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Article Open Access

Identification of key genes induced by platelet-rich plasma in human dermal papilla cells using bioinformatics methods

  • Authors:
    • Haiyan Shen
    • Hanxiao Cheng
    • Haihua Chen
    • Jufang Zhang
  • View Affiliations / Copyright

    Affiliations: Department of Plastic Surgery, Hangzhou First People's Hospital, Nanjing Medical University, Hangzhou, Zhejiang 310006, P.R. China
    Copyright: © Shen et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 81-88
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    Published online on: December 6, 2016
       https://doi.org/10.3892/mmr.2016.5988
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Abstract

Dermal papilla cells (DPCs) are located at the base of hair follicles, and are known to induce hair follicle regeneration. Platelet-rich plasma (PRP) functions in hair follicle regeneration. To investigate the influence of PRP on DPCs, the present study analyzed RNA‑seq data of human hair dermal papilla cells (HHDPCs) that were treated or untreated by PRP. The data included in the RNA‑seq were from two normal and two treated HHDPC samples. Following identification by Cuffdiff software, differentially expressed genes (DEGs) underwent enrichment analyses, and protein-protein interaction networks were constructed using Cytoscape software. Additionally, transcription factor (TF)‑DEG and TF-long non‑coding RNA (lncRNA) regulatory networks were constructed. A total of 178 differentially expressed lncRNA were screened, 365 were upregulated and 142 were downregulated. Notably, upregulated cyclin dependent kinase 1 (CDK1) (degree=76), polo‑like kinase 1 (PLK1) (degree=65), cell division cycle 20 (degree=50), cyclin B1 (degree=49), aurora kinase B (degree=47), cyclin dependent kinase 2 (degree=46) and downregulated v‑myc avian myelocytomatosis viral oncogene homolog (MYC) (degree=12) had higher degrees in networks. In addition, CCAAT/enhancer binding protein β, E2F transcription factor 1 (E2F1), early growth response 1 and MYC may be key TFs for their target genes, and were enriched in pathways associated with the cell cycle. They may also be involved in cell proliferation via various interactions with other genes, for example CDK1‑PLK1 and E2F1→CDK1. These dysregulated genes induced by PRP may affect proliferation of HHDPCs.
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Copy and paste a formatted citation
Spandidos Publications style
Shen H, Cheng H, Chen H and Zhang J: Identification of key genes induced by platelet-rich plasma in human dermal papilla cells using bioinformatics methods. Mol Med Rep 15: 81-88, 2017.
APA
Shen, H., Cheng, H., Chen, H., & Zhang, J. (2017). Identification of key genes induced by platelet-rich plasma in human dermal papilla cells using bioinformatics methods. Molecular Medicine Reports, 15, 81-88. https://doi.org/10.3892/mmr.2016.5988
MLA
Shen, H., Cheng, H., Chen, H., Zhang, J."Identification of key genes induced by platelet-rich plasma in human dermal papilla cells using bioinformatics methods". Molecular Medicine Reports 15.1 (2017): 81-88.
Chicago
Shen, H., Cheng, H., Chen, H., Zhang, J."Identification of key genes induced by platelet-rich plasma in human dermal papilla cells using bioinformatics methods". Molecular Medicine Reports 15, no. 1 (2017): 81-88. https://doi.org/10.3892/mmr.2016.5988
Copy and paste a formatted citation
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Spandidos Publications style
Shen H, Cheng H, Chen H and Zhang J: Identification of key genes induced by platelet-rich plasma in human dermal papilla cells using bioinformatics methods. Mol Med Rep 15: 81-88, 2017.
APA
Shen, H., Cheng, H., Chen, H., & Zhang, J. (2017). Identification of key genes induced by platelet-rich plasma in human dermal papilla cells using bioinformatics methods. Molecular Medicine Reports, 15, 81-88. https://doi.org/10.3892/mmr.2016.5988
MLA
Shen, H., Cheng, H., Chen, H., Zhang, J."Identification of key genes induced by platelet-rich plasma in human dermal papilla cells using bioinformatics methods". Molecular Medicine Reports 15.1 (2017): 81-88.
Chicago
Shen, H., Cheng, H., Chen, H., Zhang, J."Identification of key genes induced by platelet-rich plasma in human dermal papilla cells using bioinformatics methods". Molecular Medicine Reports 15, no. 1 (2017): 81-88. https://doi.org/10.3892/mmr.2016.5988
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