Preservation of the 3D Phenotype Upon Dispersal of Cultured Cell Spheroids Into Monolayer Cultures
Bibliographic record
Abstract
In functional cytometric studies, cultured cells are exposed to effectors (e.g., drugs), and the heterogeneity of cell responses are studied using cytometry techniques (e.g., image cytometry). Such studies are difficult to perform on 3D cell cultures. A solution is to disperse 3D clusters and transfer the cells to the 2D state before applying effectors and using cytometry. This approach requires that the lifetime of the 3D phenotype be longer than the duration of the experiment. Here we studied the dynamics of phenotype transformation from 3D to 2D and searched for means of slowing this transformation down in dispersed spheroids of MCF7 cells. We found three functional biomarkers of the 3D phenotype in MCF7 cell spheroids that are absent in the 2D cell culture: (i) the presence of a subpopulation with an elevated drug-expelling capacity; (ii) the presence of a subpopulation with an elevated cytoprotective capacity; and (iii) the accumulation of cells in the G1 phase of the cell cycle. Monitoring these biomarkers in cells transferred from the 3D state to the 2D state revealed their gradual extinction. We found that the combined application of an elevated cell density and thiol-containing medium supplements increased the lifetime of the 3D phenotype by several fold to as long as 96 h. Our results suggest that extending the lifetime of the 3D phenotype in the cells transferred from the 3D state to the 2D state can facilitate detailed functional cytometric studies, such as measurements of population heterogeneity of cytotoxicity, chemosensitivity, and radiosensitivity. J. Cell. Biochem. 118: 154-162, 2017. © 2016 Wiley Periodicals, Inc.
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How this classification was reachedexpand
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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".