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Cited by 612

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Autophagy Is Essential for Preimplantation Development of Mouse Embryos

Open access
Tsukamoto, Satoshi, Kuma, Akiko, Murakami, Mirei, Kishi, Chieko, Yamamoto, Akitsugu, Mizushima, Noboru·2008·Science

Abstract

After fertilization, maternal proteins in oocytes are degraded and new proteins encoded by the zygotic genome are synthesized. We found that autophagy, a process for the degradation of cytoplasmic constituents in the lysosome, plays a critical role during this period. Autophagy was triggered by fertilization and up-regulated in early mouse embryos. Autophagy-defective oocytes derived from oocyte-specific Atg5 (autophagy-related 5) knockout mice failed to develop beyond the four- and eight-cell stages if they were fertilized by Atg5-null sperm, but could develop if they were fertilized by wild-type sperm. Protein synthesis rates were reduced in the autophagy-null embryos. Thus, autophagic degradation within early embryos is essential for preimplantation development in mammals.

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Crossref · 10.1126/science.1154822

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Metadata

Authors
Tsukamoto, S., Kuma, A., Murakami, M., Kishi, C., Yamamoto, A., & Mizushima, N.
Venue
Science
Published
2008-07-04
Volume
321
Issue
5885
Pages
117-120
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2025824234
Cited by
612
References
6
FWCI
21.46
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Autophagy Is Essential for Preimplantation Development of Mouse Embryos. https://app.cochat.ai/papers/10.1126/science.1154822
The paper
Tsukamoto, S., Kuma, A., Murakami, M., Kishi, C., Yamamoto, A., & Mizushima, N. (2008). Autophagy Is Essential for Preimplantation Development of Mouse Embryos. Science. https://doi.org/10.1126/science.1154822

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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.