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Transcriptome profiling research in urothelial cell carcinoma

Authors :
Ahmad, Umar
Ibrahim, Buhari
Mohammed, Mustapha
Aldoghachi, Ahmed Faris
Usman, Mahmood
Yakubu, Abdulbasit Haliru
Tanko, Abubakar Sadiq
Bobbo, Khadijat Abubakar
Garkuwa, Usman Adamu
Faggo, Abdullahi Adamu
Mustapha, Sagir
Al-Masaeed, Mahmoud
Abdullah, Syahril
Keong, Yong Yoke
Veerakumarasivam, Abhi
Publication Year :
2020

Abstract

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<br />Comment: 47 pages, 2 figures, 2 Tables

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2011.10372
Document Type :
Working Paper