MétaCan
Menu
Back to cohort
Record W4414075104 · doi:10.1111/apha.70104

Poster Session C

2025· article· en· W4414075104 on OpenAlexfundno aff

Bibliographic record

VenueActa Physiologica · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune cells in cancer
Canadian institutionsnot available
FundersBerlin Institute of HealthUniversitätsklinikum Hamburg-EppendorfSyddansk UniversitetDeutsches Zentrum für LungenforschungHumboldt-Universität zu BerlinMassachusetts General HospitalNovo NordiskTechnische Universität DresdenAarhus UniversitetDeutsches Zentrum für Herz-KreislaufforschungUniversität zu KölnFreie Universität BerlinAarhus UniversitetshospitalUniversity of Toronto
KeywordsSecretionMacrophage polarizationMacrophageExtracellularInfiltration (HVAC)Cancer cellTumor microenvironmentCytokineCell

Abstract

fetched live from OpenAlex

cultivated in Matrigel to establish an organoid model and subsequently grown on filter inserts, enabling functional assessment in Ussing chamber experiments.In controls, claudin-10 was strongly expressed in acinar canaliculi but absent from ductal TJs, whereas C10b iKOs lacked claudin-10b expression in salivary glands.Saliva volume was decreased (176±31 µl vs 76±6 µl, p<0.05),Na + (77±5 mM vs 125±5 mM, p<0.01) and Cl -(102±3 mM vs 123±3 mM, p<0.01) concentrations increased, K + concentration (30±1 mM vs 39±1 mM, p<0.01) decreased in three control vs three induced animals (mean ± SEM, Student's t-test).Organoids expressed Cldn10b, transepithelial resistance ranged from 60 to 700 Ω•cm 2 and carbachol elicited transient currents, indicating active Cl -secretion. ConclusionsOur data demonstrate the functional relevance of our models for dissecting the role of claudin-10b in the salivary secretion pathway.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.229
Threshold uncertainty score0.327

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.7710.529

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 head0.258
Teacher spread0.248 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueActa PhysiologicaSame topicImmune cells in cancerFrench-language works237,207