A role for Biofoundries in rapid development and validation of automated SARS-CoV-2 clinical diagnostics

The SARS-CoV-2 pandemic has shown how a rapid rise in demand for patient and community sample testing can quickly overwhelm testing capability globally. With most diagnostic infrastructure dependent on specialized instruments, their exclusive reagent supplies quickly become bottlenecks, creating an urgent need for approaches to boost testing capacity. We address this challenge by refocusing the London Biofoundry onto the development of alternative testing pipelines. Here, we present a reagent-agnostic automated SARS-CoV-2 testing platform that can be quickly deployed and scaled. Using an in-house-generated, open-source, MS2-virus-like particle (VLP) SARS-CoV-2 standard, we validate RNA extraction and RT-qPCR workflows as well as two detection assays based on CRISPR-Cas13a and RT-loop-mediated isothermal amplification (RT-LAMP). In collaboration with an NHS diagnostic testing lab, we report the performance of the overall workflow and detection of SARS-CoV-2 in patient samples using RT-qPCR, CRISPR-Cas13a, and RT-LAMP. The validated RNA extraction and RT-qPCR platform has been installed in NHS diagnostic labs, increasing testing capacity by 1000 samples per day.

[1]  K. Pabbaraju,et al.  Development and validation of direct RT-LAMP for SARS-CoV-2 , 2020, medRxiv.

[2]  Holger Hannemann,et al.  Dengue virus-like particles mimic the antigenic properties of the infectious dengue virus envelope , 2018, Virology Journal.

[3]  Paul S. Freemont,et al.  Synthetic biology industry: data-driven design is creating new opportunities in biotechnology , 2019, Emerging topics in life sciences.

[4]  S. P. Akpabio World Health Organisation , 1983, British Dental Journal.

[5]  Christopher H. S. Aylett,et al.  Bacteriophage MS2 displays unreported capsid variability assembling T = 4 and mixed capsids , 2019, Molecular microbiology.

[6]  Hayden C. Metsky,et al.  CRISPR-based COVID-19 surveillance using a genomically-comprehensive machine learning approach , 2020 .

[7]  Hayden C. Metsky,et al.  CRISPR-based surveillance for COVID-19 using genomically-comprehensive machine learning design , 2020, bioRxiv.

[8]  Quanyi Wang,et al.  Viral load of SARS-CoV-2 in clinical samples , 2020, The Lancet Infectious Diseases.

[9]  Robert L. Goldstone,et al.  Scalable and robust SARS-CoV-2 testing in an academic center , 2020, Nature Biotechnology.

[10]  N. Tanner,et al.  Rapid Molecular Detection of SARS-CoV-2 (COVID-19) Virus RNA Using Colorimetric LAMP , 2020, medRxiv.

[11]  Daeui Park,et al.  Comparative analysis of primer-probe sets for the laboratory confirmation of SARS-CoV-2 , 2020, bioRxiv.

[12]  Douglas C. Friedman,et al.  Building a global alliance of biofoundries , 2019, Nature Communications.

[13]  D. Hillyard,et al.  The use of Armored RNA as a multi-purpose internal control for RT-PCR , 2008, Journal of Virological Methods.

[14]  James J. Collins,et al.  Multiplexed and portable nucleic acid detection platform with Cas13, Cas12a, and Csm6 , 2018, Science.

[15]  Thomas C Evans,et al.  Visual detection of isothermal nucleic acid amplification using pH-sensitive dyes. , 2015, BioTechniques.

[16]  E. Dong,et al.  An interactive web-based dashboard to track COVID-19 in real time , 2020, The Lancet Infectious Diseases.

[17]  C. Sheridan Fast, portable tests come online to curb coronavirus pandemic , 2020, Nature Biotechnology.

[18]  Eric Song,et al.  Analytical sensitivity and efficiency comparisons of SARS-CoV-2 RT–qPCR primer–probe sets , 2020, Nature Microbiology.

[19]  Åsa Johansson,et al.  Corrigendum: 1000 Genomes-based meta-analysis identifies 10 novel loci for kidney function , 2017, Scientific Reports.

[20]  Hayden C. Metsky,et al.  Massively multiplexed nucleic acid detection with Cas13 , 2020, Nature.

[21]  Wei Gu,et al.  CRISPR–Cas12-based detection of SARS-CoV-2 , 2020, Nature Biotechnology.

[22]  N.-G. Kim,et al.  Point-of-care testing for COVID-19 using SHERLOCK diagnostics , 2020, medRxiv.

[23]  B. Pasloske,et al.  Armored RNA Technology for Production of Ribonuclease-Resistant Viral RNA Controls and Standards , 1998, Journal of Clinical Microbiology.

[24]  Jingcao Pan,et al.  Preparation of Armored RNA as a Control for Multiplex Real-Time Reverse Transcription-PCR Detection of Influenza Virus and Severe Acute Respiratory Syndrome Coronavirus , 2007, Journal of Clinical Microbiology.

[25]  Effect of large-scale testing platform in prevention and control of the COVID-19 pandemic: an empirical study with a novel numerical model , 2020, medRxiv.

[26]  Thomas E Gorochowski,et al.  DNAplotlib: Programmable Visualization of Genetic Designs and Associated Data. , 2017, ACS synthetic biology.

[27]  Qingge Li,et al.  Preparation of His-Tagged Armored RNA Phage Particles as a Control for Real-Time Reverse Transcription-PCR Detection of Severe Acute Respiratory Syndrome Coronavirus , 2006, Journal of Clinical Microbiology.

[28]  A. M. Leontovich,et al.  The species Severe acute respiratory syndrome-related coronavirus: classifying 2019-nCoV and naming it SARS-CoV-2 , 2020, Nature Microbiology.