Identification of Sites Within a Monomeric Red Fluorescent Protein that Tolerate Peptide Insertion and Testing of Corresponding Circular Permutations
Bibliographic record
Abstract
In recent years the class of known fluorescent proteins (FPs) has dramatically expanded as an ever-increasing numbers of variants and homologs of the green fluorescent protein (GFP) from Aequorea jellyfish have been either engineered in the lab or discovered in other marine organisms. The red fluorescent protein (RFP) from Discosoma coral (also known as dsFP583 and DsRed) has proven to be a particularly fruitful progenitor of variants with biochemical and spectroscopic properties conducive to applications in live cell imaging. We have investigated the tolerance of an engineered monomeric descendent of Discosoma RFP, known as mCherry, towards peptide insertion and circular permutation. Starting from a random library of insertion variants, we identified six genetically distinct sites localized in three different loops where a sequence of five residues could be inserted without abolishing the ability of the protein to form its intrinsic red fluorescent chromophore. For each of these insertion variants, a corresponding circular permutation variant was created in which the original N- and C-termini were connected by a six-residue linker and new termini were introduced at the site of the insertion. All six circular permutation variants had significantly diminished brightness relative to the analogous insertion variants. The most promising circular permutation variant has termini at the position corresponding to residue 184 of mCherry and retains 37% of the intrinsic fluorescent brightness of mCherry. These circularly permuted variants may serve as the foundation for construction of genetically encoded Ca2+ sensors analogous to the previously reported camgaroo, pericam and G-CaMP sensors based on variants of Aequorea GFP.
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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 | 0.000 |
| 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 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".