MétaCan
Menu
Back to cohort

Nck proteins are recruited directly to the BCR and regulate PI3K signaling thereby shaping B cell immune responses (P1154)

2013· article· en· W4313379124 on OpenAlexaff
Angelo Castello, Michael Engelke, Johannes Tucholski, Thomas Oellerich, Tony Pawson, Facundo D. Batista

Bibliographic record

VenueThe Journal of Immunology · 2013
Typearticle
Languageen
FieldImmunology and Microbiology
TopicGalectins and Cancer Biology
Canadian institutionsUniversity of Guelph
Fundersnot available
Keywordsbreakpoint cluster regionCell biologySignal transductionBiologyB-cell receptorEffectorImmune systemContext (archaeology)Scaffold proteinPI3K/AKT/mTOR pathwayDownregulation and upregulationReceptorB cellImmunologyAntibodyGenetics

Abstract

fetched live from OpenAlex

Abstract Binding of antigen to the B cell antigen receptor (BCR) triggers the activation of different kinases and the initiation of many signaling pathways required for mounting B-dependent immune responses. Scaffolding proteins, recruited downstream of the BCR, act as signal integrators through the recruitment of multiple signaling effectors. Nck is a family of scaffolding proteins best known for linking phosphotyrosine signals to cytoskeleton regulation but until now uncharacterized in the context of B lymphocytes. In our study, Nck was found to be directly recruited to the Igα tail of the BCR and to be important to regulate immune-receptor signaling. Through the generation of a novel Nck1 and Nck2 B cell conditional KO mouse model, we found these adaptors to be essential for mounting T-independent immune response and differentiate into extrafollicular plasma cells during T-dependent responses. The phenotype reported was shown to be due to defective PI3K signaling and Foxo1 downregulation in response to antigen challenge. Our work therefore provides the first compelling evidence for a critical role of Nck in BCR signaling, which is independent of its cytoskeleton regulation yet essential to mount B cell responses.

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 score0.361
Threshold uncertainty score0.902

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.022
GPT teacher head0.235
Teacher spread0.213 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of ImmunologySame topicGalectins and Cancer BiologyFrench-language works237,207