Circular permutated red fluorescent proteins and calcium ion indicators based on mCherry
Bibliographic record
Abstract
Red fluorescent indicators for calcium ion (Ca(2+)) are preferable, relative to blue-shifted alternatives, for biological imaging applications due to the lower phototoxicity, lower autofluorescent background and deeper tissue penetration associated with longer wavelength light. Accordingly, we undertook the development of a genetically encoded Ca(2+) indicator based on the popular and widely utilized Discosoma-derived red fluorescent protein, mCherry. Starting from a promising but dimly fluorescent circular permutated variant of mCherry, we first engineered a 13-fold brighter variant (cp196V1.2) through directed evolution. This bright cp196V1.2 was then used as the scaffold for creation of eight distinct libraries of potential Ca(2+) indicators via permutation at different sites within the 7th and 10th β-strands, and fusion of calmodulin and M13 to the new termini. Screening of these libraries led to the conclusion that, consistent with previous investigations of homologous fluorescent proteins, the 146-145 site in β-strand 7 is the most promising permutation site for construction of useful Ca(2+) indicators. Further rounds of directed evolution ultimately led to an indicator that exhibits a 250% change in intrinsic brightness in response to Ca(2+) and an exceptionally high affinity (Kd = 6 nM) for Ca(2+).
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".