Construction and Application of Riboswitch-Based Sensors That Detect Metabolites Within Bacterial Cells
Bibliographic record
Abstract
A riboswitch is an RNA element that detects the level of a specific metabolite within the cell and regulates the expression of co-transcribed genes. By fusing a riboswitch to a reporter protein in a carefully designed and tested construct, this ability can be exploited to create an intracellular sensor that detects the level of a particular small molecule within live bacterial cells. There is a great deal of flexibility in the design of such a sensor and factors such as the molecule to be detected and the downstream experiments in which the sensor will be applied should guide the specific blueprint of the final construct. The completed sensor plasmid needs to be rigorously tested with appropriate controls to ensure that its dynamic range, signal strength, sensitivity and specificity are suitable for its intended applications. In this chapter, methods for the design, assessment and use of riboswitch sensors are provided along with those for one example application for which riboswitch sensors are ideally suited.
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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) | 0.000 | 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".