Tweet
Clin Microbiol Infect. 2010 Apr 15. [Epub ahead of print]
Direct Pathogen Detection from Swab Samples Using a New High-Throughput Sequencing Technology.
Yongfeng H, Fan Y, Jie D, Jian Y, Ting Z, Lilian S, Qi J.
State Key Laboratory for Molecular Virology and Genetic Engineering, Institute of Pathogen Biology, Chinese Academy of Medical Sciences, Beijing, China.
Abstract
ABSTRACT The detection of emerging infectious diseases has been a continuing concern, especially with the novel influenza A (H1N1) viral pandemic of 2009. Here we validated a ''second-generation'' parallel sequencing platform for viral detection in swab samples collected during recent influenza virus infections in Beijing. This operation yielded millions of valid reads per sample and resulted in a nearly complete spectrum of nucleotide information. Importantly, novel A (H1N1) and seasonal A (H3N2) influenza virus-derived sequences were detected without prior knowledge or use of genetic information in advance, suggesting that this approach could be a valuable tool for diagnosing emerging infectious diseases.
PMID: 20412188 [PubMed - as supplied by publisher]
Direct Pathogen Detection from Swab Samples Using a New High-Throughput Sequencing Technology.
Yongfeng H, Fan Y, Jie D, Jian Y, Ting Z, Lilian S, Qi J.
State Key Laboratory for Molecular Virology and Genetic Engineering, Institute of Pathogen Biology, Chinese Academy of Medical Sciences, Beijing, China.
Abstract
ABSTRACT The detection of emerging infectious diseases has been a continuing concern, especially with the novel influenza A (H1N1) viral pandemic of 2009. Here we validated a ''second-generation'' parallel sequencing platform for viral detection in swab samples collected during recent influenza virus infections in Beijing. This operation yielded millions of valid reads per sample and resulted in a nearly complete spectrum of nucleotide information. Importantly, novel A (H1N1) and seasonal A (H3N2) influenza virus-derived sequences were detected without prior knowledge or use of genetic information in advance, suggesting that this approach could be a valuable tool for diagnosing emerging infectious diseases.
PMID: 20412188 [PubMed - as supplied by publisher]
