Measuring the activity of farnesyltransferase by capillary electrophoresis with laser-induced fluorescence detection.
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Bibliographic record
Abstract
Enzymatic farnesylation of oncogenic forms of Ras proteins is the initial step in a series of posttranslational modifications essential for Ras activity. The modification is catalyzed by the enzyme, protein farnesyltransferase (PFTase), which transfers a farnesyl moiety from farnesyl diphosphate to the protein. We employed capillary electrophoresis (CE) with laser-induced fluorescence (LIF) detection to develop a rapid and sensitive method for the determination of PFTase activity in vitro. The limited substrate specificity of PFTase allowed us to use a fluorescently labeled pentapeptide instead of a Ras protein as a substrate for the enzyme; the product of the enzymatic reaction was the farnesylated pentapeptide. The product was separated from the substrate by CE and quantified with LIF detection. Under optimal conditions, the separation was achieved within 10 min with a resolution of 86. The mass and concentration limits of detection for the farnesylated product were 10(-19) mol and 0.28 nM, respectively. By measuring the rate of accumulation of the farnesylated product, we were able to determine the kinetic parameters of the enzymatic reaction. For yeast PFTase as an enzyme and difluorocarboxyfluorescein-labeled GCVIA peptide as a substrate, the values of k(cat) and K(M) were found to be (3.1 +/- 0.3)x10(-3) s(-1) and (12.0 +/- 1.2) nuM, respectively. Our results suggest that CE-LIF can be efficiently used for the determination of enzymatic activity of PFTase in vitro. After minor modifications, the developed method can be also applied to other reactions of enzymatic prenylation of proteins.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it