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Record W7133005886

The Role of NOD1 in the Control of the Non-canonical Inflammasome

2019· dissertation· W7133005886 on OpenAlexaff
Christian Krustev

Bibliographic record

VenueTSpace · 2019
Typedissertation
Language
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammasome and immune disorders
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsInflammasomePyroptosisInnate immune systemNOD1IntracellularImmune systemAIM2Caspase 1Programmed cell death
DOInot available

Abstract

fetched live from OpenAlex

During infection, one of the cell’s defense mechanisms is to activate the inflammasome. Activation results in a form of cell death called pyroptosis and in the release of pro-inflammatory cytokines. Although normally a protective mechanism that aids in the clearance of intracellular pathogens, widespread and constitutive activation has been implicated in several inflammatory disorders. There exists an inflammasome independent of caspase-1 known as the non-canonical inflammasome. Although this inflammasome has been well studied in murine macrophages, how it functions in cell types other than immune cells is poorly understood. We found that NOD1 is required for proper activation of the non-canonical inflammasome in the human intestinal epithelial cell line HCT116. Interestingly, NOD1’s role did not translate to murine macrophages suggesting that it’s role may be unique to epithelial cells. Our research reveals a novel form of inflammasome activation unique to epithelial cells that could provide insight into gut innate immunity.

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 score0.007

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 communication0.0010.001
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 head0.003
GPT teacher head0.252
Teacher spread0.249 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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