Protein film formation on cell culture surfaces investigated by quartz crystal microbalance with dissipation monitoring and atomic force microscopy
Bibliographic record
Abstract
Conventional cell culture surfaces typically consist of polystyrene, with or without surface modifications created through plasma treatment or protein/peptide coating strategies. Other polymers such as fluorinated ethylene propylene are increasingly being implemented in the design of closed cell culture vessels, for example to facilitate the production of cells for cancer immunotherapy. Cultured cells are sensitive to culture vessel material changes through different mechanisms including cell-surface interactions, which are in turn dependent on the amount, type, and conformation of proteins adsorbed on the surface. Here, we investigate the protein deposition from cell culture medium onto untreated polystyrene and fluoropolymer surfaces using quartz crystal microbalance with dissipation monitoring and atomic force microscopy. Both of these non-polar surfaces showed comparable protein deposition kinetics and resulted in similar mechanical and topographical film properties. At protein concentrations found in typical serum-free media used to culture dendritic cells, two deposition phases can be observed. The protein layers form within the first few minutes of contact with the cell culture medium and likely consist almost exclusively of albumin. It is indicated that initial protein film formation will be completed prior to cell settling and initial cell contact will be established with the secondary protein layer. The structural properties of the protein film surface will strongly depend on the albumin concentration in the medium and presumably be less affected by the chemical composition of the cell culture surface.
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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 | 0.001 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".