MétaCan
Menu
Back to cohort
Record W2058422567 · doi:10.4161/auto.2825

Autophagy Recognizes Intracellular Salmonella enterica serovar Typhimurium in Damaged Vacuoles

2006· review· en· W2058422567 on OpenAlexafffund
Cheryl L. Birmingham, John H. Brumell

Bibliographic record

VenueAutophagy · 2006
Typereview
Languageen
FieldMedicine
TopicAutophagy in Disease and Therapy
Canadian institutionsHospital for Sick Children
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsVacuoleBiologySalmonella entericaAutophagyIntracellularIntracellular parasiteCytosolMicrobiologyPopulationSalmonellaCell biologyPathogenBacteriaBiochemistryCytoplasmApoptosisGeneticsEnzyme

Abstract

fetched live from OpenAlex

Autophagy is responsible for the degradation of cytosolic components within eukaryotic cells. Interestingly, autophagy also appears to play a role in recognizing invading intracellular pathogens. Salmonella enterica serovar Typhimurium (S. Typhimurium) is an intracellular pathogen that normally resides and replicates within the Salmonella-containing vacuole (SCV). However, during in vitro infection a population of S. Typhimurium damage and escape from the SCV to enter the cytosol. We have observed that some intracellular S. Typhimurium are recognized by autophagy under in vitro infection conditions. Immunofluorescence studies revealed that autophagy recognizes the population of S. Typhimurium within damaged SCVs early after infection. The consequences of autophagic recognition of S. Typhimurium are still being elucidated, though a restrictive effect on intracellular bacterial replication has been demonstrated. Results of our in vitro infection studies are consistent with autophagy playing a role in cellular defense against S. Typhimurium that become exposed to the cytosol.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.005

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 head0.042
GPT teacher head0.351
Teacher spread0.310 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations128
Published2006
Admission routes2
Has abstractyes

Explore more

Same venueAutophagySame topicAutophagy in Disease and TherapyFrench-language works237,207