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The SHERLOCK Platform: An Insight into Advances in Viral Disease Diagnosis
Persistence and prevalence of microbial diseases (pandemics, epidemics) is the most alarming threats to the human resulting in huge health and economic losses. Rapid detection and understanding of the disease dynamics by molecular biotechnology tools allow for robust reporting, treatment and control...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9735230/ https://www.ncbi.nlm.nih.gov/pubmed/36494593 http://dx.doi.org/10.1007/s12033-022-00625-7 |
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author | Zahra, Ambreen Shahid, Ayesha Shamim, Amen Khan, Sultan Habibullah Arshad, Muhammad Imran |
author_facet | Zahra, Ambreen Shahid, Ayesha Shamim, Amen Khan, Sultan Habibullah Arshad, Muhammad Imran |
author_sort | Zahra, Ambreen |
collection | PubMed |
description | Persistence and prevalence of microbial diseases (pandemics, epidemics) is the most alarming threats to the human resulting in huge health and economic losses. Rapid detection and understanding of the disease dynamics by molecular biotechnology tools allow for robust reporting, treatment and control of diseases. As per WHO, the optimal diagnostic approach should be quick, specific, sensitive, without a stringed instrument, and low cost. The drawbacks of traditional detection techniques promote the use of CRISPR-mediated nucleic acid detection methods such as SHERLOCK as detection method. It takes advantage of the unexpected in vitro features of CRISPR-Cas system to develop field-deployable sensitive detection tools. Previously, CRISPR-mediated diagnostic methods have extensively been reviewed particularly for SARS-COV-2 detection, but it fails to provide the insight into advances of this technique. This study is the first attempt to review the advances of SHERLOCK approach as diagnostic tool for viral diseases detection. Variations of SHERLOCK mechanism for improved efficiency are discussed. Particularly integrated SHERLOCK approaches in terms of extraction-free assay and Bluetooth-enabled detection are reviewed to access their feasibility for the development of simpler and cost-effective diagnostic toolkits. Insight in to perks and limitations of diagnostic methods indicates its potential as ultimate diagnostic instrument for disease management. GRAPHICAL ABSTRACT: [Image: see text] |
format | Online Article Text |
id | pubmed-9735230 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-97352302022-12-12 The SHERLOCK Platform: An Insight into Advances in Viral Disease Diagnosis Zahra, Ambreen Shahid, Ayesha Shamim, Amen Khan, Sultan Habibullah Arshad, Muhammad Imran Mol Biotechnol Review Paper Persistence and prevalence of microbial diseases (pandemics, epidemics) is the most alarming threats to the human resulting in huge health and economic losses. Rapid detection and understanding of the disease dynamics by molecular biotechnology tools allow for robust reporting, treatment and control of diseases. As per WHO, the optimal diagnostic approach should be quick, specific, sensitive, without a stringed instrument, and low cost. The drawbacks of traditional detection techniques promote the use of CRISPR-mediated nucleic acid detection methods such as SHERLOCK as detection method. It takes advantage of the unexpected in vitro features of CRISPR-Cas system to develop field-deployable sensitive detection tools. Previously, CRISPR-mediated diagnostic methods have extensively been reviewed particularly for SARS-COV-2 detection, but it fails to provide the insight into advances of this technique. This study is the first attempt to review the advances of SHERLOCK approach as diagnostic tool for viral diseases detection. Variations of SHERLOCK mechanism for improved efficiency are discussed. Particularly integrated SHERLOCK approaches in terms of extraction-free assay and Bluetooth-enabled detection are reviewed to access their feasibility for the development of simpler and cost-effective diagnostic toolkits. Insight in to perks and limitations of diagnostic methods indicates its potential as ultimate diagnostic instrument for disease management. GRAPHICAL ABSTRACT: [Image: see text] Springer US 2022-12-09 2023 /pmc/articles/PMC9735230/ /pubmed/36494593 http://dx.doi.org/10.1007/s12033-022-00625-7 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Review Paper Zahra, Ambreen Shahid, Ayesha Shamim, Amen Khan, Sultan Habibullah Arshad, Muhammad Imran The SHERLOCK Platform: An Insight into Advances in Viral Disease Diagnosis |
title | The SHERLOCK Platform: An Insight into Advances in Viral Disease Diagnosis |
title_full | The SHERLOCK Platform: An Insight into Advances in Viral Disease Diagnosis |
title_fullStr | The SHERLOCK Platform: An Insight into Advances in Viral Disease Diagnosis |
title_full_unstemmed | The SHERLOCK Platform: An Insight into Advances in Viral Disease Diagnosis |
title_short | The SHERLOCK Platform: An Insight into Advances in Viral Disease Diagnosis |
title_sort | sherlock platform: an insight into advances in viral disease diagnosis |
topic | Review Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9735230/ https://www.ncbi.nlm.nih.gov/pubmed/36494593 http://dx.doi.org/10.1007/s12033-022-00625-7 |
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