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DNA Damage Response in Hematopoietic Stem Cell Ageing
Tangliang Li, Zhong‐Wei Zhou, Zhenyu Ju, Zhao‐Qi Wang
Genomics Proteomics & Bioinformatics · 2016 · ▲ 63 citations
Genomic instability
Epigenetic alterations
Cellular senescence
Stem-cell exhaustion
Altered intercellular communication
Mouse
Review
Abstract
Maintenance of tissue-specific stem cells is vital for organ homeostasis and organismal longevity. Hematopoietic stem cells (HSCs) are the most primitive cell type in the hematopoietic system. They divide asymmetrically and give rise to daughter cells with HSC identity (self-renewal) and progenitor progenies (differentiation), which further proliferate and differentiate into full hematopoietic lineages. Mammalian ageing process is accompanied with abnormalities in the HSC self-renewal and differentiation. Transcriptional changes and epigenetic modulations have been implicated as the key regulators in HSC ageing process. The DNA damage response (DDR) in the cells involves an orchestrated signaling pathway, consisting of cell cycle regulation, cell death and senescence(definition), transcriptional regulation, as well as chromatin remodeling. Recent studies employing DNA repair-deficient mouse models indicate that DDR could intrinsically and extrinsically regulate HSC maintenance and play important roles in tissue homeostasis of the hematopoietic system. In this review, we summarize the current understanding of how the DDR determines the HSC fates and finally contributes to organismal ageing.
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- 10.1016/j.gpb.2016.04.002
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- 2026-08-03 MST
Cite this
APA
Li, T., Zhou, Z., Ju, Z., & Wang, Z. (2016). DNA Damage Response in Hematopoietic Stem Cell Ageing. <em>Genomics Proteomics & Bioinformatics</em>. https://doi.org/10.1016/j.gpb.2016.04.002
Vancouver
Li T, Zhou Z, Ju Z, Wang Z. DNA Damage Response in Hematopoietic Stem Cell Ageing. Genomics Proteomics & Bioinformatics. 2016. doi:10.1016/j.gpb.2016.04.002.
BibTeX
@article{tangliang2016DNADam,
title = {DNA Damage Response in Hematopoietic Stem Cell Ageing},
author = {Tangliang Li and Zhong‐Wei Zhou and Zhenyu Ju and Zhao‐Qi Wang},
journal = {Genomics Proteomics & Bioinformatics},
year = {2016},
doi = {10.1016/j.gpb.2016.04.002},
}
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