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Transcriptome sequencing profiles of cervical cancer tissues and SiHa cells

机译:宫颈癌组织和SiHA细胞的转录组测序谱

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High-risk human papillomavirus (HPV) is a causal factor for cervical cancer, of which HPV16 is the predominant genotype, but the detailed mechanism remains to be elucidated. In this study, we performed transcriptome sequencing in cervical cancer tissues with HPV16-positive and normal tissues with HPV16-negative, and SiHa cells with or without HPV16 E6/E7 knockdown, and identified 140 differential expressed genes (DEGs) in two data sets. We carried out a series of bioinformatic analyses to learn more about the 140 DEGs, and found that 140 DEGs were mostly enriched in cell cycle and DNA repair through Kyoto Encyclopedia of Genes and Genomes pathway enrichment, Gene Ontology annotation, and gene set enrichment analysis. A total of 20 genes including RMI1, MKI67, FANCB, KIF14, CENPI, RACGAP1, EXO1, KIF4A, FOXM1, C19orf57, PSRC1, NUSAP1, CIT, NDC80, MCM7, GINS2, MCM6, ORC1, TLX2, and UHRF1 were screened by co-expression analysis; of those, the expressions of 6 (CENPI, FANCB, KIF14, ORC1, RACGAP1, and RMI1) were verified by qRT-PCR. Further, we found that E2F family, NF-Y, AhR:Arnt, and KROX family may be involved in modulating DEGs by TransFind prediction. TF2DNA database and co-expression analysis suggested that 12 TFs (ZNF367, TLX2, DEPDC1B, E2F8, ZNF541, EGR2, ZMAT3, HES6, CEBPA, MYBL2, FOXM1, and RAD51) were upstream modulators of DEGs. Our findings may provide a new understanding for effects of HPV oncogenes in the maintenance of cancerous state at the transcriptional level.
机译:高风险的人乳头瘤病毒(HPV)是宫颈癌的因果因素,其中HPV16是主要的基因型,但细化机制仍有待阐明。在这项研究中,我们用HPV16阳性和正常组织在宫颈癌组织中进行转录组测序,以及具有或不具有HPV16 E6 / E7敲低的SiHa细胞,并在两个数据集中鉴定了140个差异表达基因(DEGS)。我们进行了一系列生物信息分析,以了解有关140次的更多信息,发现通过基因和基因组途径富集,基因本体注释和基因设定富集分析,140只富含细胞周期和DNA修复。共有20个基因,包括RMI1,MKI67,FANCB,KIF14,CENPI,RACGAP1,EXO1,KIF4A,FOXM1,C19ORF57,PSRC1,NUSAP1,CIT,NDC80,MCM7,GINS2,MCM6,ORC1,TLX2和UHRF1被COS筛选 - 表达分析;其中,通过QRT-PCR验证了6(CENPI,FANCB,KIF14,ORC1,RACGAP1和RMI1)的表达。此外,我们发现E2F系列,NF-Y,AHR:ARNT和Krox系列可能参与通过Transfind预测调节Degs。 TF2DNA数据库和共表达分析表明,12个TFS(ZNF367,TLX2,DEPDC1B,E2F8,ZNF541,EGR2,ZMAT3,HES6,CEBPA,MYBL2,FOXM1和RAD51)是上游调节剂的DEG。我们的研究结果可以对HPV癌基因在转录水平维持癌症中的影响的新理解。

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