Engineered CRISPR-Cas systems for the detection and control of antibiotic-resistant infections

Abstract Antibiotic resistance is spreading rapidly around the world and seriously impeding efforts to control microbial infections. Although nucleic acid testing is widely deployed for the detection of antibiotic resistant bacteria, the current techniques—mainly based on polymerase chain reaction (...

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Autores principales: Yuye Wu, Dheerendranath Battalapalli, Mohammed J. Hakeem, Venkatarao Selamneni, Pengfei Zhang, Mohamed S. Draz, Zhi Ruan
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Publicado: BMC 2021
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Acceso en línea:https://doaj.org/article/c97523bd5b1c46b88bf5f7f71e07ae36
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spelling oai:doaj.org-article:c97523bd5b1c46b88bf5f7f71e07ae362021-12-05T12:19:07ZEngineered CRISPR-Cas systems for the detection and control of antibiotic-resistant infections10.1186/s12951-021-01132-81477-3155https://doaj.org/article/c97523bd5b1c46b88bf5f7f71e07ae362021-12-01T00:00:00Zhttps://doi.org/10.1186/s12951-021-01132-8https://doaj.org/toc/1477-3155Abstract Antibiotic resistance is spreading rapidly around the world and seriously impeding efforts to control microbial infections. Although nucleic acid testing is widely deployed for the detection of antibiotic resistant bacteria, the current techniques—mainly based on polymerase chain reaction (PCR)—are time-consuming and laborious. There is an urgent need to develop new strategies to control bacterial infections and the spread of antimicrobial resistance (AMR). The CRISPR-Cas system is an adaptive immune system found in many prokaryotes that presents attractive opportunities to target and edit nucleic acids with high precision and reliability. Engineered CRISPR-Cas systems are reported to effectively kill bacteria or even revert bacterial resistance to antibiotics (resensitizing bacterial cells to antibiotics). Strategies for combating antimicrobial resistance using CRISPR (i.e., Cas9, Cas12, Cas13, and Cas14) can be of great significance in detecting bacteria and their resistance to antibiotics. This review discusses the structures, mechanisms, and detection methods of CRISPR-Cas systems and how these systems can be engineered for the rapid and reliable detection of bacteria using various approaches, with a particular focus on nanoparticles. In addition, we summarize the most recent advances in applying the CRISPR-Cas system for virulence modulation of bacterial infections and combating antimicrobial resistance. Graphical AbstractYuye WuDheerendranath BattalapalliMohammed J. HakeemVenkatarao SelamneniPengfei ZhangMohamed S. DrazZhi RuanBMCarticleBacteriaCRISPR-CasAntibiotic resistanceTherapyDetectionDeliveryBiotechnologyTP248.13-248.65Medical technologyR855-855.5ENJournal of Nanobiotechnology, Vol 19, Iss 1, Pp 1-26 (2021)
institution DOAJ
collection DOAJ
language EN
topic Bacteria
CRISPR-Cas
Antibiotic resistance
Therapy
Detection
Delivery
Biotechnology
TP248.13-248.65
Medical technology
R855-855.5
spellingShingle Bacteria
CRISPR-Cas
Antibiotic resistance
Therapy
Detection
Delivery
Biotechnology
TP248.13-248.65
Medical technology
R855-855.5
Yuye Wu
Dheerendranath Battalapalli
Mohammed J. Hakeem
Venkatarao Selamneni
Pengfei Zhang
Mohamed S. Draz
Zhi Ruan
Engineered CRISPR-Cas systems for the detection and control of antibiotic-resistant infections
description Abstract Antibiotic resistance is spreading rapidly around the world and seriously impeding efforts to control microbial infections. Although nucleic acid testing is widely deployed for the detection of antibiotic resistant bacteria, the current techniques—mainly based on polymerase chain reaction (PCR)—are time-consuming and laborious. There is an urgent need to develop new strategies to control bacterial infections and the spread of antimicrobial resistance (AMR). The CRISPR-Cas system is an adaptive immune system found in many prokaryotes that presents attractive opportunities to target and edit nucleic acids with high precision and reliability. Engineered CRISPR-Cas systems are reported to effectively kill bacteria or even revert bacterial resistance to antibiotics (resensitizing bacterial cells to antibiotics). Strategies for combating antimicrobial resistance using CRISPR (i.e., Cas9, Cas12, Cas13, and Cas14) can be of great significance in detecting bacteria and their resistance to antibiotics. This review discusses the structures, mechanisms, and detection methods of CRISPR-Cas systems and how these systems can be engineered for the rapid and reliable detection of bacteria using various approaches, with a particular focus on nanoparticles. In addition, we summarize the most recent advances in applying the CRISPR-Cas system for virulence modulation of bacterial infections and combating antimicrobial resistance. Graphical Abstract
format article
author Yuye Wu
Dheerendranath Battalapalli
Mohammed J. Hakeem
Venkatarao Selamneni
Pengfei Zhang
Mohamed S. Draz
Zhi Ruan
author_facet Yuye Wu
Dheerendranath Battalapalli
Mohammed J. Hakeem
Venkatarao Selamneni
Pengfei Zhang
Mohamed S. Draz
Zhi Ruan
author_sort Yuye Wu
title Engineered CRISPR-Cas systems for the detection and control of antibiotic-resistant infections
title_short Engineered CRISPR-Cas systems for the detection and control of antibiotic-resistant infections
title_full Engineered CRISPR-Cas systems for the detection and control of antibiotic-resistant infections
title_fullStr Engineered CRISPR-Cas systems for the detection and control of antibiotic-resistant infections
title_full_unstemmed Engineered CRISPR-Cas systems for the detection and control of antibiotic-resistant infections
title_sort engineered crispr-cas systems for the detection and control of antibiotic-resistant infections
publisher BMC
publishDate 2021
url https://doaj.org/article/c97523bd5b1c46b88bf5f7f71e07ae36
work_keys_str_mv AT yuyewu engineeredcrisprcassystemsforthedetectionandcontrolofantibioticresistantinfections
AT dheerendranathbattalapalli engineeredcrisprcassystemsforthedetectionandcontrolofantibioticresistantinfections
AT mohammedjhakeem engineeredcrisprcassystemsforthedetectionandcontrolofantibioticresistantinfections
AT venkataraoselamneni engineeredcrisprcassystemsforthedetectionandcontrolofantibioticresistantinfections
AT pengfeizhang engineeredcrisprcassystemsforthedetectionandcontrolofantibioticresistantinfections
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