Co-purification of the GroEL chaperone during outer membrane vesicle purification: insights from Aeromonas salmonicida subsp. salmonicida
Bibliographic record
Abstract
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.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".