1
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Xing X, Zhao Y, Zhao H, Zhang Y, Chen Z, Liu B, Ren B. Label-Free Detection of DNA Base Mutation and Hybridized DNA by an Electrostatically Modified 3D Plasmonic Array. ACS Sens 2024; 9:4119-4126. [PMID: 39039996 DOI: 10.1021/acssensors.4c01060] [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] [Indexed: 07/24/2024]
Abstract
Surface-enhanced Raman scattering (SERS) represents a promising avenue for DNA detection as it offers intrinsic chemical insights with high sensitivity compared to conventional methods. However, label-free and quantitative detection of unmodified DNA by SERS remains a major challenge in DNA analysis. To overcome this challenge, we propose a positively charged plasmonic nanosurface for DNA capture and quantitative analysis. Highly sensitive and uniform SERS enhancement was realized by a three-dimensional plasmonic array supporting well-designed hybrid plasmonic modes. Subsequently, the plasmonic array was modified with an electrostatically functionalized PDDA (poly(diene-dimethylammonium-chloride)) self-assembled monolayer in a single step. The effectiveness of the resulting PDDA-SERS substrate was demonstrated by the label-free and quantitative detection of base content and base mutation in hybridized DNA. The PDDA-SERS substrate provides a robust platform for SERS analysis not only of DNA but also of other electronegative analytes.
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Affiliation(s)
- Xiaolu Xing
- College of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou 730000, China
| | - Yuhao Zhao
- The First Clinical Medical College of Lanzhou University, Lanzhou 730000, China
| | - Haiyan Zhao
- The First Clinical Medical College of Lanzhou University, Lanzhou 730000, China
| | - Ying Zhang
- College of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou 730000, China
| | - Ziqiu Chen
- College of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou 730000, China
| | - Bowen Liu
- College of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou 730000, China
| | - Bin Ren
- State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials (iChEM), The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
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2
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Lu J, Han Y, Wu Y, Wang K, Yang J, Miao P, Li G. Simplified Electrochemical Approach for End-Point Yet Quantitative Detection of Nucleic Acids in Resource-Limited Settings. ACS Sens 2024; 9:4098-4106. [PMID: 39033535 DOI: 10.1021/acssensors.4c01025] [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] [Indexed: 07/23/2024]
Abstract
Nucleic acid detection plays a crucial role in various aspects of health care, necessitating accessible and reliable quantification methods, especially in resource-limited settings. This work presents a simplified electrochemical approach for end-point yet quantitative nucleic acid detection. By elevating the concentration of redox species and choosing potential as the signals, we achieved enhanced signal robustness, even in the presence of interfering substances. Leveraging this robustness, we accurately measured pH-induced redox potential changes in methylene blue solution for end-point nucleic acid detection after loop-mediated isothermal amplification (LAMP). Our method demonstrated quantitative detection of the SARS-CoV-2 N gene and human ATCB gene and successful discrimination of the human BRAF V600E mutation, comparable in sensitivity to commercial kits. The developed user-friendly electrochemical method offers a simplified and reliable approach for end-point yet quantitative detection of nucleic acids, potentially expanding the benefits of nucleic acid testing in resource-limited settings.
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Affiliation(s)
- Jianyang Lu
- State Key Laboratory of Analytical Chemistry for Life Science, School of Life Sciences, Nanjing University, Nanjing 210023, P. R. China
| | - Yiwei Han
- State Key Laboratory of Analytical Chemistry for Life Science, School of Life Sciences, Nanjing University, Nanjing 210023, P. R. China
| | - Yanbing Wu
- State Key Laboratory of Analytical Chemistry for Life Science, School of Life Sciences, Nanjing University, Nanjing 210023, P. R. China
| | - Kaizhi Wang
- State Key Laboratory of Analytical Chemistry for Life Science, School of Life Sciences, Nanjing University, Nanjing 210023, P. R. China
| | - Jie Yang
- State Key Laboratory of Analytical Chemistry for Life Science, School of Life Sciences, Nanjing University, Nanjing 210023, P. R. China
| | - Peng Miao
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, P. R. China
| | - Genxi Li
- State Key Laboratory of Analytical Chemistry for Life Science, School of Life Sciences, Nanjing University, Nanjing 210023, P. R. China
- Center for Molecular Recognition and Biosensing, School of Life Sciences, Shanghai University, Shanghai 200444, P. R. China
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3
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Xiang Z, Lu J, Ming Y, Guo W, Chen X, Sun W. Engineering of a DNA/γPNA Hybrid Nanoreporter for ctDNA Mutation Detection via γPNA Urinalysis. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024:e2310225. [PMID: 38958527 DOI: 10.1002/advs.202310225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Revised: 06/19/2024] [Indexed: 07/04/2024]
Abstract
Detection of circulating tumor DNA (ctDNA) mutations, which are molecular biomarkers present in bodily fluids of cancer patients, can be applied for tumor diagnosis and prognosis monitoring. However, current profiling of ctDNA mutations relies primarily on polymerase chain reaction (PCR) and DNA sequencing and these techniques require preanalytical processing of blood samples, which are time-consuming, expensive, and tedious procedures that increase the risk of sample contamination. To overcome these limitations, here the engineering of a DNA/γPNA (gamma peptide nucleic acid) hybrid nanoreporter is disclosed for ctDNA biosensing via in situ profiling and recording of tumor-specific DNA mutations. The low tolerance of γPNA to single mismatch in base pairing with DNA allows highly selective recognition and recording of ctDNA mutations in peripheral blood. Owing to their remarkable biostability, the detached γPNA strands triggered by mutant ctDNA will be enriched in kidneys and cleared into urine for urinalysis. It is demonstrated that the nanoreporter has high specificity for ctDNA mutation in peripheral blood, and urinalysis of cleared γPNA can provide valuable information for tumor progression and prognosis evaluation. This work demonstrates the potential of the nanoreporter for urinary monitoring of tumor and patient prognosis through in situ biosensing of ctDNA mutations.
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Affiliation(s)
- Zhichu Xiang
- Department of Gastrointestinal Surgery, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou Medical University, Wenzhou, 325027, China
- Departments of Diagnostic Radiology, Surgery, Chemical and Biomolecular Engineering, and Biomedical Engineering, Yong Loo Lin School of Medicine and College of Design and Engineering, National University of Singapore, Singapore, 119074, Singapore
| | - Jianhua Lu
- Department of Gastrointestinal Surgery, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou Medical University, Wenzhou, 325027, China
| | - Yang Ming
- Departments of Diagnostic Radiology, Surgery, Chemical and Biomolecular Engineering, and Biomedical Engineering, Yong Loo Lin School of Medicine and College of Design and Engineering, National University of Singapore, Singapore, 119074, Singapore
| | - Weisheng Guo
- Department of Minimally Invasive Interventional Radiology, The State Key Laboratory of Respiratory Disease, School of Biomedical Engineering & The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510260, China
| | - Xiaoyuan Chen
- Departments of Diagnostic Radiology, Surgery, Chemical and Biomolecular Engineering, and Biomedical Engineering, Yong Loo Lin School of Medicine and College of Design and Engineering, National University of Singapore, Singapore, 119074, Singapore
- Clinical Imaging Research Centre, Centre for Translational Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117599, Singapore
- Nanomedicine Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597, Singapore
- Theranostics Center of Excellence (TCE), Yong Loo Lin School of Medicine, National University of Singapore, 11 Biopolis Way, Helios, Singapore, 138667, Singapore
- Institute of Molecular and Cell Biology, Agency for Science, Technology, and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Singapore
| | - Weijian Sun
- Department of Gastrointestinal Surgery, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou Medical University, Wenzhou, 325027, China
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4
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Ming T, Lan T, Yu M, Cheng S, Duan X, Wang H, Deng J, Kong D, Yang S, Shen Z. Advancements in Biosensors for Point-of-Care Testing of Nucleic Acid. Crit Rev Anal Chem 2024:1-16. [PMID: 38889541 DOI: 10.1080/10408347.2024.2366943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/20/2024]
Abstract
Rapid, low-cost and high-specific diagnosis based on nucleic acid detection is pivotal in both detecting and controlling various infectious diseases, effectively curbing their spread. Moreover, the analysis of circulating DNA in whole blood has emerged as a promising noninvasive strategy for cancer diagnosis and monitoring. Although traditional nucleic acid detection methods are reliable, their time-consuming and intricate processes restrict their application in rapid field assays. Consequently, an urgent emphasis on point-of-care testing (POCT) of nucleic acids has arisen. POCT enables timely and efficient detection of specific sequences, acting as a deterrent against infection sources and potential tumor threats. To address this imperative need, it is essential to consolidate key aspects and chart future directions in POCT biosensors development. This review aims to provide an exhaustive and meticulous analysis of recent advancements in POCT devices for nucleic acid diagnosis. It will comprehensively compare these devices across crucial dimensions, encompassing their integrated structures, the synthesized nanomaterials harnessed, and the sophisticated detection principles employed. By conducting a rigorous evaluation of the current research landscape, this review will not only spotlight achievements but also identify limitations, offering valuable insights into the future trajectory of nucleic acid POCT biosensors. Through this comprehensive analysis, the review aspires to serve as an indispensable guide for fostering the development of more potent biosensors, consequently fostering precise and efficient POCT applications for nucleic acids.
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Affiliation(s)
- Tao Ming
- Institute of Transplantation Medicine, School of Medicine, Nankai University, Tianjin, China
| | - Tingting Lan
- Institute of Transplantation Medicine, School of Medicine, Nankai University, Tianjin, China
| | - Mingxing Yu
- Institute of Transplantation Medicine, School of Medicine, Nankai University, Tianjin, China
| | - Shuhan Cheng
- Institute of Transplantation Medicine, School of Medicine, Nankai University, Tianjin, China
| | - Xu Duan
- Institute of Transplantation Medicine, School of Medicine, Nankai University, Tianjin, China
| | - Hong Wang
- Institute of Biomedical Engineering, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Juan Deng
- Institute of Biomedical Engineering, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Deling Kong
- Institute of Transplantation Medicine, School of Medicine, Nankai University, Tianjin, China
| | - Shuang Yang
- Institute of Transplantation Medicine, School of Medicine, Nankai University, Tianjin, China
| | - Zhongyang Shen
- Institute of Transplantation Medicine, School of Medicine, Nankai University, Tianjin, China
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5
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Park BC, Soh JO, Choi HJ, Park HS, Lee SM, Fu HE, Kim MS, Ko MJ, Koo TM, Lee JY, Kim YK, Lee JH. Ultrasensitive and Rapid Circulating Tumor DNA Liquid Biopsy Using Surface-Confined Gene Amplification on Dispersible Magnetic Nano-Electrodes. ACS NANO 2024; 18:12781-12794. [PMID: 38733343 DOI: 10.1021/acsnano.3c12266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/13/2024]
Abstract
Circulating tumor DNA (ctDNA) detection has been acknowledged as a promising liquid biopsy approach for cancer diagnosis, with various ctDNA assays used for early detection and treatment monitoring. Dispersible magnetic nanoparticle-based electrochemical detection methods have been proposed as promising candidates for ctDNA detection based on the detection performance and features of the platform material. This study proposes a nanoparticle surface-localized genetic amplification approach by integrating Fe3O4-Au core-shell nanoparticles into polymerase chain reactions (PCR). These highly dispersible and magnetically responsive superparamagnetic nanoparticles act as nano-electrodes that amplify and accumulate target ctDNA in situ on the nanoparticle surface upon PCR amplification. These nanoparticles are subsequently captured and subjected to repetitive electrochemical measurements to induce reconfiguration-mediated signal amplification for ultrasensitive (∼3 aM) and rapid (∼7 min) metastatic breast cancer ctDNA detection in vitro. The detection platform can also detect metastatic biomarkers from in vivo samples, highlighting the potential for clinical applications and further expansion to rapid and ultrasensitive multiplex detection of various cancers.
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Affiliation(s)
- Bum Chul Park
- Department of Chemical Engineering, University of Michigan, Ann Arbor, Michigan 48109-2136, United States
| | - Jeong Ook Soh
- Department of Bionano Engineering, Hanyang University, Ansan 15588, Republic of Korea
- Center for Bionano Intelligence Education and Research, Hanyang University, Ansan 15588, Republic of Korea
| | - Hee-Joo Choi
- Department of Pathology, Hanyang University, Seoul 04763, Republic of Korea
- Hanyang Institute of Bioscience and Biotechnology (HY-IBB), Hanyang University, Seoul 04763, Republic of Korea
- Hanyang Biomedical Research Institute (HBRI), Hanyang University, Seoul 04763, Republic of Korea
| | - Hyeon Su Park
- Department of Materials Science and Engineering, Korea University, Seoul 02841, Republic of Korea
| | - Sang Min Lee
- Department of Bionano Engineering, Hanyang University, Ansan 15588, Republic of Korea
- Center for Bionano Intelligence Education and Research, Hanyang University, Ansan 15588, Republic of Korea
| | - Hong En Fu
- Department of Materials Science and Engineering, Korea University, Seoul 02841, Republic of Korea
| | - Myeong Soo Kim
- Department of Materials Science and Engineering, Korea University, Seoul 02841, Republic of Korea
| | - Min Jun Ko
- Department of Radiology, Northwestern University, Chicago, Illinois 60611, United States
| | - Thomas Myeongseok Koo
- Department of Materials Science and Engineering, Korea University, Seoul 02841, Republic of Korea
| | - Jeong-Yeon Lee
- Department of Pathology, Hanyang University, Seoul 04763, Republic of Korea
- Hanyang Institute of Bioscience and Biotechnology (HY-IBB), Hanyang University, Seoul 04763, Republic of Korea
| | - Young Keun Kim
- Department of Materials Science and Engineering, Korea University, Seoul 02841, Republic of Korea
- Brain Korea Center for Smart Materials and Devices, Korea University, Seoul 02841, Republic of Korea
| | - Ju Hun Lee
- Department of Bionano Engineering, Hanyang University, Ansan 15588, Republic of Korea
- Center for Bionano Intelligence Education and Research, Hanyang University, Ansan 15588, Republic of Korea
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6
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Sen P, Zhang Z, Sakib S, Gu J, Li W, Adhikari BR, Motsenyat A, L'Heureux-Hache J, Ang JC, Panesar G, Salena BJ, Yamamura D, Miller MS, Li Y, Soleymani L. High-Precision Viral Detection Using Electrochemical Kinetic Profiling of Aptamer-Antigen Recognition in Clinical Samples and Machine Learning. Angew Chem Int Ed Engl 2024; 63:e202400413. [PMID: 38458987 DOI: 10.1002/anie.202400413] [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: 01/07/2024] [Revised: 03/05/2024] [Accepted: 03/08/2024] [Indexed: 03/10/2024]
Abstract
High-precision viral detection at point of need with clinical samples plays a pivotal role in the diagnosis of infectious diseases and the control of a global pandemic. However, the complexity of clinical samples that often contain very low viral concentrations makes it a huge challenge to develop simple diagnostic devices that do not require any sample processing and yet are capable of meeting performance metrics such as very high sensitivity and specificity. Herein we describe a new single-pot and single-step electrochemical method that uses real-time kinetic profiling of the interaction between a high-affinity aptamer and an antigen on a viral surface. This method generates many data points per sample, which when combined with machine learning, can deliver highly accurate test results in a short testing time. We demonstrate this concept using both SARS-CoV-2 and Influenza A viruses as model viruses with specifically engineered high-affinity aptamers. Utilizing this technique to diagnose COVID-19 with 37 real human saliva samples results in a sensitivity and specificity of both 100 % (27 true negatives and 10 true positives, with 0 false negative and 0 false positive), which showcases the superb diagnostic precision of this method.
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Affiliation(s)
- Payel Sen
- Department of Engineering Physics, McMaster University, Canada
| | - Zijie Zhang
- Department of Biochemistry and Biomedical Sciences, McMaster University, Canada
| | - Sadman Sakib
- Department of Engineering Physics, McMaster University, Canada
| | - Jimmy Gu
- Department of Biochemistry and Biomedical Sciences, McMaster University, Canada
| | - Wantong Li
- Department of Engineering Physics, McMaster University, Canada
| | | | - Ariel Motsenyat
- Department of Integrated Biomedical Engineering and Health Sciences, McMaster University, Canada
| | | | - Jann C Ang
- Department of Biochemistry and Biomedical Sciences, McMaster University, Canada
- McMaster Immunology Research Centre, McMaster University, Canada
- Michael G. DeGroote Institute for Infectious Disease Research, McMaster University, Canada
| | - Gurpreet Panesar
- Department of Biochemistry and Biomedical Sciences, McMaster University, Canada
| | | | - Debora Yamamura
- Michael G. DeGroote Institute for Infectious Disease Research, McMaster University, Canada
- Department of Pathology and Molecular Medicine, McMaster University, Canada
| | - Matthew S Miller
- Department of Biochemistry and Biomedical Sciences, McMaster University, Canada
- McMaster Immunology Research Centre, McMaster University, Canada
- Michael G. DeGroote Institute for Infectious Disease Research, McMaster University, Canada
| | - Yingfu Li
- Department of Biochemistry and Biomedical Sciences, McMaster University, Canada
- Michael G. DeGroote Institute for Infectious Disease Research, McMaster University, Canada
- School of Biomedical Engineering, McMaster University, Canada
| | - Leyla Soleymani
- Department of Engineering Physics, McMaster University, Canada
- Department of Biochemistry and Biomedical Sciences, McMaster University, Canada
- Michael G. DeGroote Institute for Infectious Disease Research, McMaster University, Canada
- School of Biomedical Engineering, McMaster University, Canada
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7
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Xiong E, Liu P, Deng R, Zhang K, Yang R, Li J. Recent advances in enzyme-free and enzyme-mediated single-nucleotide variation assay in vitro. Natl Sci Rev 2024; 11:nwae118. [PMID: 38742234 PMCID: PMC11089818 DOI: 10.1093/nsr/nwae118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 03/14/2024] [Accepted: 03/15/2024] [Indexed: 05/16/2024] Open
Abstract
Single-nucleotide variants (SNVs) are the most common type variation of sequence alterations at a specific location in the genome, thus involving significant clinical and biological information. The assay of SNVs has engaged great awareness, because many genome-wide association studies demonstrated that SNVs are highly associated with serious human diseases. Moreover, the investigation of SNV expression levels in single cells are capable of visualizing genetic information and revealing the complexity and heterogeneity of single-nucleotide mutation-related diseases. Thus, developing SNV assay approaches in vitro, particularly in single cells, is becoming increasingly in demand. In this review, we summarized recent progress in the enzyme-free and enzyme-mediated strategies enabling SNV assay transition from sensing interface to the test tube and single cells, which will potentially delve deeper into the knowledge of SNV functions and disease associations, as well as discovering new pathways to diagnose and treat diseases based on individual genetic profiles. The leap of SNV assay achievements will motivate observation and measurement genetic variations in single cells, even within living organisms, delve into the knowledge of SNV functions and disease associations, as well as open up entirely new avenues in the diagnosis and treatment of diseases based on individual genetic profiles.
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Affiliation(s)
- Erhu Xiong
- Key Laboratory of Chemical Biology & Traditional Chinese Medicine Research, Ministry of Education, College of Chemistry and Chemical Engineering, Hunan Normal University, Changsha 410081, China
| | - Pengfei Liu
- Key Laboratory of Chemical Biology & Traditional Chinese Medicine Research, Ministry of Education, College of Chemistry and Chemical Engineering, Hunan Normal University, Changsha 410081, China
| | - Ruijie Deng
- College of Biomass Science and Engineering, Healthy Food Evaluation Research Center, Sichuan University, Chengdu 610065, China
| | - Kaixiang Zhang
- School of Pharmaceutical Sciences, Key Laboratory of Targeting Therapy and Diagnosis for Critical Diseases, Zhengzhou University, Zhengzhou 450001, China
| | - Ronghua Yang
- Key Laboratory of Chemical Biology & Traditional Chinese Medicine Research, Ministry of Education, College of Chemistry and Chemical Engineering, Hunan Normal University, Changsha 410081, China
| | - Jinghong Li
- Department of Chemistry, Center for Bioanalytical Chemistry, Key Laboratory of Bioorganic Phosphorus Chemistry & Chemical Biology, Tsinghua University, Beijing 100084, China
- Beijing Institute of Life Science and Technology, Beijing 102206, China
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8
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Sun S, Yang Q, Jiang D, Zhang Y. Nanobiotechnology augmented cancer stem cell guided management of cancer: liquid-biopsy, imaging, and treatment. J Nanobiotechnology 2024; 22:176. [PMID: 38609981 PMCID: PMC11015566 DOI: 10.1186/s12951-024-02432-5] [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: 12/31/2023] [Accepted: 03/20/2024] [Indexed: 04/14/2024] Open
Abstract
Cancer stem cells (CSCs) represent both a key driving force and therapeutic target of tumoral carcinogenesis, tumor evolution, progression, and recurrence. CSC-guided tumor diagnosis, treatment, and surveillance are strategically significant in improving cancer patients' overall survival. Due to the heterogeneity and plasticity of CSCs, high sensitivity, specificity, and outstanding targeting are demanded for CSC detection and targeting. Nanobiotechnologies, including biosensors, nano-probes, contrast enhancers, and drug delivery systems, share identical features required. Implementing these techniques may facilitate the overall performance of CSC detection and targeting. In this review, we focus on some of the most recent advances in how nanobiotechnologies leverage the characteristics of CSC to optimize cancer diagnosis and treatment in liquid biopsy, clinical imaging, and CSC-guided nano-treatment. Specifically, how nanobiotechnologies leverage the attributes of CSC to maximize the detection of circulating tumor DNA, circulating tumor cells, and exosomes, to improve positron emission computed tomography and magnetic resonance imaging, and to enhance the therapeutic effects of cytotoxic therapy, photodynamic therapy, immunotherapy therapy, and radioimmunotherapy are reviewed.
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Affiliation(s)
- Si Sun
- Department of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Qiang Yang
- Department of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Dawei Jiang
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Hubei Key Laboratory of Molecular Imaging, Wuhan, 430022, China.
- Key Laboratory of Biological Targeted Therapy, the Ministry of Education, Wuhan, 430022, China.
| | - Yuan Zhang
- Department of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
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9
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Daems E, Bassini S, Mariën L, Op de Beeck H, Stratulat A, Zwaenepoel K, Vandamme T, Op de Beeck K, Koljenović S, Peeters M, Van Camp G, De Wael K. Singlet oxygen-based photoelectrochemical detection of single-point mutations in the KRAS oncogene. Biosens Bioelectron 2024; 249:115957. [PMID: 38199080 DOI: 10.1016/j.bios.2023.115957] [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: 10/28/2023] [Revised: 12/18/2023] [Accepted: 12/20/2023] [Indexed: 01/12/2024]
Abstract
Single nucleotide point mutations in the KRAS oncogene occur frequently in human cancers, rendering them intriguing targets for diagnosis, early detection and personalized treatment. Current detection methods are based on polymerase chain reaction, sometimes combined with next-generation sequencing, which can be expensive, complex and have limited availability. Here, we propose a novel singlet oxygen (1O2)-based photoelectrochemical detection methodology for single-point mutations, using KRAS mutations as a case study. This detection method combines the use of a sandwich assay, magnetic beads and robust chemical photosensitizers, that need only air and light to produce 1O2, to ensure high specificity and sensitivity. We demonstrate that hybridization of the sandwich hybrid at high temperatures enables discrimination between mutated and wild-type sequences with a detection rate of up to 93.9%. Additionally, the presence of background DNA sequences derived from human cell-line DNA, not containing the mutation of interest, did not result in a signal, highlighting the specificity of the methodology. A limit of detection as low as 112 pM (1.25 ng/mL) was achieved without employing any amplification techniques. The developed 1O2-based photoelectrochemical methodology exhibits unique features, including rapidity, ease of use, and affordability, highlighting its immense potential in the field of nucleic acid-based diagnostics.
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Affiliation(s)
- Elise Daems
- A-Sense Lab, Department of Bioscience Engineering, University of Antwerp, Antwerp, 2020, Belgium; NANOlab Center of Excellence, University of Antwerp, Antwerp, 2020, Belgium
| | - Simone Bassini
- A-Sense Lab, Department of Bioscience Engineering, University of Antwerp, Antwerp, 2020, Belgium; NANOlab Center of Excellence, University of Antwerp, Antwerp, 2020, Belgium
| | - Laura Mariën
- Center of Medical Genetics, University of Antwerp and Antwerp University Hospital, Edegem, 2650, Belgium; Center for Oncological Research, Integrated Personalized & Precision Oncology Network (IPPON), University of Antwerp, Wilrijk, 2610, Belgium
| | - Hannah Op de Beeck
- A-Sense Lab, Department of Bioscience Engineering, University of Antwerp, Antwerp, 2020, Belgium; NANOlab Center of Excellence, University of Antwerp, Antwerp, 2020, Belgium
| | - Alexandr Stratulat
- A-Sense Lab, Department of Bioscience Engineering, University of Antwerp, Antwerp, 2020, Belgium; NANOlab Center of Excellence, University of Antwerp, Antwerp, 2020, Belgium
| | - Karen Zwaenepoel
- Center for Oncological Research, Integrated Personalized & Precision Oncology Network (IPPON), University of Antwerp, Wilrijk, 2610, Belgium; Department of Pathology, Antwerp University Hospital, Edegem, 2650, Belgium
| | - Timon Vandamme
- Center for Oncological Research, Integrated Personalized & Precision Oncology Network (IPPON), University of Antwerp, Wilrijk, 2610, Belgium; Department of Oncology and Multidisciplinary Oncological Center Antwerp (MOCA), Antwerp University Hospital, Edegem, 2650, Belgium
| | - Ken Op de Beeck
- Center of Medical Genetics, University of Antwerp and Antwerp University Hospital, Edegem, 2650, Belgium; Center for Oncological Research, Integrated Personalized & Precision Oncology Network (IPPON), University of Antwerp, Wilrijk, 2610, Belgium
| | - Senada Koljenović
- Center for Oncological Research, Integrated Personalized & Precision Oncology Network (IPPON), University of Antwerp, Wilrijk, 2610, Belgium; Department of Pathology, Antwerp University Hospital, Edegem, 2650, Belgium
| | - Marc Peeters
- Center for Oncological Research, Integrated Personalized & Precision Oncology Network (IPPON), University of Antwerp, Wilrijk, 2610, Belgium; Department of Oncology and Multidisciplinary Oncological Center Antwerp (MOCA), Antwerp University Hospital, Edegem, 2650, Belgium
| | - Guy Van Camp
- Center of Medical Genetics, University of Antwerp and Antwerp University Hospital, Edegem, 2650, Belgium; Center for Oncological Research, Integrated Personalized & Precision Oncology Network (IPPON), University of Antwerp, Wilrijk, 2610, Belgium
| | - Karolien De Wael
- A-Sense Lab, Department of Bioscience Engineering, University of Antwerp, Antwerp, 2020, Belgium; NANOlab Center of Excellence, University of Antwerp, Antwerp, 2020, Belgium.
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10
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Zhang Y, Lyu X, Chen D, Wu J, Li D, Li Y. DNA induced CTAB-caped gold bipyramidal nanoparticles self-assembly using for Raman detection of DNA molecules. Talanta 2024; 266:124936. [PMID: 37478765 DOI: 10.1016/j.talanta.2023.124936] [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: 04/04/2023] [Revised: 07/03/2023] [Accepted: 07/10/2023] [Indexed: 07/23/2023]
Abstract
DNA is an indispensable part of metabolism, which affects many important processes in the body, including gene expression, protein synthesis, and drug delivery. Surface-enhanced Raman spectroscopy (SERS) is one of the most important methods used to study the structure and function of DNA and can obtain rich DNA molecular fingerprints. However, it is still a great challenge to use SERS to directly analyze the characteristic Raman signals of the DNA molecule and achieve rapid and simple detection. Hence, a detection platform based on gold bipyramidal nanoparticles (AuNBs) self-assembly that can be directly used for the detection of DNA molecules without the need for additional aggregators and cleaning agents was designed in this study. The original hexadecyltrimethylammonium bromide (CTAB) of AuNBs can be used as the internal standard for DNA quantification without an additional standard. This is the first time that the Raman signals of the analyte molecule can be obtained directly without labels by using the interaction between the molecule and the enhanced substrate. We used this method to capture the original DNA molecules in methylated DNA, serum, and cell metabolites and obtained spectral data processing results using linear discriminant analysis (LDA). This provides new ideas for the digitization of disease treatment and the study of the metabolic processes of life.
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Affiliation(s)
- Yuan Zhang
- Department of Pharmaceutical Analysis and Analytical Chemistry (Research Center for Innovative Technology of Pharmaceutical Analysis), College of Pharmacy, Harbin Medical University, 157 Baojian Road, Harbin, Heilongjiang Province, 150081, PR China; Key Laboratory for Advanced Materials, Shanghai Key Laboratory of Functional Materials Chemistry, Joint International Laboratory for Precision Chemistry, Frontiers Science Center for Materiobiology & Dynamic Chemistry, School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai, 200237, PR China
| | - Xiaoming Lyu
- Department of Pharmaceutical Analysis and Analytical Chemistry (Research Center for Innovative Technology of Pharmaceutical Analysis), College of Pharmacy, Harbin Medical University, 157 Baojian Road, Harbin, Heilongjiang Province, 150081, PR China
| | - Dongsu Chen
- Department of Pharmaceutical Analysis and Analytical Chemistry (Research Center for Innovative Technology of Pharmaceutical Analysis), College of Pharmacy, Harbin Medical University, 157 Baojian Road, Harbin, Heilongjiang Province, 150081, PR China
| | - Jing Wu
- School of Science, Nantong University, No. 9, Seyuan Road, Nantong, Jiangsu, 226019, PR China
| | - Dawei Li
- Key Laboratory for Advanced Materials, Shanghai Key Laboratory of Functional Materials Chemistry, Joint International Laboratory for Precision Chemistry, Frontiers Science Center for Materiobiology & Dynamic Chemistry, School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai, 200237, PR China
| | - Yang Li
- Department of Pharmaceutical Analysis and Analytical Chemistry (Research Center for Innovative Technology of Pharmaceutical Analysis), College of Pharmacy, Harbin Medical University, 157 Baojian Road, Harbin, Heilongjiang Province, 150081, PR China; Research Unit of Health Sciences and Technology (HST), Faculty of Medicine University of Oulu, 2125B, Aapistie 5A, 90220, Oulu, Finland; Genomics Research Center (Key Laboratory of Gut Microbiota and Pharmacogenomics of Heilongjiang Province), College of Pharmacy, Harbin Medical University, Harbin, 150081, PR China.
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11
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Zhang P, Qin K, Gao K, Su F, Wang H, Liu J, Li Z. Multiple thermocycles followed by LAMP with only two primers for ultrasensitive colorimetric viral RNA testing and tracking at single-base resolution. Anal Chim Acta 2023; 1276:341621. [PMID: 37573111 DOI: 10.1016/j.aca.2023.341621] [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: 06/01/2023] [Revised: 07/06/2023] [Accepted: 07/12/2023] [Indexed: 08/14/2023]
Abstract
Rapid, accurate and high throughput measurement of infectious viruses is an urgent need to prevent viral transmission. Loop-mediated isothermal amplification (LAMP) is an attractive isothermal amplification method for nucleic acid detection, especially for point-of-care (POC) testing, but it needs at least four primers and its sensitivity is also limited when integrating with visual detection methods. Herein, by designing only two primers to precisely recognize the four regions of the target, we developed a multiple thermocycles-based LAMP method (MTC-LAMP) for sensitive and specific testing and tracking of viral RNA. We also introduced a novel SYBR Green I (SG)-assisted stable colorimetric assay induced by the amplification products through the charge neutralization effect of positively charged SG toward gold nanoparticles (AuNPs). The ultralow nonspecific background of the double exponential amplification improved the detection sensitivity to near single-molecule level (1 aM, 3 copies in 5 μL solution), which was higher than RT-PCR and RT-LAMP. After adding AuNPs, a significant color difference between target and blank was immediately observed by naked eye. By introducing a peptide nucleic acid (PNA) clamp into our colorimetric MTC-LAMP assay, the specific distinguish of virus variants at single-base resolution was observed without the requirement of any equipment. This assay shows great potential for large-scale screening and tracking of the threatening viruses with ultrahigh sensitivity and pronounced colorimetric output, which is of great importance for pandemic control.
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Affiliation(s)
- Pengbo Zhang
- Beijing Key Laboratory for Bioengineering and Sensing Technology, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, 30 Xueyuan Road, Haidian District, Beijing, 100083, China
| | - Ke Qin
- Beijing Key Laboratory for Bioengineering and Sensing Technology, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, 30 Xueyuan Road, Haidian District, Beijing, 100083, China
| | - Kejian Gao
- Beijing Key Laboratory for Bioengineering and Sensing Technology, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, 30 Xueyuan Road, Haidian District, Beijing, 100083, China
| | - Fengxia Su
- Beijing Key Laboratory for Bioengineering and Sensing Technology, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, 30 Xueyuan Road, Haidian District, Beijing, 100083, China
| | - Hui Wang
- Beijing Key Laboratory for Bioengineering and Sensing Technology, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, 30 Xueyuan Road, Haidian District, Beijing, 100083, China
| | - Juewen Liu
- Department of Chemistry, Waterloo Institute for Nanotechnology, University of Waterloo, 200 University Avenue West, Waterloo, ON N2L 3G1, Canada
| | - Zhengping Li
- Beijing Key Laboratory for Bioengineering and Sensing Technology, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, 30 Xueyuan Road, Haidian District, Beijing, 100083, China.
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12
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Yang F, Gong J, Li M, Jiang X, Zhang J, Liao M, Zhang H, Tremblay PL, Zhang T. Electrochemiluminescent CdS Quantum Dots Biosensor for Cancer Mutation Detection at Different Positions on Linear DNA Analytes. Anal Chem 2023; 95:14016-14024. [PMID: 37683084 DOI: 10.1021/acs.analchem.3c02649] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/10/2023]
Abstract
PCR-based techniques routinely employed for the detection of mutated linear DNA molecules, including circulating tumor DNA (ctDNA), require large nucleotide sections on both sides of the mutation for primer annealing. This means that DNA fragments with a mutation positioned closer to the extremities are unlikely to be detected. Thus, sensors capable of recognizing linear DNA with characteristic mutations closer to the ends would be advantageous over the state-of-the-art approaches. Here, an electrochemiluminescence-resonance energy transfer (ECL-RET) biosensor comprising capped CdS quantum dots and hairpin DNA probes labeled with Au nanoparticles was developed for the detection of epidermal growth factor receptor (EGFR) ctDNA carrying the critical T790M lung cancer mutation. The ECL-RET system detected different DNA molecules including single-stranded 18-nucleotides (nt) and 40-nt as well as double-stranded 100-nt with the single nucleotide polymorphism (SNP) coding for T790M located either in the middle or only 7 nt from one end. For all target DNA, the sensor's limits of detection (LODs) were in the aM range, with excellent selectivity. It was the case of 100-nt target linear ctDNA fragments with LODs of 8.1 and 3.4 aM when the EGFR T790M SNP was either in the middle or at the end, respectively. These results show that ECL-RET systems can sense mutations in DNA fragments that would remain undetected by standard techniques.
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Affiliation(s)
- Fan Yang
- School of Chemistry, Chemical Engineering, and Life Science, Wuhan University of Technology, Wuhan, Hubei 430070, China
- Shaoxing Institute for Advanced Research, Wuhan University of Technology, Shaoxing, Zhejiang 312300, China
| | - JinBo Gong
- School of Chemistry, Chemical Engineering, and Life Science, Wuhan University of Technology, Wuhan, Hubei 430070, China
| | - Ming Li
- School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan, Hubei 430070, China
| | - Xiangyang Jiang
- School of Materials Science and Engineering, Wuhan University of Technology, Wuhan, Hubei 430070, China
| | - Jiawen Zhang
- Institut WUT-AMU, Wuhan University of Technology, Wuhan, Hubei 430070, China
| | - Meiyan Liao
- Department of Radiology, Zhongnan Hospital of Wuhan Uni-versity, Wuhan, Hubei 430071, China
| | - Hanfei Zhang
- Department of Radiology, Zhongnan Hospital of Wuhan Uni-versity, Wuhan, Hubei 430071, China
| | - Pier-Luc Tremblay
- School of Chemistry, Chemical Engineering, and Life Science, Wuhan University of Technology, Wuhan, Hubei 430070, China
- Shaoxing Institute for Advanced Research, Wuhan University of Technology, Shaoxing, Zhejiang 312300, China
- Institut WUT-AMU, Wuhan University of Technology, Wuhan, Hubei 430070, China
| | - Tian Zhang
- School of Chemistry, Chemical Engineering, and Life Science, Wuhan University of Technology, Wuhan, Hubei 430070, China
- Shaoxing Institute for Advanced Research, Wuhan University of Technology, Shaoxing, Zhejiang 312300, China
- School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan, Hubei 430070, China
- School of Materials Science and Engineering, Wuhan University of Technology, Wuhan, Hubei 430070, China
- Institut WUT-AMU, Wuhan University of Technology, Wuhan, Hubei 430070, China
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13
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Su X, Xie Y, Liu X, Chen M, Zheng C, Zhong H, Li M. Absolute Quantification of Serum Exosomes in Patients with an SERS-Lateral Flow Strip Biosensor for Noninvasive Clinical Cancer Diagnosis. ACS APPLIED MATERIALS & INTERFACES 2023; 15:37130-37142. [PMID: 37525365 DOI: 10.1021/acsami.3c05039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/02/2023]
Abstract
Exosomes (exos) widely existing in body fluids show great potential for noninvasive cancer diagnosis. Quantitative analysis of exos is traditionally performed by targeting specific exosomal surface proteins, but it is often imprecise due to the common expression of exosomal proteins and subtle expression differences between different cancer subtypes. Herein, we report quantitative surface-enhanced Raman spectroscopy (SERS) of serum exos through a combination of a paper-based lateral flow strip (LFS) biosensor with multivariate spectral unmixing analysis rather than simply quantifying exosomal proteins. Our SERS-LFS biosensor enables absolute quantification of two different serum exos with a limit of detection down to ∼106 particles/mL for both exos. We further exemplify the application of this strategy in quantitative dual-plex detection of serum exos from breast cancer patients. We find that human epidermal growth factor receptor 2+ (HER2+) and luminal A breast cancer patients undergoing no surgery are enriched in serum exos derived from SKBR-3 cells and MCF-7 cells (denoted as SKBR and MCF exos), respectively. The surgical treatment of these breast cancer patients accompanies an obvious decrease of either SKBR or MCF exos in the serum. These results suggest the great potential of the combination of the SERS-LFS biosensor and multivariate spectral unmixing for breast cancer subtyping and therapeutic surveillance with the powerful quantitative capability of exos in clinical samples.
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Affiliation(s)
- Xiaoming Su
- School of Materials Science and Engineering, Central South University, Changsha 410083, Hunan, China
- College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, Hunan, China
| | - Yangcenzi Xie
- School of Materials Science and Engineering, Central South University, Changsha 410083, Hunan, China
| | - Xinyu Liu
- School of Materials Science and Engineering, Central South University, Changsha 410083, Hunan, China
| | - Mingyang Chen
- School of Materials Science and Engineering, Central South University, Changsha 410083, Hunan, China
| | - Chao Zheng
- Department of Breast Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250033, Shandong, China
| | - Hong Zhong
- College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, Hunan, China
| | - Ming Li
- School of Materials Science and Engineering, Central South University, Changsha 410083, Hunan, China
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14
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Li S, Zhang H, Zhu M, Kuang Z, Li X, Xu F, Miao S, Zhang Z, Lou X, Li H, Xia F. Electrochemical Biosensors for Whole Blood Analysis: Recent Progress, Challenges, and Future Perspectives. Chem Rev 2023. [PMID: 37262362 DOI: 10.1021/acs.chemrev.1c00759] [Citation(s) in RCA: 32] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
Whole blood, as one of the most significant biological fluids, provides critical information for health management and disease monitoring. Over the past 10 years, advances in nanotechnology, microfluidics, and biomarker research have spurred the development of powerful miniaturized diagnostic systems for whole blood testing toward the goal of disease monitoring and treatment. Among the techniques employed for whole-blood diagnostics, electrochemical biosensors, as known to be rapid, sensitive, capable of miniaturization, reagentless and washing free, become a class of emerging technology to achieve the target detection specifically and directly in complex media, e.g., whole blood or even in the living body. Here we are aiming to provide a comprehensive review to summarize advances over the past decade in the development of electrochemical sensors for whole blood analysis. Further, we address the remaining challenges and opportunities to integrate electrochemical sensing platforms.
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Affiliation(s)
- Shaoguang Li
- State Key Laboratory of Biogeology and Environmental Geology, Engineering Research Center of Nano-Geomaterials of Ministry of Education, Faculty of Materials Science and Chemistry, China University of Geosciences, Wuhan 430074, China
| | - Hongyuan Zhang
- State Key Laboratory of Biogeology and Environmental Geology, Engineering Research Center of Nano-Geomaterials of Ministry of Education, Faculty of Materials Science and Chemistry, China University of Geosciences, Wuhan 430074, China
| | - Man Zhu
- State Key Laboratory of Biogeology and Environmental Geology, Engineering Research Center of Nano-Geomaterials of Ministry of Education, Faculty of Materials Science and Chemistry, China University of Geosciences, Wuhan 430074, China
| | - Zhujun Kuang
- State Key Laboratory of Biogeology and Environmental Geology, Engineering Research Center of Nano-Geomaterials of Ministry of Education, Faculty of Materials Science and Chemistry, China University of Geosciences, Wuhan 430074, China
| | - Xun Li
- State Key Laboratory of Biogeology and Environmental Geology, Engineering Research Center of Nano-Geomaterials of Ministry of Education, Faculty of Materials Science and Chemistry, China University of Geosciences, Wuhan 430074, China
| | - Fan Xu
- State Key Laboratory of Biogeology and Environmental Geology, Engineering Research Center of Nano-Geomaterials of Ministry of Education, Faculty of Materials Science and Chemistry, China University of Geosciences, Wuhan 430074, China
| | - Siyuan Miao
- State Key Laboratory of Biogeology and Environmental Geology, Engineering Research Center of Nano-Geomaterials of Ministry of Education, Faculty of Materials Science and Chemistry, China University of Geosciences, Wuhan 430074, China
| | - Zishuo Zhang
- State Key Laboratory of Biogeology and Environmental Geology, Engineering Research Center of Nano-Geomaterials of Ministry of Education, Faculty of Materials Science and Chemistry, China University of Geosciences, Wuhan 430074, China
| | - Xiaoding Lou
- State Key Laboratory of Biogeology and Environmental Geology, Engineering Research Center of Nano-Geomaterials of Ministry of Education, Faculty of Materials Science and Chemistry, China University of Geosciences, Wuhan 430074, China
| | - Hui Li
- State Key Laboratory of Biogeology and Environmental Geology, Engineering Research Center of Nano-Geomaterials of Ministry of Education, Faculty of Materials Science and Chemistry, China University of Geosciences, Wuhan 430074, China
| | - Fan Xia
- State Key Laboratory of Biogeology and Environmental Geology, Engineering Research Center of Nano-Geomaterials of Ministry of Education, Faculty of Materials Science and Chemistry, China University of Geosciences, Wuhan 430074, China
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15
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Sharafeldin M, Rusling JF. Multiplexed electrochemical assays for clinical applications. CURRENT OPINION IN ELECTROCHEMISTRY 2023; 39:101256. [PMID: 37006828 PMCID: PMC10062004 DOI: 10.1016/j.coelec.2023.101256] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Rapid, accurate diagnoses are central to future efficient healthcare to identify diseases at early stages, avoid unnecessary treatment, and improve outcomes. Electrochemical techniques have been applied in many ways to support clinical applications by enabling the analysis of relevant disease biomarkers in user-friendly, sensitive, low-cost assays. Electrochemistry offers a launchpad for multiplexed biomarker assays that offer more accurate and precise diagnostics compared to single biomarker assays. In this short review, we underpin the importance of multiplexed analyses and provide a universal overview of current electrochemical assay strategies for multiple biomarkers. We highlight relevant examples of electrochemical methods that successfully quantify important disease biomarkers. Finally, we offer a future outlook on possible strategies that can be employed to increase throughput, sensitivity, and specificity of multiplexed electrochemical assays.
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Affiliation(s)
| | - James F. Rusling
- Department of Chemistry, University of Connecticut, Storrs, CT 06269-3060
- Institute of Materials Science, University of Connecticut, Storrs, CT 06269-3136
- Department of Surgery and Neag Cancer Center, Uconn Health, Farmington, CT 06030
- School of Chemistry, National University of Ireland at Galway, Galway, Ireland. H91 TK33
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16
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Ko DH, Bates D, Karaosmanoglu H, Taredun K, Elton C, Jones L, Hosseini A, Partridge A. 3D microelectrode arrays, pushing the bounds of sensitivity toward a generic platform for point-of-care diagnostics. Biosens Bioelectron 2023; 227:115154. [PMID: 36801599 DOI: 10.1016/j.bios.2023.115154] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 01/19/2023] [Accepted: 02/13/2023] [Indexed: 02/16/2023]
Abstract
The increased sensitivity of microelectrode arrays (MEAs) over macroelectrodes for biosensing is well established, and results from reducing the diffusion gradient of the target species to and from the electrode surfaces. The current study describes the fabrication and characterisation of a polymer-based MEA, which exploits the advantages of three dimensionality (3D). Firstly, the unique 3D formfactor promotes release of the gold tips from an inert layer in a controlled fashion, to form a highly reproducible array of microelectrodes in a single step. The 3D topography of the fabricated MEAs significantly enhances the diffusion profile of the target species to the electrode which results in higher sensitivity. Furthermore, the "sharpness" of the 3D structure induces differential current distribution that is focused at the apices of the individual electrodes, reducing the active area, and thereby overcoming the requirement for the electrodes to be sub-micron in size before true MEA behaviour can be achieved. The electrochemical characteristics of the 3D MEAs shows ideal micro-electrode behaviour, with a level of sensitivity of three orders of magnitude greater than that of enzyme-linked immunosorbent assays (ELISA), as the optical based gold standard. The application of the 3D MEAs uses the combination of enzyme-label and substrate approach employed in ELISAs as a generic basis for biosensing and can hence be applied to the plethora of targets that utilise the ELISA approach. As an example, the 3D MEAs are applied to the detection of RNA and demonstrate a level of detection down to single digit picomolar concentrations.
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Affiliation(s)
- Danny Hsu Ko
- Catalyst Tec Limited, 16 Beatrice Tinsley Crescent, Auckland, 0632, New Zealand
| | - David Bates
- Digital Sensing Ltd, 16 Beatrice Tinsley Crescent, Auckland, 0632, New Zealand
| | - Hande Karaosmanoglu
- Digital Sensing Ltd, 16 Beatrice Tinsley Crescent, Auckland, 0632, New Zealand
| | - Karl Taredun
- Digital Sensing Ltd, 16 Beatrice Tinsley Crescent, Auckland, 0632, New Zealand
| | - Clare Elton
- Digital Sensing Ltd, 16 Beatrice Tinsley Crescent, Auckland, 0632, New Zealand
| | - Leonie Jones
- Digital Sensing Ltd, 16 Beatrice Tinsley Crescent, Auckland, 0632, New Zealand
| | - Ali Hosseini
- Catalyst Tec Limited, 16 Beatrice Tinsley Crescent, Auckland, 0632, New Zealand.
| | - Ashton Partridge
- Digital Sensing Ltd, 16 Beatrice Tinsley Crescent, Auckland, 0632, New Zealand; Catalyst Tec Limited, 16 Beatrice Tinsley Crescent, Auckland, 0632, New Zealand; Chemical and Materials Engineering, The University of Auckland, Auckland, 1010, New Zealand.
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17
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Electrochemical biosensors for analysis of DNA point mutations in cancer research. Anal Bioanal Chem 2023; 415:1065-1085. [PMID: 36289102 DOI: 10.1007/s00216-022-04388-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 10/11/2022] [Accepted: 10/14/2022] [Indexed: 02/07/2023]
Abstract
Cancer is a genetic disease induced by mutations in DNA, in particular point mutations in important driver genes that lead to protein malfunctioning and ultimately to tumorigenesis. Screening for the most common DNA point mutations, especially in such genes as TP53, BRCA1 and BRCA2, EGFR, KRAS, or BRAF, is crucial to determine predisposition risk for cancer or to predict response to therapy. In this review, we briefly depict how these genes are involved in cancer, followed by a description of the most common techniques routinely applied for their analysis, including high-throughput next-generation sequencing technology and less expensive low-throughput options, such as real-time PCR, restriction fragment length polymorphism, or high resolution melting analysis. We then introduce benefits of electrochemical biosensors as interesting alternatives to the standard methods in terms of cost, speed, and simplicity. We describe most common strategies involved in electrochemical biosensing of point mutations, relying mostly on PCR or isothermal amplification techniques, and critically discuss major challenges and obstacles that, until now, prevented their more widespread application in clinical settings.
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18
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Soh JO, Park BC, Park HS, Kim MS, Fu HE, Kim YK, Lee JH. Multifunctional Nanoparticle Platform for Surface Accumulative Nucleic Acid Amplification and Rapid Electrochemical Detection: An Application to Pathogenic Coronavirus. ACS Sens 2023; 8:839-847. [PMID: 36707063 PMCID: PMC9897046 DOI: 10.1021/acssensors.2c02512] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 01/06/2023] [Indexed: 01/29/2023]
Abstract
Of various molecular diagnostic assays, the real-time reverse transcription polymerase chain reaction is considered the gold standard for infection diagnosis, despite critical drawbacks that limit rapid detection and accessibility. To confront these issues, several nanoparticle-based molecular detection methods have been developed to a great extent, but still possess several challenges. In this study, a novel nucleic acid amplification method termed nanoparticle-based surface localized amplification (nSLAM) is paired with electrochemical detection (ECD) to develop a nucleic acid biosensor platform that overcomes these limitations. The system uses primer-functionalized Fe3O4-Au core-shell nanoparticles for nucleic acid amplification, which promotes the production of amplicons that accumulate on the nanoparticle surfaces, inducing significantly amplified currents during ECD that identify the presence of target genetic material. The platform, applying to the COVID-19 model, demonstrates an exceptional sensitivity of ∼1 copy/μL for 35 cycles of amplification, enabling the reduction of amplification cycles to 4 cycles (∼7 min runtime) using 1 fM complementary DNA. The nSLAM acts as an accelerator that actively promotes and participates in the nucleic acid amplification process through direct polymerization and binding of amplicons on the nanoparticle surfaces. This ultrasensitive fast-response system is a promising method for detecting emerging pathogens like the coronavirus and can be extended to detect a wider variety of biomolecules.
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Affiliation(s)
- Jeong Ook Soh
- Department of Bionano Engineering,
Hanyang University, 55 Hanyangdaehak-ro, Sangnok-gu,
Ansan15588, Republic of Korea
- Center for Bionano Intelligence Education and
Research, Hanyang University, 55 Hanyangdaehak-ro, Sangnok-gu,
Ansan15588, Republic of Korea
| | - Bum Chul Park
- Department of Materials Science and Engineering,
Korea University, 145 Anam-ro, Seongbuk-gu, Seoul02841,
Republic of Korea
- Brain Korea Center for Smart Materials and Devices,
Korea University, 145 Anam-ro, Seongbuk-gu, Seoul02841,
Republic of Korea
| | - Hyeon Su Park
- Department of Materials Science and Engineering,
Korea University, 145 Anam-ro, Seongbuk-gu, Seoul02841,
Republic of Korea
| | - Myeong Soo Kim
- Department of Materials Science and Engineering,
Korea University, 145 Anam-ro, Seongbuk-gu, Seoul02841,
Republic of Korea
| | - Hong En Fu
- Department of Materials Science and Engineering,
Korea University, 145 Anam-ro, Seongbuk-gu, Seoul02841,
Republic of Korea
| | - Young Keun Kim
- Department of Materials Science and Engineering,
Korea University, 145 Anam-ro, Seongbuk-gu, Seoul02841,
Republic of Korea
- Brain Korea Center for Smart Materials and Devices,
Korea University, 145 Anam-ro, Seongbuk-gu, Seoul02841,
Republic of Korea
| | - Ju Hun Lee
- Department of Bionano Engineering,
Hanyang University, 55 Hanyangdaehak-ro, Sangnok-gu,
Ansan15588, Republic of Korea
- Center for Bionano Intelligence Education and
Research, Hanyang University, 55 Hanyangdaehak-ro, Sangnok-gu,
Ansan15588, Republic of Korea
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19
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Zhang Y, Zhan DS, Xu XY, Zhang Z, Hafez ME, He Y, Li Y, Li DW. Label-free detection of DNA methylation by surface-enhanced Raman spectroscopy using zirconium-modified silver nanoparticles. Talanta 2023; 253:123941. [DOI: 10.1016/j.talanta.2022.123941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 08/28/2022] [Accepted: 09/14/2022] [Indexed: 10/14/2022]
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20
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Wu NJW, Aquilina M, Qian BZ, Loos R, Gonzalez-Garcia I, Santini CC, Dunn KE. The Application of Nanotechnology for Quantification of Circulating Tumour DNA in Liquid Biopsies: A Systematic Review. IEEE Rev Biomed Eng 2023; 16:499-513. [PMID: 35302938 DOI: 10.1109/rbme.2022.3159389] [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] [Indexed: 11/05/2022]
Abstract
Technologies for quantifying circulating tumour DNA (ctDNA) in liquid biopsies could enable real-time measurements of cancer progression, profoundly impacting patient care. Sequencing methods can be too complex and time-consuming for regular point-of-care monitoring, but nanotechnology offers an alternative, harnessing the unique properties of objects tens to hundreds of nanometres in size. This systematic review was performed to identify all examples of nanotechnology-based ctDNA detection and assess their potential for clinical use. Google Scholar, PubMed, Web of Science, Google Patents, Espacenet and Embase/MEDLINE were searched up to 23rd March 2021. The review identified nanotechnology-based methods for ctDNA detection for which quantitative measures (e.g., limit of detection, LOD) were reported and biologically relevant samples were used. The pre-defined inclusion criteria were met by 66 records. LODs ranged from 10 zM to 50nM. 25 records presented an LOD of 10fM or below. Nanotechnology-based approaches could provide the basis for the next wave of advances in ctDNA diagnostics, enabling analysis at the point-of-care, but none are currently used clinically. Further work is needed in development and validation; trade-offs are expected between different performance measures e.g., number of sequences detected and time to result.
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21
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Zhang X, Xie S, Chen X, Wang L, Li F, Liu S. An allosteric DNA switch-mediated catalytic DNA circuit for ratiometric and sensitive nucleic acid detection. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2022; 15:124-131. [PMID: 36504112 DOI: 10.1039/d2ay01751b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Herein, a new allosteric DNA switch-mediated catalytic DNA circuit reaction strategy has been proposed for ratiometric and sensitive nucleic acid detection. The sensing system was based on two DNA hybrid probes, each of which was constructed by annealing a reconfigurable DNA hairpin with single-stranded DNA. Upon target recognition by the first DNA hybrid probe, a reconfigurable DNA switch was liberated, triggering a toehold-mediated strand displacement reaction (TSDR) with the second DNA hybrid probe, which was accompanied by the release of another reconfigurable DNA switch. This released allosteric DNA switch could further interact with the first hybrid DNA probe via the TSDR strategy to form a reciprocal strand displacement network between the two DNA hybrid probes. Theoretically, this reciprocal strand displacement reaction would continue till the complete consumption of the reaction substrates. Thus, it provides a new signal amplification method leading toward target recognition. More interestingly, it creates a ratiometric signal response mode for target recognition, which involves the fluorescence increment of one fluorophore (Cy5) and concurrent decrement of another fluorophore (Cy3) accompanied by the target-triggered reciprocal strand displacement reaction. This process could achieve a low detection limit of about 0.1 pM toward the target nucleic acid and selective discrimination toward different mismatched targets. It could also be applied for detection in a serum sample. Thus, the developed catalytic DNA circuit reaction strategy together with ratiometric signal readout provides a new avenue for programmable, reliable and sensitive detection of nucleic acids and might also pave the way for developing more advanced DNA circuits or biosensors.
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Affiliation(s)
- Xiaofan Zhang
- College of Marine Science and Biological Engineering, Qingdao University of Science and Technology, 53 Zhengzhou Road, Qingdao 266042, China.
| | - Shunjun Xie
- College of Marine Science and Biological Engineering, Qingdao University of Science and Technology, 53 Zhengzhou Road, Qingdao 266042, China.
| | - Xue Chen
- College of Marine Science and Biological Engineering, Qingdao University of Science and Technology, 53 Zhengzhou Road, Qingdao 266042, China.
| | - Li Wang
- College of Chemistry and Chemical Engineering, Yantai University, 30 Qingquan Road, Yantai, 264005, China.
| | - Fang Li
- College of Marine Science and Biological Engineering, Qingdao University of Science and Technology, 53 Zhengzhou Road, Qingdao 266042, China.
| | - Shufeng Liu
- College of Chemistry and Chemical Engineering, Yantai University, 30 Qingquan Road, Yantai, 264005, China.
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22
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Lin J, Wu Y, Wang J, Yang R, Wu W, Li B, Chen X, Xue W, Liao Y. Gold island‐enhanced multiplex quantum dots fluorescent system for biomedical analysis of circulating tumor nucleic acids. NANO SELECT 2022. [DOI: 10.1002/nano.202200172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Affiliation(s)
- Jingyan Lin
- Department of Thoracic Surgery Shenzhen Third People's Hospital Shenzhen China
| | - Yunxia Wu
- Key Laboratory of Biomaterials of Guangdong Higher Education Institutes Guangdong Provincial Engineering and Technological Research Center for Drug Carrier Development Department of Biomedical Engineering Jinan University Guangzhou China
- Department of Burn Surgery The First People's Hospital of Foshan Foshan China
| | - Jingru Wang
- Department of Burn Surgery The First People's Hospital of Foshan Foshan China
| | - Ronghua Yang
- Department of Burn and Plastic Surgery Guangzhou First People's Hospital, South China University of Technology Guangzhou China
| | - Wenjie Wu
- Molecular Diagnosis and Treatment Center for Infectious Diseases Dermatology Hospital of Southern Medical University Guangzhou China
| | - Bin Li
- Department of Burn Surgery The First People's Hospital of Foshan Foshan China
- Molecular Diagnosis and Treatment Center for Infectious Diseases Dermatology Hospital of Southern Medical University Guangzhou China
| | - Xiaodong Chen
- Department of Burn Surgery The First People's Hospital of Foshan Foshan China
| | - Wei Xue
- Key Laboratory of Biomaterials of Guangdong Higher Education Institutes Guangdong Provincial Engineering and Technological Research Center for Drug Carrier Development Department of Biomedical Engineering Jinan University Guangzhou China
| | - Yuhui Liao
- Molecular Diagnosis and Treatment Center for Infectious Diseases Dermatology Hospital of Southern Medical University Guangzhou China
- Department of Infectious Disease Fifth Affiliated Hospital of Sun Yat‐sen University Zhuhai China
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23
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Cai A, Yang L, Kang X, Liu J, Wang F, Ji H, Wang Q, Wu M, Li G, Zhou X, Qin Y, Wu L. Target Recognition- and HCR Amplification-Induced In Situ Electrochemical Signal Probe Synthesis Strategy for Trace ctDNA Analysis. BIOSENSORS 2022; 12:bios12110989. [PMID: 36354498 PMCID: PMC9688549 DOI: 10.3390/bios12110989] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 11/03/2022] [Accepted: 11/06/2022] [Indexed: 05/31/2023]
Abstract
An electrochemical-DNA (E-DNA) sensor was constructed by using DNA metallization to produce an electrochemical signal reporter in situ and hybridization chain reaction (HCR) as signal amplification strategy. The cyclic voltammetry (CV) technique was used to characterize the electrochemical solid-state Ag/AgCl process. Moreover, the enzyme cleavage technique was introduced to reduce background signals and further improve recognition accuracy. On the basis of these techniques, the as-prepared E-DNA sensor exhibited superior sensing performance for trace ctDNA analysis with a detection range of 0.5 fM to 10 pM and a detection limit of 7 aM. The proposed E-DNA sensor also displayed excellent selectivity, satisfied repeatability and stability, and had good recovery, all of which supports its potential applications for future clinical sample analysis.
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Affiliation(s)
- Aiting Cai
- School of Public Health, Nantong University, No.9 Seyuan Road, Nantong 226019, China
- Department of Laboratory Medicine, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong 226001, China
| | - Luxia Yang
- School of Public Health, Nantong University, No.9 Seyuan Road, Nantong 226019, China
| | - Xiaoxia Kang
- School of Public Health, Nantong University, No.9 Seyuan Road, Nantong 226019, China
| | - Jinxia Liu
- School of Public Health, Nantong University, No.9 Seyuan Road, Nantong 226019, China
| | - Feng Wang
- School of Public Health, Nantong University, No.9 Seyuan Road, Nantong 226019, China
- Department of Laboratory Medicine, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong 226001, China
| | - Haiwei Ji
- School of Public Health, Nantong University, No.9 Seyuan Road, Nantong 226019, China
| | - Qi Wang
- School of Public Health, Nantong University, No.9 Seyuan Road, Nantong 226019, China
| | - Mingmin Wu
- School of Public Health, Nantong University, No.9 Seyuan Road, Nantong 226019, China
| | - Guo Li
- School of Public Health, Nantong University, No.9 Seyuan Road, Nantong 226019, China
| | - Xiaobo Zhou
- School of Public Health, Nantong University, No.9 Seyuan Road, Nantong 226019, China
| | - Yuling Qin
- School of Public Health, Nantong University, No.9 Seyuan Road, Nantong 226019, China
| | - Li Wu
- School of Public Health, Nantong University, No.9 Seyuan Road, Nantong 226019, China
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24
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Detection of breast cancer-related point-mutations using screen-printed and gold-plated electrochemical sensor arrays suitable for point-of-care applications. TALANTA OPEN 2022. [DOI: 10.1016/j.talo.2022.100150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
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25
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Lee S, Godhulayyagari S, Nguyen ST, Lu JK, Ebrahimi SB, Samanta D. Signal Transduction Strategies for Analyte Detection Using DNA-Based Nanostructures. Angew Chem Int Ed Engl 2022; 61:e202202211. [PMID: 35307938 DOI: 10.1002/anie.202202211] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Indexed: 12/14/2022]
Abstract
The use of DNA-based nanostructures as probes has led to significant advances in chemical and biological sensing, allowing the detection of analytes in complex media, the understanding of fundamental biological processes, and the ability to diagnose diseases based on molecular signatures. The utility of these structures arises both from DNA's inherent ability to selectively recognize and bind a variety of chemical species and from the unique properties observed when DNA is restructured at the nanoscale. In this Minireview, we chronicle the most commonly used signal transduction strategies that have been interfaced with various DNA-based nanostructures. We discuss the types of analytes and the detection scenarios that are sought after, delineate the advantages and disadvantages of each signaling strategy, and outline the key considerations that guide the selection of each signaling method.
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Affiliation(s)
- Seungheon Lee
- Department of Chemistry, The University of Texas at Austin, 105 E 24th Street, Austin, TX 78712, USA
| | - Shivudu Godhulayyagari
- Department of Chemistry, The University of Texas at Austin, 105 E 24th Street, Austin, TX 78712, USA
| | - Shadler T Nguyen
- Department of Molecular Biosciences, The University of Texas at Austin, 2500 Speedway, Austin, TX 78712, USA
| | - Jasmine K Lu
- Department of Chemistry, The University of Texas at Austin, 105 E 24th Street, Austin, TX 78712, USA
| | - Sasha B Ebrahimi
- Biopharmaceutical Product Sciences, GlaxoSmithKline, 1250 S Collegeville Road, Collegeville, PA 19426, USA
| | - Devleena Samanta
- Department of Chemistry, The University of Texas at Austin, 105 E 24th Street, Austin, TX 78712, USA
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26
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Cui Z, Li D, Yang W, Fan K, Liu H, Wen F, Li L, Dong L, Wang G, Wu W. An electrochemical biosensor based on few-layer MoS 2 nanosheets for highly sensitive detection of tumor marker ctDNA. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2022; 14:1956-1962. [PMID: 35531866 DOI: 10.1039/d2ay00467d] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
An electrochemical biosensor based on few-layer molybdenum disulfide (MoS2) nanosheets was fabricated for the highly sensitive detection of tumor marker circulating tumor DNA (ctDNA) in this paper. The MoS2 nanosheets with few layers were prepared by the shear stripping. Compared with the mechanical stripping method and the lithium ion intercalation method, this method is simpler to operate, and the prepared MoS2 nanosheets had good electrochemical activity. The biosensing platform was fabricated based on the discriminative affinity of MoS2 nanosheets towards single-stranded DNA (ssDNA) and double-stranded DNA (dsDNA). Methylene blue (MB) was used as the signal molecule. The results showed that the detection of ctDNA by this sensor showed an excellent linear relationship in the concentration range of 1.0 × 10-7 M to 1.0 × 10-16 M, and the detection limit was 2.5 × 10-18 M. In addition, this sensor exhibited outstanding stability and specificity. This strategy provides an alternative approach for ctDNA detection and an effective sensing strategy for future in vitro cancer diagnosis by label-free detection.
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Affiliation(s)
- Zhilian Cui
- Ministry of Education Engineering Research Center of Smart Microsensors and Microsystems, Hangzhou Dianzi University, Hangzhou, 310018, China.
- School of Electronics and Information, Hangzhou Dianzi University, Hangzhou, 310018, China
| | - Dujuan Li
- Ministry of Education Engineering Research Center of Smart Microsensors and Microsystems, Hangzhou Dianzi University, Hangzhou, 310018, China.
- School of Electronics and Information, Hangzhou Dianzi University, Hangzhou, 310018, China
| | - Weihuang Yang
- Ministry of Education Engineering Research Center of Smart Microsensors and Microsystems, Hangzhou Dianzi University, Hangzhou, 310018, China.
- School of Electronics and Information, Hangzhou Dianzi University, Hangzhou, 310018, China
| | - Kai Fan
- School of Automation, Hangzhou Dianzi University, Hangzhou, 310018, China
| | - Hongying Liu
- School of Automation, Hangzhou Dianzi University, Hangzhou, 310018, China
| | - Fei Wen
- Ministry of Education Engineering Research Center of Smart Microsensors and Microsystems, Hangzhou Dianzi University, Hangzhou, 310018, China.
- School of Electronics and Information, Hangzhou Dianzi University, Hangzhou, 310018, China
| | - Lili Li
- Ministry of Education Engineering Research Center of Smart Microsensors and Microsystems, Hangzhou Dianzi University, Hangzhou, 310018, China.
- School of Electronics and Information, Hangzhou Dianzi University, Hangzhou, 310018, China
| | - Linxi Dong
- Ministry of Education Engineering Research Center of Smart Microsensors and Microsystems, Hangzhou Dianzi University, Hangzhou, 310018, China.
- School of Electronics and Information, Hangzhou Dianzi University, Hangzhou, 310018, China
| | - Gaofeng Wang
- Ministry of Education Engineering Research Center of Smart Microsensors and Microsystems, Hangzhou Dianzi University, Hangzhou, 310018, China.
- School of Electronics and Information, Hangzhou Dianzi University, Hangzhou, 310018, China
| | - Wei Wu
- Ministry of Education Engineering Research Center of Smart Microsensors and Microsystems, Hangzhou Dianzi University, Hangzhou, 310018, China.
- School of Electronics and Information, Hangzhou Dianzi University, Hangzhou, 310018, China
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27
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Keyvani F, Debnath N, Ayman Saleh M, Poudineh M. An integrated microfluidic electrochemical assay for cervical cancer detection at point-of-care testing. NANOSCALE 2022; 14:6761-6770. [PMID: 35506790 DOI: 10.1039/d1nr08252c] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Cervical cancer (CC) is a major health care problem in low- and middle-income countries, necessitating the development of low-cost and easy-to-use assays for CC detection at point-of-care (POC) settings. An integrated microfluidic electrochemical assay for CC detection, named IMEAC, is presented that has the potential for identifying CC circulating DNA in whole blood samples. The IMEAC consists of two main modules: a plasma separator device that isolates plasma from whole blood with high purity and without the need for any external forces connected to a graphene oxide-based electrochemical biosensor that uses specific probe molecules for the detection of CC circulating DNA molecules. We fully characterize the performance of the individual modules and show that the integrated assay can be utilized for target DNA detection in whole blood samples, thus potentially transforming CC detection and screening at remote locations.
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Affiliation(s)
- Fatemeh Keyvani
- Department of Electrical and Computer Engineering, Faculty of Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada.
| | - Nandini Debnath
- Department of Electrical and Computer Engineering, Faculty of Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada.
| | - Mahmoud Ayman Saleh
- Department of Electrical and Computer Engineering, Faculty of Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada.
- Energy Materials Laboratory, School of Sciences and Engineering, The American University in Cairo, New Cairo 11835, Egypt
| | - Mahla Poudineh
- Department of Electrical and Computer Engineering, Faculty of Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada.
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28
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Zhu Q, Yang Y, Gao H, Xu LP, Wang S. Bioinspired superwettable electrodes towards electrochemical biosensing. Chem Sci 2022; 13:5069-5084. [PMID: 35655548 PMCID: PMC9093108 DOI: 10.1039/d2sc00614f] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 03/22/2022] [Indexed: 11/30/2022] Open
Abstract
Superwettable materials have attracted much attention due to their fascinating properties and great promise in several fields. Recently, superwettable materials have injected new vitality into electrochemical biosensors. Superwettable electrodes exhibit unique advantages, including large electrochemical active areas, electrochemical dynamics acceleration, and optimized management of mass transfer. In this review, the electrochemical reaction process at electrode/electrolyte interfaces and some fundamental understanding of superwettable materials are discussed. Then progress in different electrodes has been summarized, including superhydrophilic, superhydrophobic, superaerophilic, superaerophobic, and superwettable micropatterned electrodes, electrodes with switchable wettabilities, and electrodes with Janus wettabilities. Moreover, we also discussed the development of superwettable materials for wearable electrochemical sensors. Finally, our perspective for future research is presented.
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Affiliation(s)
- Qinglin Zhu
- Beijing Key Laboratory for Bioengineering and Sensing Technology, School of Chemistry and Biological Engineering, University of Science and Technology Beijing Beijing 100083 P. R. China
| | - Yuemeng Yang
- Beijing Key Laboratory for Bioengineering and Sensing Technology, School of Chemistry and Biological Engineering, University of Science and Technology Beijing Beijing 100083 P. R. China
| | - Hongxiao Gao
- Beijing Key Laboratory for Bioengineering and Sensing Technology, School of Chemistry and Biological Engineering, University of Science and Technology Beijing Beijing 100083 P. R. China
| | - Li-Ping Xu
- Beijing Key Laboratory for Bioengineering and Sensing Technology, School of Chemistry and Biological Engineering, University of Science and Technology Beijing Beijing 100083 P. R. China
| | - Shutao Wang
- CAS Key Laboratory of Bio-inspired Materials and Interfacial Science, Technical Institute of Physics and Chemistry, Chinese Academy of Sciences Beijing 100190 China
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29
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Lee S, Godhulayyagari S, Nguyen ST, Lu JK, Ebrahimi SB, Samanta D. Signal Transduction Strategies for Analyte Detection Using DNA‐Based Nanostructures. Angew Chem Int Ed Engl 2022. [DOI: 10.1002/ange.202202211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Seungheon Lee
- Department of Chemistry The University of Texas at Austin 105 E 24th Street Austin TX 78712 USA
| | - Shivudu Godhulayyagari
- Department of Chemistry The University of Texas at Austin 105 E 24th Street Austin TX 78712 USA
| | - Shadler T. Nguyen
- Department of Molecular Biosciences The University of Texas at Austin 2500 Speedway Austin TX 78712 USA
| | - Jasmine K. Lu
- Department of Chemistry The University of Texas at Austin 105 E 24th Street Austin TX 78712 USA
| | - Sasha B. Ebrahimi
- Biopharmaceutical Product Sciences GlaxoSmithKline 1250 S Collegeville Road Collegeville PA 19426 USA
| | - Devleena Samanta
- Department of Chemistry The University of Texas at Austin 105 E 24th Street Austin TX 78712 USA
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30
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Zhou M, Yin Y, Shi Y, Huang Z, Shi Y, Chen M, Ke G, Zhang XB. Spherical nucleic acid reporter-based cascade CRISPR/Cas12a amplifier for stable and sensitive biosensing of circulating tumor DNA. Chem Commun (Camb) 2022; 58:4508-4511. [PMID: 35302126 DOI: 10.1039/d2cc00960a] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Stable and sensitive ctDNA biosensing in complex biological fluid is highly important but still remains a challenge. Herein, we develop a spherical nucleic acid reporter-based cascade CRISPR/Cas12a amplifier with improved stability and sensitivity (5 orders of magnitude).
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Affiliation(s)
- Min Zhou
- College of Materials Science and Engineering, College of Chemistry and Chemical Engineering, Hunan University, Changsha, Hunan 410082, China.
| | - Yao Yin
- College of Materials Science and Engineering, College of Chemistry and Chemical Engineering, Hunan University, Changsha, Hunan 410082, China.
| | - Yuyan Shi
- College of Materials Science and Engineering, College of Chemistry and Chemical Engineering, Hunan University, Changsha, Hunan 410082, China.
| | - Zhaoxin Huang
- College of Materials Science and Engineering, College of Chemistry and Chemical Engineering, Hunan University, Changsha, Hunan 410082, China.
| | - Yu Shi
- College of Materials Science and Engineering, College of Chemistry and Chemical Engineering, Hunan University, Changsha, Hunan 410082, China.
| | - Mei Chen
- College of Materials Science and Engineering, College of Chemistry and Chemical Engineering, Hunan University, Changsha, Hunan 410082, China.
| | - Guoliang Ke
- College of Materials Science and Engineering, College of Chemistry and Chemical Engineering, Hunan University, Changsha, Hunan 410082, China.
| | - Xiao-Bing Zhang
- College of Materials Science and Engineering, College of Chemistry and Chemical Engineering, Hunan University, Changsha, Hunan 410082, China.
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31
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Lázaro A, Maquieira Á, Tortajada-Genaro LA. Discrimination of Single-Nucleotide Variants Based on an Allele-Specific Hybridization Chain Reaction and Smartphone Detection. ACS Sens 2022; 7:758-765. [PMID: 35188365 PMCID: PMC8961872 DOI: 10.1021/acssensors.1c02220] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
![]()
Massive DNA testing
requires novel technologies to support a sustainable
health system. In recent years, DNA superstructures have emerged as
alternative probes and transducers. We, herein, report a multiplexed
and highly sensitive approach based on an allele-specific hybridization
chain reaction (AS-HCR) in the array format to detect single-nucleotide
variants. Fast isothermal amplification was developed before activating
the HCR process on a chip to work with genomic DNA. The assay principle
was demonstrated, and the variables for integrating the AS-HCR process
and smartphone-based detection were also studied. The results were
compared to a conventional polymerase reaction chain (PCR)-based test.
The developed multiplex method enabled higher selectivity against
single-base mismatch sequences at concentrations as low as 103 copies with a limit of detection of 0.7% of the mutant DNA
percentage and good reproducibility (relative error: 5% for intra-assay
and 17% for interassay). As proof of concept, the AS-HCR method was
applied to clinical samples, including human cell cultures and biopsied
tissues of cancer patients. Accurate identification of single-nucleotide
mutations in KRAS and NRAS genes
was validated, considering those obtained from the reference sequencing
method. To conclude, AS-HCR is a rapid, simple, accurate, and cost-effective
isothermal method that detects clinically relevant genetic variants
and has a high potential for point-of-care demands.
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Affiliation(s)
- Ana Lázaro
- Instituto Interuniversitario de Investigación de Reconocimiento Molecular y Desarrollo Tecnológico (IDM), Universitat Politècnica de València, Universitat de València, Camino de Vera s/n, 46022 Valencia, Spain
| | - Ángel Maquieira
- Instituto Interuniversitario de Investigación de Reconocimiento Molecular y Desarrollo Tecnológico (IDM), Universitat Politècnica de València, Universitat de València, Camino de Vera s/n, 46022 Valencia, Spain
- Unidad Mixta UPV-La Fe, Nanomedicine and Sensors, Av. Fernando Abril Martorell, 46026 Valencia, Spain
| | - Luis A. Tortajada-Genaro
- Instituto Interuniversitario de Investigación de Reconocimiento Molecular y Desarrollo Tecnológico (IDM), Universitat Politècnica de València, Universitat de València, Camino de Vera s/n, 46022 Valencia, Spain
- Unidad Mixta UPV-La Fe, Nanomedicine and Sensors, Av. Fernando Abril Martorell, 46026 Valencia, Spain
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32
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Fortunati S, Vasini I, Giannetto M, Mattarozzi M, Porchetta A, Bertucci A, Careri M. Controlling Dynamic DNA Reactions at the Surface of Single-Walled Carbon Nanotube Electrodes to Design Hybridization Platforms with a Specific Amperometric Readout. Anal Chem 2022; 94:5075-5083. [PMID: 35303407 PMCID: PMC8968946 DOI: 10.1021/acs.analchem.1c05294] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
![]()
Carbon nanotube (CNT)-based
electrodes are cheap, highly performing,
and robust platforms for the fabrication of electrochemical sensors.
Engineering programmable DNA nanotechnologies on the CNT surface can
support the construction of new electrochemical DNA sensors providing
an amperometric output in response to biomolecular recognition. This
is a significant challenge, since it requires gaining control of specific
hybridization processes and functional DNA systems at the interface,
while limiting DNA physisorption on the electrode surface, which contributes
to nonspecific signal. In this study, we provide design rules to program
dynamic DNA structures at the surface of single-walled carbon nanotubes
electrodes, showing that specific DNA interactions can be monitored
through measurement of the current signal provided by redox-tagged
DNA strands. We propose the use of pyrene as a backfilling agent to
reduce nonspecific adsorption of reporter DNA strands and demonstrate
the controlled formation of DNA duplexes on the electrode surface,
which we then apply in the design and conduction of programmable DNA
strand displacement reactions. Expanding on this aspect, we report
the development of novel amperometric hybridization platforms based
on artificial DNA structures templated by the small molecule melamine.
These platforms enable dynamic strand exchange reactions orthogonal
to conventional toehold-mediated strand displacement and may support
new strategies in electrochemical sensing of biomolecular targets,
combining the physicochemical properties of nanostructured carbon-based
materials with programmable nucleic acid hybridization.
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Affiliation(s)
- Simone Fortunati
- Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, 43124 Parma, Italy
| | - Ilaria Vasini
- Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, 43124 Parma, Italy
| | - Marco Giannetto
- Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, 43124 Parma, Italy
| | - Monica Mattarozzi
- Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, 43124 Parma, Italy
| | - Alessandro Porchetta
- Department of Chemical Sciences, University of Rome Tor Vergata, 00133 Rome, Italy
| | - Alessandro Bertucci
- Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, 43124 Parma, Italy
| | - Maria Careri
- Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, 43124 Parma, Italy
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33
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Qin J, Wang W, Gao L, Yao SQ. Emerging biosensing and transducing techniques for potential applications in point-of-care diagnostics. Chem Sci 2022; 13:2857-2876. [PMID: 35382472 PMCID: PMC8905799 DOI: 10.1039/d1sc06269g] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Accepted: 01/11/2022] [Indexed: 12/24/2022] Open
Abstract
With the deepening of our understanding in life science, molecular biology, nanotechnology, optics, electrochemistry and other areas, an increasing number of biosensor design strategies have emerged in recent years, capable of providing potential practical applications for point-of-care (POC) diagnosis in various human diseases. Compared to conventional biosensors, the latest POC biosensor research aims at improving sensor precision, cost-effectiveness and time-consumption, as well as the development of versatile detection strategies to achieve multiplexed analyte detection in a single device and enable rapid diagnosis and high-throughput screening. In this review, various intriguing strategies in the recognition and transduction of POC (from 2018 to 2021) are described in light of recent advances in CRISPR technology, electrochemical biosensing, and optical- or spectra-based biosensing. From the perspective of promoting emerging bioanalytical tools into practical POC detecting and diagnostic applications, we have summarized key advances made in this field in recent years and presented our own perspectives on future POC development and challenges.
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Affiliation(s)
- Junjie Qin
- Department of Chemistry, National University of Singapore 4 Science Drive 2 Singapore 117544
| | - Wei Wang
- Department of Chemistry, National University of Singapore 4 Science Drive 2 Singapore 117544
- School of Pharmaceutical Sciences, Sun Yat-sen University Shenzhen 518107 P. R. China
| | - Liqian Gao
- School of Pharmaceutical Sciences, Sun Yat-sen University Shenzhen 518107 P. R. China
| | - Shao Q Yao
- Department of Chemistry, National University of Singapore 4 Science Drive 2 Singapore 117544
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34
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Song P, Wu LR, Yan YH, Zhang JX, Chu T, Kwong LN, Patel AA, Zhang DY. Limitations and opportunities of technologies for the analysis of cell-free DNA in cancer diagnostics. Nat Biomed Eng 2022; 6:232-245. [PMID: 35102279 PMCID: PMC9336539 DOI: 10.1038/s41551-021-00837-3] [Citation(s) in RCA: 50] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Accepted: 05/27/2021] [Indexed: 12/15/2022]
Abstract
Cell-free DNA (cfDNA) in the circulating blood plasma of patients with cancer contains tumour-derived DNA sequences that can serve as biomarkers for guiding therapy, for the monitoring of drug resistance, and for the early detection of cancers. However, the analysis of cfDNA for clinical diagnostic applications remains challenging because of the low concentrations of cfDNA, and because cfDNA is fragmented into short lengths and is susceptible to chemical damage. Barcodes of unique molecular identifiers have been implemented to overcome the intrinsic errors of next-generation sequencing, which is the prevailing method for highly multiplexed cfDNA analysis. However, a number of methodological and pre-analytical factors limit the clinical sensitivity of the cfDNA-based detection of cancers from liquid biopsies. In this Review, we describe the state-of-the-art technologies for cfDNA analysis, with emphasis on multiplexing strategies, and discuss outstanding biological and technical challenges that, if addressed, would substantially improve cancer diagnostics and patient care.
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Affiliation(s)
- Ping Song
- Department of Bioengineering, Rice University, Houston, TX, USA
| | - Lucia Ruojia Wu
- Department of Bioengineering, Rice University, Houston, TX, USA
| | | | | | - Tianqing Chu
- Department of Respiratory Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Lawrence N Kwong
- Department of Translational Molecular Pathology, MD Anderson Cancer Center, Houston, TX, USA
| | - Abhijit A Patel
- Department of Therapeutic Radiology, Yale School of Medicine, New Haven, CT, USA
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35
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Abouali H, Hosseini SA, Purcell E, Nagrath S, Poudineh M. Recent Advances in Device Engineering and Computational Analysis for Characterization of Cell-Released Cancer Biomarkers. Cancers (Basel) 2022; 14:288. [PMID: 35053452 PMCID: PMC8774172 DOI: 10.3390/cancers14020288] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 12/21/2021] [Accepted: 01/04/2022] [Indexed: 02/04/2023] Open
Abstract
During cancer progression, tumors shed different biomarkers into the bloodstream, including circulating tumor cells (CTCs), extracellular vesicles (EVs), circulating cell-free DNA (cfDNA), and circulating tumor DNA (ctDNA). The analysis of these biomarkers in the blood, known as 'liquid biopsy' (LB), is a promising approach for early cancer detection and treatment monitoring, and more recently, as a means for cancer therapy. Previous reviews have discussed the role of CTCs and ctDNA in cancer progression; however, ctDNA and EVs are rapidly evolving with technological advancements and computational analysis and are the subject of enormous recent studies in cancer biomarkers. In this review, first, we introduce these cell-released cancer biomarkers and briefly discuss their clinical significance in cancer diagnosis and treatment monitoring. Second, we present conventional and novel approaches for the isolation, profiling, and characterization of these markers. We then investigate the mathematical and in silico models that are developed to investigate the function of ctDNA and EVs in cancer progression. We convey our views on what is needed to pave the way to translate the emerging technologies and models into the clinic and make the case that optimized next-generation techniques and models are needed to precisely evaluate the clinical relevance of these LB markers.
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Affiliation(s)
- Hesam Abouali
- Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada; (H.A.); (S.A.H.)
| | - Seied Ali Hosseini
- Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada; (H.A.); (S.A.H.)
| | - Emma Purcell
- Department of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109-2800, USA; (E.P.); (S.N.)
| | - Sunitha Nagrath
- Department of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109-2800, USA; (E.P.); (S.N.)
| | - Mahla Poudineh
- Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada; (H.A.); (S.A.H.)
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36
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Ma N, Liu J, Liu B, Li L, Kong J, Zhang X. Coenzyme-catalyzed electroinitiated reversible addition fragmentation chain transfer polymerization for ultrasensitive electrochemical DNA detection. Talanta 2022; 236:122840. [PMID: 34635230 DOI: 10.1016/j.talanta.2021.122840] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2021] [Revised: 08/28/2021] [Accepted: 08/31/2021] [Indexed: 12/19/2022]
Abstract
Ultrasensitive detection of biomarkers at an early stage is generally limited by external influence factors such as high reaction temperature, complex operations, and sophisticated instruments. Here, we circumvent these problems by using nicotinamide adenine dinucleotide (NAD+) to control electroinitiated reversible addition fragmentation chain transfer (electro-RAFT) polymerization for biosensing that enables the detection of a few molecules of target DNA. In this coenzyme-catalyzed electro-RAFT polymerization, numerous ferrocenylmethyl methacrylate (FCMMA) as monomer with electrochemistry signal were linked to the biomarker on Au electrode. Afterwards, a strong oxidation peak appears at the potential of about 0.3 V that represents a typical oxidation potential of FCMMA. The sensitivity of this methodology was presented by detecting DNA from 10-1 to 104 fM concentration and detection limit (LOD) being down to 4.39 aM in 10 μL samples. This is lower by factors than detection limits of most other ultra-sensitive electrochemical DNA assays.
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Affiliation(s)
- Nan Ma
- School of Environmental and Biological Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, 210094, PR China
| | - Jingliang Liu
- School of Environmental Science, Nanjing Xiaozhuang University, Nanjing, 211171, PR China
| | - Bang Liu
- School of Environmental and Biological Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, 210094, PR China
| | - Lianzhi Li
- School of Chemistry and Chemical Engineering, Liaocheng University, Liaocheng, 252059, PR China
| | - Jinming Kong
- School of Environmental and Biological Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, 210094, PR China.
| | - Xueji Zhang
- School of Biomedical Engineering, Shenzhen University Health Science Center, Shenzhen, Guangdong, 518060, PR China
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37
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Usha SP, Manoharan H, Deshmukh R, Álvarez-Diduk R, Calucho E, Sai VVR, Merkoçi A. Attomolar analyte sensing techniques (AttoSens): a review on a decade of progress on chemical and biosensing nanoplatforms. Chem Soc Rev 2021; 50:13012-13089. [PMID: 34673860 DOI: 10.1039/d1cs00137j] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Detecting the ultra-low abundance of analytes in real-life samples, such as biological fluids, water, soil, and food, requires the design and development of high-performance biosensing modalities. The breakthrough efforts from the scientific community have led to the realization of sensing technologies that measure the analyte's ultra-trace level, with relevant sensitivity, selectivity, response time, and sampling efficiency, referred to as Attomolar Analyte Sensing Techniques (AttoSens) in this review. In an AttoSens platform, 1 aM detection corresponds to the quantification of 60 target analyte molecules in 100 μL of sample volume. Herein, we review the approaches listed for various sensor probe design, and their sensing strategies that paved the way for the detection of attomolar (aM: 10-18 M) concentration of analytes. A summary of the technological advances made by the diverse AttoSens trends from the past decade is presented.
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Affiliation(s)
- Sruthi Prasood Usha
- Biomedical Engineering, Department of Applied Mechanics, Indian Institute of Technology Madras (IITM), India.
| | - Hariharan Manoharan
- Biomedical Engineering, Department of Applied Mechanics, Indian Institute of Technology Madras (IITM), India.
| | - Rehan Deshmukh
- Biomedical Engineering, Department of Applied Mechanics, Indian Institute of Technology Madras (IITM), India.
| | - Ruslan Álvarez-Diduk
- Nanobioelectronics & Biosensors Group, Institut Català de Nanociència i Nanotecnologia (ICN2), Campus UAB, Barcelona, Spain.
| | - Enric Calucho
- Nanobioelectronics & Biosensors Group, Institut Català de Nanociència i Nanotecnologia (ICN2), Campus UAB, Barcelona, Spain.
| | - V V R Sai
- Biomedical Engineering, Department of Applied Mechanics, Indian Institute of Technology Madras (IITM), India.
| | - Arben Merkoçi
- Nanobioelectronics & Biosensors Group, Institut Català de Nanociència i Nanotecnologia (ICN2), Campus UAB, Barcelona, Spain. .,ICREA, Institució Catalana de Recercai Estudis Avançats, Barcelona, Spain
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38
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Adams AC, Jha S, Lary DJ, Slinker JD. Machine Learning for Estimating Electron Transfer Rates From Square Wave Voltammetry. Chempluschem 2021; 87:e202100418. [PMID: 34859611 DOI: 10.1002/cplu.202100418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2021] [Revised: 11/11/2021] [Indexed: 11/12/2022]
Abstract
Electrochemistry of surface-bound molecules is of high importance for numerous electronic and sensor applications. Extracting the electron transfer rate is beneficial for understanding surface-bound processes, but it requires experimental or computational rigor. We evaluate methods to determine electron transfer rates from large voltammetry sets from experiments via machine learning using decision tree ensembles, neural networks, and gaussian process regression models. We applied these to reproduce computational measures of electron transfer rates modeled by first principles. The best machine learning models were a random forest with 80 decision trees and a neural network with Bayesian regularization, producing root mean squared errors of 0.37 and 0.49 s-1 , respectively, corresponding to mean percent errors of 0.38 % and 0.52 %, respectively. This work establishes machine learning methods for rapidly acquiring electron transfer rates across large datasets for widespread applications.
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Affiliation(s)
- Austen C Adams
- Department of Physics, The University of Texas at Dallas, 800W. Campbell Rd., SCI 10, Richardson, TX 75080, USA
| | - Sauraj Jha
- Department of Materials Science and Engineering, The University of Texas at Dallas, 800W. Campbell Rd., SCI 10, Richardson, TX 75080, USA
| | - David J Lary
- Department of Physics, The University of Texas at Dallas, 800W. Campbell Rd., SCI 10, Richardson, TX 75080, USA
| | - Jason D Slinker
- Department of Physics, The University of Texas at Dallas, 800W. Campbell Rd., SCI 10, Richardson, TX 75080, USA
- Department of Materials Science and Engineering, The University of Texas at Dallas, 800W. Campbell Rd., SCI 10, Richardson, TX 75080, USA
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39
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Tan J, Wen Y, Li M. Emerging biosensing platforms for quantitative detection of exosomes as diagnostic biomarkers. Coord Chem Rev 2021. [DOI: 10.1016/j.ccr.2021.214111] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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40
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Yang X, Liao M, Zhang H, Gong J, Yang F, Xu M, Tremblay PL, Zhang T. An electrochemiluminescence resonance energy transfer biosensor for the detection of circulating tumor DNA from blood plasma. iScience 2021; 24:103019. [PMID: 34522862 PMCID: PMC8426273 DOI: 10.1016/j.isci.2021.103019] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 08/02/2021] [Accepted: 08/18/2021] [Indexed: 01/14/2023] Open
Abstract
A liquid biopsy is a noninvasive approach for detecting double-stranded circulating tumor DNA (ctDNA) of 90-320 nucleotides in blood plasma from patients with cancer. Most techniques employed for ctDNA detection are time consuming and require expensive DNA purification kits. Electrochemiluminescence resonance energy transfer (ECL-RET) biosensors exhibit high sensitivity, a wide response range, and are promising for straightforward sensing applications. Until now, ECL-RET biosensors have been designed for sensing short single-stranded oligonucleotides of less than 45 nucleotides. In this work, an ECL-RET biosensor comprising graphitic carbon nitride quantum dots was assessed for the amplification-free detection in the blood plasma of DNA molecules coding for the EGFR L858R mutation, which is associated with non-small-cell lung cancer. Following a low-cost pre-treatment, the highly specific ECL-RET biosensor quantified double-stranded EGFR L858R DNA of 159 nucleotides diluted into the blood within a linear range of 0.01 fM to 1 pM, demonstrating its potential for noninvasive biopsies.
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Affiliation(s)
- Xidong Yang
- School of Chemistry, Chemical Engineering, and Life Science, Wuhan University of Technology, Wuhan 430070, PR China
- Shaoxing Institute for Advanced Research, Wuhan University of Technology, Shaoxing 312300, PR China
| | - Meiyan Liao
- Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan 430071, China
| | - Hanfei Zhang
- Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan 430071, China
| | - JinBo Gong
- School of Chemistry, Chemical Engineering, and Life Science, Wuhan University of Technology, Wuhan 430070, PR China
| | - Fan Yang
- School of Chemistry, Chemical Engineering, and Life Science, Wuhan University of Technology, Wuhan 430070, PR China
| | - Mengying Xu
- School of Chemistry, Chemical Engineering, and Life Science, Wuhan University of Technology, Wuhan 430070, PR China
- Shaoxing Institute for Advanced Research, Wuhan University of Technology, Shaoxing 312300, PR China
| | - Pier-Luc Tremblay
- School of Chemistry, Chemical Engineering, and Life Science, Wuhan University of Technology, Wuhan 430070, PR China
- Shaoxing Institute for Advanced Research, Wuhan University of Technology, Shaoxing 312300, PR China
- State Key Laboratory of Silicate Materials for Architectures, Wuhan University of Technology, Wuhan 430070, PR China
| | - Tian Zhang
- School of Chemistry, Chemical Engineering, and Life Science, Wuhan University of Technology, Wuhan 430070, PR China
- Shaoxing Institute for Advanced Research, Wuhan University of Technology, Shaoxing 312300, PR China
- State Key Laboratory of Silicate Materials for Architectures, Wuhan University of Technology, Wuhan 430070, PR China
- School of Materials Science and Engineering, Wuhan University of Technology, Wuhan 430070, PR China
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41
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Del Real Mata C, Siavash Moakhar R, Hosseini II, Jalali M, Mahshid S. A nanostructured microfluidic device for plasmon-assisted electrochemical detection of hydrogen peroxide released from cancer cells. NANOSCALE 2021; 13:14316-14329. [PMID: 34477715 DOI: 10.1039/d0nr07608b] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Non-invasive liquid biopsies offer hope for a rapid, risk-free, real-time glimpse into cancer diagnostics. Recently, hydrogen peroxide (H2O2) was identified as a cancer biomarker due to its continued release from cancer cells compared to normal cells. The precise monitoring and quantification of H2O2 are hindered by its low concentration and the limit of detection (LOD) in traditional sensing methods. Plasmon-assisted electrochemical sensors with their high sensitivity and low LOD make a suitable candidate for effective detection of H2O2, yet their electrical properties need to be improved. Here, we propose a new nanostructured microfluidic device for ultrasensitive, quantitative detection of H2O2 released from cancer cells in a portable fashion. The fluidic device features a series of self-organized gold nanocavities, enhanced with graphene nanosheets having optoelectrical properties, which facilitate the plasmon-assisted electrochemical detection of H2O2 released from human cells. Remarkably, the device can successfully measure the released H2O2 from breast cancer (MCF-7) and prostate cancer (PC3) cells in human plasma. Briefly, direct amperometric detection of H2O2 under simulated visible light illumination showed a superb LOD of 1 pM in a linear range of 1 pM-10 μM. We thoroughly studied the formation of self-organized plasmonic nanocavities on gold electrodes via surface and photo-electrochemical characterization techniques. In addition, the finite-difference time domain (FDTD) simulation of the electric field demonstrates the intensity of charge distribution at the nanocavity structure edges under visible light illumination. The superb LOD of the proposed electrode combining gold plasmonic nanocavities and graphene sheets paves the way for the development of non-invasive plasmon-assisted electrochemical sensors that can effectively detect low concentrations of H2O2 released from cancer cells.
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42
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Kim CJ, Dong L, Amend SR, Cho YK, Pienta KJ. The role of liquid biopsies in prostate cancer management. LAB ON A CHIP 2021; 21:3263-3288. [PMID: 34346466 DOI: 10.1039/d1lc00485a] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Liquid biopsy has emerged as a complement to invasive tissue biopsy to guide cancer diagnosis and treatment. The common liquid biopsy biomarkers are circulating tumor cells (CTCs), extracellular vesicles (EVs), and circulating tumor DNA (ctDNA). Each biomarker provides specific information based on its intrinsic characteristics. Prostate cancer is the second most common cancer in males worldwide. In men with low-grade localized prostate cancer, the disease can often be managed by active surveillance. For men who require treatment, the 5-year survival rate of localized prostate cancer is the highest among all cancer types, but the metastatic disease remains incurable. Metastatic prostate cancer invariably progresses to involve multiple bone sites and develops into a castration-resistant disease that leads to cancer death. The need to appropriately diagnose and guide the serial treatment of men with prostate cancer has led to the implementation of many studies to apply liquid biopsies to prostate cancer management. This review describes recent advancements in isolation and detection technology and the strength and weaknesses of the three circulating biomarkers. The clinical studies based on liquid biopsy results are summarized to depict the future perspective in the role of liquid biopsy on prostate cancer management.
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Affiliation(s)
- Chi-Ju Kim
- The Brady Urological Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.
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43
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LaFave ER, Tarpey MD, Balestrieri NP, Spangenburg EE, Hvastkovs EG. Complementary Square-Wave Voltammetry and LC-MS/MS Analysis to Elucidate Induced Damaged and Mutated Mitochondrial and Nuclear DNA from in Vivo Knockdown of the BRCA1 Gene in the Mouse Skeletal Muscle. Anal Chem 2021; 93:11592-11600. [PMID: 34383484 PMCID: PMC8796311 DOI: 10.1021/acs.analchem.1c02249] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Breast cancer 1 gene (BRCA1) DNA mutations impact skeletal muscle functions. Inducible skeletal muscle specific Brca1 homozygote knockout (Brca1KOsmi, KO) mice accumulate mitochondrial DNA (mtDNA) mutations resulting in loss of muscle quality.1 Complementary electrochemical andmass spectrometry analyses were utilized to rapidly assess mtDNA or nuclear DNA (nDNA) extracted directly from mouse skeletal muscles. Oxidative peak currents (Ip) from DNA immobilized layer by layer (LbL) were monitored using square-wave voltammetry (SWV) via Ru(bpy)32+ electrocatalysis. Ip significantly decreased (p < 0.05) for KO mtDNA compared to heterozygous KO (Het) or wild type (WT), indicative of decreases in the guanine content. nDNA Ip significantly increased in KO compared to WT (p < 0.05), suggesting an accumulation of damaged nDNA. Guanine or oxidatively damaged guanine content was monitored via appropriate m/z mass transitions using liquid chromatography-tandem mass spectroscopy (LC-MS/MS). Guanine in both KO mtDNA and nDNA was significantly lower, while oxidatively damaged guanine in KO nDNA was significantly elevated versus WT. These data demonstrate a loss of guanine content consistent with mtDNA mutation accumulation. Oxidative damage in KO nDNA suggests that repair processes associated with Brca1 are impacted. Overall, electrochemical and LC-MS/MS analysis can provide chemical-level answers to biological model phenotypic responses as a rapid and cost-effective analysis alternative to established assays.
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Affiliation(s)
- Elizabeth R. LaFave
- East Carolina University Department of Chemistry, 300 Science and Technology Bldg., Greenville, NC 27858
| | - Michael D. Tarpey
- East Carolina University Department of Physiology, Brody School of Medicine, Greenville, NC 27834
| | - Nicholas P. Balestrieri
- East Carolina University Department of Physiology, Brody School of Medicine, Greenville, NC 27834
| | - Espen E. Spangenburg
- East Carolina University Department of Physiology, Brody School of Medicine, Greenville, NC 27834
- East Carolina Diabetes and Obesity Institute, 115 Heart Dr, East Carolina University, Greenville NC, 27834
| | - Eli G. Hvastkovs
- East Carolina University Department of Chemistry, 300 Science and Technology Bldg., Greenville, NC 27858
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44
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Zhang JX, Yordanov B, Gaunt A, Wang MX, Dai P, Chen YJ, Zhang K, Fang JZ, Dalchau N, Li J, Phillips A, Zhang DY. A deep learning model for predicting next-generation sequencing depth from DNA sequence. Nat Commun 2021; 12:4387. [PMID: 34282137 PMCID: PMC8290051 DOI: 10.1038/s41467-021-24497-8] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Accepted: 06/17/2021] [Indexed: 11/29/2022] Open
Abstract
Targeted high-throughput DNA sequencing is a primary approach for genomics and molecular diagnostics, and more recently as a readout for DNA information storage. Oligonucleotide probes used to enrich gene loci of interest have different hybridization kinetics, resulting in non-uniform coverage that increases sequencing costs and decreases sequencing sensitivities. Here, we present a deep learning model (DLM) for predicting Next-Generation Sequencing (NGS) depth from DNA probe sequences. Our DLM includes a bidirectional recurrent neural network that takes as input both DNA nucleotide identities as well as the calculated probability of the nucleotide being unpaired. We apply our DLM to three different NGS panels: a 39,145-plex panel for human single nucleotide polymorphisms (SNP), a 2000-plex panel for human long non-coding RNA (lncRNA), and a 7373-plex panel targeting non-human sequences for DNA information storage. In cross-validation, our DLM predicts sequencing depth to within a factor of 3 with 93% accuracy for the SNP panel, and 99% accuracy for the non-human panel. In independent testing, the DLM predicts the lncRNA panel with 89% accuracy when trained on the SNP panel. The same model is also effective at predicting the measured single-plex kinetic rate constants of DNA hybridization and strand displacement. DNA probes used in next generation sequencing (NGS) have variable hybridisation kinetics, resulting in non-uniform coverage. Here, the authors develop a deep learning model to predict NGS depth using DNA probe sequences and apply to human and non-human sequencing panels.
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Affiliation(s)
- Jinny X Zhang
- Department of Bioengineering, Rice University, Houston, TX, USA.,Systems, Synthetic, and Physical Biology, Rice University, Houston, TX, USA
| | - Boyan Yordanov
- Microsoft Research, Cambridge, UK.,Scientific Technologies, London, UK
| | | | - Michael X Wang
- Department of Bioengineering, Rice University, Houston, TX, USA
| | - Peng Dai
- Department of Bioengineering, Rice University, Houston, TX, USA
| | | | - Kerou Zhang
- Department of Bioengineering, Rice University, Houston, TX, USA
| | - John Z Fang
- Department of Bioengineering, Rice University, Houston, TX, USA
| | | | - Jiaming Li
- Department of Bioengineering, Rice University, Houston, TX, USA.,Systems, Synthetic, and Physical Biology, Rice University, Houston, TX, USA
| | | | - David Yu Zhang
- Department of Bioengineering, Rice University, Houston, TX, USA. .,Systems, Synthetic, and Physical Biology, Rice University, Houston, TX, USA.
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45
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Li M, Yin F, Song L, Mao X, Li F, Fan C, Zuo X, Xia Q. Nucleic Acid Tests for Clinical Translation. Chem Rev 2021; 121:10469-10558. [PMID: 34254782 DOI: 10.1021/acs.chemrev.1c00241] [Citation(s) in RCA: 78] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Nucleic acids, including deoxyribonucleic acid (DNA) and ribonucleic acid (RNA), are natural biopolymers composed of nucleotides that store, transmit, and express genetic information. Overexpressed or underexpressed as well as mutated nucleic acids have been implicated in many diseases. Therefore, nucleic acid tests (NATs) are extremely important. Inspired by intracellular DNA replication and RNA transcription, in vitro NATs have been extensively developed to improve the detection specificity, sensitivity, and simplicity. The principles of NATs can be in general classified into three categories: nucleic acid hybridization, thermal-cycle or isothermal amplification, and signal amplification. Driven by pressing needs in clinical diagnosis and prevention of infectious diseases, NATs have evolved to be a rapidly advancing field. During the past ten years, an explosive increase of research interest in both basic research and clinical translation has been witnessed. In this review, we aim to provide comprehensive coverage of the progress to analyze nucleic acids, use nucleic acids as recognition probes, construct detection devices based on nucleic acids, and utilize nucleic acids in clinical diagnosis and other important fields. We also discuss the new frontiers in the field and the challenges to be addressed.
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Affiliation(s)
- Min Li
- Institute of Molecular Medicine, Department of Liver Surgery, Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Fangfei Yin
- Institute of Molecular Medicine, Department of Liver Surgery, Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Lu Song
- Institute of Molecular Medicine, Department of Liver Surgery, Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China.,Division of Physical Biology, CAS Key Laboratory of Interfacial Physics and Technology, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - Xiuhai Mao
- Institute of Molecular Medicine, Department of Liver Surgery, Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Fan Li
- Institute of Molecular Medicine, Department of Liver Surgery, Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Chunhai Fan
- School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Xiaolei Zuo
- Institute of Molecular Medicine, Department of Liver Surgery, Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China.,School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Qiang Xia
- Institute of Molecular Medicine, Department of Liver Surgery, Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
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46
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Park J, Park JS, Huang CH, Jo A, Cook K, Wang R, Lin HY, Deun JV, Li H, Min J, Wang L, Yoon G, Carter BS, Balaj L, Choi GS, Castro CM, Weissleder R, Lee H. An integrated magneto-electrochemical device for the rapid profiling of tumour extracellular vesicles from blood plasma. Nat Biomed Eng 2021; 5:678-689. [PMID: 34183802 PMCID: PMC8437135 DOI: 10.1038/s41551-021-00752-7] [Citation(s) in RCA: 73] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2019] [Accepted: 05/18/2021] [Indexed: 02/02/2023]
Abstract
Assays for cancer diagnosis via the analysis of biomarkers on circulating extracellular vesicles (EVs) typically have lengthy sample workups, limited throughput or insufficient sensitivity, or do not use clinically validated biomarkers. Here we report the development and performance of a 96-well assay that integrates the enrichment of EVs by antibody-coated magnetic beads and the electrochemical detection, in less than one hour of total assay time, of EV-bound proteins after enzymatic amplification. By using the assay with a combination of antibodies for clinically relevant tumour biomarkers (EGFR, EpCAM, CD24 and GPA33) of colorectal cancer (CRC), we classified plasma samples from 102 patients with CRC and 40 non-CRC controls with accuracies of more than 96%, prospectively assessed a cohort of 90 patients, for whom the burden of tumour EVs was predictive of five-year disease-free survival, and longitudinally analysed plasma from 11 patients, for whom the EV burden declined after surgery and increased on relapse. Rapid assays for the detection of combinations of tumour biomarkers in plasma EVs may aid cancer detection and patient monitoring.
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Affiliation(s)
- Jongmin Park
- Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA,Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA,Department of Chemistry, Kangwon National University, Chuncheon 24341, Korea
| | - Jun Seok Park
- Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA,Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA,Department of Surgery, Kyungpook National University Hospital, Kyungpook National University School of Medicine, Daegu, Korea
| | - Chen-Han Huang
- Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA,Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA,Department of Biomedical Sciences and Engineering, National Central University, Taoyuan 32001, Taiwan
| | - Ala Jo
- Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA,Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Kaitlyn Cook
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA
| | - Rui Wang
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA,Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, MA 02215, USA
| | - Hsing-Ying Lin
- Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA,Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Jan Van Deun
- Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA,Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Huiyan Li
- Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA,Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Jouha Min
- Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA,Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Lan Wang
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Ghilsuk Yoon
- Department of Pathology, School of Medicine, Kyungpook National University, Daegu 41944, Korea
| | - Bob S. Carter
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Leonora Balaj
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Gyu-Seog Choi
- Department of Surgery, Kyungpook National University Hospital, Kyungpook National University School of Medicine, Daegu, Korea
| | - Cesar M. Castro
- Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA,Cancer Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Ralph Weissleder
- Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA,Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA,Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA,Correspondence and requests for materials should be addressed to ;
| | - Hakho Lee
- Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA,Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA,Correspondence and requests for materials should be addressed to ;
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47
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Bellassai N, D’Agata R, Marti A, Rozzi A, Volpi S, Allegretti M, Corradini R, Giacomini P, Huskens J, Spoto G. Detection of Tumor DNA in Human Plasma with a Functional PLL-Based Surface Layer and Plasmonic Biosensing. ACS Sens 2021; 6:2307-2319. [PMID: 34032412 PMCID: PMC8294610 DOI: 10.1021/acssensors.1c00360] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Accepted: 05/13/2021] [Indexed: 12/20/2022]
Abstract
Standard protocols for the analysis of circulating tumor DNA (ctDNA) include the isolation of DNA from the patient's plasma and its amplification and analysis in buffered solutions. The application of such protocols is hampered by several factors, including the complexity and time-constrained preanalytical procedures, risks for sample contamination, extended analysis time, and assay costs. A recently introduced nanoparticle-enhanced surface plasmon resonance imaging-based assay has been shown to simplify procedures for the direct detection of tumor DNA in the patient's plasma, greatly simplifying the cumbersome preanalytical phase. To further simplify the protocol, a new dual-functional low-fouling poly-l-lysine (PLL)-based surface layer has been introduced that is described herein. The new PLL-based layer includes a densely immobilized CEEEEE oligopeptide to create a charge-balanced system preventing the nonspecific adsorption of plasma components on the sensor surface. The layer also comprises sparsely attached peptide nucleic acid probes complementary to the sequence of circulating DNA, e.g., the analyte that has to be captured in the plasma from cancer patients. We thoroughly investigated the contribution of each component of the dual-functional polymer to the antifouling properties of the surface layer. The low-fouling property of the new surface layer allowed us to detect wild-type and KRAS p.G12D-mutated DNA in human plasma at the attomolar level (∼2.5 aM) and KRAS p.G13D-mutated tumor DNA in liquid biopsy from a cancer patient with almost no preanalytical treatment of the patient's plasma, no need to isolate DNA from plasma, and without PCR amplification of the target sequence.
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Affiliation(s)
- Noemi Bellassai
- Department
of Chemical Sciences, University of Catania, Viale Andrea Doria 6, 95122 Catania, Italy
| | - Roberta D’Agata
- Department
of Chemical Sciences, University of Catania, Viale Andrea Doria 6, 95122 Catania, Italy
- INBB,
Istituto Nazionale di Biostrutture e Biosistemi, Viale delle Medaglie d’Oro, 305, 00136 Roma, Italy
| | - Almudena Marti
- Department
of Molecules & Materials, MESA+ Institute for Nanotechnology,
Faculty of Science & Technology, University
of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands
| | - Andrea Rozzi
- Department
of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area Delle Scienze, 17/A, 43124 Parma, Italy
| | - Stefano Volpi
- Department
of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area Delle Scienze, 17/A, 43124 Parma, Italy
| | - Matteo Allegretti
- Oncogenomics
and Epigenetics, IRCCS Regina Elena National
Cancer Institute, Via
Elio Chianesi, 53, 00144 Rome, Italy
| | - Roberto Corradini
- INBB,
Istituto Nazionale di Biostrutture e Biosistemi, Viale delle Medaglie d’Oro, 305, 00136 Roma, Italy
- Department
of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area Delle Scienze, 17/A, 43124 Parma, Italy
| | - Patrizio Giacomini
- Oncogenomics
and Epigenetics, IRCCS Regina Elena National
Cancer Institute, Via
Elio Chianesi, 53, 00144 Rome, Italy
| | - Jurriaan Huskens
- Department
of Molecules & Materials, MESA+ Institute for Nanotechnology,
Faculty of Science & Technology, University
of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands
| | - Giuseppe Spoto
- Department
of Chemical Sciences, University of Catania, Viale Andrea Doria 6, 95122 Catania, Italy
- INBB,
Istituto Nazionale di Biostrutture e Biosistemi, Viale delle Medaglie d’Oro, 305, 00136 Roma, Italy
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48
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Liu X, Wu Z, Lin X, Bu W, Qin L, Gai H. A homogeneous digital biosensor for circulating tumor DNA by the enumeration of a dual-color quantum dot complex. Analyst 2021; 146:3034-3040. [PMID: 33949439 DOI: 10.1039/d1an00299f] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Monitoring ctDNA in blood is important for cancer management. Here, a one-step single particle counting approach was developed for directly quantifying ctDNA in plasma. Hairpin DNA containing a triple helix stem was immobilized onto QD 585 as a probe. The hairpin was opened by the target, and therefore hybridized with assistant DNA on QD 655, resulting in an aggregate of QD 585 and QD 655. The two-color QD aggregate was regarded as the target. Observed under a single particle transmission grating-based spectral microscope, the two-color QD aggregate was distinguished by a unique spectral pattern of two first-order streaks, and it was counted. The difference in the responses of the probes to perfect-match DNA, single-base mismatch DNA, and non-match DNA indicated that the probe had sufficient single-base discrimination capabilities. The success in plasma recovery tests demonstrated the feasibility of carrying out the direct detection of ctDNA in plasma.
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Affiliation(s)
- Xiaojun Liu
- School of Chemistry and Materials Science, Jiangsu Normal University, Shanghai Road 101, Xuzhou, Jiangsu, China.
| | - Zhangjian Wu
- School of Chemistry and Materials Science, Jiangsu Normal University, Shanghai Road 101, Xuzhou, Jiangsu, China.
| | - Xinyi Lin
- School of Chemistry and Materials Science, Jiangsu Normal University, Shanghai Road 101, Xuzhou, Jiangsu, China.
| | - Wei Bu
- Key Laboratory of Biotechnology for Medicinal Plant of Jiangsu Province, School of Life Science, Jiangsu Normal University, Xuzhou, Jiangsu, China.
| | - Lei Qin
- Xuzhou Haichuan Institute of Life Science Co. Ltd, Xuzhou, Jiangsu, China
| | - Hongwei Gai
- School of Chemistry and Materials Science, Jiangsu Normal University, Shanghai Road 101, Xuzhou, Jiangsu, China.
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49
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Chen C, He R, Zhang Z, Chen Y. Dual-recognition-based determination of ctDNA via the clamping function of peptide nucleic acid and terminal protection of small-molecule-linked DNA. Analyst 2021; 145:7603-7608. [PMID: 32990694 DOI: 10.1039/d0an01305f] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
A new dual-recognition fluorescent biosensor for circulating tumor DNA (ctDNA) detection has been developed, which combines the clamping function of peptide nucleic acid (PNA) and terminal protection of small-molecule-linked DNA (TPSMLD). Taking the tumor-specific E542K mutation and methylation of the PIK3CA gene as the target ctDNA, a low detection limit of 0.3161 pM ctDNA is achieved with good selectivity. This study not only offers a sensitive, selective and accurate ctDNA detection method, but can also be used to detect the target in complex biological samples.
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Affiliation(s)
- Chaohui Chen
- Institute for Interdisciplinary Research, Jianghan University, Wuhan 430056, P. R. China.
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50
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Zhang L, Wang Y, Guo Y, Chen H, Yu W, Zhang Z, Xie G. A comprehensive system for detecting rare single nucleotide variants based on competitive DNA probe and duplex-specific nuclease. Anal Chim Acta 2021; 1166:338545. [PMID: 34023002 DOI: 10.1016/j.aca.2021.338545] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2021] [Revised: 04/14/2021] [Accepted: 04/18/2021] [Indexed: 10/21/2022]
Abstract
Single nucleotide variants (SNVs) have emerged as increasingly important biomarkers, particularly in the diagnosis and prognosis of cancers. However, most SNVs are rarely detected in blood samples from cancer patients as they are surrounded by abundant concomitant wild-type nucleic acids. Herein, we design a system that features a combination of competitive DNA probe system (CDPS) and duplex-specific nuclease (DSN) that we referred to as CAD. A theoretical model was established for the CAD system based on reaction networks. Guided by the theoretical model, we found that a minor loss in sensitivity significantly improved the specificity of the system, thus creating a theoretical discrimination factor (DF) > 100 for most conditions. This non-equivalent tradeoff between sensitivity and specificity provides a new concept for the analysis of rare DNA-sequence variants. As a demonstration of practicality, we applied as-proposed CAD system to identify low variant allele frequency (VAF) in a synthetic template (0.1% VAF) and human genomic DNA (1% VAF). This work promises complete guidance for the design of enzyme-based nucleic acid analysis.
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Affiliation(s)
- Li Zhang
- Key Laboratory of Clinical Laboratory Diagnostics (Chinese Ministry of Education), College of Laboratory Medicine, Chongqing Medical University, Chongqing, 400016, PR China
| | - Yufeng Wang
- Key Laboratory of Clinical Laboratory Diagnostics (Chinese Ministry of Education), College of Laboratory Medicine, Chongqing Medical University, Chongqing, 400016, PR China
| | - Yongcan Guo
- Clinical Laboratory of Traditional Chinese Medicine Hospital Affiliated to Southwest Medical University, Luzhou, 646000, PR China
| | - Huajian Chen
- Key Laboratory of Clinical Laboratory Diagnostics (Chinese Ministry of Education), College of Laboratory Medicine, Chongqing Medical University, Chongqing, 400016, PR China
| | - Wen Yu
- Clinical Laboratory of Chongqing University Cancer Hospital, Chongqing, 400016, PR China
| | - Zhang Zhang
- Key Laboratory of Clinical Laboratory Diagnostics (Chinese Ministry of Education), College of Laboratory Medicine, Chongqing Medical University, Chongqing, 400016, PR China
| | - Guoming Xie
- Key Laboratory of Clinical Laboratory Diagnostics (Chinese Ministry of Education), College of Laboratory Medicine, Chongqing Medical University, Chongqing, 400016, PR China.
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