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Record W2173165754 · doi:10.1093/femsyr/fov070

Improving heterologous protein secretion at aerobic conditions by activating hypoxia-induced genes in<i>Saccharomyces cerevisiae</i>

2015· article· en· W2173165754 on OpenAlexfundno aff
Lifang Liu, Yiming Zhang, Zihe Liu, Dina Petranović, Jens Nielsen

Bibliographic record

VenueFEMS Yeast Research · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEndoplasmic Reticulum Stress and Disease
Canadian institutionsnot available
FundersFondation ChalmersNovo Nordisk Fonden
KeywordsBiologySaccharomyces cerevisiaeYeastHeterologousRecombinant DNABiochemistryHeterologous expressionGeneRegulator

Abstract

fetched live from OpenAlex

Oxygen is important for normal aerobic metabolism, as well as for protein production where it is needed for oxidative protein folding. However, several studies have reported that anaerobic conditions seem to be more favorable in terms of recombinant protein production. We were interested in increasing recombinant protein production under aerobic conditions so we focused on Rox1p regulation. Rox1p is a transcriptional regulator, which in oxidative conditions represses genes induced in hypoxia. We deleted ROX1 and studied the effects on the production of recombinant proteins in Saccharomyces cerevisiae. Intriguingly, we found a 100% increase in the recombinant fungal α-amylase yield, as well as productivity. Varied levels of improvements were also observed for the productions of the human insulin precursor and the yeast endogenous enzyme invertase. Based on the genome-wide transcriptional response, we specifically focused on the effect of UPC2 upregulation on protein production and suggested a possible mechanistic explanation.

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)0.001
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 score0.003
Threshold uncertainty score0.673

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.043
GPT teacher head0.323
Teacher spread0.280 · 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

Citations21
Published2015
Admission routes1
Has abstractyes

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