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Record W7071081029

The role of smooth muscle myosin isoforms in a model of innate airway hyperresponsiveness /

2006· dissertation· en· W7071081029 on OpenAlexfundno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2006
Typedissertation
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsnot available
FundersLunds UniversitetMcGill University Health Centre
KeywordsMyosinGene isoformMotilityActinMyosin light-chain kinasePhosphorylationMuscle contractionIn vitro
DOInot available

Abstract

fetched live from OpenAlex

Airway hyperresponsiveness (AHR) is a key feature of asthma, characterized by exaggerated rate and extent of shortening of airway smooth muscle. Two isoforms of the smooth muscle myosin differ by the presence [(+)insert] or absence [(-)insert] of a 7 amino acid insert. The (+)insert exhibits a 2-fold greater ATPase activity and velocity of actin filament propulsion in the in vitro motility assay. The expression of these isoforms and other contractile proteins was quantified in the trachea of the Fisher and Lewis rat model of innate AHR. We found 95% greater mRNA and 45% greater protein expression of the (+)insert isoform in the trachea of the hyperresponsive Fisher animal (p<0.01), but no difference in other contractile proteins. A greater extent of myosin phosphorylation was also observed (55.1+/- d6.4 vs. 41.4+/-d6.1, p<0.01). These results suggest that in addition to greater myosin activation, an increased expression of the (+)insert isoform contribute to AHR.

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 score0.004
Threshold uncertainty score0.013

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)0.0040.001

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 head0.010
GPT teacher head0.240
Teacher spread0.230 · 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
Published2006
Admission routes1
Has abstractyes

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