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Record W2983186384

Evaluation of Cellular Mechanisms Involved in Recombinant Antibody Expression in Transiently Transfected Chinese Hamster Ovary Cells

2016· dissertation· en· W2983186384 on OpenAlexfundno aff
Elizabeth Masterjohn

Bibliographic record

VenueDigital Access to Scholarship at Harvard (DASH) (Harvard University) · 2016
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicViral Infectious Diseases and Gene Expression in Insects
Canadian institutionsnot available
FundersNational Research Council Canada
KeywordsChinese hamster ovary cellTransfectionRecombinant DNACell biologyOvaryAntibodyMolecular biologyBiologyChemistryCell cultureImmunologyEndocrinologyBiochemistryGeneGenetics
DOInot available

Abstract

fetched live from OpenAlex

Transient recombinant antibody production in Chinese hamster ovary (CHO) cells is often used to screen large panels of candidates for potential therapeutic use. However, a significant proportion of antibodies express at a level too low for adequate in vitro characterization. This study compares the pathways, including the unfolded protein response (UPR), involved in the transient expression of both low and high expressing antibody clones. Twenty historically low expressing antibodies from two different hybridoma campaigns were re-evaluated for antibody productivity using transient co-transfection of heavy and light chain plasmids in CHO 3E7 cells. Five antibodies had significantly improved antibody production while one antibody had moderately improved antibody production when expressed in CHO 3E7 cells compared to their respective historical data. Seven individual antibody chains were affected at the transcriptional level with minimal or no detectable levels of mRNA. These seven chains were used in different combinations for ten of the antibodies screened. For those ten antibodies, the lack of detectable mRNA, determined by Northern blot analysis, correlated with low levels of intracellular and secreted antibody. The low levels of mRNA could potentially be caused by enhanced degradation due to the physical characteristics of these sequences (Cooper, G. M., 2000). One variant had low levels of light chain mRNA but had secreted titers of antibody similar to its corresponding control and was the only antibody that possessed these features. The remaining four variants had adequate levels of mRNA and intracellular antibody, determined by Western blot analysis, but minimal amounts of secreted antibody, potentially implicating UPR induction. Antibodies 5L+19H (low expression) and 5L+6H (high expression) along with mock and untransfected cells were analyzed for UPR gene regulation using the Affimetrix CHO Gene array. Several observations were made. First, the transfection process alone had the most impact on differential gene expression affecting 1146 genes out of 29,700 genes assayed. Second, the UPR related gene CHOP was noted to be upregulated for both antibody transfections compared to mock, and HERPUD1 was shown to be upregulated for the low expressing antibody compared to mock. This suggests UPR induction had begun for both experimental transfections, however, the specific pathway or pathways that have been activated cannot be determined with the limited number of genes that were found to be upregulated. Additionally, when the two experimental transfections were compared to each other we found no significant difference in differential gene expression of UPR related genes. This implies that 72 hours post-transfection, the level of UPR induction was similar for an antibody that has low levels of secretion and one that has high levels of secretion. Finally, four key UPR associated genes were found to be downregulated in mock transfected cells compared to untransfected cells, (CHOP, GADD34, ERDJ4 and XBP1).

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.017
GPT teacher head0.278
Teacher spread0.261 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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Same venueDigital Access to Scholarship at Harvard (DASH) (Harvard University)Same topicViral Infectious Diseases and Gene Expression in InsectsFrench-language works237,207