A novel tool to study bipolar cell responses in glaucoma
Bibliographic record
Abstract
Abstract Purpose: Retinal ganglion cell death has been well studied in glaucoma, however how the calcium (Ca2+) dynamics in living inner retinal neurons alter to ocular hypertensive stress is poorly understood. Here we characterized a novel adeno‐associated virus (AAV) mediated Ca2+ sensor to investigate light‐evoked Ca2+ responses in bipolar cells with two‐photon laser scanning microscopy (TPLSM). Methods: To visualize ON bipolar cell specific Ca2+ expression, we bioinformatically designed a serotype 2 AAV vector carrying GCaMP6f, a Ca2+indicator, under human MiniPromoter: Ple265 (PCP2, 986 bp, AAV.Ple265.GCaMP). The AAV.Ple265.GCaMP6 was administered intravitreal to adult mice (2 μl/eye). Two and 4 weeks later (n = 3 mice/group), eyes were collected, and retinal cross sections (16 μm) were prepared for immunohistochemistry using the following primary antibodies: GFP to visualize GCaMP6f, and bipolar cell‐specific markers PCP2 or PKCa. Furthermore, we monitored real time light‐evoked Ca2+ responses in bipolar cell terminals at 4 weeks after the injection and amplitude (ΔF/F0) was calculated. Results: At 2 weeks after the viral injection, GCaMP6f was clearly visualized in bipolar cells, but its expression was limited to the cell body and dendritic trees. Four weeks post‐injection, GCaMP6f expression was abundantly detected in many bipolar cell bodies, dendrites, axons, and axonal terminals. TPLSM allowed visualization of bipolar cell‐specific GCaMP6f expression in axonal terminals in vivo, and light‐evoked sustained ON‐responses were recorded in terminal microdomains (average intensity = 1.25 ΔF/F0). Conclusions: Our study reveals that the AAV.Ple265.GCaMP is a powerful tool to monitor ON bipolar cell specific light‐evoked Ca2+ responses in bipolar cells, and can be potentially used for studies aimed at understanding the response of these neurons to glaucomatous damage.
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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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".