A GFP‐based screen for growth‐arrested, recombinant protein‐producing cells
Bibliographic record
Abstract
The growth of anchorage-dependent Chinese hamster ovary (CHO) cells is arrested upon serum deprivation; however, a portion of these cells remain viable for extended time periods in serum-free culture. This work presents a strategy to both rapidly generate a heterogeneous population of CHO cells as well as to select for subpopulations that remain robust and continue to produce recombinant protein when their growth is arrested. Stable expression of recombinant proteins in mammalian cells is often a tedious and time-consuming process because only a small percentage of transfected cells will express sufficient quantities of protein. To overcome the limitations associated with standard transformation and selection methods, bicistronic retroviral expression technology was used. First, bicistronic retroviral constructs encoding for both interferon gamma (IFN-gamma), the model therapeutic protein, and green fluorescent protein (GFP), the quantitative selectable marker, were generated. Next, recombinant retroviruses were obtained from transient transfection of a helper-cell line and were used to infect susceptible CHO cells. Cells with the bicistronic expression module stably integrated into their genome fluoresce green and could thereby be easily isolated by fluorescence-activated cell sorting. Upon subjecting successfully infected cells to serum withdrawal, significant declines in cell viability and GFP expression occurred. After imposing this selection pressure on the cells for 8 days, GFP producers were isolated from the survivors by fluorescence-activated cell sorting and expanded. To evaluate the effectiveness of the screening process, the selected cells were exposed to a second round of serum deprivation. Unlike the original cell population from which it was derived, the subpopulation remained robust and continued to stably express both GFP and IFN-gamma throughout the extended period of serum-free culture. Within 2 weeks, cells selected for recombinant protein production under serum-free conditions were successfully generated and isolated.
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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 | 0.000 | 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 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".