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In Silico Analysis of the Age-Dependent Evolution of the Transcriptome of Mouse Skin Stem Cells

The stem cells located in the hair follicle bulge area are critical for skin regeneration and repair. To date, little is known about the evolution of the transcriptome of these cells across time. Here, we have combined genome-wide expression analyses and a variety of in silico tools to determine the...

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Autores principales: Lorenzo-Martín, L. Francisco, Bustelo, Xosé R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7016981/
https://www.ncbi.nlm.nih.gov/pubmed/31936599
http://dx.doi.org/10.3390/cells9010165
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author Lorenzo-Martín, L. Francisco
Bustelo, Xosé R.
author_facet Lorenzo-Martín, L. Francisco
Bustelo, Xosé R.
author_sort Lorenzo-Martín, L. Francisco
collection PubMed
description The stem cells located in the hair follicle bulge area are critical for skin regeneration and repair. To date, little is known about the evolution of the transcriptome of these cells across time. Here, we have combined genome-wide expression analyses and a variety of in silico tools to determine the age-dependent evolution of the transcriptome of those cells. Our results reveal that the transcriptome of skin stem cells fluctuates extensively along the lifespan of mice. The use of both unbiased and pathway-centered in silico approaches has also enabled the identification of biological programs specifically regulated at those specific time-points. It has also unveiled hubs of highly transcriptionally interconnected genes and transcriptional factors potentially located at the core of those age-specific changes.
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spelling pubmed-70169812020-02-28 In Silico Analysis of the Age-Dependent Evolution of the Transcriptome of Mouse Skin Stem Cells Lorenzo-Martín, L. Francisco Bustelo, Xosé R. Cells Article The stem cells located in the hair follicle bulge area are critical for skin regeneration and repair. To date, little is known about the evolution of the transcriptome of these cells across time. Here, we have combined genome-wide expression analyses and a variety of in silico tools to determine the age-dependent evolution of the transcriptome of those cells. Our results reveal that the transcriptome of skin stem cells fluctuates extensively along the lifespan of mice. The use of both unbiased and pathway-centered in silico approaches has also enabled the identification of biological programs specifically regulated at those specific time-points. It has also unveiled hubs of highly transcriptionally interconnected genes and transcriptional factors potentially located at the core of those age-specific changes. MDPI 2020-01-09 /pmc/articles/PMC7016981/ /pubmed/31936599 http://dx.doi.org/10.3390/cells9010165 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lorenzo-Martín, L. Francisco
Bustelo, Xosé R.
In Silico Analysis of the Age-Dependent Evolution of the Transcriptome of Mouse Skin Stem Cells
title In Silico Analysis of the Age-Dependent Evolution of the Transcriptome of Mouse Skin Stem Cells
title_full In Silico Analysis of the Age-Dependent Evolution of the Transcriptome of Mouse Skin Stem Cells
title_fullStr In Silico Analysis of the Age-Dependent Evolution of the Transcriptome of Mouse Skin Stem Cells
title_full_unstemmed In Silico Analysis of the Age-Dependent Evolution of the Transcriptome of Mouse Skin Stem Cells
title_short In Silico Analysis of the Age-Dependent Evolution of the Transcriptome of Mouse Skin Stem Cells
title_sort in silico analysis of the age-dependent evolution of the transcriptome of mouse skin stem cells
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7016981/
https://www.ncbi.nlm.nih.gov/pubmed/31936599
http://dx.doi.org/10.3390/cells9010165
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