Efficient Transfection of Endothelial Cells by a Double-Pulse Electroporation Method
Bibliographic record
Abstract
Primary endothelial cells are largely recognized as hard-to-transfect cells. We have been using a double-pulse electroporation technique to efficiently insert genetic material into human umbilical vein endothelial cell (HUVEC). Previously, this technique has been successfully used on hard-to-transfect monocytic cells. Using a conventional electroporation device, we have tested this protocol on HUVECs and compared it with conventional transfection techniques. The average transfection efficiency was up to 68% as measured by the ability of the cells to efficiently express the red fluorophore of the tdTomato gene. Similar results were obtained in human aortic endothelial cells and human microvascular endothelial cells. This technique does not require any particular expensive device, specific medium, or reagent, and the results we obtained so far exceed those of any other previous protocol. This is therefore an affordable and efficient transfection technique that opens new avenues in vascular endothelial research.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".