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Cited by 182

The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.

Energy metabolism and energy-sensing pathways in mammalian embryonic and adult stem cell fate

Open access
Rafalski, Victoria A., Mancini, Elena, Brunet, Anne·2012·Journal of Cell Science

Abstract

Summary: Metabolism is influenced by age, food intake, and conditions such as diabetes and obesity. How do physiological or pathological metabolic changes influence stem cells, which are crucial for tissue homeostasis? This Commentary reviews recent evidence that stem cells have different metabolic demands than differentiated cells, and that the molecular mechanisms that control stem cell self-renewal and differentiation are functionally connected to the metabolic state of the cell and the surrounding stem cell niche. Furthermore, we present how energy-sensing signaling molecules and metabolism regulators are implicated in the regulation of stem cell self-renewal and differentiation. Finally, we discuss the emerging literature on the metabolism of induced pluripotent stem cells and how manipulating metabolic pathways might aid cellular reprogramming. Determining how energy metabolism regulates stem cell fate should shed light on the decline in tissue regeneration that occurs during aging and facilitate the development of therapies for degenerative or metabolic diseases.

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Crossref · 10.1242/jcs.114827

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Metadata

Authors
Rafalski, V. A., Mancini, E., & Brunet, A.
Venue
Journal of Cell Science
Published
2012-12-01
Volume
125
Issue
23
Pages
5597-5608
ISSN
  • 0021-9533 (ISSN-L)
  • 1477-9137
OpenAlex
W2134581695
Cited by
182
References
39
FWCI
4.41
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Energy metabolism and energy-sensing pathways in mammalian embryonic and adult stem cell fate. https://app.cochat.ai/papers/10.1242/jcs.114827
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Rafalski, V. A., Mancini, E., & Brunet, A. (2012). Energy metabolism and energy-sensing pathways in mammalian embryonic and adult stem cell fate. Journal of Cell Science. https://doi.org/10.1242/jcs.114827

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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.