June 2015
Volume 56, Issue 7
Free
ARVO Annual Meeting Abstract  |   June 2015
Bioinformatic Analyses of Signaling Pathway Networks and miRNA Expression Profile Changes Contributing to Corneal Epithelial Wound Healing
Author Affiliations & Notes
  • Dongsheng Yan
    Sch of Ophthal & Optometry, Wenzhou Medical University, Wenzhou, China
  • Xiaoyan Chen
    Sch of Ophthal & Optometry, Wenzhou Medical University, Wenzhou, China
  • Weiwei Chen
    Sch of Ophthal & Optometry, Wenzhou Medical University, Wenzhou, China
  • Peter S Reinach
    Sch of Ophthal & Optometry, Wenzhou Medical University, Wenzhou, China
  • Lili Tu
    Sch of Ophthal & Optometry, Wenzhou Medical University, Wenzhou, China
  • Footnotes
    Commercial Relationships Dongsheng Yan, None; Xiaoyan Chen, None; Weiwei Chen, None; Peter Reinach, None; Lili Tu, None
  • Footnotes
    Support None
Investigative Ophthalmology & Visual Science June 2015, Vol.56, 701. doi:
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      Dongsheng Yan, Xiaoyan Chen, Weiwei Chen, Peter S Reinach, Lili Tu; Bioinformatic Analyses of Signaling Pathway Networks and miRNA Expression Profile Changes Contributing to Corneal Epithelial Wound Healing. Invest. Ophthalmol. Vis. Sci. 2015;56(7 ):701.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose: MicroRNAs (miRNAs) are endogenous short (~22) nucleotide non-coding RNAs, which inhibit protein translation through binding to target mRNAs. Recent studies have implied that miRNAs play a regulatory role in corneal development. In the present study, we profile their involvement in corneal epithelial renewal and develop a miRNA-Target-Network that affects wound healing outcome.

Methods: Mouse corneal epithelial cell layers were scratch wounded and harvested. NanoString nCounter technology analyzed differentially expressed miRNAs during mouse corneal epithelial wound healing. To generate a miRNA-target network, we utilized Targetscan for predicting miRNA targets. Gene ontology (GO) analysis facilitated elucidating the biological implications of unique target genes. Furthermore, pathway analysis identified significant signaling axes according to the KEGG database.

Results: About 15 miRNAs were dramatically downregulated whereas 14 other miRNAs were markedly upregulated during corneal wound healing. miR-204 and miR-184 were the most downregulated miRNAs. Bioinformatic analyses reveal a complex miRNA-target network during corneal wound healing.

Conclusions: Our results revealed differentially expressed miRNAs during corneal epithelial wound healing and a complex miRNA-gene-network that is modulated by these miRNAs. Downregulation of miR-204 and miR-184 appears to be an essential response to injury.

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