CHO cells adapted to hypothermic growth produce high yields of recombinant β‐interferon
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
Mild hypothermic conditions (30-33 degrees C) have previously been shown to increase cell-specific productivity (Q(p)) of recombinant proteins from mammalian cells. However, this is often associated with a lower growth rate which off-sets any potential advantage of higher product titers. We report the isolation of a population of Chinese Hamster Ovary (CHO) cells that have been adapted to low-temperature growth by continuous subculture at low temperature for up to 300 days. This adapted cell population achieved a growth rate twofold greater than nonadapted cells under low-temperature conditions (32 degrees C) while maintaining an elevated level of cell-specific expression of recombinant beta-interferon. The volumetric titer of beta-interferon was enhanced by 70% in stationary cultures and by more than twofold by application of a temperature-shift strategy involving a growth to production phase. However, the low-temperature-adapted cells were fragile and demonstrated an increased sensitivity to hydrodynamic stress in agitated cultures. This problem was resolved by the use of macroporous microcarriers which protected the cells and allowed growth of high-density cultures under hypothermic conditions. This eventually resulted in a threefold enhancement of volumetric titer of monomeric beta-interferon compared to the original control culture at 37 degrees C.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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