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Cited by 265

The DOI matches its Crossref record; 214 of the 214 references it cites were found in a registry or an index.

How to Live Long and Prosper: Autophagy, Mitochondria, and Aging

Yen, Wei-Lien, Klionsky, Daniel J.·2008·Physiology

Abstract

Autophagy is a process of cellular self-degradation in which portions of the cytoplasm are sequestered within cytosolic double-membrane vesicles and delivered to the lysosome/vacuole. This process occurs in all eukaryotic cells and is partly a stress response; autophagy is induced during starvation and hypoxia. However, autophagy also plays a role during development and is associated with a range of diseases. Accumulating data also suggest the involvement of autophagy in aging. For example, the role of various hormones and nutrient sensing pathways in life span extension may involve autophagy. Similarly, autophagy is the primary mechanism for removing damaged organelles, such as mitochondria, which may have a direct impact on aging. Here, we review the role of autophagy, with an emphasis on the signaling pathways that are involved in regulation, and the consequences of autophagy induction with regard to aging.

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Registry

Crossref · 10.1152/physiol.00013.2008

Cites

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Citations

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Metadata

Authors
Yen, W.-L., & Klionsky, D. J.
Venue
Physiology
Published
2008-10
Volume
23
Issue
5
Pages
248-262
ISSN
  • 0886-1714 (ISSN-L)
  • 1548-9213
  • 1548-9221
OpenAlex
W2143542604
Cited by
265
References
214
FWCI
16.20
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: How to Live Long and Prosper: Autophagy, Mitochondria, and Aging. https://app.cochat.ai/papers/10.1152/physiol.00013.2008
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Yen, W.-L., & Klionsky, D. J. (2008). How to Live Long and Prosper: Autophagy, Mitochondria, and Aging. Physiology. https://doi.org/10.1152/physiol.00013.2008

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.