The Systematic Optimization of Square Wave Electroporation for Six Commonly Used Human Cell Lines
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract During cellular electroporation, the formation of transient pores allow for the diffusion of innately impermeable molecules. The diversity of cell and membrane structure results in unique properties with respect to sensitivity to electric fields. The growing use of human cell lines in biomedical research and technology has led to a demand for protocols that can effectively and economically perform electroporation. We electroporated six human cell lines using a fluorescent reporter to investigate the effects of pulse electric field strength, pulse duration, and DNA concentration during electroporation. It was found that the cell lines all responded to electric field strengths within 400-950V/cm with viability decreasing with increasing voltage. It was also observed that the concentration of DNA used directly impacts transfection efficiency and cell viability as well. To better characterize square wave electroporation, we adopted a model where the pulse is described by its energy density (J/L) with respect to the sample buffer volume. It was determined that the key electrical characteristics of electroporation can be generalized with this value to provide a simplified measure of pulse intensity. The resulting analysis was consistent with other models, indicating cell type specific optimal electrical and DNA concentrations.
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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