Capillary electrophoresis laser-induced fluorescence investigations of individual molecules of Escherichia coli β-galactosidase
Bibliographic record
Abstract
Single molecule studies of enzymes have revealed that nominally identical individual enzyme molecules are functionally heterogeneous. Different individual molecules exhibit different catalytic rates under identical conditions, and individual enzyme molecules show fluctuating rates over broad timescales. The structural basis and the biological sources for such heterogeneity remains poorly understood. Herein, studies are presented of the β-galactosidase from Escherichia coli, using capillary electrophoresis with laser-induced fluorescence (CE-LIF), to investigate the sources of catalytic heterogeneity at the single molecule level. Limited proteolysis as a possible source for single molecule heterogeneity, and for the changes in activity of a population of individual molecules over time, was investigated by inducing enzyme expression in two E.coli strains in the presence of a broad spectrum of protease inhibitors. The effect of protease inhibitors was found to be limited. β-Galactosidase was expressed from a lacZ linear template from two different E. coli strains using an in vitro protein expression system to determine if in vitro synthesized enzyme was identical to its in vivo counterpart. In vitro synthesized enzyme was found to be less active than in vivo sources. The differences were attributed to deficient N-terminal methionine removal and the higher rates of translation error associated with in vitro protein synthesis. Single molecule separations revealed that individual molecules of β-galactosidase were electrophoretically distinct, and that the electrophoretic heterogeneity was independent of source of enzyme, method of measurement, or of capillary coating. Electrophoretic modeling indicated that slight variation of hydrodynamic radius is the most likely source of electrophoretic mobility heterogeneity. The extent of single molecule catalytic variation was reduced in a mutant with a hyperaccurate translation phenotype implying that translation error is a source of the heterogeneity. Streptomycin-induced translation error reduced average activity, but did not lead to an increase in catalytic heterogeneity. No relationship between translation error and electrophoretic heterogeneity was observed. A novel CE-LIF assay was developed for the continuous monitoring of the catalytic activity and electrophoretic mobility of individual β-galactosidase molecules. Thermally-induced catalytic fluctuations were observed suggesting that individual enzyme molecules were capable of conformational fluctuations that supported different catalytic rates.
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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 | 0.001 |
| 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 | 0.001 |
| 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".