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Enteropathogenic Escherichia coli Tir translocation and pedestal formation requires membrane cholesterol in the absence of bundle-forming pili

2005· article· en· W2056821513 on OpenAlexafffund
Emma Allen‐Vercoe, Barbara J. Waddell, Scott Livingstone, Julie P. Deans, Rebekah DeVinney

Bibliographic record

VenueCellular Microbiology · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEscherichia coli research studies
Canadian institutionsHealth Sciences CentreUniversity of Calgary
FundersCanadian Institutes of Health ResearchAlberta Heritage Foundation for Medical ResearchFondation pour la Recherche MédicaleCanadian Association of Gastroenterology
KeywordsPilusBiologyChromosomal translocationPedestalMembraneBundleMicrobiologyEscherichia coliBiophysicsMaterials scienceBiochemistryGene

Abstract

fetched live from OpenAlex

Enteropathogenic Escherichia coli (EPEC) is a significant cause of paediatric diarrhoea worldwide. Virulence requires adherence to intestinal epithelial cells, mediated in part through type IV bundle-forming pili (BFP), and the EPEC protein Tir. Tir is inserted into the enterocyte plasma membrane (PM), resulting in the formation of actin-rich pedestals. Tir is translocated by the type III secretion system (TTSS), through a pore comprised of EPEC proteins inserted into the PM. Here, we demonstrate that in the absence of BFP, EPEC adherence, effector translocation and pedestal formation are dependent on lipid rafts. Lipid raft disruption using methyl-beta-cyclodextrin (MbetaCD) decreased adherence by an EPEC BFP-deficient strain from 85% to 1%. Translocation of the effectors Tir and EspF was blocked by MbetaCD treatment, although the TTSS pore still formed. MbetaCD treatment after Tir delivery decreased pedestal formation by EPEC from 40% to 5%, but not by the related pathogen E. coli O157:H7 which uses a different Tir-based mechanism. In contrast, EPEC expressing the BFP can circumvent the requirement for membrane cholesterol. This suggests that lipid rafts play a role in virulence of this medically important pathogen.

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 score0.007
Threshold uncertainty score0.438

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 head0.012
GPT teacher head0.244
Teacher spread0.232 · 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

Citations34
Published2005
Admission routes2
Has abstractyes

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