Additional file 1 of Vibropolyfection: coupling polymer-mediated gene delivery to mechanical stimulation to enhance transfection of adherent cells
Bibliographic record
Abstract
Additional file 1: Figure S1. Effect of vibrational loading on the viability and morphology of HeLa and MG-63 cells, and bAPCs. Table S1. Evaluation of bleb size in vibrational-loaded cells. Figure S2. Effect of the cell stimulation on the transfection efficiency and cytotoxicity of lPEI/pGL3 and bPEI/pGL3 complexes. Figure S3. Comparative transfection efficiencies of lPEI/pGL3 and bPEI/pGL3 complexes delivered before mechanical cell stimulation. Figure S4. Effect of vibrational loading on the physicochemical features of polyplexes. Figure S5. Evaluation of the effect of vibrational loading on naked pDNA delivery. Figure S6. Effect of vibrational loading on cell membrane permeability. Figure S7. Effect of the vibrational loading on the cytotoxicity and transfection efficiency of lPEI/pGL3 and bPEI/pGL3 polyplexes on Jurkat cell suspensions. Figure S8. Effect of two endocytosis inhibitors on the viability of polyfected and vibropolyfected L929 cells.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.024 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.911 | 0.279 |
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".