Optimizing the Illumina COVIDSeq laboratorial and bioinformatics pipeline on thousands of samples for SARS-CoV-2 Variants of Concern tracking

优化 Illumina COVIDSeq 实验室和生物信息学流程,对数千个样本进行 SARS-CoV-2 值得关注的变异株追踪

阅读:10
作者:Sara Donzelli, Ludovica Ciuffreda, Martina Pontone, Martina Betti, Alice Massacci, Carla Mottini, Francesca De Nicola, Giulia Orlandi, Frauke Goeman, Eugenia Giuliani, Eleonora Sperandio, Giulia Piaggio; ISG COVID Team; Aldo Morrone, Gennaro Ciliberto, Maurizio Fanciulli, Giovanni Blandino, Fulvia P

Abstract

The SARS-CoV-2 Variants of Concern tracking via Whole Genome Sequencing represents a pillar of public health measures for the containment of the pandemic. The ability to track down the lineage distribution on a local and global scale leads to a better understanding of immune escape and to adopting interventions to contain novel outbreaks. This scenario poses a challenge for NGS laboratories worldwide that are pressed to have both a faster turnaround time and a high-throughput processing of swabs for sequencing and analysis. In this study, we present an optimization of the Illumina COVID-seq protocol carried out on thousands of SARS-CoV-2 samples at the wet and dry level. We discuss the unique challenges related to processing hundreds of swabs per week such as the tradeoff between ultra-high sensitivity and negative contamination levels, cost efficiency and bioinformatics quality metrics.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。