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Series GSE262784 Query DataSets for GSE262784
Status Public on Jan 08, 2025
Title Mitochondria-enriched hematopoietic stem cells exhibit elevated self-renewal capabilities, thriving within the context of aged bone marrow [single cell multiome]
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Genome binding/occupancy profiling by high throughput sequencing
Summary The aging of hematopoietic stem cells (HSCs) significantly alters their characteristics. Mitochondria, essential for cellular metabolism, play a crucial role, and their dysfunction is a hallmark of aging-induced changes. The impact of mitochondrial mass on aged HSCs remains incompletely understood. Here, we demonstrate that HSCs with high mitochondrial mass during aging are not merely cells that have accumulated damaged mitochondria and become exhausted. Instead, these HSCs retain a high regenerative capacity and remain in the aging bone marrow. Furthermore, we identified GPR183 as a novel marker characterizing aged HSCs through single-cell analysis. HSCs marked by GPR183 were also enriched in aged HSCs with high mitochondrial mass, possessing a high capacity of self-renewal. These insights deepen our understanding of HSC aging and provide new perspectives on the assessment of aged HSCs, underscoring the importance of mitochondrial dynamics in the aging.
 
Overall design Single cell mutiome analysis (single cell RNA-seq and single cell ATAC-seq) of young and aged mitoDendra2 Low and High HSCs
 
Contributor(s) Matsumura T, Suda T
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Submission date Mar 29, 2024
Last update date Jan 09, 2025
Contact name Takayoshi Matsumura
Organization name National University of Singapore
Street address 14 Medical Drive #12-01
City Singapore
ZIP/Postal code 117599
Country Singapore
 
Platforms (1)
GPL28457 DNBSEQ-G400 (Mus musculus)
Samples (8)
GSM8178867 1_young_mitoDendra2_Low_RNAseq
GSM8178868 2_young_mitoDendra2_High_RNAseq
GSM8178869 3_aged_mitoDendra2_Low_RNAseq
Relations
BioProject PRJNA1093379

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Supplementary file Size Download File type/resource
GSE262784_RAW.tar 4.1 Gb (http)(custom) TAR (of BED, CSV, H5, TSV)
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Raw data are available in SRA

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