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Porcine milk fat globule membrane proteins that bind to F4ac fimbria of Escherichia coli

2012· article· en· W3175258892 on OpenAlexaffabout
Predrag Novakovic, Yanyun Huang, Chandrashekhar Charavaryamath, Betty Lockerbie, John Kelly, Matthew E. Loewen, Elemir Simko

Bibliographic record

VenueThe FASEB Journal · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein purification and stability
Canadian institutionsInstitute for Biological SciencesUniversity of SaskatchewanNational Research Council CanadaWestern University
Fundersnot available
KeywordsEnterotoxigenic Escherichia coliBiologyFimbriaBiochemistryEscherichia coliMicrobiologyEnterotoxin

Abstract

fetched live from OpenAlex

Post‐weaning colibacillosis in pigs is caused by enterotoxigenic Escherichia coli (ETEC) which is often controlled by antibiotic feed supplements with potential risk of generation of antibiotic resistant bacteria. Prevention of attachment of F4ac+ ETEC to intestinal mucosa may potentially be used as one of antibiotic‐free strategies for the control of this disease. F4ac+ ETEC has been reported to bind to fat globule membrane in porcine milk. In this study, we used two different methods to identify individual milk fat globule membrane (MFGM) proteins that interact with F4ac fimbria. First, two‐dimensional SDS‐PAGE overlay Western Blot was used to demonstrate the interaction between F4ac and several MFGM proteins: namely, lactadherin, butyrophilin, adipophilin, acyl‐CoA synthetase 3, and fatty acid binding protein 3. Subsequently, affinity chromatography was designed to isolate the following F4ac‐binding proteins from the porcine MFGM: lactadherin, butyrophilin, adipophilin, acyl‐CoA synthetase 3, fatty acid binding protein 3, and xanthine dehydrogenase. Selected individual proteins and their subunits (e.g. carbohydrates) are being tested for their inhibitory effects against attachment of ETEC to porcine enterocytes. This project was supported by the Saskatchewan Agriculture Development Fund, WCVM Canadian Vitamins Class Action Settlement Fund.

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 score0.024
Threshold uncertainty score0.334

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 studies0.0000.000
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 head0.021
GPT teacher head0.257
Teacher spread0.236 · 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

Citations0
Published2012
Admission routes2
Has abstractyes

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