MétaCan
Menu
Back to cohort

Signature‐tagged and directed mutagenesis identify PABA synthetase as essential for <i>Aspergillus fumigatus</i> pathogenicity

2000· article· en· W2143989967 on OpenAlexaff
Jeremy Brown, Agnès Aufauvre‐Brown, Juliane Brown, Joanne M. Jennings, Herbert N. Arst, David W. Holden

Bibliographic record

VenueMolecular Microbiology · 2000
Typearticle
Languageen
FieldMedicine
TopicAntifungal resistance and susceptibility
Canadian institutionsNexen (Canada)
FundersMedical Research CouncilWellcome Trust
KeywordsBiologyAspergillus fumigatusIn vivoPathogenMutagenesisGeneMicrobiologyMutantAspergillusHuman pathogenGenetics

Abstract

fetched live from OpenAlex

Signature-tagged mutagenesis (STM) is a method that has been used to screen for genes required for in vivo survival of pathogenic bacteria, but has not been used to investigate a eukaryotic pathogen in an animal model of disease. We have adapted STM to identify genes required for in vivo growth of the opportunistic fungal pathogen Aspergillus fumigatus. Using a mouse model of invasive pulmonary aspergillosis, we have isolated several mutant strains with defects in their ability to replicate in vivo. One strain unable to cause lethal infection was further characterized and found to have an insertion into the promoter of a gene (pabaA) encoding para-aminobenzoic acid synthetase, an enzyme catalyzing a late step in the biosynthesis of folate. The complete inability of this strain, and other pabaA- strains constructed in this study by targeted gene deletion, to cause lethal infection in mice confirms the importance of the folate synthesis pathway for in vivo survival of this pathogen. The successful application of STM to A. fumigatus demonstrates that in vivo genetic analysis of eukaryotic pathogens is feasible and could result in the identification of potential targets, such as para-aminobenzoic acid synthetase, for novel antifungal therapies.

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 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 score0.026
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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.005
GPT teacher head0.259
Teacher spread0.254 · 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.

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

Citations145
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueMolecular MicrobiologySame topicAntifungal resistance and susceptibilityFrench-language works237,207