MétaCan
Menu
Back to cohort
Record W2087769006 · doi:10.1006/cbir.2000.0562

RECOMBINANT HUMAN INTERLEUKIN‐8, BUT NOT HUMAN INTERLEUKIN‐1β, INDUCES BOVINE NEUTROPHIL MIGRATION IN AN <i>IN VITRO</i> CO‐CULTURE SYSTEM

2000· article· en· W2087769006 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.

Bibliographic record

VenueCell Biology International · 2000
Typearticle
Languageen
FieldMedicine
TopicCell Adhesion Molecules Research
Canadian institutionsMcGill University
Fundersnot available
KeywordsRecombinant DNAIn vitroCell cultureFetal bovine serumEpitheliumMolecular biologyBiologyInterleukin 8Neutrophil extracellular trapsInterleukinImmunologyChemistryCytokineInflammationBiochemistry

Abstract

fetched live from OpenAlex

A co-culture system was established by culturing a bovine mammary epithelial cell line (MAC-T) and a bovine aortic endothelial cell line on calf tail collagen pre-coated inserts. This system allowed us to study bovine neutrophil migration across endothelium, extracellular matrix (ECM), and epithelium in the correct sequence and direction in vitro. The effect of recombinant interleukin-1beta (rHIL-1beta) and interleukin-8 (rHIL-8) on bovine neutrophil migration was investigated using this system. rHIL-8 stimulated bovine neutrophil migration in a dose-dependent fashion. The level of migrating bovine neutrophils increased up to approximately 25% when 100 ng/ml of rHIL-8 was used. On the other hand, rHIL-1beta at concentrations up to 100 ng/ml did not directly induce bovine neutrophil migration. Furthermore, pre-incubation with 5 ng/ml of rHIL-1beta in the co-culture system for 4 or 24 h failed to have any effect. These results suggest that IL-8 plays an important role in neutrophil migration into bovine mammary glands during mastitis.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.036
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.024
GPT teacher head0.324
Teacher spread0.300 · 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