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Record W2089679099 · doi:10.4236/fns.2012.310178

Induction of DnaK upon <i>γ</i>-Irradiation at High and Low Rates in <i>Escherichia coli</i>

2012· article· en· W2089679099 on OpenAlexafffund
Linda Saucier, Claudine Dubé, Anthony Guernec, Fadia Naim

Bibliographic record

VenueFood and Nutrition Sciences · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRadiation Effects and Dosimetry
Canadian institutionsInstitut de Technologie AgroalimentaireUniversité LavalCTT Group (Canada)Agriculture and Agri-Food Canada
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsEscherichia coliChemistryBiochemistryBiologyGene

Abstract

fetched live from OpenAlex

DnaK is implicated in protein folding, repair and degradation. Its protective role during heat shock is well documented and many other stresses can also induce its production. Using a competitive ELISA, intracellular DnaK concentrations were determined in Escherichia coli ATCC 25922 exposed to a γ-irradiation dose of 0.3 KGy applied either at high (8 × 10-2 KGy/min) or low rates (3 × 10-3 KGy/min) and with or without a recuperation period of 22 h at 37℃ post-treatment. All four irradiation treatments reduced cell counts similarly and significantly compared to the control (P < 0.0001). However, the highest DnaK concentration was observed in cells irradiated at low rate without recuperation (105,416 molecules/cell; P = 0.0001). Furthermore, DnaK levels remained higher than the control (38,500 molecules/ cell) after the recuperation period (P < 0.05). Variation in the intracellular DnaK concentration indicates that the bacterial stress response was modulated differently according to the irradiation treatment (P = 0.0001).

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)0.000
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.035
GPT teacher head0.261
Teacher spread0.225 · 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

Citations1
Published2012
Admission routes2
Has abstractyes

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