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Cited by 716

The DOI matches its Crossref record; 148 of the 148 references it cites were found in a registry or an index.

Signal integration by mTORC1 coordinates nutrient input with biosynthetic output

Open access
Dibble, Christian C., Manning, Brendan D.·2013·Nature Cell Biology

Abstract

Flux through metabolic pathways is inherently sensitive to the levels of specific substrates and products, but cellular metabolism is also managed by integrated control mechanisms that sense the nutrient and energy status of a cell or organism. The mechanistic target of rapamycin complex 1 (mTORC1), a protein kinase complex ubiquitous to eukaryotic cells, has emerged as a critical signalling node that links nutrient sensing to the coordinated regulation of cellular metabolism. Here, we discuss the role of mTORC1 as a conduit between cellular growth conditions and the anabolic processes that promote cell growth. The emerging network of signalling pathways through which mTORC1 integrates systemic signals (secreted growth factors) with local signals (cellular nutrients — amino acids, glucose and oxygen — and energy, ATP) is detailed. Our expanding understanding of the regulatory network upstream of mTORC1 provides molecular insights into the integrated sensing mechanisms by which diverse cellular signals converge to control cell physiology.

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Crossref · 10.1038/ncb2763

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Metadata

Authors
Dibble, C. C., & Manning, B. D.
Venue
Nature Cell Biology
Published
2013-06
Volume
15
Issue
6
Pages
555-564
ISSN
  • 1465-7392 (ISSN-L)
  • 1476-4679
OpenAlex
W2086528604
Cited by
716
References
148
FWCI
28.91
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Signal integration by mTORC1 coordinates nutrient input with biosynthetic output. https://app.cochat.ai/papers/10.1038/ncb2763
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Dibble, C. C., & Manning, B. D. (2013). Signal integration by mTORC1 coordinates nutrient input with biosynthetic output. Nature Cell Biology. https://doi.org/10.1038/ncb2763

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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.