ArticleScientific reports2015
Network-assisted genetic dissection of pathogenicity and drug resistance in the opportunistic human pathogenic fungus Cryptococcus neoformans.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 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.
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Who cites it
24 citing papers in PubMed, 30 citations in OpenAlex.
- Set202 is a histone lysine methyltransferase that enablesbioRxiv : the preprint server for biology · 2026Article
- Insights from Mass Spectrometry-Based Proteomics onJournal of fungi (Basel, Switzerland) · 2025Review
- The Cryptococcus neoformans STRIPAK complex controls genome stability, sexual development, and virulence.PLoS pathogens · 2024Article
- Brilacidin, a novel antifungal agent againstmBio · 2024Article
- CryptoCEN: A Co-Expression Network for Cryptococcus neoformans reveals novel proteins involved in DNA damage repair.PLoS genetics · 2024Article
- CryptoCEN: A Co-Expression Network forbioRxiv : the preprint server for biology · 2023Article
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- Genomic analysis of Asian honeybee populations in China reveals evolutionary relationships and adaptation to abiotic stress.Ecology and evolution · 2020Article
- BiomeNet: a database for construction and analysis of functional interaction networks for any species with a sequenced genome.Bioinformatics (Oxford, England) · 2020Article
- The TOR Pathway Plays Pleiotropic Roles in Growth and Stress Responses of the Fungal PathogenGenetics · 2019Article
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- Nutrient and Stress Sensing in Pathogenic Yeasts.Frontiers in microbiology · 2019Review
- PHI-Nets: A Network Resource for Ascomycete Fungal Pathogens to Annotate and Identify Putative Virulence Interacting Proteins and siRNA Targets.Frontiers in microbiology · 2019Article
- Unraveling synthesis of the cryptococcal cell wall and capsule.Glycobiology · 2018Review
- Network-based genetic investigation of virulence-associated phenotypes in methicillin-resistant Staphylococcus aureus.Scientific reports · 2018Article
- Biomedical applications of genome-scale metabolic network reconstructions of human pathogens.Current opinion in biotechnology · 2018Review
- The novel microtubule-associated CAP-glycine protein Cgp1 governs growth, differentiation, and virulence of Cryptococcus neoformans.Virulence · 2018Article
- Sho1 and Msb2 Play Complementary but Distinct Roles in Stress Responses, Sexual Differentiation, and Pathogenicity ofFrontiers in microbiology · 2018Article
- Transcriptome and network analyses in Saccharomyces cerevisiae reveal that amphotericin B and lactoferrin synergy disrupt metal homeostasis and stress response.Scientific reports · 2017Article
- Rewiring of Signaling Networks Modulating Thermotolerance in the Human Pathogen Cryptococcus neoformans.Genetics · 2017Article
Corrections and comments
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Authors and funding
12 authors at 5 institutions in 4 countries.
Funding
Abstract
Cryptococcus neoformans is an opportunistic human pathogenic fungus that causes meningoencephalitis. Due to the increasing global risk of cryptococcosis and the emergence of drug-resistant strains, the development of predictive genetics platforms for the rapid identification of novel genes governing pathogenicity and drug resistance of C. neoformans is imperative. The analysis of functional genomics data and genome-scale mutant libraries may facilitate the genetic dissection of such complex phenotypes but with limited efficiency. Here, we present a genome-scale co-functional network for C. neoformans, CryptoNet, which covers ~81% of the coding genome and provides an efficient intermediary between functional genomics data and reverse-genetics resources for the genetic dissection of C. neoformans phenotypes. CryptoNet is the first genome-scale co-functional network for any fungal pathogen. CryptoNet effectively identified novel genes for pathogenicity and drug resistance using guilt-by-association and context-associated hub algorithms. CryptoNet is also the first genome-scale co-functional network for fungi in the basidiomycota phylum, as Saccharomyces cerevisiae belongs to the ascomycota phylum. CryptoNet may therefore provide insights into pathway evolution between two distinct phyla of the fungal kingdom. The CryptoNet web server (www.inetbio.org/cryptonet) is a public resource that provides an interactive environment of network-assisted predictive genetics for C. neoformans.
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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.