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Record W1556534409 · doi:10.4049/jimmunol.173.2.1111

The E2F-1 Transcription Factor Promotes Caspase-8 and Bid Expression, and Enhances Fas Signaling in T Cells

2004· article· en· W1556534409 on OpenAlexaff
Qingyu Cao, Ying Xia, Mitra Azadniv, Ian Nicholas Crispe

Bibliographic record

VenueThe Journal of Immunology · 2004
Typearticle
Languageen
FieldMedicine
TopicCancer-related Molecular Pathways
Canadian institutionsWestern University
FundersNational Institute of General Medical SciencesNational Institutes of Health
KeywordsTranscription factorCell biologyE2FChemistryCaspase 8Molecular biologyCaspase 3ApoptosisBiologyProgrammed cell deathBiochemistryGene

Abstract

fetched live from OpenAlex

The immune system depends on the extensive proliferation of rare Ag-specific precursor T lymphocytes, followed by their differentiation, the delivery of effector function, and finally death by apoptosis. T cells that lack the E2F-1 transcription factor, which is activated as cells pass the restriction point and enter S phase, show defects in activation-induced cell death. We now report that E2F-1 increases the activity of an apoptotic pathway that is important in murine primary T cells. Thus, E2F-1 promotes the transcription of Bid, a molecule that links death receptor signaling to the activation of apoptotic mechanisms in mitochondria. It also promotes the transcription of caspase-8, the enzyme that cleaves and activates Bid. Enforced expression of Bid can partially restore apoptosis in E2F-1-deficient T cells. Thus, E2F-1 integrates cell cycle progression with apoptosis.

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 score0.002
Threshold uncertainty score0.006

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.012
GPT teacher head0.237
Teacher spread0.225 · 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

Citations29
Published2004
Admission routes1
Has abstractyes

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