仆从
纳米孔测序
周转时间
肺结核
抗药性
结核分枝杆菌
多路复用
放大器
计算生物学
工作流程
生物
医学
DNA测序
生物信息学
遗传学
聚合酶链反应
计算机科学
数据库
基因
操作系统
病理
作者
Ketema Tafess,Timothy Ting-Leung Ng,Hiu Yin Lao,Kenneth Siu Sing Leung,Kingsley King Gee Tam,Rahim Rajwani,Sarah Tsz Yan Tam,Lily Pui Ki Ho,Corey Mang Kiu Chu,Dimitri Gonzalez,Chalom Sayada,Oliver Chiu Kit,Belete Haile,Gobena Ameni,Wing Cheong Yam,G. G. Siu
出处
期刊:Clinical Chemistry
[Oxford University Press]
日期:2020-04-06
卷期号:66 (6): 809-820
被引量:55
标识
DOI:10.1093/clinchem/hvaa092
摘要
Abstract Background The emergence of Mycobacterium tuberculosis with complex drug resistance profiles necessitates a rapid and comprehensive drug susceptibility test for guidance of patient treatment. We developed two targeted-sequencing workflows based on Illumina MiSeq and Nanopore MinION for the prediction of drug resistance in M. tuberculosis toward 12 antibiotics. Methods A total of 163 M. tuberculosis isolates collected from Hong Kong and Ethiopia were subjected to a multiplex PCR for simultaneous amplification of 19 drug resistance-associated genetic regions. The amplicons were then barcoded and sequenced in parallel on MiSeq and MinION in respective batch sizes of 24 and 12 samples. A web-based bioinformatics pipeline, BacterioChek-TB, was developed to translate the raw datasets into clinician-friendly reports. Results Both platforms successfully sequenced all samples with mean read depths of 1,127× and 1,649×, respectively. The variant calling by MiSeq and MinION could achieve 100% agreement if variants with an allele frequency of <40% reported by MinION were excluded. Both workflows achieved a mean clinical sensitivity of 94.8% and clinical specificity of 98.0% when compared with phenotypic drug susceptibility test (pDST). Turnaround times for the MiSeq and MinION workflows were 38 and 15 h, facilitating the delivery of treatment guidance at least 17–18 days earlier than pDST, respectively. The higher cost per sample on the MinION platform ($71.56) versus the MiSeq platform ($67.83) was attributed to differences in batching capabilities. Conclusion Our study demonstrates the interchangeability of MiSeq and MinION platforms for generation of accurate and actionable results for the treatment of tuberculosis.
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