Purification and characterization of phospho<i>enol</i>pyruvate carboxylase from <i>Brassica napus</i> (rapeseed) suspension cell cultures
Bibliographic record
Abstract
Phosphoenolpyruvate carboxylase (PEPC) specific activity increased by 250% following 8 to 10 days of Pi starvation of Brassica napus suspension cells. Densitometric scanning of PEPC immunoblots revealed a close correlation between PEPC activity and the amount of the antigenic 104-kDa PEPC subunit. To further assess the influence of Pi deprivation on PEPC, the enzyme was purified from Pi-sufficient (+Pi) and Pi-starved (-Pi) cells to electrophoretic homogeneity and final specific activities of 37-40 micromol phosphoenolpyruvate utilized per min per mg protein. Gel filtration, SDS/PAGE, and CNBr peptide mapping indicated that the +Pi and -Pi PEPCs are both homotetramers composed of an identical 104-kDa subunit. Respective pH-activity profiles, phosphoenolpyruvate saturation kinetics, and sensitivity to L-malate inhibition were also indistinguishable. Kinetic studies and phosphatase treatments revealed that PEPC of the +Pi and -Pi cells exists mainly in its dephosphorylated (L-malate sensitive) form. Thus, up-regulation of PEPC activity in -Pi cells appears to be solely due to the accumulation of the same PEPC isoform being expressed in +Pi cells. PEPC activity was modulated by several metabolites involved in carbon and nitrogen metabolism. At pH 7.3, marked activation by glucose 6-phosphate and inhibition by L-malate, L-aspartate, L-glutamate, DL-isocitrate, rutin and quercetin was observed. The following paper provides a model for the coordinate regulation of B. napus PEPC and cytosolic pyruvate kinase by allosteric effectors. L-Aspartate and L-glutamate appear to play a crucial role in the control of the phosphoenolpyruvate branchpoint in B. napus, particularly with respect to the integration of carbohydrate partitioning with the generation of carbon skeletons required during nitrogen assimilation.
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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 | 0.001 |
| 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) | 0.001 | 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".