Single Cell Transcriptomics to Understand HSC Heterogeneity and Its Evolution upon Aging

Single-cell transcriptomic technologies enable the uncovering and characterization of cellular heterogeneity and pave the way for studies aiming at understanding the origin and consequences of it. The hematopoietic system is in essence a very well adapted model system to benefit from this technologi...

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Bibliographic Details
Published in:Cells (Basel, Switzerland) Switzerland), 2022-10, Vol.11 (19), p.3125
Main Authors: Hérault, Léonard, Poplineau, Mathilde, Remy, Elisabeth, Duprez, Estelle
Format: Article
Language:English
Subjects:
Aging
Analysis
Bias
Biochemistry, Molecular Biology
Bioinformatics
Blood
Boolean modeling
Cancer
Cell cycle
Cells
Cellular Biology
Epigenetics
Evolution
Gene expression
Genetic aspects
Genomics
Health aspects
Hematopoiesis - genetics
Hematopoietic Stem Cells
HSC aging
Laboratories
Leukemia
Life Sciences
Mathematical models
Models, Biological
Older people
Phenotype
Quantitative Methods
Review
single cell transcriptomic
Stem cells
Subcellular Processes
Transcriptome - genetics
Transcriptomics
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Summary:Single-cell transcriptomic technologies enable the uncovering and characterization of cellular heterogeneity and pave the way for studies aiming at understanding the origin and consequences of it. The hematopoietic system is in essence a very well adapted model system to benefit from this technological advance because it is characterized by different cellular states. Each cellular state, and its interconnection, may be defined by a specific location in the global transcriptional landscape sustained by a complex regulatory network. This transcriptomic signature is not fixed and evolved over time to give rise to less efficient hematopoietic stem cells (HSC), leading to a well-documented hematopoietic aging. Here, we review the advance of single-cell transcriptomic approaches for the understanding of HSC heterogeneity to grasp HSC deregulations upon aging. We also discuss the new bioinformatics tools developed for the analysis of the resulting large and complex datasets. Finally, since hematopoiesis is driven by fine-tuned and complex networks that must be interconnected to each other, we highlight how mathematical modeling is beneficial for doing such interconnection between multilayered information and to predict how HSC behave while aging.
ISSN:2073-4409
2073-4409
DOI:10.3390/cells11193125