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Record W2097821680 · doi:10.7554/elife.03706

Autophagy is a critical regulator of memory CD8+ T cell formation

2014· article· en· W2097821680 on OpenAlexfundno aff
Daniel J. Puleston, Hanlin Zhang, Timothy J. Powell, Elina Lipina, Stuart Sims, Isabel Panse, Alexander Watson, Vincenzo Cerundolo, Alain Townsend, Paul Klenerman, Anna Katharina Simon

Bibliographic record

VenueeLife · 2014
Typearticle
Languageen
FieldMedicine
TopicAutophagy in Disease and Therapy
Canadian institutionsnot available
FundersBiotechnology and Biological Sciences Research CouncilNatural Sciences and Engineering Research Council of CanadaWellcome TrustLady Tata Memorial TrustAllan and Nesta Ferguson Charitable TrustCancer Research UKMedical Research CouncilWellcome
KeywordsAutophagyCell biologyCD8BiologyCytotoxic T cellT cellMemory cellImmune systemImmunologyGeneticsApoptosis

Abstract

fetched live from OpenAlex

During infection, CD8(+) T cells initially expand then contract, leaving a small memory pool providing long lasting immunity. While it has been described that CD8(+) T cell memory formation becomes defective in old age, the cellular mechanism is largely unknown. Autophagy is a major cellular lysosomal degradation pathway of bulk material, and levels are known to fall with age. In this study, we describe a novel role for autophagy in CD8(+) T cell memory formation. Mice lacking the autophagy gene Atg7 in T cells failed to establish CD8(+) T cell memory to influenza and MCMV infection. Interestingly, autophagy levels were diminished in CD8(+) T cells from aged mice. We could rejuvenate CD8(+) T cell responses in elderly mice in an autophagy dependent manner using the compound spermidine. This study reveals a cell intrinsic explanation for poor CD8(+) T cell memory in the elderly and potentially offers novel immune modulators to improve aged 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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.010
GPT teacher head0.282
Teacher spread0.271 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations362
Published2014
Admission routes1
Has abstractyes

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