Kaczkowski Bogumil, Morevati Marya, Rossing Maria, Cilius Finn, Norrild Bodil
The Bioinformatics Centre, Department of Biology and Biomedical Research and Innovation Centre, University of Copenhagen, Ole Maaloes Vej 5, DK-2200 Copenhagen, Denmark.
Open Virol J. 2012;6:216-31. doi: 10.2174/1874357901206010216. Epub 2012 Dec 28.
For more than a decade, global gene expression profiling has been extensively used to elucidate the biology of human papillomaviruses (HPV) and their role in cervical- and head-and-neck cancers. Since 2008, the expression profiling of miRNAs has been reported in multiple HPV studies. Two major strategies have been employed in the gene and miRNA profiling studies: In the first approach, HPV positive tumors were compared to normal tissues or to HPV negative tumors. The second strategy relied on analysis of cell cultures transfected with single HPV oncogenes or with HPV genomes compared to untransfected cells considered as models for the development of premalignant and malignant transformations.In this review, we summarize what we have learned from a decade of global expression profiling studies. We performed comprehensive analysis of the overlap of the lists of differentially expressed genes and microRNAs, in both tissue samples and cell culture based studies. The review focuses mainly on HPV16, however reports from other HPV species are used as references. We discuss the low degree of consensus among different studies and the limitation of differential expression analysis as well as the fragmented miRNA-mRNA target correlation evidence. Furthermore, we propose an approach for future research to include more comprehensive miRNA-mRNA target correlation analysis and to apply systems biology/gene networks methodology.
十多年来,全球基因表达谱分析已被广泛用于阐明人乳头瘤病毒(HPV)的生物学特性及其在宫颈癌和头颈癌中的作用。自2008年以来,多项HPV研究报告了miRNA的表达谱分析。基因和miRNA谱分析研究采用了两种主要策略:在第一种方法中,将HPV阳性肿瘤与正常组织或HPV阴性肿瘤进行比较。第二种策略依赖于分析用单个HPV癌基因或HPV基因组转染的细胞培养物,并与未转染的细胞进行比较,未转染的细胞被视为癌前和恶性转化发展的模型。在这篇综述中,我们总结了从十年的全球表达谱分析研究中学到的知识。我们对基于组织样本和细胞培养的研究中差异表达基因和微小RNA列表的重叠进行了全面分析。本综述主要关注HPV16,然而其他HPV类型的报告也用作参考。我们讨论了不同研究之间共识程度较低的情况、差异表达分析的局限性以及miRNA-mRNA靶标相关性证据的碎片化。此外,我们提出了一种未来研究方法,包括更全面的miRNA-mRNA靶标相关性分析,并应用系统生物学/基因网络方法。