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Cited by 163

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Empowering self-renewal and differentiation: the role of mitochondria in stem cells

Open access
Rehman, Jalees·2010·Journal of Molecular Medicine

Abstract

Stem cells are characterized by their multi-lineage differentiation potential (pluripotency) and their ability for self-renewal, which permits them to proliferate while avoiding lineage commitment and senescence. Recent studies demonstrate that undifferentiated, pluripotent stem cells display lower levels of mitochondrial mass and oxidative phosphorylation, and instead preferentially use non-oxidative glycolysis as a major source of energy. Hypoxia is a potent suppressor of mitochondrial oxidation and appears to promote “stemness” in adult and embryonic stem cells. This has lead to an emerging paradigm, that mitochondrial oxidative metabolism is not just an indicator of the undifferentiated state of stem cells, but may also regulate the pluripotency and self-renewal of stem cells. The identification of specific mitochondrial pathways that regulate stem cell fate may therefore enable metabolic programming and reprogramming of stem cells.

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Metadata

Authors
Rehman, J.
Venue
Journal of Molecular Medicine
Published
2010-09-01
Volume
88
Issue
10
Pages
981-986
ISSN
  • 0946-2716 (ISSN-L)
  • 1432-1440
OpenAlex
W2133810389
Cited by
163
References
8
FWCI
6.14
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Empowering self-renewal and differentiation: the role of mitochondria in stem cells. https://app.cochat.ai/papers/10.1007/s00109-010-0678-2
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Rehman, J. (2010). Empowering self-renewal and differentiation: the role of mitochondria in stem cells. Journal of Molecular Medicine. https://doi.org/10.1007/s00109-010-0678-2

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.