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An Overview of the Molecular Mechanism of Autophagy

Open access
Yang, Zhifen, Klionsky, Daniel J.·2009·Current Topics in Microbiology and Immunology

Abstract

Autophagy is a highly conserved cellular degradation process in which portions of cytosol and organelles are sequestered into a double-membrane vesicle, an autophagosome, and delivered into a degradative organelle, the vacuole/lysosome, for breakdown and eventual recycling of the resulting macromolecules. This process relieves the cell from various stress conditions. Autophagy plays a critical role during cellular development and differentiation, functions in tumor suppression, and may be linked to life span extension. Autophagy also has diverse roles in innate and adaptive immunity, such as resistance to pathogen invasion. Substantial progress has been made in the identification of many autophagy-related (ATG) genes that are essential to drive this cellular process, including both selective and nonselective types of autophagy. Identification of the ATG genes in yeast, and the finding of orthologs in other organisms, reveals the conservation of the autophagic machinery in all eukaryotes. Here, we summarize our current knowledge about the machinery and molecular mechanism of autophagy.

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Metadata

Authors
Yang, Z., & Klionsky, D. J.
Venue
Current Topics in Microbiology and Immunology
Published
2009
Volume
335
Pages
1-32
ISSN
0070-217X (ISSN-L)
OpenAlex
W66711298
Cited by
832
References
20
FWCI
138.34
Type
book chapter
Language
en
Open access
green

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CoChat. (2026). Citation check: An Overview of the Molecular Mechanism of Autophagy. https://app.cochat.ai/papers/10.1007/978-3-642-00302-8_1
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Yang, Z., & Klionsky, D. J. (2009). An Overview of the Molecular Mechanism of Autophagy. Current Topics in Microbiology and Immunology. https://doi.org/10.1007/978-3-642-00302-8_1

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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.