ArticleMolecular systems biology2008
Mathematical modeling of pathogenicity of Cryptococcus neoformans.
Article in Molecular systems biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
31 citing papers in PubMed, 47 citations in OpenAlex.
- Pleiotropic roles of LAMMER kinase, Lkh1 in stress responses and virulence ofFrontiers in cellular and infection microbiology · 2024Article
- What's next for computational systems biology?Frontiers in systems biology · 2023Review
- Comprehensive genome-scale metabolic model of the human pathogenFrontiers in bioinformatics · 2023Article
- Sterylglucosides in Fungi.Journal of fungi (Basel, Switzerland) · 2022Review
- Antifungal Drug Development: Targeting the Fungal Sphingolipid Pathway.Journal of fungi (Basel, Switzerland) · 2020Review
- Application of median lethal concentration (LCBMC research notes · 2020Article
- Animal Models ofFrontiers in immunology · 2020Review
- ALL2, a Homologue of ALL1, Has a Distinct Role in Regulating pH Homeostasis in the Pathogen Cryptococcus neoformans.Infection and immunity · 2016Article
- Transmembrane transporter expression regulated by the glucosylceramide pathway in Cryptococcus neoformans.BMC research notes · 2015Article
- In silico modeling of spore inhalation reveals fungal persistence following low dose exposure.Scientific reports · 2015Article
- Synthesis and biological properties of fungal glucosylceramide.PLoS pathogens · 2014Review
- Administration of Phytoceramide Enhances Memory and Upregulates the Expression of pCREB and BDNF in Hippocampus of Mice.Biomolecules & therapeutics · 2013Article
- An integrative model of ion regulation in yeast.PLoS computational biology · 2013Article
- Ten challenges on Cryptococcus and cryptococcosis.Mycopathologia · 2012Review
- Methylation of glycosylated sphingolipid modulates membrane lipid topography and pathogenicity of Cryptococcus neoformans.Cellular microbiology · 2012Article
- Canonical modeling of the multi-scale regulation of the heat stress response in yeast.Metabolites · 2012Article
- Paradoxical roles of alveolar macrophages in the host response to Cryptococcus neoformans.Journal of infection and chemotherapy : official journal of the Japan Society of Chemotherapy · 2012Review
- Hydroxyurea treatment inhibits proliferation of Cryptococcus neoformans in mice.Frontiers in microbiology · 2012Article
- Phytoceramide shows neuroprotection and ameliorates scopolamine-induced memory impairment.Molecules (Basel, Switzerland) · 2011Article
- Sphingolipid and glycosphingolipid metabolic pathways in the era of sphingolipidomics.Chemical reviews · 2011Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
Cryptococcus neoformans (Cn) is the most common cause of fungal meningitis worldwide. In infected patients, growth of the fungus can occur within the phagolysosome of phagocytic cells, especially in non-activated macrophages of immunocompromised subjects. Since this environment is characteristically acidic, Cn must adapt to low pH to survive and efficiently cause disease. In the present work, we designed, tested, and experimentally validated a theoretical model of the sphingolipid biochemical pathway in Cn under acidic conditions. Simulations of metabolic fluxes and enzyme deletions or downregulation led to predictions that show good agreement with experimental results generated post hoc and reconcile intuitively puzzling results. This study demonstrates how biochemical modeling can yield testable predictions and aid our understanding of fungal pathogenesis through the design and computational simulation of hypothetical experiments.
Indexed as
Identifiers
What OpenQuestion holds
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.