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Record W2407212762 · doi:10.1038/mtm.2015.34

Testing gene therapy vectors in human primary nasal epithelial cultures

2015· article· en· W2407212762 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueMolecular Therapy — Methods & Clinical Development · 2015
Typearticle
Languageen
FieldMedicine
TopicCystic Fibrosis Research Advances
Canadian institutionsUniversity of TorontoHospital for Sick Children
FundersCanadian Institutes of Health ResearchHospital for Sick Children
KeywordsCystic fibrosisCystic fibrosis transmembrane conductance regulatorGenetic enhancementTransduction (biophysics)Nasal polypsMedicineMucous membrane of noseChloride channelApical membraneViral vectorImmunologyCancer researchGenePathologyEpitheliumCell biologyBiologyInternal medicineRecombinant DNAGeneticsBiochemistry

Abstract

fetched live from OpenAlex

Cystic fibrosis (CF) results from mutations in the CF transmembrane conductance regulator (CFTR) gene, which codes for a chloride/bicarbonate channel in the apical epithelial membranes. CFTR dysfunction results in a multisystem disease including the development of life limiting lung disease. The possibility of a cure for CF by replacing defective CFTR has led to different approaches for CF gene therapy; all of which ultimately have to be tested in preclinical model systems. Primary human nasal epithelial cultures (HNECs) derived from nasal turbinate brushing were used to test the efficiency of a helper-dependent adenoviral (HD-Ad) vector expressing CFTR. HD-Ad-CFTR transduction resulted in functional expression of CFTR at the apical membrane in nasal epithelial cells obtained from CF patients. These results suggest that HNECs can be used for preclinical testing of gene therapy vectors in CF.

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.

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)0.007
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.905
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.205
GPT teacher head0.516
Teacher spread0.311 · 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