Use of Flow Cytometry to Rapidly Optimize the Transfection of Animal Cells
Bibliographic record
Abstract
Plasmid transfection is the first step in the generation of stably transformed animal cells and is also a useful tool for analyzing transient gene expression. Maximizing the transfection efficiency and expression level from the introduced plasmid is critical to the success of these processes. By means of lipid-mediated transfection, a plasmid vector expressing the green fluorescence reporter protein has been coupled with flow cytometry to conveniently investigate those parameters that impact the efficacy of transfection of lepidopteran insect cells. The key feature of this technique is the rapid and simultaneous quantification of transfection efficiency and heterologous protein expression level per cell. Using this technique, we developed an optimized transfection protocol for insect cells by investigating the following parameters: lipid incubation time, lipid/DNA mixture incubation time, lipid and DNA concentration, incubation vessel and transfection duration. Following optimization, transfection efficiencies of 37%-40% were obtained for Bombyx mori Bm5 and Spodoptera frugiperda Sf-21 cells.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".