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Open AccessArticle

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

1
Centro de Investigación del Cáncer, CSIC—University of Salamanca, 37007 Salamanca, Spain
2
Instituto de Biología Molecular y Celular del Cáncer, CSIC—University of Salamanca, 37007 Salamanca, Spain
3
Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), CSIC—University of Salamanca, 37007 Salamanca, Spain
*
Author to whom correspondence should be addressed.
Cells 2020, 9(1), 165; https://doi.org/10.3390/cells9010165 (registering DOI)
Received: 12 December 2019 / Revised: 3 January 2020 / Accepted: 6 January 2020 / Published: 9 January 2020
(This article belongs to the Section 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 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. View Full-Text
Keywords: skin homeostasis; epidermal stem cell; hair follicle; bulge; bioinformatics; time-course; transcriptomic analysis skin homeostasis; epidermal stem cell; hair follicle; bulge; bioinformatics; time-course; transcriptomic analysis
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Lorenzo-Martín, L.F.; Bustelo, X.R. In Silico Analysis of the Age-Dependent Evolution of the Transcriptome of Mouse Skin Stem Cells. Cells 2020, 9, 165.

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