A Bioluminescent Ca<sup>2+</sup> Indicator Based on a Topological Variant of GCaMP6s
Bibliographic record
Abstract
Abstract Fluorescent genetically encoded calcium ion indicators (GECIs) enable Ca2+ dynamics to be monitored in a diverse array of cell types and tissues. One drawback of green fluorescent GECIs, such as the widely used GCaMP6, is that the blue wavelengths of light used to excite the GECI also activate optogenetic actuators such as channelrhodopsins. Accordingly, it is particularly challenging simultaneously to use both optogenetic actuators and GECIs to both control and image cell signaling. Bioluminescence is an alternative imaging modality that circumvents this problem by avoiding the need for illumination for fluorescence excitation. Here, we report the development of a bioluminescent GECI, designated LUCI‐GECO1, based on efficient bioluminescent resonance energy transfer (BRET) between the NanoLuc luciferase and a topological variant of GCaMP6s. LUCI‐GECO1 is a sensitive ratiometric GECI that retains the highly optimized properties of GCaMP6s, as we demonstrate by imaging of chemically and optogenetically induced Ca2+ concentration changes in cultured cells and neurons.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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".