Time-series analysis of hematopoietic stem cells

Area of Science:

• * Hematology
• * Molecular Biology
• * Gerontology

Background:

• * Hematopoietic stem cells (HSCs) undergo age-related functional decline.
• * Understanding the molecular mechanisms of HSC aging is crucial for addressing age-related hematopoietic dysfunction.

Purpose of the Study:

• * To investigate the molecular mechanisms underlying hematopoietic stem cell (HSC) aging.
• * To identify key genes and pathways involved in HSC aging.
• * To explore potential therapeutic targets for age-related hematopoietic dysfunction.

Main Methods:

• * Downloaded and analyzed gene expression profile GSE32719 from the Gene Expression Omnibus database.
• * Performed differential expression analysis, short time-series expression miner analysis, and weighted co-expression network analysis.
• * Conducted functional enrichment and regulatory network analyses (protein-protein interaction, TF-mRNA-miRNA, disease-gene, drug-gene).

Main Results:

• * Identified 124 hub genes exhibiting time-dependent expression changes during HSC aging.
• * Hub genes were significantly enriched in Hippo and AMP-activated protein kinase (AMPK) signaling pathways.
• * Identified FOS and SIRT1 as key hub genes, with SIRT1 targeted by miR-9-5p and both regulated by transcription factors SP1 and BRCA1, respectively.

Conclusions:

• * FOS, SIRT1, Hippo, and AMPK signaling pathways play critical roles in HSC aging.
• * FOS and SIRT1 are potential therapeutic targets for age-related hematopoietic dysfunction.
• * miR-9-5p may modulate HSC aging by targeting SIRT1.