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Nava G, Carzaniga T, Casiraghi L, Bot E, Zanchetta G, Damin F, Chiari M, Weber G, Bellini T, Mollica L, Buscaglia M. Weak-cooperative binding of a long single-stranded DNA chain on a surface. Nucleic Acids Res 2024; 52:8661-8674. [PMID: 38989620 PMCID: PMC11347152 DOI: 10.1093/nar/gkae576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Revised: 06/04/2024] [Accepted: 06/20/2024] [Indexed: 07/12/2024] Open
Abstract
Binding gene-wide single-stranded nucleic acids to surface-immobilized complementary probes is an important but challenging process for biophysical studies and diagnostic applications. The challenge comes from the conformational dynamics of the long chain that affects its accessibility and weakens its hybridization to the probes. We investigated the binding of bacteriophage genome M13mp18 on several different 20-mer probes immobilized on the surface of a multi-spot, label-free biosensor, and observed that only a few of them display strong binding capability with dissociation constant as low as 10 pM. Comparing experimental data and computational analysis of the M13mp18 chain structural features, we found that the capturing performance of a specific probe is directly related to the multiplicity of binding sites on the genomic strand, and poorly connected with the predicted secondary and tertiary structure. We show that a model of weak cooperativity of transient bonds is compatible with the measured binding kinetics and accounts for the enhancement of probe capturing observed when more than 20 partial pairings with binding free energy lower than -10 kcal mol-1 are present. This mechanism provides a specific pattern of response of a genomic strand on a panel of properly selected oligomer probe sequences.
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Affiliation(s)
- Giovanni Nava
- Department of Medical Biotechnology and Translational Medicine, Università degli Studi di Milano, via F.lli Cervi 93, 20054 Segrate (MI), Italy
| | - Thomas Carzaniga
- Department of Medical Biotechnology and Translational Medicine, Università degli Studi di Milano, via F.lli Cervi 93, 20054 Segrate (MI), Italy
| | - Luca Casiraghi
- Department of Medical Biotechnology and Translational Medicine, Università degli Studi di Milano, via F.lli Cervi 93, 20054 Segrate (MI), Italy
| | - Erik Bot
- Department of Medical Biotechnology and Translational Medicine, Università degli Studi di Milano, via F.lli Cervi 93, 20054 Segrate (MI), Italy
| | - Giuliano Zanchetta
- Department of Medical Biotechnology and Translational Medicine, Università degli Studi di Milano, via F.lli Cervi 93, 20054 Segrate (MI), Italy
| | - Francesco Damin
- Istituto di Scienze e Tecnologie Chimiche ‘Giulio Natta’, National Research Council of Italy (SCITEC-CNR), via Mario Bianco 11, 20131 Milano, Italy
| | - Marcella Chiari
- Istituto di Scienze e Tecnologie Chimiche ‘Giulio Natta’, National Research Council of Italy (SCITEC-CNR), via Mario Bianco 11, 20131 Milano, Italy
| | - Gerald Weber
- Departamento de Física, Universidade Federal de Minas Gerais, 31270-901 Belo Horizonte, MG, Brazil
| | - Tommaso Bellini
- Department of Medical Biotechnology and Translational Medicine, Università degli Studi di Milano, via F.lli Cervi 93, 20054 Segrate (MI), Italy
| | - Luca Mollica
- Department of Medical Biotechnology and Translational Medicine, Università degli Studi di Milano, via F.lli Cervi 93, 20054 Segrate (MI), Italy
| | - Marco Buscaglia
- Department of Medical Biotechnology and Translational Medicine, Università degli Studi di Milano, via F.lli Cervi 93, 20054 Segrate (MI), Italy
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He Q, Chen Q, Lian L, Qu J, Yuan X, Wang C, Xu L, Wei J, Zeng S, Yu D, Dong Y, Zhang Y, Deng L, Du K, Zhang C, Pandey V, Gul I, Qin P. Unraveling the influence of CRISPR/Cas13a reaction components on enhancing trans-cleavage activity for ultrasensitive on-chip RNA detection. Mikrochim Acta 2024; 191:466. [PMID: 39017814 DOI: 10.1007/s00604-024-06545-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 07/02/2024] [Indexed: 07/18/2024]
Abstract
The CRISPR/Cas13 nucleases have been widely documented for nucleic acid detection. Understanding the intricacies of CRISPR/Cas13's reaction components is pivotal for harnessing its full potential for biosensing applications. Herein, we report on the influence of CRISPR/Cas13a reaction components on its trans-cleavage activity and the development of an on-chip total internal reflection fluorescence microscopy (TIRFM)-powered RNA sensing system. We used SARS-CoV-2 synthetic RNA and pseudovirus as a model system. Our results show that optimizing Mg2+ concentration, reporter length, and crRNA combination significantly improves the detection sensitivity. Under optimized conditions, we detected 100 fM unamplified SARS-CoV-2 synthetic RNA using a microtiter plate reader. To further improve sensitivity and provide a new amplification-free RNA sensing toolbox, we developed a TIRFM-based amplification-free RNA sensing system. We were able to detect RNA down to 100 aM. Furthermore, the TIRM-based detection system developed in this study is 1000-fold more sensitive than the off-coverslip assay. The possible clinical applicability of the system was demonstrated by detecting SARS-CoV-2 pseudovirus RNA. Our proposed sensing system has the potential to detect any target RNA with slight modifications to the existing setup, providing a universal RNA detection platform.
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Affiliation(s)
- Qian He
- School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, 310018, Zhejiang, China
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, Guangdong Province, China
| | - Qun Chen
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, Guangdong Province, China
| | - Lijin Lian
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, Guangdong Province, China
| | - Jiuxin Qu
- Clinical Laboratory, Shenzhen Third People's Hospital, Shenzhen, 518115, Guangdong Province, China
| | - Xi Yuan
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, Guangdong Province, China
| | - Chuhui Wang
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, Guangdong Province, China
| | - Lidan Xu
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, Guangdong Province, China
- Laboratory of Medical Genetics, Harbin Medical University, Harbin, 150081, China
| | - Jiazhang Wei
- Department of Otolaryngology & Head and Neck, The People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, 6 Taoyuan Road, Nanning, 530021, China
| | - Shaoling Zeng
- Animal and Plant Inspection and Quarantine Technology Center, Shenzhen Customs, Shenzhen, 518010, Guangdong Province, China
| | - Dongmei Yu
- School of Mechanical, Electrical & Information Engineering, Shandong University, Weihai, 264209, Shandong, China
| | - Yuhan Dong
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, Guangdong Province, China
| | - Yongbing Zhang
- Harbin Institute of Technology (Shenzhen), Shenzhen, 518055, China
| | - Lin Deng
- Institute of Molecular Physiology, Shenzhen Bay Laboratory, Shenzhen, 518132, China
| | - Ke Du
- Chemical and Environmental Engineering, University of California, Riverside, USA
| | - Canyang Zhang
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, Guangdong Province, China
| | - Vijay Pandey
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, Guangdong Province, China
| | - Ijaz Gul
- School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, 310018, Zhejiang, China.
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, Guangdong Province, China.
| | - Peiwu Qin
- School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, 310018, Zhejiang, China.
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, Guangdong Province, China.
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Cerdeira Ferreira LM, Lima D, Marcolino-Junior LH, Bergamini MF, Kuss S, Campanhã Vicentini F. Cutting-edge biorecognition strategies to boost the detection performance of COVID-19 electrochemical biosensors: A review. Bioelectrochemistry 2024; 157:108632. [PMID: 38181592 DOI: 10.1016/j.bioelechem.2023.108632] [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: 08/17/2023] [Revised: 12/16/2023] [Accepted: 12/19/2023] [Indexed: 01/07/2024]
Abstract
Electrochemical biosensors are known for their high sensitivity, selectivity, and low cost. Recently, they have gained significant attention and became particularly important as promising tools for the detection of COVID-19 biomarkers, since they offer a rapid and accurate means of diagnosis. Biorecognition strategies are a crucial component of electrochemical biosensors and determine their specificity and sensitivity based on the interaction of biological molecules, such as antibodies, enzymes, and DNA, with target analytes (e.g., viral particles, proteins and genetic material) to create a measurable signal. Different biorecognition strategies have been developed to enhance the performance of electrochemical biosensors, including direct, competitive, and sandwich binding, alongside nucleic acid hybridization mechanisms and gene editing systems. In this review article, we present the different strategies used in electrochemical biosensors to target SARS-CoV-2 and other COVID-19 biomarkers, as well as explore the advantages and disadvantages of each strategy and highlight recent progress in this field. Additionally, we discuss the challenges associated with developing electrochemical biosensors for clinical COVID-19 diagnosis and their widespread commercialization.
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Affiliation(s)
- Luís Marcos Cerdeira Ferreira
- Center of Nature Sciences, Federal University of São Carlos, Rod. Lauri Simões de Barros km 12, 18290-000, Buri, SP, Brazil; Laboratory of Electrochemical Sensors (LabSensE) Department of Chemistry, Federal University of Paraná, 81.531-980, Curitiba, PR, Brazil
| | - Dhésmon Lima
- Laboratory for Bioanalytics and Electrochemical Sensing (LBES), Department of Chemistry, University of Manitoba, 144 Dysart Road, Winnipeg, MB, R3T 2N2, Canada.
| | - Luiz Humberto Marcolino-Junior
- Laboratory of Electrochemical Sensors (LabSensE) Department of Chemistry, Federal University of Paraná, 81.531-980, Curitiba, PR, Brazil
| | - Marcio Fernando Bergamini
- Laboratory of Electrochemical Sensors (LabSensE) Department of Chemistry, Federal University of Paraná, 81.531-980, Curitiba, PR, Brazil
| | - Sabine Kuss
- Laboratory for Bioanalytics and Electrochemical Sensing (LBES), Department of Chemistry, University of Manitoba, 144 Dysart Road, Winnipeg, MB, R3T 2N2, Canada
| | - Fernando Campanhã Vicentini
- Center of Nature Sciences, Federal University of São Carlos, Rod. Lauri Simões de Barros km 12, 18290-000, Buri, SP, Brazil.
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