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Single-cell RNA-seq reveals changes in cell cycle and differentiation programs upon aging of hematopoietic stem cells.
- Source :
-
Genome research [Genome Res] 2015 Dec; Vol. 25 (12), pp. 1860-72. Date of Electronic Publication: 2015 Oct 01. - Publication Year :
- 2015
-
Abstract
- Both intrinsic cell state changes and variations in the composition of stem cell populations have been implicated as contributors to aging. We used single-cell RNA-seq to dissect variability in hematopoietic stem cell (HSC) and hematopoietic progenitor cell populations from young and old mice from two strains. We found that cell cycle dominates the variability within each population and that there is a lower frequency of cells in the G1 phase among old compared with young long-term HSCs, suggesting that they traverse through G1 faster. Moreover, transcriptional changes in HSCs during aging are inversely related to those upon HSC differentiation, such that old short-term (ST) HSCs resemble young long-term (LT-HSCs), suggesting that they exist in a less differentiated state. Our results indicate both compositional changes and intrinsic, population-wide changes with age and are consistent with a model where a relationship between cell cycle progression and self-renewal versus differentiation of HSCs is affected by aging and may contribute to the functional decline of old HSCs.<br /> (© 2015 Kowalczyk et al.; Published by Cold Spring Harbor Laboratory Press.)
- Subjects :
- Age Factors
Animals
Biomarkers
Cluster Analysis
Computational Biology methods
Female
Gene Expression Profiling
High-Throughput Nucleotide Sequencing
Mice
Models, Biological
Multipotent Stem Cells cytology
Multipotent Stem Cells metabolism
Organ Specificity genetics
Phenotype
Sequence Analysis, RNA
Single-Cell Analysis
Transcription, Genetic
Transcriptome
Cell Cycle genetics
Cell Differentiation genetics
Cellular Senescence genetics
Gene Expression Regulation
Hematopoietic Stem Cells cytology
Hematopoietic Stem Cells metabolism
Subjects
Details
- Language :
- English
- ISSN :
- 1549-5469
- Volume :
- 25
- Issue :
- 12
- Database :
- MEDLINE
- Journal :
- Genome research
- Publication Type :
- Academic Journal
- Accession number :
- 26430063
- Full Text :
- https://doi.org/10.1101/gr.192237.115