Immunopurification of H<sup>+</sup>‐ATPase‐containing lipid‐protein particles from the cytosol of carnation petals
Bibliographic record
Abstract
Lipid‐protein particles originating from the plasma membrane were immunopurified from the cytosol of carnation petal cells (Dianthus caryophyllus L. cv. Improved White Sim) using antibodies raised against the central hydrophilic domain of the H+‐ATPase. The immunopurified particles are enriched in lipid metabolites, in particular free fatty acids and steryl/wax esters, by comparison with corresponding microsomal membranes, and the lipids of the particles are more saturated than those of microsomal membranes. Proteolytic catabolites of the H+‐ATPase, a protein associated with the plasma membrane, but not the native H+‐ATPase protein, are also present in the immunopurified cytosolic particles. Osmiophilic particles were discernible in the cytosol of carnation petal cells by transmission electron microscopy, and the association of H+‐ATPase catabolites with a subpopulation of these particles was confirmed by immunogold labelling with H+‐ATPase antiserum. Cross‐reaction of the H+‐ATPase antiserum with elements of the cytosol was also evident by immunofluorescent light microscopy. These observations collectively indicate that lipid‐protein particles of plasma membrane origin are present in the cytosol of carnation petal cells and that their formation may serve as a means of removing lipid and protein metabolites from the plasma membrane which would otherwise destabilize its structure.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".