Competing Endogenous RNA Network in Non-Keloid-Prone Individuals During Wound Healing. Issue 1 (January 2022)

• Record Type: Journal Article
• Authors: Han, Bing; Xu, Shuqia; Liu, Xiangxia; Shi, Jun; Liu, Zheng; Zhang, Yujing; Deng, Yu; Li, Zequan; Xu, Yangbin; Zhu, Zhaowei
• Is Part Of: Journal of craniofacial surgery. Volume 33:Issue 1(2022)
• Publication Date: 2022-01
• Subjects: Bioinformatics -- competitive endogenous RNA -- gene expression matrix database -- long non-coding RNA -- secondary data mining -- wound healing; Facial bones -- Surgery -- Periodicals; Skull -- Surgery -- Periodicals; Face -- Surgery -- Periodicals; Surgery, Plastic -- Periodicals; 617.52
• DOI: 10.1097/SCS.0000000000007824
• Languages: English
• ISSNs: 1049-2275

Abstract

Abstract : Abstract: To study the interaction between differentially expressed long non-coding RNAs (lncRNAs), microRNAs, and messenger RNAs during wound healing in normal individuals. The GSE113621 dataset was downloaded from gene expression matrix, specimens regarding non-keloid-prone individuals were selected, including items before and 6 weeks after injury. A Pearson correlation coefficient of > 0.95 was selected as the index to screen targeting relationships among different RNAs. Cytoscape was used to construct a network diagram. The expression of 2547 lncRNAs was changed during the wound healing process—1479 were upregulated and 1068 were downregulated. After analyzing competitive endogenous RNA network, 4 upregulated (MEG8, MEG3, MIR181A1HG, MIR4435-2HG) lncRNAs were found expressed during wound healing. MEG8/MEG3 may regulate fibroblast proliferation, differentiation, and apoptosis through hsa-miR-296-3p/miR-6763-5p. In-depth mining of gene expression matrix data indicated that lncRNAs and a competitive endogenous RNA regulatory network participate in the wound healing process, possibly providing novel intervention targets and treatment options for delayed wound healing. Abstract : Supplemental Digital Content is available in the text