MétaCan
Menu
Back to cohort

SHIP is a repressor of mast cell hyperplasia, cytokine production, and allergic inflammation <i>in vivo</i> (139.12)

2009· article· en· W4313344741 on OpenAlexaff
D. James Haddon, Frann Antignano, Michael R. Hughes, Marie‐Renée Blanchet, Lori Zbytnuik, Gerald Krystal, Kelly M. McNagny

Bibliographic record

VenueThe Journal of Immunology · 2009
Typearticle
Languageen
FieldImmunology and Microbiology
TopicMast cells and histamine
Canadian institutionsTerry Fox Research InstituteUniversity of British Columbia
Fundersnot available
KeywordsMast cellCytokineInflammationImmunologyInterleukin 33In vivoAllergic inflammationBiologyCell biologyImmune systemInterleukin

Abstract

fetched live from OpenAlex

Abstract Src homology 2-containing inositol 5’-phosphatase (SHIP) inhibits immune receptor signaling through hydrolysis of the phosphatidylinositol-3 kinase (PI3K) product PI-3,4,5-P3, forming PI-3,4-P2. SHIP represses FcεRI- and cytokine-mediated mast cell activation in vitro, but little is known regarding the function of SHIP in mast cells in vivo, or the susceptibility of Ship-/- mice to mast cell-associated diseases. In this study, we found that Ship-/- mice have systemic mast cell hyperplasia, increased serum levels of IL-6, TNF, and IL-5, and heightened anaphylactic response. Further, by reconstituting mast cell-deficient mice with Ship+/+ or Ship-/- mast cells, we found that the above defects were due to loss of SHIP in mast cells. Additionally, we found that loss of SHIP in mast cells alone resulted in increased allergic asthma pathology. In summary, our data show that SHIP represses allergic inflammation and mast cell hyperplasia in vivo, and that SHIP exerts these effects specifically in mast 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 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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

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)0.0030.001

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 head0.008
GPT teacher head0.201
Teacher spread0.193 · 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 designObservational
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
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of ImmunologySame topicMast cells and histamineFrench-language works237,207