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Record W2028847033 · doi:10.1128/jb.06417-11

EspD Is Critical for the Virulence-Mediating ESX-1 Secretion System in Mycobacterium tuberculosis

2011· article· en· W2028847033 on OpenAlexfundno aff
Jeffrey M. Chen, Stefanie Boy‐Röttger, Neeraj Dhar, Nathan P. Sweeney, Roger S. Buxton, Florence Pojer, Ida Rosenkrands, Stewart T. Cole

Bibliographic record

VenueJournal of Bacteriology · 2011
Typearticle
Languageen
FieldMedicine
TopicTuberculosis Research and Epidemiology
Canadian institutionsnot available
FundersEuropean Maritime and Fisheries FundNational Institute of Allergy and Infectious DiseasesCanadian Institutes of Health ResearchSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
KeywordsSecretionBiologyMycobacterium tuberculosisType three secretion systemMutagenesisMicrobiologyCell biologyVirulenceTuberculosisMutationGeneticsGeneBiochemistry

Abstract

fetched live from OpenAlex

ESAT-6 system 1 (ESX-1)-mediated secretion in Mycobacterium tuberculosis is dependent on proteins encoded by the cotranscribed espA-espC-espD gene cluster. While the roles of EspA and EspC with respect to the ESX-1 secretion system have been actively investigated, the function of EspD remains unknown. We show that EspD is secreted by M. tuberculosis, but unlike EspA and EsxA, its export does not exclusively require the ESX-1 system. Evidence for stabilization of cellular levels of EspA and EspC by EspD is presented, and depletion of EspD results in loss of EsxA secretion. Site-directed mutagenesis of EspD reveals that its role in the maintenance of cellular levels of EspA in M. tuberculosis is distinct from its facilitation of EsxA secretion. The same mutagenesis experiments have also shown that secretion of EspD is not required for the secretion of EsxA. Our findings highlight a critical and complex role for EspD in modulating the ESX-1 secretion system in M. tuberculosis.

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)0.001
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.051
GPT teacher head0.336
Teacher spread0.286 · 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

Citations85
Published2011
Admission routes1
Has abstractyes

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