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Serine protease modulation of epithelial barrier function through the tight junction (650.8)

2014· article· en· W1493289537 on OpenAlexafffundabout
Natalie J. Ronaghan, Wallace K. MacNaughton

Bibliographic record

VenueThe FASEB Journal · 2014
Typearticle
Languageen
FieldNeuroscience
TopicBarrier Structure and Function Studies
Canadian institutionsUniversity of Calgary
FundersCanadian Institutes of Health Research
KeywordsOccludinTrypsinTight junctionUssing chamberProteasesCell biologyChemistryWestern blotSerineSerine proteaseBlotProteaseMolecular biologyBiologyPhosphorylationBiochemistryIn vitroEnzyme

Abstract

fetched live from OpenAlex

Inflammatory mediator‐induced disruption of the tight junction may contribute to pathogenesis of IBD through increased intestinal permeability. We have previously found apical addition of the serine proteases trypsin and matriptase to colonic epithelial cell lines increase transepithelial electrical resistance (TER). We aimed to elucidate the role of tight junction (TJ) modulation in this phenomenon. Confluent monolayers of SCBN colonic epithelial cells were mounted on Ussing chambers after being transfected with siRNA against occludin and treated with 45 BAU/mL trypsin. Trypsin‐induced changes in TER and permeability to 4 kDa FITC‐dextran were monitored. siRNA reduced occludin levels by 90% (Western blot) and reduced the trypsin‐induced increase in TER to 29.8 ± 6.0% (n=4 p<0.05) of control response. However, no changes in trafficking of any TJ protein were observed by Triton X‐100 fractionation and Western blotting after trypsin treatment. In a calcium‐switch assay performed in Ussing chambers, trypsin did not induce faster recovery or have an affect on TER until 30 minutes post‐recovery of the monolayer. In conclusion, we have shown that occludin is essential in the serine protease‐mediated increase in TER but this is not through trafficking to the TJ, and that trypsin does not induce the formation of the tight junction. Grant Funding Source : Supported by Canadian Institutes of Health Research

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.120
Threshold uncertainty score0.767

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.024
GPT teacher head0.242
Teacher spread0.218 · 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 teacher head, 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

Citations3
Published2014
Admission routes3
Has abstractyes

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