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Record W7061684168

The role of the glycosyl hydrolase Ega3 in the biology of aspergillus fumigatus

2023· dissertation· en· W7061684168 on OpenAlex

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

VenueeScholarship@McGill (McGill) · 2023
Typedissertation
Languageen
FieldEngineering
TopicAdvanced Power Generation Technologies
Canadian institutionsMcGill University
Fundersnot available
KeywordsAspergillus fumigatusHydrolaseGlycoside hydrolaseGlycosylEnzyme
DOInot available

Abstract

fetched live from OpenAlex

Aspergillus fumigatus is a ubiquitous environmental mold.When conidia of A. fumigatus are inhaled by immunosuppressed individuals they can germinate to form filamentous hyphae that invade lung tissue to cause a necrotizing pneumonia which is associated with a high mortality rate.One of the major virulence factors of A. fumigatus is the production of the secreted cationic exopolysaccharide galactosaminogalactan (GAG), which is essential for biofilm formation.GAG is predicted to be synthesized by the products of a five gene cluster, one of which, ega3, is predicted to encode a glycoside hydrolase anchored to the cell membrane of A. fumigatus.Through mass spectrometry studies, we established that Ega3 cleaves mature deacetylated GAG.We hypothesized that like the other proteins in the cluster, Ega3 is necessary for GAG synthesis.To test this hypothesis, we sought to disrupt the ega3 by allele replacement with a drug resistance marker and characterize the phenotype of the resulting ega3 null mutant.Initial attempts to disrupt ega3 by our usual approach were unsuccessful but two ega3 null mutants were finally recovered, one using CRISPR/Cas9 and another using the conventional split marker protocol.Like other mutants in the GAG cluster, these mutants were deficient in biofilm formation and did not produce deacetylated GAG.Surprisingly, complementation with an ega3 allele failed to restore biofilm formation in both strains, despite restoration of Ega3 protein production as demonstrated by Western blot.These findings were consistent with the presence of a secondary mutation impairing GAG production.Analysis of the expression of the GAG cluster genes revealed that agd3, encoding the GAG deacetylase required for the production of mature, cationic GAG, was not expressed in the ega3 CRISPR mutant.Genome sequencing revealed that uge3, required for GAG production, was mutated in the other ega3 null mutant.Since we were only able to disrupt ega3 in the absence of the production of cationic GAG, we hypothesized that ega3 is conditionally essential in the presence of cationic GAG.To test this hypothesis, agd3 was expressed in the ega3 CRISPR mutant under the control of a tetracycline-inducible promoter (ega3 CRISPR ::agd3 Tet on ).Under agd3expressing conditions, GAG production was restored but fungal growth was inhibited.Since GAG is a large cationic polymer and Ega3 cleaves cationic GAG, we hypothesized that cationic GAG may be toxic to the cell membrane of A. fumigatus and that membrane-bound Ega3 degrades GAG near the membrane.To test whether cationic GAG induces damage to the cell membrane in the absence of Ega3, ATP was measured in fungal culture supernatants as a proxy for cell leakage.Induction of agd3 expression in the ega3 CRISPR ::agd3 Tet on mutant resulted in the release of high levels of ATP suggesting that cationic GAG disrupts the cell membrane of A. fumigatus.We therefore hypothesized that secreted GAG may also mediate host cell injury during infection.To test this hypothesis, A549 pulmonary epithelial cells were loaded with radioactive chromium and exposed to culture supernatants from wild-

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.415
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0010.002
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 head0.222
Teacher spread0.214 · 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