ArticleVirulence2017
Paracoccidioides brasiliensis presents metabolic reprogramming and secretes a serine proteinase during murine infection.
Article in Virulence, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.
- Genetic background and immune response in paracoccidioidomycosis: A systematic review and meta-analysis of single nucleotide variants.PLoS neglected tropical diseases · 2026Pooled it
- Paracoccidioidomycosis in the 21st century: Challenges and milestones.PLoS neglected tropical diseases · 2026Review
- IL-6 Degradation by Secreted Proteases FromInternational journal of microbiology · 2025Article
- Paracoccidioides lutzii Infects Galleria mellonella Employing Formamidase as a Virulence Factor.PLoS neglected tropical diseases · 2024Article
- The Response ofJournal of fungi (Basel, Switzerland) · 2023Article
- The State of the Art in Transcriptomics and Proteomics of Clinically RelevantJournal of fungi (Basel, Switzerland) · 2023Review
- Exposure ofAntibiotics (Basel, Switzerland) · 2023Article
- Transcriptional profiling of a fungal granuloma reveals a low metabolic activity ofFrontiers in cellular and infection microbiology · 2023Article
- Proteomic analysis reveals changes in the proteome of human THP-1 macrophages infected withFrontiers in cellular and infection microbiology · 2023Article
- Article
- Iron Deprivation Modulates the Exoproteome inFrontiers in cellular and infection microbiology · 2022Article
- Peptides derived from gp43, the most antigenic protein from Paracoccidioides brasiliensis, form amyloid fibrils in vitro: implications for vaccine development.Scientific reports · 2021Article
- Comparative Proteomic Analysis ofFrontiers in microbiology · 2021Article
- Prediction of Conserved Peptides ofJournal of fungi (Basel, Switzerland) · 2020Article
- Immunoproteomic Analysis Reveals Novel Candidate Antigens for the Diagnosis of Paracoccidioidomycosis Due toJournal of fungi (Basel, Switzerland) · 2020Article
- Beyond Melanin: Proteomics Reveals Virulence-Related Proteins inJournal of fungi (Basel, Switzerland) · 2020Article
- Metabolomics and Machine Learning Approaches Combined in Pursuit for More Accurate Paracoccidioidomycosis Diagnoses.mSystems · 2020Article
- Propionate metabolism in a human pathogenic fungus: proteomic and biochemical analyses.IMA fungus · 2020Article
- Living Within the Macrophage: Dimorphic Fungal Pathogen Intracellular Metabolism.Frontiers in cellular and infection microbiology · 2020Review
- The Trojan Horse Model inFrontiers in cellular and infection microbiology · 2020Review
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Paracoccidoides brasiliensis and Paracoccidioides lutzii, the etiologic agents of paracoccidioidomycosis, cause disease in healthy and immunocompromised persons in Latin America. We developed a method for harvesting P. brasiliensis yeast cells from infected murine lung to facilitate in vivo transcriptional and proteomic profiling. P. brasiliensis harvested at 6 h post-infection were analyzed using RNAseq and LC-MS
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.