Introducing a class of standardized and interchangeable parts utilizing programmed ribosomal frameshifts for synthetic biology applications
Bibliographic record
Abstract
Synthetic biology and the rational design of biological devices depend on the availability of standardized and interchangeable biological parts with diverse range of functions. Reliable access to different reading frames during translation has largely been overlooked as functionality for bioengineering applications. Here we report the construction and initial characterization of the first member of such a class of biological parts that conforms to the BioBrick Standard (RFC25), allowing its interchangeable use in biological devices. Using our standardized frameshifting signal consisting of a UUUAAAG slippery sequence, a 6 nt spacer and an engineered pseudoknot based on the infectious bronchitis virus pseudoknot PK401 embedded in a dual reporter construct, we confirm that the frameshifting activity is comparable to the previously published frequency despite the introduced sequence changes. The frameshifting activity is demonstrated using SDS-PAGE and fluorescence spectroscopy. Standardized programmable ribosomal frameshift parts with specific frameshifting frequencies will be of utility for applications such as double coding DNA sequences by expanding the codable space into the -1 frame. Programmed shifting into the -1 frame to bypass a stop codon allows labeling of a protein pool with a fixed stoichiometry of fusion protein, as well as the construction of multi-enzyme expression constructs with specific expression ratios. A detailed understanding of the structural basis of programmed frameshifting will provide the opportunities to rationally design frameshifting elements with a wide range of applications in synthetic biology, including signals that are regulated by small ligands.
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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) | 0.001 | 0.001 |
| 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 | 0.001 |
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".