title: Application of a non-amplification-based technology to detect invasive fungal pathogens.
abstract: Current diagnostic techniques for fungal diseases could be improved with respect to sensitivity, specificity, and timeliness. To address this clinical need, we adapted a non-amplification-based nucleic acid detection technology to identify fungal pathogens. We demonstrate a high-specificity, detection sensitivity, reproducibility, and multiplex capacity for detecting fungal strains.
authors.affiliation: Department of Medicine, Division of Pulmonary and Critical Care Medicine, Stanford University School of Medicine, Stanford, CA, USA. Electronic address: joehsu@stanford.edu.
authors.forename: Joe L
authors.initials: JL
authors.lastname: Hsu
authors.affiliation: Aspergillus Genome Center, Stanford University School of Medicine, Stanford, CA, USA.
authors.forename: Jon
authors.initials: J
authors.lastname: Binkley
authors.affiliation: Infectious Diseases Research Laboratory, California Institute for Medical Research, San Jose, CA, USA; Department of Medicine, Division of Infectious Diseases, Santa Clara Valley Medical Center, San Jose, CA, USA; Department of Medicine, Division of Infectious Diseases & Geographic Medicine, Stanford University School of Medicine, Stanford, CA, USA.
authors.forename: Karl V
authors.initials: KV
authors.lastname: Clemons
authors.affiliation: Infectious Diseases Research Laboratory, California Institute for Medical Research, San Jose, CA, USA; Department of Medicine, Division of Infectious Diseases, Santa Clara Valley Medical Center, San Jose, CA, USA; Department of Medicine, Division of Infectious Diseases & Geographic Medicine, Stanford University School of Medicine, Stanford, CA, USA.
authors.forename: David A
authors.initials: DA
authors.lastname: Stevens
authors.affiliation: Department of Medicine, Division of Pulmonary and Critical Care Medicine, Stanford University School of Medicine, Stanford, CA, USA.
authors.forename: Mark R
authors.initials: MR
authors.lastname: Nicolls
authors.affiliation: Department of Medicine, Division of Infectious Diseases & Geographic Medicine, Stanford University School of Medicine, Stanford, CA, USA; Office of Public Health, Department of Veterans Affairs, Washington, DC, USA.
authors.forename: Mark
authors.initials: M
authors.lastname: Holodniy
mesh_terms: D005658:Fungi / Q000145:classification* / Q000235:genetics*; D006801:Humans; D058889:Molecular Typing; D016533:Mycological Typing Techniques; D009181:Mycoses / Q000175:diagnosis*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity
keywords: Aspergillus; Candida; Diagnosis; Invasive fungal disease; nCounter analysis system