Oliver's mTOR Atlas Evidence Platform
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Spatial coupling of mTOR and autophagy augments secretory phenotypes

Narita Masako, Young AR, Arakawa S, Samarajiwa SA, Nakashima T, Yoshida S, Hong S, Berry LS, Reichelt S, Ferreira M, Tavare S, …, Narita Masashi · 2011 · Science · Atlas ID NAR2011

What this study shows

Protein synthesis and autophagic degradation are usually described as opposites that mTOR switches between, and this paper shows a compartment where the cell deliberately runs both at once. In senescent cells, autolysosomes and mTOR gather at one side of the Golgi (the TASCC), mTOR gets there in an amino-acid- and Rag-dependent way, and destroying that arrangement cuts interleukin-6/8 secretion. Boundary: cells, not organisms; it explains how the senescent secretory programme is fuelled, not whether blocking it helps an animal.

Abstract

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Protein synthesis and autophagic degradation are regulated in an opposite manner by mammalian target of rapamycin (mTOR), whereas under certain conditions it would be beneficial if they occurred in unison to handle rapid protein turnover. We observed a distinct cellular compartment at the trans side of the Golgi apparatus, the TOR-autophagy spatial coupling compartment (TASCC), where (auto)lysosomes and mTOR accumulated during Ras-induced senescence.

Read the full abstract on PubMed →

At a glance

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Evidence type M Molecular — cells, biochemistry, structure Marked M because it is molecular or in-vitro work (model: Human and mouse cells (Ras-induced senescent fibroblasts, macrophages, podocytes)) rather than a whole-organism health-outcome study. That is often exactly where causal biology gets established -- the code says which system the finding was shown in, and nothing about how good the work is.
Study type5 - Mechanistic / In Vitro
Model systemHuman and mouse cells (Ras-induced senescent fibroblasts, macrophages, podocytes)
JournalScience
Year2011
Peer reviewedYes
Record last updated2026-10-01
SourceDOI 10.1126/science.1205407 · PMID 21512002

Where this study fits

How this study connects to the pathway map, open questions, people and other studies in the Atlas.

Pathway relations

Supports

mTORC1 activates Senescence-associated secretory phenotype (SASP)

Strongest evidence: A (Animal model) · emerging, few independent studies · Status: Proposed

plausible in people, not shown directly

Three studies, all in cells or a rat disease model. LAB2015 and NAR2011 measure the secretory output of cells that are already senescent (IL1A translation; IL-6/IL-8 production fuelled by mTOR at the TASCC). CHEN2026C (human disc cells,…

Supports

Rag GTPases recruits mTORC1

Strongest evidence: A (Animal model) · settled in the literature · Status: Proposed

plausible in people, not shown directly

Rag paralogues are not interchangeable: RagC/D sets substrate specificity downstream (RagD favors TFEB/TFE3 phosphorylation via tighter LAMTOR binding, while both Rags are involved for non-lysosomal substrates like S6K), and RagA/B sets…

People in the Atlas

  • Masako Narita first author · 1 study in the Atlas

    Discovered, as first author, the TASCC, a compartment in senescent cells where mTOR and autophagy work side by side to fuel the secretion of inflammatory proteins

  • Masashi Narita last author · 1 study in the Atlas

    Studies what senescent cells do to the tissue around them, and showed that mTOR position, not just mTOR activity, sets their secretory output

  • Sen Hong 1 study in the Atlas

    First-authored the cryo-EM structure identifying TM6SF1 as a lysosomal cholesterol-binding protein involved in regulating mTORC1 signalling

  • Ken Inoki 7 studies in the Atlas

    Showed as a postdoc in Kun-Liang Guan's lab that Akt switches off TSC2, that TSC2 is the off-switch (GAP) for the small GTPase Rheb, and that AMPK and GSK3 feed energy and Wnt signals into the same brake. His Michigan lab studies mTOR signalling in metabolism and kidney disease

More: 10 other authors

No profile yet: Young AR, Arakawa S, Samarajiwa SA, Nakashima T, Yoshida S, Berry LS, Reichelt S, Ferreira M, Tavare S, Shimizu S

Related studies

More related studies

All 125 studies on mTOR

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.

InterventionDisruption of mTOR localisation to the TASCC; amino-acid and Rag GTPase manipulation
TargetmTOR spatial coupling with autolysosomes (TASCC); SASP (IL-6/IL-8)
ModelHuman and mouse cells (Ras-induced senescent fibroblasts, macrophages, podocytes)
EffectCo-localising mTOR with autolysosomes at the trans-Golgi supports mass synthesis of secreted proteins; disrupting it reduces IL-6/8 synthesis.

Cite this paper

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Narita Masako, Young, A. R., Arakawa, S., Samarajiwa, S. A., Nakashima, T., Yoshida, S., Hong, S., Berry, L. S., Reichelt, S., Ferreira, M., Tavare, S., Inoki, K., Shimizu, S., & Narita Masashi (2011). Spatial coupling of mTOR and autophagy augments secretory phenotypes. Science. https://doi.org/10.1126/science.1205407

@article{NAR2011,
  author       = {Narita Masako and Young, A. R. and Arakawa, S. and Samarajiwa, S. A. and Nakashima, T. and Yoshida, S. and Hong, S. and Berry, L. S. and Reichelt, S. and Ferreira, M. and Tavare, S. and Inoki, K. and Shimizu, S. and Narita Masashi},
  title        = {{Spatial coupling of mTOR and autophagy augments secretory phenotypes}},
  journal      = {Science},
  year         = {2011},
  doi          = {10.1126/science.1205407},
  note         = {PMID: 21512002},
}

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 NAR2011) [Data set]. https://mtor-atlas.org/study/NAR2011/ · Dataset DOI 10.5281/zenodo.22059963

@misc{atlas_NAR2011,
  author       = {Barton, Oliver},
  title        = {{Oliver's mTOR Atlas}, record NAR2011},
  howpublished = {Data set},
  year         = {2026},
  url          = {https://mtor-atlas.org/study/NAR2011/},
  doi          = {10.5281/zenodo.22059963}
}
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