Efficient, Low-Cost Nucleofection of Passaged Chondrocytes
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Nucleofection of chondrocytes has been shown to be an adequate method of transfection. Using Amaxa's nucleofection system, transfection efficiencies up to 89% were achievable for vector (pmaxGFP) and 98% for siRNA (siGLO) into passaged chondrocytes. However, such methods rely on costly commercial kits with proprietary reagents limiting its use in basic science labs and in clinical translation. Bovine-passaged chondrocytes were plated in serum reduced media conditionsand then nucleofected using various in laboratory-produced buffers. Cell attachment, confluency, viability, and transfection efficiency was assessed following nucleofection. For each parameter the buffers were scored and a final rank for each buffer was determined. Buffer denoted as 1M resulted in no significant difference for cell attachment, confluency, and viability as compared to non-nucleofected controls. Nucleofection in 1M buffer, in the absence of DNA vectors, resulted in increased col2, ki67, ccnd1 mRNA levels, and decreased col1 mRNA levels at 4 days of culture. Flow cytometry revealed that the transfection efficiency of 1M buffer was comparable to that obtained using the Amaxa commercial kit. siRNA designed against lamin A/C resulted in an average reduction of lamin A and C proteins to 19% and 8% of control levels, respectively. This study identifies a cost-effective, efficient method of nonviral nucleofection of bovine-passaged chondrocytes using known buffer formulations. Human-passaged chondrocytes could also be successfully nucleofected in 1M buffer. Thus this method should facilitate cost-efficient gene targeting of cells used for articular cartilage repair in a research setting.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it