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Record W2483356109 · doi:10.3934/bioeng.2016.3.319

Overexpression of G6PDH does not affect the behavior of HEK-293 clones stably expressing interferon-α2b

2016· article· en· W2483356109 on OpenAlexafffund
Edwige Arnold, Iness Hammami, Jingkui Chen, Sachin A. Gupte, Yves Durocher

Bibliographic record

VenueAIMS bioengineering · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicViral Infectious Diseases and Gene Expression in Insects
Canadian institutionsNational Research Council CanadaPolytechnique Montréal
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsHEK 293 cellsclone (Java method)Pentose phosphate pathwayTransfectionBiologyRecombinant DNACell culturePhenotypeTiterCell biologyChemistryBiochemistryMetabolismGeneAntibodyGlycolysisGenetics

Abstract

fetched live from OpenAlex

HEK293 cells are gaining in interest for the production of recombinant proteins. However, further understanding and engineering of cell metabolism are still needed to improve protein titers. The importance of G6PDH has already been studied regarding redox balance, and a correlation has recently been established between the oxidative pentose phosphate pathway (PPP) and antibody peak production. In this work, HEK293 cells stably expressing interferon-α2b, a parental clone, and a further engineered clone expressing the cytosolic yeast pyruvate-carboxylase (PYC) were transiently transfected to overexpress glucose-6-phosphate dehydrogenase (G6PDH) and increase fluxes through the PPP. The aim of the study was thus to evaluate the effect of overexpressing G6PDH on the “pull” effect brought by the PYC phenotype. Results indicate that the cell metabolism is, however, highly robust, showing a highly regulated PPP damping the potential effects of overexpressing G6PDH. A metabolomic study also clearly demonstrates, by metabolites profiling, that the PYC clone has a highly robust and more efficient metabolic efficiency, compared to its parental clone.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.004
Threshold uncertainty score0.391

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.009
GPT teacher head0.251
Teacher spread0.241 · 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 teacher head, 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 routes2
Has abstractyes

Explore more

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