Electroporation Measurements in Engineered Membranes
Bibliographic record
Abstract
Introduction The electroporation measurement platform (EMP) discussed in Chapters 4 and 6 is a synthetic biological device built out of artificial membranes to study electroporation in a controlled environment. In this chapter we apply the continuum models for electroporation developed in Chapter 11 to predict and interpret the response of the EMP device. Specifically we evaluate how accurately the continuum models predict the response of the EMP to membranes containing different tether densities, lipid types, and sterols and excited using different waveforms. Thus, this chapter (which validates electroporation models with experimental data in precisely controlled environments) together with the previous chapter (which formulates continuum models) gives a complete treatment of electroporation at the mesoscopic level. Before proceeding, the reader should recall that electroporation is the process of aqueous pore formation resulting from changes in the transmembrane potential. A schematic of the electroporation process is given in Figure 12.1. To ensure only the process of electroporation is present, the following test is performed for all experiments involving the electroporation measurement platform (see Chapter 6 for details of such experiments). An excitation potential V s is applied and the resulting current is recorded; then the negative potential − V s is applied and the resulting current recorded. If the current response resulting from V s is related to the current response of − V s by a sign change then we can conclude that only the process of electroporation is present. This conclusion follows from the dynamic model of engineered membranes given by Figure 11.4 and (11.17). Recall that the process of electroporation is transmembrane potential symmetric; that is, the polarity or sign of the applied transmembrane potential does not change the dynamics the electroporation process. All experimental measurements reported below satisfied this test. Organization of Chapter Given the mesoscopic models in Chapter 11, in this chapter we evaluate important parameters of the engineered membrane using both in silico and in vitro techniques. More importantly, we give significant insight into the process of electroporation by discussing several aspects. Figure 12.2 illustrates the aspects of electroporation that we discuss, which comprises three topics. The first is the aqueous pore conductance and dynamics (number and size of aqueous pores).
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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 | 0.001 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".