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Computational identification of microRNAs and their targets in liver cirrhosis

  • Authors:
    • Hongbo Du
    • Hao Yu
    • Yuying Yang
    • Yuanyuan Song
    • Fei Wang
    • Shangheng Li
    • Yuyong Jiang
  • View Affiliations / Copyright

    Affiliations: Department of Gastroenterology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing 100007, P.R. China, Department of Integrated Traditional and Western Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, P.R. China
    Copyright: © Du et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 7691-7698
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    Published online on: October 23, 2017
       https://doi.org/10.3892/ol.2017.7252
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Abstract

Previous studies have revealed that the deregulation of circulating miRNAs is associated with liver cirrhosis. The present study aimed to identify reliable candidate biomarkers to improve the early detection of liver cirrhosis. An integrated analysis of expression profiles of microRNAs (miRNAs/miRs) and mRNAs in liver cirrhosis tissues from the GEO database was performed. Next, the regulatory targets of the differentially expressed miRNAs in liver cirrhosis tissues were predicted. In addition, a regulatory network of miRNA‑target genes was constructed. A total of 4 eligible mRNA expression profiling studies and 2 miRNA expression profiling studies met the inclusion criteria, and were thus included. A total of 48 differentially expressed miRNAs and 1,773 differentially expressed genes were identified in liver cirrhosis tissues compared with normal tissues. There were 240 miRNA‑target pairs whose expression was negatively correlated. In the miRNA‑target regulatory network, overexpression of miR‑21 and miR‑199a‑3p was suggested to be closely associated with the progression of liver cirrhosis. In addition, functional enrichment analysis of the target genes indicated that cell cycle was the most significantly enriched pathway, and the dysregulation of leukemia inhibitory factor, cancerous inhibitor of protein phosphatase 2A and retinoblastoma‑associated protein 1 clearly suggested their importance in the development of liver cirrhosis. We hypothesized that miR‑21 and miR‑199a‑3p may be promising non‑invasive diagnostic biomarkers for the early diagnosis of liver cirrhosis. The miRNA‑target regulatory network may provide additional insight into the current data regarding the role of miRNAs in liver cirrhosis.
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Copy and paste a formatted citation
Spandidos Publications style
Du H, Yu H, Yang Y, Song Y, Wang F, Li S and Jiang Y: Computational identification of microRNAs and their targets in liver cirrhosis. Oncol Lett 14: 7691-7698, 2017.
APA
Du, H., Yu, H., Yang, Y., Song, Y., Wang, F., Li, S., & Jiang, Y. (2017). Computational identification of microRNAs and their targets in liver cirrhosis. Oncology Letters, 14, 7691-7698. https://doi.org/10.3892/ol.2017.7252
MLA
Du, H., Yu, H., Yang, Y., Song, Y., Wang, F., Li, S., Jiang, Y."Computational identification of microRNAs and their targets in liver cirrhosis". Oncology Letters 14.6 (2017): 7691-7698.
Chicago
Du, H., Yu, H., Yang, Y., Song, Y., Wang, F., Li, S., Jiang, Y."Computational identification of microRNAs and their targets in liver cirrhosis". Oncology Letters 14, no. 6 (2017): 7691-7698. https://doi.org/10.3892/ol.2017.7252
Copy and paste a formatted citation
x
Spandidos Publications style
Du H, Yu H, Yang Y, Song Y, Wang F, Li S and Jiang Y: Computational identification of microRNAs and their targets in liver cirrhosis. Oncol Lett 14: 7691-7698, 2017.
APA
Du, H., Yu, H., Yang, Y., Song, Y., Wang, F., Li, S., & Jiang, Y. (2017). Computational identification of microRNAs and their targets in liver cirrhosis. Oncology Letters, 14, 7691-7698. https://doi.org/10.3892/ol.2017.7252
MLA
Du, H., Yu, H., Yang, Y., Song, Y., Wang, F., Li, S., Jiang, Y."Computational identification of microRNAs and their targets in liver cirrhosis". Oncology Letters 14.6 (2017): 7691-7698.
Chicago
Du, H., Yu, H., Yang, Y., Song, Y., Wang, F., Li, S., Jiang, Y."Computational identification of microRNAs and their targets in liver cirrhosis". Oncology Letters 14, no. 6 (2017): 7691-7698. https://doi.org/10.3892/ol.2017.7252
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