Use of Capillary Electrophoresis and Endogenous Fluorescent Substrate To Monitor Intracellular Activation of Protein Kinase A
Bibliographic record
Abstract
Here we demonstrate for the first time the use of an endogenous multiphosphorylatable substrate for monitoring the intracellular activation of kinase with capillary electrophoresis. First, we devised a novel PCR-based strategy for controlled generation of short multirepeat DNA sequences and applied this method to generate a green fluorescence protein (GFP)-tagged protein substrate containing eight phosphorylation sites for protein kinase A (PKA). The protein substrate was transiently expressed in C2C12 rat myoblast cells, and intracellular PKA was then activated by adding [8]-bromo-cyclic AMP to the cell culture medium. Phosphorylated product and nonphosphorylated substrate present in the crude cell extract were separated by capillary zone electrophoresis and detected with laser-induced fluorescence of the GFP tag. The identities of two electrophoretic peaks were confirmed by both phosphorylation of the substrate and dephosphorylation of the product in vitro. The proposed method was applied to monitoring the activation of PKA in single myoblast cells. It advantageously allowed us to avoid microinjection of the substrate, the procedure that is both hard to perform and excessively invasive when applied to small mammalian cells.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".