Cited by 594Autophagy in Disease and TherapyPI3K/AKT/mTOR signaling in cancerCellular transport and secretion

Spatial Coupling of mTOR and Autophagy Augments Secretory Phenotypes

Open access
Narita, Masako, Young, Andrew R. J., Arakawa, Satoko, Samarajiwa, Shamith A., Nakashima, Takayuki, Yoshida, Sei, Hong, Sungki, Berry, Lorraine S. +6 more·2011·Science

Abstract

A cellular compartment allows simultaneous protein synthesis and degradation.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1126/science.1205407

Cites

26 of 26 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • OIS is associated with accumulation of autolysosome compartments, where Rag GTPase-dependent sequestration of mTOR correlates with enhanced autophagosome formation and cytokine production.

    “Interestingly, OIS is associated with accumulation of autolysosome compartments, where a Rag GTPase-dependent sequestration of mTOR correlates with enhanced autophagosome formation as well as cytokine production (Narita et al. 2011).”

    From Cellular senescence and its effector programs (2014) · cites this paper as Narita et al. 2011

    The paper reports autolysosome enrichment during Ras-induced senescence and shows that RagB disruption reduces mTOR enrichment in the TASCC and IL-6/8 production (passages [1] and [3]; page unavailable). It places developing autophagosomes outside the TASCC and suggests that this spatial arrangement allows simultaneous activity, but does not show that Rag-dependent mTOR sequestration correlates with enhanced autophagosome formation. (LLM, conf=0.85)

    Experimental — accuracy not yet measured
  • Subcellular localization of autophagy and mTOR might play a key role for simultaneous activation of anabolic and catabolic processes during senescence.

    “We recently showed that the subcellular localization of autophagy and mTOR might play a key role for the simultaneous activation of anabolic and catabolic processes during senescence (Narita et al. 2011).”

    From Cellular senescence and its effector programs (2014) · cites this paper as Narita et al. 2011

  • Autophagy has been implicated in establishing the SASP through the TOR autophagy spatial coupling compartment (TASCC).

    “macro-autophagy (hereafter referred to as autophagy)—a tightly regulated major lysosomal degradation pathway (27–30)—has been implicated in establishing the SASP through the target of rapamycin (TOR) autophagy spatial coupling compartment (TASCC).”
  • Autophagy is both a negative and a positive regulator of senescence, resolving apparently contradictory reports in the literature.

    “Our results indicate that autophagy is both a negative and a positive regulator of senescence, resolving apparently contradictory reports in the literature (31–33, 44).”
  • Autophagy is dynamically activated during OIS and facilitates synthesis of IL-6 and IL-8, major SASP components.

    “Autophagy is dynamically activated during OIS and facilitates the synthesis of interleukin 6 (IL-6) and IL-8, major components of the SASP 58,59 .”

    From Inside and out: the activities of senescence in cancer (2014) · cites this paper as [58]

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Narita, M., Young, A. R. J., Arakawa, S., Samarajiwa, S. A., Nakashima, T., Yoshida, S., Hong, S., Berry, L. S., Reichelt, S., Ferreira, M., Tavaré, S., Inoki, K., Shimizu, S., & Narita, M.
Affiliations
  • Cancer Research UK (GB)
  • Tokyo Medical and Dental University (JP)
  • University of Cambridge (GB)
  • University of Michigan (US)
Corresponding author
  • Narita, Masako
  • Young, Andrew R. J.
  • Narita, Masashi
Venue
Science
Published
2011-05-20
Volume
332
Issue
6032
Pages
966-970
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W1965493795
Cited by
594
References
26
Citations by year
2026: 30 · 2025: 26 · 2024: 41 · 2023: 40 · 2022: 52 · 2021: 50 · 2020: 39 · 2019: 38 · 2018: 36 · 2017: 28 · 2016: 37 · 2015: 31 · 2014: 36 · 2013: 44 · 2012: 45
FWCI
35.04
Type
journal article
Language
en
Open access
Locations
  • Science (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
National Institutes of Health (DK083491)
Topics
  • Health Sciences › Medicine › Epidemiology › Autophagy in Disease and Therapy
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › PI3K/AKT/mTOR signaling in cancer
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Cellular transport and secretion
Keywords
mTOR, autophagy, spatial coupling, Golgi apparatus, lysosomes, Ras-induced senescence, Rag GTPases, amino acid signaling, protein secretion, interleukin-6, interleukin-8, macrophage differentiation, glomerular podocytes, protein turnover
MeSH terms
Amino Acids, Animals, Autophagy, Cell Line, Cytoplasm, Golgi Apparatus, Humans, Lysosomes, Phagosomes, Phenotype, Proteins, Genes, ras, Protein Biosynthesis, Vacuoles, Nocodazole, Interleukin-6, Interleukin-8, Cellular Senescence, Endoplasmic Reticulum, Rough, HL-60 Cells, Monomeric GTP-Binding Proteins, trans-Golgi Network, Cytoplasmic Vesicles, Podocytes, Mice, TOR Serine-Threonine Kinases

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review