Methods, volume 203, pages 431-446
CRISPR-Cas systems for diagnosing infectious diseases
Brezgin Sergey
1, 2
,
Babin Yuriy
1
,
Vasilyeva I N
1
,
Glebe Dieter
3
,
Kostyushev Dmitry
1, 4
,
Chulanov Vladimir
1, 5
1
National Medical Research Center of Tuberculosis and Infectious Diseases, Ministry of Health, Moscow, Russia
|
3
Institute of Medical Virology, University of Giessen, Giessen, Germany
|
Publication type: Journal Article
Publication date: 2022-07-01
PubMed ID:
33839288
General Biochemistry, Genetics and Molecular Biology
Molecular Biology
Abstract
Infectious diseases are a global health problem affecting billions of people. Developing rapid and sensitive diagnostic tools is key for successful patient management and curbing disease spread. Currently available diagnostics are very specific and sensitive but time-consuming and require expensive laboratory settings and well-trained personnel; thus, they are not available in resource-limited areas, for the purposes of large-scale screenings and in case of outbreaks and epidemics. Developing new, rapid, and affordable point-of-care diagnostic assays is urgently needed. This review focuses on CRISPR-based technologies and their perspectives to become platforms for point-of-care nucleic acid detection methods and as deployable diagnostic platforms that could help to identify and curb outbreaks and emerging epidemics. We describe the mechanisms and function of different classes and types of CRISPR-Cas systems, including pros and cons for developing molecular diagnostic tests and applications of each type to detect a wide range of infectious agents. Many Cas proteins (Cas3, Cas9, Cas12, Cas13, Cas14 etc.) have been leveraged to create highly accurate and sensitive diagnostic tools combined with technologies of signal amplification and fluorescent, potentiometric, colorimetric, lateral flow assay detection and other. In particular, the most advanced platforms -- SHERLOCK/v2, DETECTR, CARMEN or CRISPR-Chip -- enable detection of attomolar amounts of pathogenic nucleic acids with specificity comparable to that of PCR but with minimal technical settings. Further developing CRISPR-based diagnostic tools promises to dramatically transform molecular diagnostics, making them easily affordable and accessible virtually anywhere in the world. The burden of socially significant diseases, frequent outbreaks, recent epidemics (MERS, SARS and the ongoing COVID-19) and outbreaks of zoonotic viruses (African Swine Fever Virus etc.) urgently need the developing and distribution of express-diagnostic tools. Recently devised CRISPR-technologies represent the unprecedented opportunity to reshape epidemiological surveillance and molecular diagnostics.
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- We do not take into account publications that without a DOI.
- Statistics recalculated only for publications connected to researchers, organizations and labs registered on the platform.
- Statistics recalculated weekly.
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Kostyusheva A. et al. CRISPR-Cas systems for diagnosing infectious diseases // Methods. 2022. Vol. 203. pp. 431-446.
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Kostyusheva A., Brezgin S., Babin Y., Vasilyeva I. N., Glebe D., Kostyushev D., Chulanov V. CRISPR-Cas systems for diagnosing infectious diseases // Methods. 2022. Vol. 203. pp. 431-446.
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TY - JOUR
DO - 10.1016/j.ymeth.2021.04.007
UR - https://doi.org/10.1016%2Fj.ymeth.2021.04.007
TI - CRISPR-Cas systems for diagnosing infectious diseases
T2 - Methods
AU - Kostyusheva, Anastasiya
AU - Brezgin, Sergey
AU - Babin, Yuriy
AU - Vasilyeva, I N
AU - Glebe, Dieter
AU - Kostyushev, Dmitry
AU - Chulanov, Vladimir
PY - 2022
DA - 2022/07/01 00:00:00
PB - Elsevier
SP - 431-446
VL - 203
PMID - 33839288
SN - 1046-2023
SN - 1095-9130
ER -
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@article{2022_Kostyusheva,
author = {Anastasiya Kostyusheva and Sergey Brezgin and Yuriy Babin and I N Vasilyeva and Dieter Glebe and Dmitry Kostyushev and Vladimir Chulanov},
title = {CRISPR-Cas systems for diagnosing infectious diseases},
journal = {Methods},
year = {2022},
volume = {203},
publisher = {Elsevier},
month = {jul},
url = {https://doi.org/10.1016%2Fj.ymeth.2021.04.007},
pages = {431--446},
doi = {10.1016/j.ymeth.2021.04.007}
}