Δημοσίευση

The microbial detection array for detection of emerging viruses in clinical samples--a useful panmicrobial diagnostic tool.

ΤίτλοςThe microbial detection array for detection of emerging viruses in clinical samples--a useful panmicrobial diagnostic tool.
Publication TypeJournal Article
Year of Publication2014
AuthorsRosenstierne, M. W., McLoughlin K. S., Olesen M. Lindholm, Papa A., Gardner S. N., Engler O., Plumet S., Mirazimi A., Weidmann M., Niedrig M., Fomsgaard A., & Erlandsson L.
JournalPLoS One
Volume9
Issue6
Paginatione100813
Date Published2014
ISSN1932-6203
Λέξεις κλειδιάBiomarkers, DNA, Viral, Gene Expression Profiling, Humans, Molecular Diagnostic Techniques, Oligonucleotide Array Sequence Analysis, Real-Time Polymerase Chain Reaction, Reverse Transcriptase Polymerase Chain Reaction, RNA Virus Infections, RNA Viruses, RNA, Messenger, Sensitivity and Specificity, Specimen Handling
Abstract

Emerging viruses are usually endemic to tropical and sub-tropical regions of the world, but increased global travel, climate change and changes in lifestyle are believed to contribute to the spread of these viruses into new regions. Many of these viruses cause similar disease symptoms as other emerging viruses or common infections, making these unexpected pathogens difficult to diagnose. Broad-spectrum pathogen detection microarrays containing probes for all sequenced viruses and bacteria can provide rapid identification of viruses, guiding decisions about treatment and appropriate case management. We report a modified Whole Transcriptome Amplification (WTA) method that increases unbiased amplification, particular of RNA viruses. Using this modified WTA method, we tested the specificity and sensitivity of the Lawrence Livermore Microbial Detection Array (LLMDA) against a wide range of emerging viruses present in both non-clinical and clinical samples using two different microarray data analysis methods.

DOI10.1371/journal.pone.0100813
Alternate JournalPLoS ONE
PubMed ID24963710
PubMed Central IDPMC4070998

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