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Cited by 327

The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.

Nutrient regulation of mTORC1 at a glance

Open access
Condon, Kendall J., Sabatini, David M.·2019·Journal of Cell Science

Abstract

The mechanistic target of rapamycin (mTOR) signaling pathway coordinates environmental and intracellular cues to control eukaryotic cell growth. As a pivot point between anabolic and catabolic processes, mTOR complex 1 (mTORC1) signaling has established roles in regulating metabolism, translation and autophagy. Hyperactivity of the mTOR pathway is associated with numerous human diseases, including diabetes, cancer and epilepsy. Pharmacological inhibition of the mTOR pathway can extend lifespan in a variety of model organisms. Given its broad control of essential cellular processes and clear relevance to human health, there is extensive interest in elucidating how upstream inputs regulate mTORC1 activation. In this Cell Science at a Glance article and accompanying poster, we summarize our understanding of how extracellular and intracellular signals feed into the mTOR pathway, how the lysosome acts as an mTOR signaling hub, and how downstream signaling controls autophagy and lysosome biogenesis.

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Crossref · 10.1242/jcs.222570

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Metadata

Authors
Condon, K. J., & Sabatini, D. M.
Venue
Journal of Cell Science
Published
2019-11-01
Volume
132
Issue
21
ISSN
  • 0021-9533 (ISSN-L)
  • 1477-9137
OpenAlex
W2982942741
Cited by
327
References
33
FWCI
12.39
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Nutrient regulation of mTORC1 at a glance. https://app.cochat.ai/papers/10.1242/jcs.222570
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Condon, K. J., & Sabatini, D. M. (2019). Nutrient regulation of mTORC1 at a glance. Journal of Cell Science. https://doi.org/10.1242/jcs.222570

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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.