• 1. The First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu 730000, P. R. China;
  • 2. Department of Hematology, the First Hospital of Lanzhou University, Lanzhou, Gansu 730000, P. R. China;
XI Yaming, Email: xiyaming02@163.com
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Objective  To explore the mode and role of differential expression of circular RNAs (circRNAs) in myelodysplastic syndrome (MDS). Methods  We preprocessed and analyzed the circRNA expression profile datasets GSE163386, GSE94591, and GSE81173 in the GEO (Gene Expression Omnibus) database. By using the circBank database and the ENCORI, miRDB, and miRWalk databases to predict microRNAs (miRNAs) that interacted with differentially expressed circRNAs and messenger RNAs (mRNAs), the circRNA-miRNA-mRNA axis was constructed. We retrieved miRNAs related to MDS in PubMed and further obtained competing endogenous RNA (ceRNA) networks related to MDS by taking intersections. Results  Through analysis, 128 differentially expressed circRNAs were identified, 48 highly expressed, and 80 low expressed. Among differentially expressed circRNAs with multiple differences>10, 3 were upregulated and 11 were downregulated. Through analysis, 101 differentially expressed mRNA were identified, with 9 upregulated and 92 downregulated. Intersecting with the MDS related miRNAs retrieved by PubMed, we further obtained the MDS related ceRNA network, namely circRNA (has_circ_0061137)-miRNA (has-miR-16-5p)-mRNA (RUBCNL, TBC1D9, SLC16A6) and circRNA (has_circ_0061137)-miRNA (has-miR-125b-5p)-mRNA (CCR5, SLC16A6, IRF4), all of which were downregulated. Conclusion  The ceRNA networks revealed in this study may help elucidate the circRNA mechanism in MDS.

Citation: LIU Yifan, XI Yaming. Bioinformatic analysis of circular RNAs differential expression in myelodysplastic syndrome. West China Medical Journal, 2023, 38(7): 1053-1057. doi: 10.7507/1002-0179.202303031 Copy

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