Glycosylation of an immunoglobulin produced from a murine hybridoma cell line: The effect of culture mode and the anti‐apoptotic gene, <i>bcl‐2</i>
Bibliographic record
Abstract
The impact of bcl-2 over-expression on the glycosylation pattern of an antibody produced by a bcl-2 transfected hybridoma cell line (TB/C3.bcl-2) was investigated in suspension batch, continuous and high cell density culture (Flat hollow fibre, Tecnomouse system). In all culture modes bcl-2 over-expression resulted in higher cell viability. Analysis of the glycans from the IgG of batch cultures showed that >95% of the structures were neutral core fucosylated asialo biantennary oligosaccharides with variable terminal galactosylation (G0f, G1f and G2f) consistent with previous analysis of glycans from the conserved site at Asn-297 of the IgG protein. The galactosylation index (GI) was determined as an indicator of the glycan profile (=(G2 + 0.5* G1)/(G0 + G1 + G2)). GI values in control cultures were comparable to bcl-2 cultures during exponential growth (0.53) but declined toward the end of the culture when there was a loss in cell viability. Low dilution rates in chemostat culture were associated with reduced galactosylation of the IgG glycans in both cell lines. However, at the higher dilution rates the GI for IgG was consistently higher in the TB/C3.bcl-2 cultures. In the hollow fibre bioreactor the galactosylation of the IgG glycans was considerably lower than in suspension batch or continuous cultures with GI values averaging 0.38. Similar low galactosylation values have been found previously for high density cell cultures and these are consistent with the low values obtained when the dissolved oxygen level is maintained at a low value (10%) in controlled suspension cultures of hybridomas.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".