MétaCan
Menu
Back to cohort
Record W2124028938 · doi:10.1084/jem.20041924

The BCL2A1 gene as a pre–T cell receptor–induced regulator of thymocyte survival

2005· article· en· W2124028938 on OpenAlexaff
Malay Mandal, Christine Borowski, Teresa Palomero, Adolfo A. Ferrando, Philipp Oberdoerffer, Fanyong Meng, Antonio Ruiz‐Vela, Maria Ciofani, Juan Carlos Zúñiga‐Pflücker, Isabella Screpanti, A. Thomas Look, Stanley J. Korsmeyer, Klaus Rajewsky, Harald von Boehmer, Iannis Aifantis

Bibliographic record

VenueThe Journal of Experimental Medicine · 2005
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune Cell Function and Interaction
Canadian institutionsWomen's College HospitalUniversity of TorontoSunnybrook Health Science Centre
FundersNational Cancer Institute
KeywordsT-cell receptorBiologyGene knockdownCell biologyThymocyteT cellProgenitor cellNegative selectionLeukemiaCancer researchStem cellGeneImmunologyGeneticsImmune system

Abstract

fetched live from OpenAlex

The pre-T cell receptor (TCR) is expressed early during T cell development and imposes a tight selection for differentiating T cell progenitors. Pre-TCR-expressing cells are selected to survive and differentiate further, whereas pre-TCR(-) cells are "negatively" selected to die. The mechanisms of pre-TCR-mediated survival are poorly understood. Here, we describe the induction of the antiapoptotic gene BCL2A1 (A1) as a potential mechanism regulating inhibition of pre-T cell death. We characterize in detail the signaling pathway involved in A1 induction and show that A1 expression can induce pre-T cell survival by inhibiting activation of caspase-3. Moreover, we show that in vitro "knockdown" of A1 expression can compromise survival even in the presence of a functional pre-TCR. Finally, we suggest that pre-TCR-induced A1 overexpression can contribute to T cell leukemia in both mice and humans.

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.276
Teacher spread0.261 · 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

Citations125
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of Experimental MedicineSame topicImmune Cell Function and InteractionFrench-language works237,207