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Record W2105938248 · doi:10.1002/bit.21161

Effect of heat‐shock proteins for relieving physiological stress and enhancing the production of penicillin acylase in <i>Escherichia coli</i>

2006· article· en· W2105938248 on OpenAlexaff
Ming‐Shen Wu, Kao‐Lu Pan, C. Perry Chou

Bibliographic record

VenueBiotechnology and Bioengineering · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBacterial Genetics and Biotechnology
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsPeriplasmic spaceEscherichia coliChaperone (clinical)Heat shock proteinMutantProtein foldingInclusion bodiesCell biologyBiologyRecombinant DNABiochemistryChemistryGene

Abstract

fetched live from OpenAlex

High-level expression of recombinant penicillin acylase (PAC) using the strong trc promoter system in Escherichia coli is frequently limited by the processing and folding of PAC precursors (proPAC) in the periplasm, resulting in physiological stress and inclusion body formation in this compartment. Periplasmic heat-shock proteins with protease or chaperone activity potentially offer a promise for overcoming this technical hurdle. In this study, the effect of the two genes encoding periplasmic heat-shock proteins, that is degP and fkpA, on pac overexpression was investigated and manipulation of the two genes to enhance the production of recombinant PAC was demonstrated. Both DeltadegP and DeltafkpA mutants showed defective culture performance primarily due to growth arrest. However, pac expression level was not seriously affected by the mutations, indicating that the two proteins were not directly involved in the pathway for periplasmic processing of proPAC. The growth defect caused by the two mutations (i.e., DeltadegP and DeltafkpA) was complemented by either one of the wild-type proteins, implying that the function of the two proteins could partially overlap in cells overexpressing pac. The possible role that the two heat-shock proteins played for suppression of physiological stress caused by pac overexpression is discussed.

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 score0.002
Threshold uncertainty score0.398

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 head0.004
GPT teacher head0.202
Teacher spread0.198 · 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

Citations11
Published2006
Admission routes1
Has abstractyes

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