Assessment of Listeria monocytogenes Surface Proteins Identified from Proteomics Analysis for Use as Diagnostic Biomarkers
Bibliographic record
Abstract
Strains of Listeria monocytogenes are differentiated serologically into at least 13 serotypes and grouped phylogenetically into 4 distinct lineages (I, II, III, and IV). No single monoclonal antibody (MAb) reported to date is capable of binding to the surface of L. monocytogenes strains representing all the serotypes. This study assessed the expression of six surface proteins selected from a previous proteomic study and demonstrated that surface protein LMOf2365_0148 has the greatest potential as a surface biomarker. A panel of 24 MAbs to LMOf2365_0148 were assessed extensively, revealing that one of the MAbs, M3686, reacted to a wide range of L. monocytogenes isolates (lineage I, II, and III isolates) grown under standard enrichment culture conditions and thus led to the conclusion that LMOf2365_0148 is a useful novel surface biomarker for identifying, detecting, and isolating the pathogen from food and environmental samples.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".