Genetically Encoded Glutamate Indicators with Altered Color and Topology
Bibliographic record
Abstract
Glutamate is one of the 20 common amino acids and of utmost importance for chemically mediated synaptic transmission in nervous systems. To expand the color palette of genetically encoded indicators for glutamate, we used protein engineering to develop a red intensity-based glutamate-sensing fluorescent reporter (R-iGluSnFR1). Manipulating the topology of R-iGluSnFR1, and a previously reported green fluorescent indicator, led to the development of noncircularly permutated (ncp) variants. R- and R ncp -iGluSnFR1 display glutamate affinities of 11 μM and 0.9 μM, respectively. We demonstrate that these glutamate indicators are functional when targeted to the surface of HEK-293 cells. Furthermore, we show that G ncp -iGluSnFR enabled reliable visualization of extrasynaptic glutamate in organotypic hippocampal slice cultures, while R-iGluSnFR can reliably resolve action potential-evoked glutamate transients by electrical field stimuli in cultures of dissociated hippocampal 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) | 0.000 | 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 | 0.000 |
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".