纳米孔
纳米孔测序
严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)
2019年冠状病毒病(COVID-19)
计算生物学
病毒学
生物
纳米技术
医学
遗传学
材料科学
基因组
病理
疾病
传染病(医学专业)
基因
作者
Kaoru Murakami,Shimpei I. Kubota,Kumiko Tanaka‐Ishii,Hiroki Tanaka,Keiichiroh Akabane,Rigel Suzuki,Yuta Shinohara,Hiroyasu Takei,Shigeru Hashimoto,Yuki Tanaka,Shintaro Hojyo,Osamu Sakamoto,Norihiko Naono,Takayui Takaai,Kazuki Sato,Yuichi Kojima,Toshiyuki Harada,Takeshi Hattori,Satoshi Fuke,Isao Yokota
出处
期刊:Lab on a Chip
[Royal Society of Chemistry]
日期:2023-01-01
卷期号:23 (22): 4909-4918
被引量:5
摘要
A digital platform that can rapidly and accurately diagnose pathogenic viral variants, including SARS-CoV-2, will minimize pandemics, public anxiety, and economic losses. We recently reported an artificial intelligence (AI)-nanopore platform that enables testing for Wuhan SARS-CoV-2 with high sensitivity and specificity within five minutes. However, which parts of the virus are recognized by the platform are unknown. Similarly, whether the platform can detect SARS-CoV-2 variants or the presence of the virus in clinical samples needs further study. Here, we demonstrated the platform can distinguish SARS-CoV-2 variants. Further, it identified mutated Wuhan SARS-CoV-2 expressing spike proteins of the delta and omicron variants, indicating it discriminates spike proteins. Finally, we used the platform to identify omicron variants with a sensitivity and specificity of 100% and 94%, respectively, in saliva specimens from COVID-19 patients. Thus, our results demonstrate the AI-nanopore platform is an effective diagnostic tool for SARS-CoV-2 variants.
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