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Record W4409886495 · doi:10.1099/mic.0.001558

Co-purification of the GroEL chaperone during outer membrane vesicle purification: insights from Aeromonas salmonicida subsp. salmonicida

2025· article· en· W4409886495 on OpenAlexafffund
Maude F. Paquet, Steve J. Charette

Bibliographic record

VenueMicrobiology · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicBacterial Infections and Vaccines
Canadian institutionsUniversité Laval
FundersNatural Sciences and Engineering Research Council of CanadaFonds de recherche du QuébecUniversité Laval
KeywordsGroELAeromonas salmonicidaBacterial outer membraneMicrobiologyBiologyUltracentrifugeLysisChaperoninPeriplasmic spaceGroESBacteriaVesicleBiochemistryMembraneChemistryChromatographyEscherichia coliProtein folding

Abstract

fetched live from OpenAlex

Outer membrane vesicles (OMVs) are naturally produced by Gram-negative bacteria and originate from their outer membrane. They can be extracted using ultracentrifugation or ultrafiltration using concentration columns, followed by purification with a density gradient. However, these methods may co-purify contaminants with similar physical properties. Several studies have identified GroEL, a chaperonin, as a major protein in OMV preparations. Using Aeromonas salmonicida subsp. salmonicida as a model, we detected GroEL by mass spectrometry and observed it in transmission electron microscopy images as separate from OMVs. As a cytoplasmic protein complex, GroEL is more likely a contaminant resulting from bacterial lysis during growth rather than an intrinsic OMV component. The model A. salmonicida subsp. salmonicida proved valuable in reaching this conclusion because it produces high levels of extracellular GroEL and low amounts of OMVs. This study emphasizes the need for caution when interpreting the presence of GroEL in OMV preparations and highlights the importance of rigorous purification methods to ensure OMV purity.

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)0.000
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 score0.140
Threshold uncertainty score0.751

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.010
GPT teacher head0.228
Teacher spread0.219 · 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
Published2025
Admission routes2
Has abstractyes

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