Profiling and Bioinformatics Analyses of Differential Circular RNA Expression in Prostate Cancer Cells | Zendy

Chunlei Zhang | Zendy; Jun Xiong | Zendy; Qi Yang | Zendy; Ye Wang | Zendy; Haoqing Shi | Zendy; Qin-Qin Tian | Zendy; Hai Huang | Zendy; De-Pei Kong | Zendy; Jian-Min Lv | Zendy; Dan Liu | Zendy; Xu Gao | Zendy; Xiaoyuan Zi | Zendy; Yinghao Sun | Zendy

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Profiling and Bioinformatics Analyses of Differential Circular RNA Expression in Prostate Cancer Cells

Author(s) -

Chunlei Zhang,

Jun Xiong,

Qi Yang,

Ye Wang,

Haoqing Shi,

Qin-Qin Tian,

Hai Huang,

De-Pei Kong,

Jian-Min Lv,

Dan Liu,

Xu Gao,

Xiaoyuan Zi,

Yinghao Sun

Publication year - 2018

Publication title -

future science oa

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.825

H-Index - 23

ISSN - 2056-5623

DOI - 10.4155/fsoa-2018-0046

Subject(s) - prostate cancer , biology , gene expression profiling , rna , computational biology , bioinformatics , gene expression , prostate , medicine , cancer , cancer research , pathology , genetics , gene

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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