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Identification of key genes induced by platelet-rich plasma in human dermal papilla cells using bioinformatics methods
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 pap...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5355651/ https://www.ncbi.nlm.nih.gov/pubmed/27922680 http://dx.doi.org/10.3892/mmr.2016.5988 |
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author | Shen, Haiyan Cheng, Hanxiao Chen, Haihua Zhang, Jufang |
author_facet | Shen, Haiyan Cheng, Hanxiao Chen, Haihua Zhang, Jufang |
author_sort | Shen, Haiyan |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5355651 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
spelling | pubmed-53556512017-03-31 Identification of key genes induced by platelet-rich plasma in human dermal papilla cells using bioinformatics methods Shen, Haiyan Cheng, Hanxiao Chen, Haihua Zhang, Jufang Mol Med Rep Articles 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. D.A. Spandidos 2017-01 2016-12-06 /pmc/articles/PMC5355651/ /pubmed/27922680 http://dx.doi.org/10.3892/mmr.2016.5988 Text en Copyright: © Shen et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
spellingShingle | Articles Shen, Haiyan Cheng, Hanxiao Chen, Haihua Zhang, Jufang Identification of key genes induced by platelet-rich plasma in human dermal papilla cells using bioinformatics methods |
title | Identification of key genes induced by platelet-rich plasma in human dermal papilla cells using bioinformatics methods |
title_full | Identification of key genes induced by platelet-rich plasma in human dermal papilla cells using bioinformatics methods |
title_fullStr | Identification of key genes induced by platelet-rich plasma in human dermal papilla cells using bioinformatics methods |
title_full_unstemmed | Identification of key genes induced by platelet-rich plasma in human dermal papilla cells using bioinformatics methods |
title_short | Identification of key genes induced by platelet-rich plasma in human dermal papilla cells using bioinformatics methods |
title_sort | identification of key genes induced by platelet-rich plasma in human dermal papilla cells using bioinformatics methods |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5355651/ https://www.ncbi.nlm.nih.gov/pubmed/27922680 http://dx.doi.org/10.3892/mmr.2016.5988 |
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