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Microarray analysis of the time‑dependent expression profiles of long non‑coding RNAs in the progression of vein graft stenotic disease

  • Authors:
    • Jiayu Shen
    • Hongwei Zhang
    • Chen Lu
    • Jun Gu
    • Yu Zhang
    • Jia Hu
  • View Affiliations / Copyright

    Affiliations: Department of Cardiovascular Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, P.R. China
    Copyright: © Shen et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Article Number: 635
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    Published online on: April 15, 2021
       https://doi.org/10.3892/etm.2021.10067
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Abstract

Long non‑coding RNAs (lncRNAs) have been reported to be involved in various biological processes, including cell proliferation and apoptosis. However, the expression profiles of lncRNAs in patients with vein graft restenosis remain unknown. In the present study, the time‑dependent expression profiles of genes in vein bypass grafting models were examined by microarray analysis. A total of 2,572 lncRNAs and 1,652 mRNAs were identified to be persistently significantly differentially expressed. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analysis was performed to investigate the functions of these lncRNAs. A total of 360 lncRNAs and 135 protein‑coding genes were predicted to be involved in the vascular remodeling process. Co‑expression network analysis revealed the association between 194 lncRNAs and seven associated protein‑coding genes, including transforming growth factor‑β1, Fes, Yes1 associated transcriptional regulator, sphingosine‑1‑phosphate receptor 1, Src, insulin receptor and melanoma cell adhesion molecule. Moreover, reverse transcription‑quantitative PCR results supported those of the microarray data, and overexpression of AF062402, which regulates the transcription of Src, stimulated the proliferation of primary vascular smooth muscle cells. The findings of the present study may facilitate the development of novel therapeutic targets for vein graft restenosis and may help to improve the prognosis of patients following coronary artery bypass grafting.
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Copy and paste a formatted citation
Spandidos Publications style
Shen J, Zhang H, Lu C, Gu J, Zhang Y and Hu J: Microarray analysis of the time‑dependent expression profiles of long non‑coding RNAs in the progression of vein graft stenotic disease. Exp Ther Med 21: 635, 2021.
APA
Shen, J., Zhang, H., Lu, C., Gu, J., Zhang, Y., & Hu, J. (2021). Microarray analysis of the time‑dependent expression profiles of long non‑coding RNAs in the progression of vein graft stenotic disease. Experimental and Therapeutic Medicine, 21, 635. https://doi.org/10.3892/etm.2021.10067
MLA
Shen, J., Zhang, H., Lu, C., Gu, J., Zhang, Y., Hu, J."Microarray analysis of the time‑dependent expression profiles of long non‑coding RNAs in the progression of vein graft stenotic disease". Experimental and Therapeutic Medicine 21.6 (2021): 635.
Chicago
Shen, J., Zhang, H., Lu, C., Gu, J., Zhang, Y., Hu, J."Microarray analysis of the time‑dependent expression profiles of long non‑coding RNAs in the progression of vein graft stenotic disease". Experimental and Therapeutic Medicine 21, no. 6 (2021): 635. https://doi.org/10.3892/etm.2021.10067
Copy and paste a formatted citation
x
Spandidos Publications style
Shen J, Zhang H, Lu C, Gu J, Zhang Y and Hu J: Microarray analysis of the time‑dependent expression profiles of long non‑coding RNAs in the progression of vein graft stenotic disease. Exp Ther Med 21: 635, 2021.
APA
Shen, J., Zhang, H., Lu, C., Gu, J., Zhang, Y., & Hu, J. (2021). Microarray analysis of the time‑dependent expression profiles of long non‑coding RNAs in the progression of vein graft stenotic disease. Experimental and Therapeutic Medicine, 21, 635. https://doi.org/10.3892/etm.2021.10067
MLA
Shen, J., Zhang, H., Lu, C., Gu, J., Zhang, Y., Hu, J."Microarray analysis of the time‑dependent expression profiles of long non‑coding RNAs in the progression of vein graft stenotic disease". Experimental and Therapeutic Medicine 21.6 (2021): 635.
Chicago
Shen, J., Zhang, H., Lu, C., Gu, J., Zhang, Y., Hu, J."Microarray analysis of the time‑dependent expression profiles of long non‑coding RNAs in the progression of vein graft stenotic disease". Experimental and Therapeutic Medicine 21, no. 6 (2021): 635. https://doi.org/10.3892/etm.2021.10067
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