1
|
Shigemori H, Fujita S, Tamiya E, Wakida SI, Nagai H. Solid-Phase Collateral Cleavage System Based on CRISPR/Cas12 and Its Application toward Facile One-Pot Multiplex Double-Stranded DNA Detection. Bioconjug Chem 2023; 34:1754-1765. [PMID: 37782626 PMCID: PMC10587867 DOI: 10.1021/acs.bioconjchem.3c00294] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 08/31/2023] [Indexed: 10/04/2023]
Abstract
The clustered regularly interspaced short palindromic repeat (CRISPR)/CRISPR-associated protein 12 (Cas12) system is attracting interest for its potential as a next-generation nucleic acid detection tool. The system can recognize double-stranded DNA (dsDNA) based on Cas12-CRISPR RNA (crRNA) and induce signal transduction by collateral cleavage. This property is expected to simplify comprehensive genotyping. Here, we report a solid-phase collateral cleavage (SPCC) reaction by CRISPR/Cas12 and its application toward one-pot multiplex dsDNA detection with minimal operational steps. In the sensor, Cas12-crRNA and single-stranded DNA (ssDNA) are immobilized on the sensing surface and act as enzyme and reporter substrates, respectively. We also report a dual-target dsDNA sensor prepared by immobilizing Cas12-crRNA and a fluorophore-labeled ssDNA reporter on separate spots. When a spot captures a target dsDNA sequence, it cleaves the ssDNA reporter on the same spot and reduces its fluorescence by 42.1-57.3%. Crucially, spots targeting different sequences do not show a reduction in fluorescence, thus confirming the one-pot multiplex dsDNA detection by SPCC. Furthermore, the sequence specificity has a two-base resolution, and the detectable concentration for the target dsDNA is at least 10-9 M. In the future, the SPCC-based sensor array could achieve one-pot comprehensive genotyping by using an array spotter as a reagent-immobilizing method.
Collapse
Affiliation(s)
- Hiroki Shigemori
- Advanced
Photonics and Biosensing Open Innovation Laboratory (PhotoBIO-OIL),
National Institute of Advanced Industrial Science and Technology (AIST), Photonics Center Osaka University, 2-1 Yamada-Oka, Suita, Osaka 565-0871, Japan
- Graduate
School of Human Development and Environment, Kobe University, 3-11
Tsurukabuto, Nada-ku, Kobe, Hyogo 657-0011, Japan
| | - Satoshi Fujita
- Advanced
Photonics and Biosensing Open Innovation Laboratory (PhotoBIO-OIL),
National Institute of Advanced Industrial Science and Technology (AIST), Photonics Center Osaka University, 2-1 Yamada-Oka, Suita, Osaka 565-0871, Japan
| | - Eiichi Tamiya
- Advanced
Photonics and Biosensing Open Innovation Laboratory (PhotoBIO-OIL),
National Institute of Advanced Industrial Science and Technology (AIST), Photonics Center Osaka University, 2-1 Yamada-Oka, Suita, Osaka 565-0871, Japan
- Institute
of Scientific and Industrial Research (SANKEN), Osaka University, 8-1
Mihogaoka, Ibaraki, Osaka 567-0047, Japan
| | - Shin-ichi Wakida
- Advanced
Photonics and Biosensing Open Innovation Laboratory (PhotoBIO-OIL),
National Institute of Advanced Industrial Science and Technology (AIST), Photonics Center Osaka University, 2-1 Yamada-Oka, Suita, Osaka 565-0871, Japan
- Institute
of Scientific and Industrial Research (SANKEN), Osaka University, 8-1
Mihogaoka, Ibaraki, Osaka 567-0047, Japan
| | - Hidenori Nagai
- Advanced
Photonics and Biosensing Open Innovation Laboratory (PhotoBIO-OIL),
National Institute of Advanced Industrial Science and Technology (AIST), Photonics Center Osaka University, 2-1 Yamada-Oka, Suita, Osaka 565-0871, Japan
- Graduate
School of Human Development and Environment, Kobe University, 3-11
Tsurukabuto, Nada-ku, Kobe, Hyogo 657-0011, Japan
| |
Collapse
|
2
|
A novel biosensing platform for detection of glaucoma biomarker GDF15 via an integrated BLI-ELASA strategy. Biomaterials 2023; 294:121997. [PMID: 36638554 DOI: 10.1016/j.biomaterials.2023.121997] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 12/26/2022] [Accepted: 01/07/2023] [Indexed: 01/11/2023]
Abstract
Glaucoma is a leading cause of irreversible blindness worldwide. Early discovery and prioritized intervention significantly impact its prognosis. Precise monitoring of the biomarker GDF15 contributes towards effective diagnosis and assessment of glaucoma. In this study, we demonstrate that GDF15 monitoring can also aid screening for glaucoma risk and early diagnosis. We obtained an aptamer (APT2TM) with high affinity, high specificity, and high stability for binding to both human-derived and rat-derived GDF15. Simulation results showed that the binding capabilities of APT2TM are mainly affected by the interplay between van der Waals forces and polar solvation energy, and that salt bridges and hydrogen bonds play critical roles. We then integrated an enzyme-linked aptamer sandwich assay (ELASA) into a biolayer interferometry (BLI) system to develop an automated, high-throughput, real-time monitoring BLI-ELASA biosensing platform. This platform exhibited a wide linear detection window (10-810 pg/mL range) and high sensitivity for GDF15 (detection limit of 5-6 pg/mL). Moreover, we confirmed its excellent performance when applied to GDF15 quantification in real samples from glaucomatous rats and clinical patients. We believe that this technology represents a robust, convenient, and cost-effective approach for risk screening, early diagnosis, and animal modeling evaluation of glaucoma in the near future.
Collapse
|
3
|
Gao S, Li Q, Zhang S, Sun X, Zheng X, Qian H, Wu J. One-step high-throughput detection of low-abundance biomarker BDNF using a biolayer interferometry-based 3D aptasensor. Biosens Bioelectron 2022; 215:114566. [PMID: 35863136 DOI: 10.1016/j.bios.2022.114566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 06/26/2022] [Accepted: 07/08/2022] [Indexed: 11/15/2022]
Abstract
Although biosensors for signal monitoring have been extensively developed, their application in one-step high-throughput detection of low-abundance disease biomarkers remains challenging. This study presents a 3D aptasensor based on a biolayer interferometry (BLI) technique, followed by the sensitive and rapid detection of the specific biomarker brain-derived neurotrophic factor (BDNF) for early screening of glaucoma, an irreversible disease that causes blindness. The developed 3D aptasensor enabled one-step batch conversion of the low-abundance biomarker BDNF binding into optical interference signal, which was mainly attributed to the following factors: (1) A dimeric aptamer with extremely high targeting affinity was constructed as a biorecognition molecule, (2) highly sensitive 3D matrix sensors were integrated as signal transduction elements, and (3) the BLI Octet system with automated, high-throughput, and real-time online monitoring capabilities was used for reporting. The 3D aptasensor exhibited a broad detection window from 0.41 to 250 ng/mL BDNF, with a limit of detection of 0.2 ng/mL. Furthermore, detection of BDNF in glaucoma patient serum using the aptasensor showed good agreement with ELISA findings as well as the clinical diagnosis of the patient, demonstrating the feasibility of the system as a screening tool for glaucoma. This one-step high-throughput screening approach provides a valuable solution for the early diagnosis of glaucoma and may reduce the risk of blindness in visually impaired people.
Collapse
Affiliation(s)
- Shunxiang Gao
- Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, 200031, China; NHC Key Laboratory of Myopia (Fudan University), Key Laboratory of Myopia, Chinese Academy of Medical Sciences, Shanghai Key Laboratory of Visual Impairment and Restoration, Shanghai, 200031, China; State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai, 200032, China
| | - Qian Li
- Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, 200031, China; NHC Key Laboratory of Myopia (Fudan University), Key Laboratory of Myopia, Chinese Academy of Medical Sciences, Shanghai Key Laboratory of Visual Impairment and Restoration, Shanghai, 200031, China
| | - Shenghai Zhang
- Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, 200031, China; NHC Key Laboratory of Myopia (Fudan University), Key Laboratory of Myopia, Chinese Academy of Medical Sciences, Shanghai Key Laboratory of Visual Impairment and Restoration, Shanghai, 200031, China
| | - Xinghuai Sun
- Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, 200031, China; NHC Key Laboratory of Myopia (Fudan University), Key Laboratory of Myopia, Chinese Academy of Medical Sciences, Shanghai Key Laboratory of Visual Impairment and Restoration, Shanghai, 200031, China; State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai, 200032, China
| | - Xin Zheng
- Department of Laboratory Medicine, LongHua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China.
| | - Husun Qian
- Department of Laboratory Medicine, The Affiliated Hospital of Zunyi Medical University, Zunyi, 563003, China.
| | - Jihong Wu
- Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, 200031, China; NHC Key Laboratory of Myopia (Fudan University), Key Laboratory of Myopia, Chinese Academy of Medical Sciences, Shanghai Key Laboratory of Visual Impairment and Restoration, Shanghai, 200031, China.
| |
Collapse
|
4
|
Li Y, Man S, Ye S, Liu G, Ma L. CRISPR-Cas-based detection for food safety problems: Current status, challenges, and opportunities. Compr Rev Food Sci Food Saf 2022; 21:3770-3798. [PMID: 35796408 DOI: 10.1111/1541-4337.13000] [Citation(s) in RCA: 39] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 05/23/2022] [Accepted: 05/26/2022] [Indexed: 12/12/2022]
Abstract
Food safety is one of the biggest public issues occurring around the world. Microbiological, chemical, and physical hazards can lead to food safety issues, which may occur at all stages of the supply chain. In order to tackle food safety issues and safeguard consumer health, rapid, accurate, specific, and field-deployable detection methods meeting diverse requirements are one of the imperative measures for food safety assurance. CRISPR-Cas system, a newly emerging technology, has been successfully repurposed in biosensing and has demonstrated huge potential to establish conceptually novel detection methods with high sensitivity and specificity. This review focuses on CRISPR-Cas-based detection and its current status and huge potential specifically for food safety inspection. We firstly illustrate the pending problems in food safety and summarize the popular detection methods. We then describe the potential applications of CRISPR-Cas-based detection in food safety inspection. Finally, the challenges and futuristic opportunities are proposed and discussed. Generally speaking, the current food safety detection methods are still unsatisfactory in some ways such as being time-consuming, displaying unmet sensitivity and specificity standards, and there is a comparative paucity of multiplexed testing and POCT. Recent studies have shown that CRISPR-Cas-based biosensing is an innovative and fast-expanding technology, which could make up for the shortcomings of the existing methods or even replace them. To sum up, the implementation of CRISPR-Cas and the integration of CRISPR-Cas with other techniques is promising and desirable, which is expected to provide "customized" and "smart" detection methods for food safety inspection in the coming future.
Collapse
Affiliation(s)
- Yaru Li
- State Key Laboratory of Food Nutrition and Safety, Key Laboratory of Industrial Microbiology, Ministry of Education, Tianjin Key Laboratory of Industry Microbiology, National and Local United Engineering Lab of Metabolic Control Fermentation Technology, China International Science and Technology Cooperation Base of Food Nutrition/Safety and Medicinal Chemistry, College of Biotechnology, Tianjin University of Science & Technology, Tianjin, China
| | - Shuli Man
- State Key Laboratory of Food Nutrition and Safety, Key Laboratory of Industrial Microbiology, Ministry of Education, Tianjin Key Laboratory of Industry Microbiology, National and Local United Engineering Lab of Metabolic Control Fermentation Technology, China International Science and Technology Cooperation Base of Food Nutrition/Safety and Medicinal Chemistry, College of Biotechnology, Tianjin University of Science & Technology, Tianjin, China
| | - Shengying Ye
- Pharmacy Department, The 983th Hospital of the Joint Logistics Support Force of the Chinese People's Liberation Army, Tianjin, China
| | - Guozhen Liu
- School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, China
| | - Long Ma
- State Key Laboratory of Food Nutrition and Safety, Key Laboratory of Industrial Microbiology, Ministry of Education, Tianjin Key Laboratory of Industry Microbiology, National and Local United Engineering Lab of Metabolic Control Fermentation Technology, China International Science and Technology Cooperation Base of Food Nutrition/Safety and Medicinal Chemistry, College of Biotechnology, Tianjin University of Science & Technology, Tianjin, China
| |
Collapse
|