论文标题
尿路上皮细胞癌的转录组分析研究
Transcriptome profiling research in urothelial cell carcinoma
论文作者
论文摘要
尿路上皮细胞癌（UCC）是全球所有新癌症病例的第九个最常见的癌症。 UCC的发展和进展是由于复杂和随机的遗传程序。为了研究预后不良的分子事件的级联反应，这可能导致对UCC，转录组技术（RNA-SEQ）的晚期疾病和对常规疗法的抗药性有限的治疗方法，这是一种使用现代高通量测序平台分析样品的RNA含量的方法。在这里，我们回顾了RNA-Seq技术的原理，并总结了采用该技术来揭示疾病发病机理，识别生物标志物，发现途径并对疾病状态进行分类的最新研究。我们列出了公开可用于RNA-seq分析的常用计算平台和软件。此外，我们讨论了关于膀胱癌的RNA-seq研究的未来观点，并建议应用称为单细胞测序（SCRNA-SEQ）的新技术以进一步了解该疾病。关键词：转录组分析，RNA测序，基因组学，生物信息学，膀胱癌
Urothelial cell carcinoma (UCC) is the ninth most common cancer that accounts for 4.7% of all the new cancer cases globally. UCC development and progression are due to complex and stochastic genetic programmes. To study the cascades of molecular events underlying the poor prognosis that may lead to limited treatment options for advanced disease and resistance to conventional therapies in UCC, transcriptomics technology (RNA-Seq), a method of analysing the RNA content of a sample using modern high-throughput sequencing platforms has been employed. Here we review the principles of RNA-Seq technology and summarize recent studies on human bladder cancer that employed this technique to unravel the pathogenesis of the disease, identify biomarkers, discover pathways and classify the disease state. We list the commonly used computational platforms and software that are publicly available for RNA-Seq analysis. Moreover, we discussed the future perspectives for RNA-Seq studies on bladder cancer and recommend the application of new technology called single cell sequencing (scRNA-Seq) to further understand the disease. Keywords: Transcriptome profiling, RNA-sequencing, genomics, bioinformatics, bladder cancer
