Back-Splicing Transcript Isoforms (Circular RNAs) Affect Biologically Relevant Pathways and Offer an Additional Layer of Information to Stratify NMIBC Patients.

作者: Anshita Goel , Douglas G. Ward , Naheema S. Gordon , Ben Abbotts , Maurice P. Zeegers

DOI: 10.3389/FONC.2020.00812

关键词:

摘要: Circularized transcript isoforms due to back-splicing are increasingly being reported in different tissues types and pathological states including cancer. Since these circular RNAs (circRNAs) more stable than linear messenger RNA their identification profiling tumor tissue could aid stratifying patients may serve as biomarkers. In this study, we have investigated the relationship between circRNA expression grade a cohort of 58, mostly non-muscle-invasive bladder cancer patients. From 4571 circRNAs detected, identified 157 that were significantly differentially expressed grades relative transcript. We demonstrated such grade-related differences can be an independent cohort, large fraction be, principle, detected urine. The cluster into subgroups according co-expression, which enriched for DNA repair, cell cycle intracellular signaling genes. one proposed function is interfere with gene-regulation by acting microRNA "sponges," candidates potential miRNA target sites. By investigating from related pathways pathways, circRNAs, parental genes often decoupled do not correlate, yet some follow tendency. present study provides next step comprehensive evaluation novel class context Intriguingly, despite possible sponges, they potentially affect host mRNA levels at transcriptional stage, compared post-transcriptional control miRNAs. Our analysis indicates activity stages, provide additional layer information patient stratification.

参考文章(42)
Richard T. Bryan, Maurice P. Zeegers, Eline H. van Roekel, Deborah Bird, Margaret R. Grant, Janet A. Dunn, Sarah Bathers, Gulnaz Iqbal, Humera S. Khan, Stuart I. Collins, Andrew Howman, Nayneeta S. Deshmukh, Nicholas D. James, Kar Keung Cheng, D. Michael A. Wallace, A comparison of patient and tumour characteristics in two UK bladder cancer cohorts separated by 20 years BJU International. ,vol. 112, pp. 169- 175 ,(2013) , 10.1111/BJU.12032
Wang-Xia Wang, Natasha Kyprianou, Xiaowei Wang, Peter T. Nelson, Dysregulation of the mitogen granulin in human cancer through the miR-15/107 microRNA gene group Cancer Research. ,vol. 70, pp. 9137- 9142 ,(2010) , 10.1158/0008-5472.CAN-10-1684
William R Jeck, Norman E Sharpless, Detecting and characterizing circular RNAs Nature Biotechnology. ,vol. 32, pp. 453- 461 ,(2014) , 10.1038/NBT.2890
Eran Eden, Roy Navon, Israel Steinfeld, Doron Lipson, Zohar Yakhini, GOrilla: a tool for discovery and visualization of enriched GO terms in ranked gene lists BMC Bioinformatics. ,vol. 10, pp. 48- 48 ,(2009) , 10.1186/1471-2105-10-48
Robert S. Svatek, Brent K. Hollenbeck, Sten Holmäng, Richard Lee, Simon P. Kim, Arnulf Stenzl, Yair Lotan, The Economics of Bladder Cancer: Costs and Considerations of Caring for This Disease European Urology. ,vol. 66, pp. 253- 262 ,(2014) , 10.1016/J.EURURO.2014.01.006
Anthony M. Bolger, Marc Lohse, Bjoern Usadel, Trimmomatic: a flexible trimmer for Illumina sequence data Bioinformatics. ,vol. 30, pp. 2114- 2120 ,(2014) , 10.1093/BIOINFORMATICS/BTU170
Vikram Agarwal, George W Bell, Jin-Wu Nam, David P Bartel, Predicting effective microRNA target sites in mammalian mRNAs eLife. ,vol. 4, ,(2015) , 10.7554/ELIFE.05005
Erika Lasda, Roy Parker, Circular RNAs: diversity of form and function RNA. ,vol. 20, pp. 1829- 1842 ,(2014) , 10.1261/RNA.047126.114
Alexander Dobin, Carrie A. Davis, Felix Schlesinger, Jorg Drenkow, Chris Zaleski, Sonali Jha, Philippe Batut, Mark Chaisson, Thomas R. Gingeras, STAR: ultrafast universal RNA-seq aligner Bioinformatics. ,vol. 29, pp. 15- 21 ,(2013) , 10.1093/BIOINFORMATICS/BTS635
Jun Cheng, Franziska Metge, Christoph Dieterich, Specific identification and quantification of circular RNAs from sequencing data Bioinformatics. ,vol. 32, pp. 1094- 1096 ,(2016) , 10.1093/BIOINFORMATICS/BTV656