Author
Listed:
- Michael A. Crone
(Imperial College Translation and Innovation Hub
Imperial College London
Imperial College London)
- Miles Priestman
(Imperial College Translation and Innovation Hub
Imperial College London)
- Marta Ciechonska
(Imperial College Translation and Innovation Hub
Imperial College London)
- Kirsten Jensen
(Imperial College Translation and Innovation Hub
Imperial College London
Imperial College London)
- David J. Sharp
(Imperial College London
Imperial College London, Hammersmith Hospital)
- Arthi Anand
(North West London Pathology
Hammersmith Hospital)
- Paul Randell
(North West London Pathology
Charing Cross Hospital)
- Marko Storch
(Imperial College Translation and Innovation Hub
Imperial College London)
- Paul S. Freemont
(Imperial College Translation and Innovation Hub
Imperial College London
Imperial College London)
Abstract
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.
Suggested Citation
Michael A. Crone & Miles Priestman & Marta Ciechonska & Kirsten Jensen & David J. Sharp & Arthi Anand & Paul Randell & Marko Storch & Paul S. Freemont, 2020.
"A role for Biofoundries in rapid development and validation of automated SARS-CoV-2 clinical diagnostics,"
Nature Communications, Nature, vol. 11(1), pages 1-11, December.
Handle:
RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-18130-3
DOI: 10.1038/s41467-020-18130-3
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-18130-3. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.