MétaCan
Menu
Back to cohort
Record W2351994173

Effects of oxyR Regulon, the Bacterial Antioxidant Defense on Escherichia coli's Growth and Reproduction

2014· article· en· W2351994173 on OpenAlex
Xi Li

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLife Science Research · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicMicrobial Community Ecology and Physiology
Canadian institutionsScience North
Fundersnot available
KeywordsRegulonMutantEscherichia coliBiologyEndogenyAntioxidantMicrobiologyBacterial growthGeneBiochemistryBacteriaGenetics
DOInot available

Abstract

fetched live from OpenAlex

oxyR regulon was one of the earliest bacterial antioxidant defense system found by researchers. In Escherichia coli, oxyR regulon, including katG, ahpC, ahpF, was employed to cope with antioxidant response by directly scavenging H2O2, peroxide and so on. Although lots of research on the antioxidant have been reported, its effect on bacterial growth and reproduction is still not clear. The results of oxyR, ahpCF, katE/G gene mutant strains of E. coli showed that, due to the lock of ahpCF genes in mutant JI370, its endogenous H2O2 were reduced. The growth of JI370 was promoted. On the contrast, as for the mutant strains JI367 and LC74, the accumulation of endogenous H2O2 were significantly increased; their growth were inhibited. The accumulation of H2O2 was higher with the stronger inhibition. Compared with wild type strains, mutant strain JI370 and LC74 were affected more significantly in the early stage of growth. The results showed that in the endogenous H2O2 scavenging activities of CAT and AHP, AHP played a dominant role. And in the bacterial growth and reproduction, gene ahp was more important than kat.

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.

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)0.005
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.649
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.020
GPT teacher head0.290
Teacher spread0.270 · 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