ArticleFrontiers in microbiology2012
Systems biology of fungal infection.
Article in Frontiers in microbiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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.
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Who cites it
38 citing papers in PubMed.
- Computational systems biology in disease modeling and control, review and perspectives.NPJ systems biology and applications · 2022Review
- Evaluating the efficacy of anti-fungal blue light therapies via analyzing tissue section images.Lasers in medical science · 2022Article
- The impact of the Fungus-Host-Microbiota interplay upon Candida albicans infections: current knowledge and new perspectives.FEMS microbiology reviews · 2021Review
- Uncovering the Role of Metabolism in Oomycete-Host Interactions Using Genome-Scale Metabolic Models.Frontiers in microbiology · 2021Review
- The impact of episporic modification ofComputational and structural biotechnology journal · 2021Article
- Microglial Response toJournal of fungi (Basel, Switzerland) · 2020Article
- Modeling Early Stages of Bone and Joint Infections Dynamics in Humans: A Multi-Agent, Multi-System Based Model.Frontiers in molecular biosciences · 2020Article
- Hybrid Agent-Based Modeling ofFrontiers in microbiology · 2020Article
- Comparative Assessment of Aspergillosis by Virtual Infection Modeling in Murine and Human Lung.Frontiers in immunology · 2019Article
- Antifungal and Cytotoxic Activities of Sixty Commercially-Available Essential Oils.Molecules (Basel, Switzerland) · 2018Article
- Methodologies for Assessing Disease Tolerance in Pigs.Frontiers in veterinary science · 2018Review
- Quantitative Simulations Predict Treatment Strategies Against Fungal Infections in Virtual Neutropenic Patients.Frontiers in immunology · 2018Article
- Facing the challenges of multiscale modelling of bacterial and fungal pathogen-host interactions.Briefings in functional genomics · 2017Review
- Dimensionality of Motion and Binding Valency Govern Receptor-Ligand Kinetics As Revealed by Agent-Based Modeling.Frontiers in immunology · 2017Article
- SCF Ubiquitin Ligase F-box Protein Fbx15 Controls Nuclear Co-repressor Localization, Stress Response and Virulence of the Human Pathogen Aspergillus fumigatus.PLoS pathogens · 2016Article
- A computational model of invasive aspergillosis in the lung and the role of iron.BMC systems biology · 2016Article
- Systems Biology Approaches for Host-Fungal Interactions: An Expanding Multi-Omics Frontier.Omics : a journal of integrative biology · 2016Review
- Identification and characterization of an anti-oxidative stress-associated mutant of Aspergillus fumigatus transformed by Agrobacterium tumefaciens.Molecular medicine reports · 2016Article
- An Omics Perspective on Candida Infections: Toward Next-Generation Diagnosis and Therapy.Frontiers in microbiology · 2016Review
- Data-based Reconstruction of Gene Regulatory Networks of Fungal Pathogens.Frontiers in microbiology · 2016Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Elucidation of pathogenicity mechanisms of the most important human-pathogenic fungi, Aspergillus fumigatus and Candida albicans, has gained great interest in the light of the steadily increasing number of cases of invasive fungal infections. A key feature of these infections is the interaction of the different fungal morphotypes with epithelial and immune effector cells in the human host. Because of the high level of complexity, it is necessary to describe and understand invasive fungal infection by taking a systems biological approach, i.e., by a comprehensive quantitative analysis of the non-linear and selective interactions of a large number of functionally diverse, and frequently multifunctional, sets of elements, e.g., genes, proteins, metabolites, which produce coherent and emergent behaviors in time and space. The recent advances in systems biology will now make it possible to uncover the structure and dynamics of molecular and cellular cause-effect relationships within these pathogenic interactions. We review current efforts to integrate omics and image-based data of host-pathogen interactions into network and spatio-temporal models. The modeling will help to elucidate pathogenicity mechanisms and to identify diagnostic biomarkers and potential drug targets for therapy and could thus pave the way for novel intervention strategies based on novel antifungal drugs and cell therapy.
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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.