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Record W2243618291

TOOLS FOR IDENTIFYING FUNCTIONS OF TYPE III SECRETION SYSTEM EFFECTORS FROM SHIGELLA FLEXNERI

2013· article· en· W2243618291 on OpenAlexvenueno aff
Saima Sidik

Bibliographic record

VenueLibrary and Archives Canada (Government of Canada) · 2013
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicRemote Sensing and Land Use
Canadian institutionsnot available
Fundersnot available
KeywordsShigella flexneriType three secretion systemEffectorSecretionShigellaType (biology)Computer scienceMicrobiologyBiologyEscherichia coliBacteriaImmunologyGeneticsSalmonellaGeneVirulenceBiochemistryEcology
DOInot available

Abstract

fetched live from OpenAlex

Shigellae are pathogenic bacteria that cause the disease shigellosis. Two methods for studying secreted effectors encoded by this pathogen’s virulence plasmid are described.\nFirst, protein microarrays were used to identify substrates of an E3 ubiquitin ligase called IpaH7.8. Second, a deletion collection containing mutants for every gene on the virulence plasmid was used in two screens: one to identify mutants that elicit atypical levels of Interleukin-8 (IL-8) from U937 cells, and one to identify mutants that bind the dye Congo red abnormally. \nAlthough protein microarrays were an ineffective tool, the deletion collection proved valuable. Most mutants were less effective at sequestering Congo red than wild-type S. flexneri, although this ability was enhanced in several mutants. Four mutants, ?ospB, ?orf186, ?mxiH and ?mxiK, elicited higher levels of IL-8 from U937 cells than wild type S. flexneri. These results validate the use of the deletion collection as a tool for studying bacterial pathogenesis.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.352
Threshold uncertainty score0.957

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 head0.008
GPT teacher head0.148
Teacher spread0.140 · 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 designObservational
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
Published2013
Admission routes1
Has abstractyes

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