Profiling and bioinformatics analyses of differential circular RNA expression in prostate cancer cells

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...

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Detalles Bibliográficos
Autores principales: Zhang, Chunlei, Xiong, Jun, Yang, Qi, Wang, Ye, Shi, Haoqing, Tian, Qinqin, Huang, Hai, Kong, Depei, Lv, Jianmin, Liu, Dan, Gao, Xu, Zi, Xiaoyuan, Sun, Yinghao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Future Science Ltd 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6222276/
https://www.ncbi.nlm.nih.gov/pubmed/30416748
http://dx.doi.org/10.4155/fsoa-2018-0046
Descripción
Sumario: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.

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