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Leishmania donovani lipophosphoglycan disrupts phagosome microdomains in J774 macrophages

2005· article· en· W2131986661 on OpenAlex
Jean-François Dermine, Guillaume Goyette, Mathieu Houde, Salvatore J. Turco, Michel Desjardins

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCellular Microbiology · 2005
Typearticle
Languageen
FieldMedicine
TopicResearch on Leishmaniasis Studies
Canadian institutionsCaprion (Canada)Université de Montréal
FundersNational Institute of Allergy and Infectious DiseasesNational Institutes of Health
KeywordsLipophosphoglycanPhagolysosomePhagosomeBiologyLeishmania donovaniPhagocytosisLeishmaniaCell biologyBiogenesisMicrobiologyVirulence factorVirulenceImmunologyLeishmaniasisParasite hostingVisceral leishmaniasisBiochemistry

Abstract

fetched live from OpenAlex

Clearance of pathogens by phagocytosis and their killing in phagolysosomes is a key aspect of our innate ability to fight infectious agents. Leishmania parasites have evolved ways to survive and replicate in macrophages by inhibiting phagosome maturation and avoiding the harsh environment of phagolysosomes. We describe here that during this process Leishmania donovani uses a novel strategy involving its surface lipophosphoglycan (LPG), a virulence factor impeding many host functions, to prevent the formation or disrupt lipid microdomains on the phagosome membrane. LPG acts locally on the membrane and requires its repetitive carbohydrate moieties to alter the organization of microdomains. Targeting and disruption of functional foci, where proteins involved in key aspects of phagolysosome biogenesis assemble, is likely to confer a survival advantage to the parasite.

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.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.242
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.014
GPT teacher head0.273
Teacher spread0.259 · 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