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Record W1587113887 · doi:10.1002/eji.201242371

Interaction of <scp>TAPP</scp> adapter proteins with phosphatidylinositol (3,4)‐bisphosphate regulates <scp>B</scp>‐cell activation and autoantibody production

2012· article· en· W1587113887 on OpenAlexafffund
Ivan Landego, Nipun Jayachandran, Stephan Wullschleger, Tingting Zhang, Ian W. Gibson, Angela Miller, Dario R. Alessi, Aaron J. Marshall

Bibliographic record

VenueEuropean Journal of Immunology · 2012
Typearticle
Languageen
FieldMedicine
TopicChronic Lymphocytic Leukemia Research
Canadian institutionsUniversity of Manitoba
FundersCanadian Institutes of Health Research
KeywordsPhosphatidylinositolBiologyMolecular biologyB cellPhosphorylationAutoantibodyAntibodyCell biologyImmunology

Abstract

fetched live from OpenAlex

TAPP1 and TAPP2 (where TAPP is tandem PH domain containing protein) are dual PH domain adaptors that selectively bind PI(3,4)P2 (phosphatidylinositol (3,4)-bisphosphate). PI(3,4)P2 is a lipid messenger generated by phosphoinositide 3-kinase (PI3K) and SHIP, both of which are critical regulators of B-cell activation. To determine the functional role of TAPP-PI(3,4)P2 interactions, we utilized a double knock-in (KI) mouse bearing mutations within the PI-binding pocket of both TAPP1 and TAPP2. TAPP KI mice show evidence of altered B-cell development, but generate phenotypically normal mature B-cell populations. Total serum immunoglobulin IgM and IgG levels were found to be markedly elevated in TAPP KI mice. B cells purified from TAPP KI mice were hyper-responsive to antigen receptor cross-linking, showing increased proliferation, CD86 expression, and Akt phosphorylation on Ser473 and Thr308. Female TAPP KI mice developed elevated levels of anti-DNA and antinuclear antibodies with age, associated with IgG deposition in kidneys and significant glomerulonephritis pathology. Together our results indicate that interaction of TAPPs with PI(3,4)P2 mediates feedback inhibition impacting on BCR signaling, with functional significance for control of autoreactive B 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)0.001
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 score0.076
Threshold uncertainty score0.811

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.015
GPT teacher head0.253
Teacher spread0.238 · 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

Citations40
Published2012
Admission routes2
Has abstractyes

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