Biomimetic artificial cells to model the effect of membrane asymmetry on chemoresistance
Bibliographic record
Abstract
We present a microfluidic platform that enables the formation of bespoke asymmetric droplet interface bilayers (DIBs) as artificial cell models from naturally-derived lipids. We use them to perform pharmacokinetic assays to quantify how lipid asymmetry affects the permeability of the chemotherapy drug doxorubicin. Previous attempts to model bilayer asymmetry with DIBs have relied on the use of synthetic lipids to achieve asymmetry. Use of natural lipids serves to increase the biomimetic nature of these artificial cells, showcasing the next step towards forming a true artificial cell membrane in vitro. Here we use our microfluidic platform to form biomimetic, asymmetric and symmetric DIBs, with their asymmetry quantified through their life-mimicking degree of curvature. We subsequently examine permeability of these membranes to doxorubicin, and reveal measurable differences in its pharmacokinetics induced by membrane asymmetry, highlighting another factor that potentially contributes to chemoresistance in some forms of cancer.
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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 | 0.000 |
| 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".