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Record W2018172746 · doi:10.1002/eji.200535277

A novel PKC regulates ERK activation and degranulation of cytotoxic T lymphocytes: Plasticity in PKC regulation of ERK

2006· article· en· W2018172746 on OpenAlexaff
Lawrence G. Puente, Jin‐Shu He, Hanne L. Ostergaard

Bibliographic record

VenueEuropean Journal of Immunology · 2006
Typearticle
Languageen
FieldImmunology and Microbiology
TopicT-cell and B-cell Immunology
Canadian institutionsOttawa HospitalOntario GenomicsUniversity of Alberta
FundersNational Cancer InstituteFondation pour la Recherche Médicale
KeywordsCTL*MAPK/ERK pathwayDegranulationProtein kinase CCell biologyCytotoxic T cellBiologyKinaseReceptorBiochemistryIn vitro

Abstract

fetched live from OpenAlex

Stimulation of cytotoxic T lymphocyte (CTL) degranulation with plate-bound anti-CD3 Ab leads to two phases of ERK activation: an early PKC-independent phase followed by a later sustained PKC-dependent phase. Herein, we show that a novel PKC (nPKC) mediates the late phase of ERK activation, upstream of Ras in murine T cells. In contrast, when CTL are activated with cross-linked anti-CD3 Ab, which does not trigger CTL degranulation, there is a requirement for conventional PKC (cPKC) for ERK activation. We detect increased novel PKCtheta activation only when CTL are stimulated with plate-bound Ab and not cross-linked Ab. Interestingly, in T cells from mice lacking PKCtheta, sustained ERK activation requires the activity of cPKC, implying that PKCtheta is required for the nPKC pathway that normally mediates sustained ERK activation. CTL lines derived from PKCtheta-deficient mice degranulate and activate ERK normally, and exhibit altered expression of PKC isozymes, which may compensate for the loss of PKCtheta. Taken together, these data demonstrate that normally an nPKC participates in the sustained activation of ERK. However, if the nPKC pathway is compromised, alternate PKC pathways can compensate, suggesting that considerable plasticity exists with respect to PKC regulation of ERK activation in T cells.

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)0.001
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 score0.302
Threshold uncertainty score0.832

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
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 head0.011
GPT teacher head0.200
Teacher spread0.189 · 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

Citations38
Published2006
Admission routes1
Has abstractyes

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