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Kumar M, Maiti S, Chakraborty D. Capturing nucleic acid variants with precision using CRISPR diagnostics. Biosens Bioelectron 2022; 217:114712. [PMID: 36155952 DOI: 10.1016/j.bios.2022.114712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 09/04/2022] [Accepted: 09/08/2022] [Indexed: 11/02/2022]
Abstract
CRISPR/Cas systems have the ability to precisely target nucleotide sequences and enable their rapid identification and modification. While nucleotide modification has enabled the therapeutic correction of diseases, the process of identifying the target DNA or RNA has greatly expanded the field of molecular diagnostics in recent times. CRISPR-based DNA/RNA detection through programmable nucleic acid binding or cleavage has been demonstrated for a large number of pathogenic and non-pathogenic targets. Combining CRISPR detection with nucleic acid amplification and a terminal signal readout step allowed the development of numerous rapid and robust nucleic acid platforms. Wherever the Cas effector can faithfully distinguish nucleobase variants in the target, the platform can also be extended for sequencing-free rapid variant detection. Some initial PAM disruption-based SNV detection reports were limited to finding or integrating mutated/mismatched nucleotides within the PAM sequences. In this review, we try to summarize the developments made in CRISPR diagnostics (CRISPRDx) to date emphasizing CRISPR-based SNV detection. We also discuss the applications where such diagnostic modalities can be put to use, covering various fields of clinical research, SNV screens, disease genotyping, primary surveillance during microbial infections, agriculture, food safety, and industrial biotechnology. The ease of rapid design and implementation of such multiplexable assays can potentially expand the applications of CRISPRDx in the domain of affinity-based target sequencing, with immense possibilities for low-cost, quick, and widespread usage. In the end, in combination with proximity assays and a suicidal gene approach, CRISPR-based in vivo SNV detection and cancer cell targeting can be formulated as personalized gene therapy.
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Affiliation(s)
- Manoj Kumar
- CSIR-Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India; Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, 201002, India.
| | - Souvik Maiti
- CSIR-Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India; Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Debojyoti Chakraborty
- CSIR-Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India; Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, 201002, India.
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Wan Y, Zong C, Li X, Wang A, Li Y, Yang T, Bao Q, Dubow M, Yang M, Rodrigo LA, Mao C. New Insights for Biosensing: Lessons from Microbial Defense Systems. Chem Rev 2022; 122:8126-8180. [PMID: 35234463 DOI: 10.1021/acs.chemrev.1c01063] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Microorganisms have gained defense systems during the lengthy process of evolution over millions of years. Such defense systems can protect them from being attacked by invading species (e.g., CRISPR-Cas for establishing adaptive immune systems and nanopore-forming toxins as virulence factors) or enable them to adapt to different conditions (e.g., gas vesicles for achieving buoyancy control). These microorganism defense systems (MDS) have inspired the development of biosensors that have received much attention in a wide range of fields including life science research, food safety, and medical diagnosis. This Review comprehensively analyzes biosensing platforms originating from MDS for sensing and imaging biological analytes. We first describe a basic overview of MDS and MDS-inspired biosensing platforms (e.g., CRISPR-Cas systems, nanopore-forming proteins, and gas vesicles), followed by a critical discussion of their functions and properties. We then discuss several transduction mechanisms (optical, acoustic, magnetic, and electrical) involved in MDS-inspired biosensing. We further detail the applications of the MDS-inspired biosensors to detect a variety of analytes (nucleic acids, peptides, proteins, pathogens, cells, small molecules, and metal ions). In the end, we propose the key challenges and future perspectives in seeking new and improved MDS tools that can potentially lead to breakthrough discoveries in developing a new generation of biosensors with a combination of low cost; high sensitivity, accuracy, and precision; and fast detection. Overall, this Review gives a historical review of MDS, elucidates the principles of emulating MDS to develop biosensors, and analyzes the recent advancements, current challenges, and future trends in this field. It provides a unique critical analysis of emulating MDS to develop robust biosensors and discusses the design of such biosensors using elements found in MDS, showing that emulating MDS is a promising approach to conceptually advancing the design of biosensors.
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Affiliation(s)
- Yi Wan
- State Key Laboratory of Marine Resource Utilization in the South China Sea, School of Pharmaceutical Sciences, Marine College, Hainan University, Haikou 570228, P. R. China
| | - Chengli Zong
- State Key Laboratory of Marine Resource Utilization in the South China Sea, School of Pharmaceutical Sciences, Marine College, Hainan University, Haikou 570228, P. R. China
| | - Xiangpeng Li
- Department of Bioengineering and Therapeutic Sciences, Schools of Medicine and Pharmacy, University of California, San Francisco, 1700 Fourth Street, Byers Hall 303C, San Francisco, California 94158, United States
| | - Aimin Wang
- State Key Laboratory of Marine Resource Utilization in the South China Sea, School of Pharmaceutical Sciences, Marine College, Hainan University, Haikou 570228, P. R. China
| | - Yan Li
- College of Animal Science, Zhejiang University, Hangzhou, Zhejiang 310058, P. R. China
| | - Tao Yang
- School of Materials Science and Engineering, Zhejiang University, Hangzhou, Zhejiang 310058, P. R. China
| | - Qing Bao
- School of Materials Science and Engineering, Zhejiang University, Hangzhou, Zhejiang 310058, P. R. China
| | - Michael Dubow
- Institute for Integrative Biology of the Cell (I2BC), UMR 9198 CNRS, CEA, Université Paris-Saclay, Campus C.N.R.S, Bâtiment 12, Avenue de la Terrasse, 91190 Gif-sur-Yvette, France
| | - Mingying Yang
- College of Animal Science, Zhejiang University, Hangzhou, Zhejiang 310058, P. R. China
| | - Ledesma-Amaro Rodrigo
- Imperial College Centre for Synthetic Biology, Department of Bioengineering, Imperial College London, London SW7 2AZ, United Kingdom
| | - Chuanbin Mao
- Department of Chemistry & Biochemistry, Stephenson Life Science Research Center, University of Oklahoma, 101 Stephenson Parkway, Norman, Oklahoma 73019, United States.,School of Materials Science and Engineering, Zhejiang University, Hangzhou, Zhejiang 310058, P. R. China
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