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Profiling and bioinformatics analyses of differential circular RNA expression in prostate cancer cells.
Future Science OA 2018 October
Aim: There is little knowledge about the expression profile and function of circular RNAs (circRNAs) in prostate cancer (PCa).
Methods: The expression profiles of circRNAs in RWPE-1, 22RV1 and PC3 cells were explored via high-throughput circRNAs sequencing and validated by real-time qPCR. The roles of differentially expressed circRNAs were evaluated by bioinformatics analyses.
Results: Altogether 9545 circRNAs were identified and hundreds of differentially expressed circRNAs were recognized. CircRNA-miRNA networks analysis showed that many circRNAs, including circSLC7A6, circGUCY1A2 and circZFP57 could cross-talk with tumor-related miRNAs such as miR-21, miR-143 and miR-200 family.
Conclusion: The results of our bioinformatics analyses suggested that circRNAs should play critical roles in the development and progression of PCa.
Methods: The expression profiles of circRNAs in RWPE-1, 22RV1 and PC3 cells were explored via high-throughput circRNAs sequencing and validated by real-time qPCR. The roles of differentially expressed circRNAs were evaluated by bioinformatics analyses.
Results: Altogether 9545 circRNAs were identified and hundreds of differentially expressed circRNAs were recognized. CircRNA-miRNA networks analysis showed that many circRNAs, including circSLC7A6, circGUCY1A2 and circZFP57 could cross-talk with tumor-related miRNAs such as miR-21, miR-143 and miR-200 family.
Conclusion: The results of our bioinformatics analyses suggested that circRNAs should play critical roles in the development and progression of PCa.
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