A blueprint for the implementation of a validated approach for the detection of SARS-Cov2 in clinical samples in academic facilities.

COVID-19 SARS-Cov2 diagnostic PCR qPCR sample workflow validation

Journal

Wellcome open research
ISSN: 2398-502X
Titre abrégé: Wellcome Open Res
Pays: England
ID NLM: 101696457

Informations de publication

Date de publication:
2020
Historique:
accepted: 12 10 2020
entrez: 3 11 2020
pubmed: 4 11 2020
medline: 4 11 2020
Statut: epublish

Résumé

The COVID-19 pandemic is expanding at an unprecedented rate. As a result, diagnostic services are stretched to their limit, and there is a clear need for the provision of additional diagnostic capacity. Academic laboratories, many of which are closed due to governmental lockdowns, may be in a position to support local screening capacity by adapting their current laboratory practices. Here, we describe the process of developing a SARS-Cov2 diagnostic workflow in a conventional academic Containment Level 2 laboratory. Our outline includes simple SARS-Cov2 deactivation upon contact, the method for a quantitative real-time reverse transcriptase PCR detecting SARS-Cov2, a description of process establishment and validation, and some considerations for establishing a similar workflow elsewhere. This was achieved under challenging circumstances through the collaborative efforts of scientists, clinical staff, and diagnostic staff to mitigate to the ongoing crisis. Within 14 days, we created a validated COVID-19 diagnostics service for healthcare workers in our local hospital. The described methods are not exhaustive, but we hope may offer support to other academic groups aiming to set up something comparable in a short time frame.

Identifiants

pubmed: 33134554
doi: 10.12688/wellcomeopenres.15937.2
pmc: PMC7590889
doi:

Types de publication

Journal Article

Langues

eng

Pagination

110

Informations de copyright

Copyright: © 2020 Sridhar S et al.

Déclaration de conflit d'intérêts

No competing interests were disclosed.

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Auteurs

Sushmita Sridhar (S)

Cambridge Institute of Therapeutic Immunology & Infectious Disease (CITIID), Department of Medicine, University of Cambridge, Cambridge, UK.
Wellcome Sanger Institute, Hinxton, UK.

Sally Forrest (S)

Cambridge Institute of Therapeutic Immunology & Infectious Disease (CITIID), Department of Medicine, University of Cambridge, Cambridge, UK.

Iain Kean (I)

Cambridge Institute of Therapeutic Immunology & Infectious Disease (CITIID), Department of Medicine, University of Cambridge, Cambridge, UK.

Jamie Young (J)

Department of Medical Genetics, University of Cambridge, Cambridge, UK.

Josefin Bartholdson Scott (J)

Cambridge Institute of Therapeutic Immunology & Infectious Disease (CITIID), Department of Medicine, University of Cambridge, Cambridge, UK.

Mailis Maes (M)

Cambridge Institute of Therapeutic Immunology & Infectious Disease (CITIID), Department of Medicine, University of Cambridge, Cambridge, UK.

Joana Pereira-Dias (J)

Cambridge Institute of Therapeutic Immunology & Infectious Disease (CITIID), Department of Medicine, University of Cambridge, Cambridge, UK.

Surendra Parmar (S)

Public Health England Diagnostic Laboratory, Addenbrooke's Hospital, Cambridge, UK.

Matthew Routledge (M)

Infectious Diseases, Addenbrooke's Hospital, Cambridge, UK.

Dominic Sparkes (D)

Infectious Diseases, Addenbrooke's Hospital, Cambridge, UK.

Lucy Rivett (L)

Infectious Diseases, Addenbrooke's Hospital, Cambridge, UK.

Gordon Dougan (G)

Cambridge Institute of Therapeutic Immunology & Infectious Disease (CITIID), Department of Medicine, University of Cambridge, Cambridge, UK.

Michael Weekes (M)

Infectious Diseases, Addenbrooke's Hospital, Cambridge, UK.

Martin Curran (M)

Public Health England Diagnostic Laboratory, Addenbrooke's Hospital, Cambridge, UK.

Ian Goodfellow (I)

Division of Virology, Department of Pathology, University of Cambridge, Cambridghe, UK.

Stephen Baker (S)

Cambridge Institute of Therapeutic Immunology & Infectious Disease (CITIID), Department of Medicine, University of Cambridge, Cambridge, UK.

Classifications MeSH