The fate of Pluronic F‐68 in chondrocytes and CHO cells
Bibliographic record
Abstract
The surfactant Pluronic F-68 (PF-68) is widely used in large-scale mammalian cell culture to protect cells from shear stress that arises from agitation and gas sparging. Several studies suggested that PF-68 is incorporated into the cell plasma membrane and could enter the cells, but without providing any direct evidence. The current study has examined this question for two cell types, one of pharmaceutical interest (CHO cells) and the other of biomedical interest (chondrocytes or cartilage cells). A fluorescent derivative of PF-68 was synthesized to detect and localize internalized Pluronic with culture time. PF-68 uptake by the cells was quantified and characterized. We clearly demonstrate that PF-68 enters the cells, and possibly accumulates in the endocytic pathway. CHO cells showed an average uptake of 11.7 +/- 6.7 (SEM) microg PF-68/10(6) cells while the uptake of chondrocytes was 56.0 +/- 10.9 (SEM) microg PF-68/10(6) cells, independently of the initial PF-68 concentration (between 0.01 and 0.2%, w/v) and of cell concentration (from 1 x 10(6) to 4 x 10(6) cells/mL). These uptake values were identical for both static and agitated culture conditions. Finally, we found that CHO cells are able to eliminate intracellular fluorescent PF-68 but chondrocytes are not. These results show that the uptake of PF-68 by the cells can severely affect PF-68 concentration in the culture medium and thus shear protection effect.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".