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

• Main Authors: L. Francisco Lorenzo-Martín, Xosé R. Bustelo
• Format: Article
• Language: English
• Published: MDPI AG 2020-01-01
• Series: Cells
• Subjects: skin homeostasis; epidermal stem cell; hair follicle; bulge; bioinformatics; time-course; transcriptomic analysis
• Online Access: https://www.mdpi.com/2073-4409/9/1/165

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.