活检在炎症和赘生性疾病中的局部病理生理变化和基于基因本体论的功能分类。方法:从冷冻活检组织中提取总RNA,并用T7法扩增。表达谱通过Atlas Glass 1K微阵列评估。经过微阵列质量控制后,可从10个腺瘤,6个大肠腺癌(CRC)和6个炎性肠病(IBD)获得可用数据。进行了多元统计和细胞功能分析。实时RT-PCR和免疫组织化学用于验证。结果:对选定基因的判别分析可以使用4个参数(热休克转录因子-1,比斯汀样,钙粒蛋白A,TRAIL受体3)正确地重新分类所有22个样品。 IBD样品的特征在于趋化因子(C-X-C基序)配体13过度调节,复制蛋白A1,E74样因子2和TNF受体相关因子6,与BCL2相互作用的杀伤基因下调。在腺瘤上调TNF受体相关因子6,复制蛋白A1,E74样因子2和BCL2相关X蛋白表达不足的情况下,发现了钙粘蛋白A基因。 CRC病例的表皮生长因子受体,拓扑异构酶-1,v-jun,TNF受体相关因子6和TRAIL受体3显着增加,而RAD51和RAD52 DNA修复基因,蛋白磷酸酶2A和BCL2相互作用的杀手mRNA降低。水平。表皮生长因子受体RT-PCR和免疫组化,拓扑异构酶-1 RT-PCR证实了芯片结果。结论:通过使用cDNA微阵列的功能性多变量分析可以对不同的组织学改变进行重新分类。对于病理改变的子分类,需要扩大样本数量进行进一步研究。

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