Transcriptome profiling research in urothelial cell carcinoma [article]

Umar Ahmad, Buhari Ibrahim, Mustapha Mohammed, Ahmed Faris Aldoghachi, Mahmood Usman, Abdulbasit Haliru Yakubu, Abubakar Sadiq Tanko, Khadijat Abubakar Bobbo, Usman Adamu Garkuwa, Abdullahi Adamu Faggo, Sagir Mustapha, Mahmoud Al-Masaeed (+3 others)
<span title="2021-01-31">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
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
more &raquo; ... h-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
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="">arXiv:2011.10372v4</a> <a target="_blank" rel="external noopener" href="">fatcat:mavw6o43wbcl3jfdmqrpuzg57y</a> </span>
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