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Characterization and purification of porcine small intestinal mucus receptor for<i>Escherichia coli</i>K88ac fimbrial adhesin

2000· article· en· W2071909895 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

VenueFEMS Immunology & Medical Microbiology · 2000
Typearticle
Languageen
FieldMedicine
TopicMonoclonal and Polyclonal Antibodies Research
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsBacterial adhesinMucusEscherichia coliMucinPronaseBiologyGel electrophoresisBiochemistryFimbriaGlycoproteinReceptorEnterotoxigenic Escherichia coliMicrobiologySodiumSodium dodecyl sulfateTrypsinMolecular biologyChemistryEnzymeEnterotoxin

Abstract

fetched live from OpenAlex

The objectives of this study were to investigate the nature of, and to purify K88ac fimbrial adhesin-specific receptors in the mucus from the small intestine of piglet. Adhesion was studied by incubating (3)H-labeled Escherichia coli with mucus that were treated with or without pronase, proteinase, trypsin or sodium metaperiodate. The results indicated that treatment with either proteolytic enzymes or sodium metaperiodate (to oxidize sugars) significantly reduced E. coli K88ac or K88+MB adhesion to the mucus, suggesting that the K88ac and K88+MB specific receptors in this preparation were, at least in part, glycoprotein in nature. The K88+MB fimbriae specific receptor was purified using affinity chromatography. Sodium dodecyl sulfate-polyacrylamide gel electrophoresis of the purified K88+MB specific receptor together with the above data suggested that the receptor from the mucus of the small intestine of the pig was a 80-kDa glycoprotein.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.641
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.018
GPT teacher head0.268
Teacher spread0.251 · 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