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Record W2953106546 · doi:10.1080/15548627.2019.1628545

Autophagy metabolically suppresses CD8<sup>+</sup> T cell antitumor immunity

2019· article· en· W2953106546 on OpenAlex
Gillian Carleton, Julian J. Lum

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueAutophagy · 2019
Typearticle
Languageen
FieldMedicine
TopicAutophagy in Disease and Therapy
Canadian institutionsSpinal Cord Injury BCUniversity of Victoria
FundersBC Cancer FoundationCanadian Cancer Society
KeywordsAutophagyATG5BiologyImmune systemCell biologyCD8T cellImmunityCytotoxic T cellCancer researchImmunologyApoptosisBiochemistry

Abstract

fetched live from OpenAlex

Macroautophagy/autophagy is a critical regulator of adaptive T cell immunity and homeostasis. However, the role of T cell autophagy in regulating antitumor immune responses is less clear. In a recent study, we showed that deletion of the essential autophagy genes Atg5, Atg14, or Atg16l1 in host tissues dramatically impairs growth of autophagy-competent syngeneic tumors. We further demonstrated that CD8+ T cells lacking Atg5 acquire an effector memory phenotype and produce more IFNG/IFN-γ (interferon gamma) and TNF/TNF-α (tumor necrosis factor). These phenotypic changes are accompanied by enhanced glucose metabolism that results in alterations in histone methylation, and upregulation of glycolytic and immune response genes. In accordance with this, we observed control of tumor growth in autophagy-competent mice after adoptive transfer with a sub-therapeutic dose of atg5-/- T cells. Collectively, we discovered a unique, cell-autonomous role for T cell autophagy in the metabolic control of antitumor immunity.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.162
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0100.004

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.257
Teacher spread0.248 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it