A Fluorescence-Based High-Throughput Screening Assay for the Identification of T-Type Calcium Channel Blockers
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Bibliographic record
Abstract
T-type voltage-gated Ca(2+) channels have been implicated in contributing to a broad variety of human disorders, including pain, epilepsy, sleep disturbances, cardiac arrhythmias, and certain types of cancer. However, potent and selective T-type Ca(2+) channel modulators are not yet available for clinical use. This may in part be due to their unique biophysical properties that have delayed the development of high-throughput screening (HTS) assays for identifying blockers. One notable challenge is that at the normal resting membrane potential (V(m)) of cell lines commonly utilized for drug screening purposes, T-type Ca(2+) channels are largely inactivated and thus cannot be supported by typical formats of functional HTS assays to both evoke and quantify the Ca(2+) channel signal. Here we describe a simple method that can successfully support a fluorescence-based functional assay for compounds that modulate T-type Ca(2+)channels. The assay functions by exploiting the pore-forming properties of gramicidin to control the cellular V(m) in advance of T-type Ca(2+) channel activation. Using selected ionic conditions in the presence of gramicidin, T-type Ca(2+) channels are converted from the unavailable, inactivated state to the available, resting state, where they can be subsequently activated by application of extracellular K(+). The fidelity of the assay has been pharmacologically characterized with sample T-type Ca(2+) channel blockers whose potency has been determined by conventional manual patch-clamp techniques. This method has the potential for applications in high-throughput fluorometric imaging plate reader (FLIPR(R), Molecular Devices, Sunnyvale, CA) formats with cell lines expressing either recombinant or endogenous T-type Ca(2+) channels.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.000 |
| 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 it