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Record W1986352442 · doi:10.1002/pmic.201200449

Proteomic identification of <i><scp>L</scp>isteria monocytogenes</i> surface‐associated proteins

2013· article· en· W1986352442 on OpenAlexaff
Cathy X.Y. Zhang, Terry D. Cyr, Brian W. Brooks, Hongsheng Huang, Franco Pagotto, Min Lin

Bibliographic record

VenuePROTEOMICS · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicIdentification and Quantification in Food
Canadian institutionsHealth CanadaUniversity of OttawaCanadian Food Inspection Agency
Fundersnot available
KeywordsListeria monocytogenesListeriaTrypsinMicrobiologyBiologyProteomicsLysisSecretionMolecular biologyBacteriaChemistryBiochemistryGeneGenetics

Abstract

fetched live from OpenAlex

This study aimed to identify proteins exposed on the surface of Listeria monocytogenes cells for diagnostic reagent development. Brief trypsin treatment of L. monocytogenes cells followed by peptide separation and identification by nano-LC and online-MS/MS was performed. In parallel, as a negative control, proteins secreted into the digest buffer as well as proteins from cell lysis were identified. One hundred and seventy-four proteins were identified in at least two of three trials in either the negative control or during cell digest. Nineteen surface, 21 extracellularly secreted, 132 cytoplasmic, and two phage proteins were identified. Immunofluorescence microscopy of L. monocytogenes cells revealed the surface localization of two potential candidates for L. monocytogenes isolation and detection: lipoprotein LMOf2365_0546 and PBPD1 (LMOf2365_2742). In this report, we present the first data set of surface-exposed L. monocytogenes proteins currently available. The data have been deposited to the ProteomeXchange Consortium with identifier PXD000035.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.011
Threshold uncertainty score0.921

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.019
GPT teacher head0.250
Teacher spread0.231 · 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

Citations15
Published2013
Admission routes1
Has abstractyes

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