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Record W2914780443 · doi:10.1126/science.aau9072

Choline acetyltransferase–expressing T cells are required to control chronic viral infection

2019· article· en· W2914780443 on OpenAlexafffund
Maureen A. Cox, Gordon S. Duncan, Gloria Lin, Benjamin E. Steinberg, Lisa Yu, Dirk Brenner, Luke N. Buckler, Andrew Elia, Andrew Wakeham, Brian J. Nieman, Carmen Dominguez‐Brauer, Alisha R. Elford, Kyle T. Gill, Shawn P. Kubli, Jillian Haight, Thorsten Berger, Pamela S. Ohashi, Kevin J. Tracey, Peder S. Olofsson, Tak W. Mak

Bibliographic record

VenueScience · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDiabetes and associated disorders
Canadian institutionsOntario Institute for Cancer ResearchUniversity of TorontoHospital for Sick ChildrenPrincess Margaret Cancer CentreUniversity Health Network
FundersNational Institute of General Medical SciencesCanadian Institutes of Health Research
KeywordsCholine acetyltransferaseVirologyViral infectionAcetyltransferaseChronic infectionBiologyChemistryImmunologyVirusBiochemistryImmune systemAcetylcholineGeneEndocrinology

Abstract

fetched live from OpenAlex

ChAT-ty T cells fight viral infection The neurotransmitter acetylcholine (ACh) is involved in processes such as muscle contraction, neuron communication, and vasodilation. Along with neurons, a population of immunological T cells and B cells express the enzyme choline acetyltransferase (ChAT), which catalyzes the rate-limiting step of ACh production. However, the role of immune cell–derived ACh is unclear. Cox et al. report that the cytokine interleukin-21 (IL-21) induces ChAT expression in CD4 + and CD8 + T cells during lymphocytic choriomeningitis virus infection (see the Perspective by Hickman). T cell–specific deletion of ChAT strongly impaired vasodilation and trafficking of antiviral T cells into infected tissues, which undermined the effective control of a chronic viral infection. Thus, IL-21 plays a critical role during chronic infection. Furthermore, the findings reveal a cholinergic mechanism that can regulate immune cell migration into tissues. Science , this issue p. 639 ; see also p. 585

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 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 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 score0.020
Threshold uncertainty score0.330

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.004
GPT teacher head0.231
Teacher spread0.227 · 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 teacher head, 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

Citations158
Published2019
Admission routes2
Has abstractyes

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