The Dawn of the Age of Amino Acid Sensors for the mTORC1 Pathway

Wolfson RL, Sabatini DM · 2017 · Cell metabolism · Atlas ID WOLF2017

What this study shows

Review of the newly discovered amino-acid sensors feeding into mTORC1.

Abstract

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The mechanistic target of rapamycin complex 1 (mTORC1) is a master regulator of cell growth that responds to a diverse set of environmental inputs, including amino acids. Over the past 10 years, a number of proteins have been identified that help transmit amino acid availability to mTORC1. However, amino acid sensors for this pathway have only recently been discovered. Here, we review these recent advances and highlight the variety of unexplored questions that emerge from the identification of these sensors.

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At a glance

Evidence type	R Review — secondary literature, not a new result Marked R because it is a review or synthesis of existing evidence rather than a new primary result; that is a different form of writing, not a weaker one.
Study type	Narrative Review
Model system	Review
Journal	Cell metabolism
Year	2017
Peer reviewed	Yes
Record last updated	2026-10-01
Source	DOI 10.1016/j.cmet.2017.07.001 · PMID 28768171 · Free full text (PMC5560103)

Extracted findings

These fields were extracted from the paper with AI assistance and have not been checked against the source. Read them as a pointer into the paper, not as curated claims; where they disagree with the curated summary above, the curated summary stands.

Intervention	Not applicable (review)
Target	mTORC1 amino-acid sensors
Model	Review
Effect	Reviews the recently discovered amino-acid sensors for the mTORC1 pathway

In the Atlas

Cite this paper

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Wolfson, R. L., & Sabatini, D. M. (2017). The Dawn of the Age of Amino Acid Sensors for the mTORC1 Pathway. Cell metabolism. https://doi.org/10.1016/j.cmet.2017.07.001

@article{WOLF2017,
  author       = {Wolfson, R. L. and Sabatini, D. M.},
  title        = {{The Dawn of the Age of Amino Acid Sensors for the mTORC1 Pathway}},
  journal      = {Cell metabolism},
  year         = {2017},
  doi          = {10.1016/j.cmet.2017.07.001},
  note         = {PMID: 28768171},
}

Cite this Atlas record

The record is the Atlas's own work — the evidence label, the extracted findings and the links. It is cited as part of the dataset, not as the paper.

Barton, O. (2026). Oliver's mTOR Atlas (record WOLF2017) [Data set]. https://mtor-atlas.org/study/WOLF2017/ · Dataset DOI 10.5281/zenodo.22059963

@misc{atlas_WOLF2017,
  author       = {Barton, Oliver},
  title        = {{Oliver's mTOR Atlas}, record WOLF2017},
  howpublished = {Data set},
  year         = {2026},
  url          = {https://mtor-atlas.org/study/WOLF2017/},
  doi          = {10.5281/zenodo.22059963}
}

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