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Wu L, He C, Zhao T, Li T, Xu H, Wen J, Xu X, Gao L. Diagnosis and treatment status of inoperable locally advanced breast cancer and the application value of inorganic nanomaterials. J Nanobiotechnology 2024; 22:366. [PMID: 38918821 PMCID: PMC11197354 DOI: 10.1186/s12951-024-02644-9] [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: 03/26/2024] [Accepted: 06/16/2024] [Indexed: 06/27/2024] Open
Abstract
Locally advanced breast cancer (LABC) is a heterogeneous group of breast cancer that accounts for 10-30% of breast cancer cases. Despite the ongoing development of current treatment methods, LABC remains a severe and complex public health concern around the world, thus prompting the urgent requirement for innovative diagnosis and treatment strategies. The primary treatment challenges are inoperable clinical status and ineffective local control methods. With the rapid advancement of nanotechnology, inorganic nanoparticles (INPs) exhibit a potential application prospect in diagnosing and treating breast cancer. Due to the unique inherent characteristics of INPs, different functions can be performed via appropriate modifications and constructions, thus making them suitable for different imaging technology strategies and treatment schemes. INPs can improve the efficacy of conventional local radiotherapy treatment. In the face of inoperable LABC, INPs have proposed new local therapeutic methods and fostered the evolution of novel strategies such as photothermal and photodynamic therapy, magnetothermal therapy, sonodynamic therapy, and multifunctional inorganic nanoplatform. This article reviews the advances of INPs in local accurate imaging and breast cancer treatment and offers insights to overcome the existing clinical difficulties in LABC management.
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Affiliation(s)
- Linxuan Wu
- School of Intelligent Medicine, China Medical University, Shenyang, 110122, China
| | - Chuan He
- Department of Laboratory Medicine, The First Hospital of China Medical University, Shenyang, 110001, China
| | - Tingting Zhao
- Department of Breast Surgery, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China
| | - Tianqi Li
- School of Intelligent Medicine, China Medical University, Shenyang, 110122, China
| | - Hefeng Xu
- School of Intelligent Medicine, China Medical University, Shenyang, 110122, China
| | - Jian Wen
- Department of Breast Surgery, The Fourth Affiliated Hospital of China Medical University, Shenyang, 110032, China.
| | - Xiaoqian Xu
- School of Intelligent Medicine, China Medical University, Shenyang, 110122, China.
| | - Lin Gao
- Department of Ultrasound, Shengjing Hospital of China Medical University, Shenyang, 110022, China.
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2
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Kundu S, Craig KC, Gupta P, Guo J, Jaiswal M, Guo Z. Sensitive Method To Analyze Cell Surface GPI-Anchored Proteins Using DNA Hybridization Chain Reaction-Mediated Signal Amplification. Anal Chem 2024; 96:9576-9584. [PMID: 38808923 PMCID: PMC11299218 DOI: 10.1021/acs.analchem.4c01116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/30/2024]
Abstract
GPI-anchored proteins (GPI-APs) are ubiquitous and essential but exist in low abundances on the cell surface, making their analysis and investigation especially challenging. To tackle the problem, a new method to detect and study GPI-APs based upon GPI metabolic engineering and DNA-facilitated fluorescence signal amplification was developed. In this context, cell surface GPI-APs were metabolically engineered using azido-inositol derivatives to introduce an azido group. This allowed GPI-AP coupling with alkyne-functionalized multifluorophore DNA assemblies generated by hybridization chain reaction (HCR). It was demonstrated that this approach could significantly improve the detection limit and sensitivity of GPI-APs, thereby enabling various biological studies, including the investigation of live cells. This new, enhanced GPI-AP detection method has been utilized to successfully explore GPI-AP engineering, analyze GPI-APs, and profile GPI-AP expression in different cells.
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Affiliation(s)
- Sayan Kundu
- Department of Chemistry, University of Florida, Gainesville, FL 32611, United States
| | - Kendall C. Craig
- Department of Chemistry, University of Florida, Gainesville, FL 32611, United States
| | - Palak Gupta
- Department of Chemistry, University of Florida, Gainesville, FL 32611, United States
| | - Jiatong Guo
- Department of Chemistry, University of Florida, Gainesville, FL 32611, United States
| | - Mohit Jaiswal
- Department of Chemistry, University of Florida, Gainesville, FL 32611, United States
| | - Zhongwu Guo
- Department of Chemistry, University of Florida, Gainesville, FL 32611, United States
- UF Health Cancer Center, University of Florida, Gainesville, FL 32611, United States
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3
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Liu H, Li X, Ren Y, Yang Y, Chen Y, Ju H. In Situ Visualization of RNA-Specific Sialylation on Living Cell Membranes to Explore N-Glycosylation Sites. J Am Chem Soc 2024; 146:8780-8786. [PMID: 38497732 DOI: 10.1021/jacs.4c01826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
The small RNAs on living cell membranes were recently found to be N-glycosylated and terminated with sialic acids, although the glycosylation sites and potential functions remain unclear. Herein, we designed a second-generation hierarchical coding strategy (HieCo 2) for in situ visualization of cell surface RNA-specific sialylation. After covalently binding DNA codes to sialic acids and then binding a DNA code to a target RNA via sequence specificity, cascade decoding processes were performed with subsequent signal amplification that enabled sensitive in situ visualization of low-abundance Y5 RNA-specific sialic acids on living cell membranes. The proposed strategy unveils the number of glycosylation sites on a single RNA and reveals the binding preference of glycosylated RNAs to different sialic acid binding-immunoglobulin lectin-type receptors, demonstrating a new route for exploration of the glycosylated RNA-related biological and pathological processes.
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Affiliation(s)
- Huipu Liu
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, P. R. China
| | - Xuemei Li
- Shandong Province Key Laboratory of Detection Technology for Tumor Markers, School of Chemistry and Chemical Engineering, Linyi University, Linyi 276005, P. R. China
| | - Yi Ren
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, P. R. China
| | - Yuanjiao Yang
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, P. R. China
| | - Yunlong Chen
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, P. R. China
| | - Huangxian Ju
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, P. R. China
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4
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Li Y, Wang H, Chen Y, Ding L, Ju H. In Situ Glycan Analysis and Editing in Living Systems. JACS AU 2024; 4:384-401. [PMID: 38425935 PMCID: PMC10900212 DOI: 10.1021/jacsau.3c00717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 12/15/2023] [Accepted: 12/19/2023] [Indexed: 03/02/2024]
Abstract
Besides proteins and nucleic acids, carbohydrates are also ubiquitous building blocks of living systems. Approximately 70% of mammalian proteins are glycosylated. Glycans not only provide structural support for living systems but also act as crucial regulators of cellular functions. As a result, they are considered essential pieces of the life science puzzle. However, research on glycans has lagged far behind that on proteins and nucleic acids. The main reason is that glycans are not direct products of gene coding, and their synthesis is nontemplated. In addition, the diversity of monosaccharide species and their linkage patterns contribute to the complexity of the glycan structures, which is the molecular basis for their diverse functions. Research in glycobiology is extremely challenging, especially for the in situ elucidation of glycan structures and functions. There is an urgent need to develop highly specific glycan labeling tools and imaging methods and devise glycan editing strategies. This Perspective focuses on the challenges of in situ analysis of glycans in living systems at three spatial levels (i.e., cell, tissue, and in vivo) and highlights recent advances and directions in glycan labeling, imaging, and editing tools. We believe that examining the current development landscape and the existing bottlenecks can drive the evolution of in situ glycan analysis and intervention strategies and provide glycan-based insights for clinical diagnosis and therapeutics.
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Affiliation(s)
- Yiran Li
- State
Key Laboratory of Analytical Chemistry for Life Science, School of
Chemistry and Chemical Engineering, Nanjing
University, Nanjing 210023, China
| | - Haiqi Wang
- State
Key Laboratory of Analytical Chemistry for Life Science, School of
Chemistry and Chemical Engineering, Nanjing
University, Nanjing 210023, China
| | - Yunlong Chen
- State
Key Laboratory of Analytical Chemistry for Life Science, School of
Chemistry and Chemical Engineering, Nanjing
University, Nanjing 210023, China
| | - Lin Ding
- State
Key Laboratory of Analytical Chemistry for Life Science, School of
Chemistry and Chemical Engineering, Nanjing
University, Nanjing 210023, China
- Chemistry
and Biomedicine Innovation Center (ChemBIC), Nanjing University, Nanjing 210023, China
| | - Huangxian Ju
- State
Key Laboratory of Analytical Chemistry for Life Science, School of
Chemistry and Chemical Engineering, Nanjing
University, Nanjing 210023, China
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5
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Anil A, Chaskar J, Pawar AB, Tiwari A, Chaskar AC. Recent advances in DNA-based probes for photoacoustic imaging. J Biotechnol 2024; 382:8-20. [PMID: 38211667 DOI: 10.1016/j.jbiotec.2023.12.019] [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: 03/02/2022] [Revised: 11/29/2023] [Accepted: 12/30/2023] [Indexed: 01/13/2024]
Abstract
Photoacoustic imaging(PAI) is a widely developing imaging modality that has seen tremendous evolvement in the last decade. PAI has gained the upper hand in the imaging field as it takes advantage of optical absorption and ultrasound detection that imparts higher resolution, rich contrast and elevated penetration depth. Unlike other imaging techniques, PAI does not use ionising radiation and is a better, cost-effective and healthier alternative to other imaging techniques. It offers greater specificity than conventional ultrasound imaging with the ability to detect haemoglobin, lipids, water and other light-absorbing chromophores. These properties of PAI have led to its extended applications in the biomedical field in the treatment of diseases such as cancer. This paper reviews how DNA probes have been used in PAI, the various techniques by which it has been modified, and their role in the process. We also focus on different nanocomposites containing DNA having PAI and photothermal therapy(PTT) properties for detection, diagnosis and therapy, its constituents and the role of DNA in it.
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Affiliation(s)
- Anusri Anil
- National Centre for Nanosciences and Nanotechnology, University of Mumbai, Kalina, Mumbai 400098, India
| | - Jyotsna Chaskar
- National Centre for Nanosciences and Nanotechnology, University of Mumbai, Kalina, Mumbai 400098, India
| | - Avinash B Pawar
- Department of Chemistry, Bharati Vidyapeeth (Deemed to be University), Yashwantrao Mohite College of Arts, Science & Commerce, Pune 411038, India
| | - Abhishekh Tiwari
- National Centre for Nanosciences and Nanotechnology, University of Mumbai, Kalina, Mumbai 400098, India.
| | - Atul Changdev Chaskar
- National Centre for Nanosciences and Nanotechnology, University of Mumbai, Kalina, Mumbai 400098, India; Department of Chemistry, Institute of Chemical Technology, Mumbai.
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6
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Liu S, Zhao F, Xu K, Cao M, Sohail M, Li B, Zhang X. Harnessing aptamers for the biosensing of cell surface glycans - A review. Anal Chim Acta 2024; 1288:342044. [PMID: 38220315 DOI: 10.1016/j.aca.2023.342044] [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: 09/15/2023] [Revised: 11/16/2023] [Accepted: 11/17/2023] [Indexed: 01/16/2024]
Abstract
Cell surface glycans (CSGs) are essential for cell recognition, adhesion, and invasion, and they also serve as disease biomarkers. Traditional CSG recognition using lectins has limitations such as limited specificity, low stability, high cytotoxicity, and multivalent binding. Aptamers, known for their specific binding capacity to target molecules, are increasingly being employed in the biosensing of CSGs. Aptamers offer the advantage of high flexibility, small size, straightforward modification, and monovalent recognition, enabling their integration into the profiling of CSGs on living cells. In this review, we summarize representative examples of aptamer-based CSG biosensing and identify two strategies for harnessing aptamers in CSG detection: direct recognition based on aptamer-CSG binding and indirect recognition through protein localization. These strategies enable the generation of diverse signals including fluorescence, electrochemical, photoacoustic, and electrochemiluminescence signals for CSG detection. The advantages, challenges, and future perspectives of using aptamers for CSG biosensing are also discussed.
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Affiliation(s)
- Sirui Liu
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, 210023, China
| | - Furong Zhao
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, 210023, China
| | - Ke Xu
- Department of Cardiology, Nanjing Yuhua Hospital, Nanjing, 210012, China
| | - Min Cao
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, 210023, China
| | - Muhammad Sohail
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, 210023, China
| | - Bingzhi Li
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, 210023, China.
| | - Xing Zhang
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, 210023, China.
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7
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Lin B, Xiao F, Jiang J, Zhao Z, Zhou X. Engineered aptamers for molecular imaging. Chem Sci 2023; 14:14039-14061. [PMID: 38098720 PMCID: PMC10718180 DOI: 10.1039/d3sc03989g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 11/07/2023] [Indexed: 12/17/2023] Open
Abstract
Molecular imaging, including quantification and molecular interaction studies, plays a crucial role in visualizing and analysing molecular events occurring within cells or organisms, thus facilitating the understanding of biological processes. Moreover, molecular imaging offers promising applications for early disease diagnosis and therapeutic evaluation. Aptamers are oligonucleotides that can recognize targets with a high affinity and specificity by folding themselves into various three-dimensional structures, thus serving as ideal molecular recognition elements in molecular imaging. This review summarizes the commonly employed aptamers in molecular imaging and outlines the prevalent design approaches for their applications. Furthermore, it highlights the successful application of aptamers to a wide range of targets and imaging modalities. Finally, the review concludes with a forward-looking perspective on future advancements in aptamer-based molecular imaging.
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Affiliation(s)
- Bingqian Lin
- College of Chemistry and Molecular Sciences, Key Laboratory of Biomedical Polymers-Ministry of Education, Department of Hematology of Zhongnan Hospital, Taikang Center for Life and Medical Sciences, Wuhan University Wuhan 430072 China
| | - Feng Xiao
- College of Chemistry and Molecular Sciences, Key Laboratory of Biomedical Polymers-Ministry of Education, Department of Hematology of Zhongnan Hospital, Taikang Center for Life and Medical Sciences, Wuhan University Wuhan 430072 China
| | - Jinting Jiang
- College of Chemistry and Molecular Sciences, Key Laboratory of Biomedical Polymers-Ministry of Education, Department of Hematology of Zhongnan Hospital, Taikang Center for Life and Medical Sciences, Wuhan University Wuhan 430072 China
| | - Zhengjia Zhao
- College of Chemistry and Molecular Sciences, Key Laboratory of Biomedical Polymers-Ministry of Education, Department of Hematology of Zhongnan Hospital, Taikang Center for Life and Medical Sciences, Wuhan University Wuhan 430072 China
| | - Xiang Zhou
- College of Chemistry and Molecular Sciences, Key Laboratory of Biomedical Polymers-Ministry of Education, Department of Hematology of Zhongnan Hospital, Taikang Center for Life and Medical Sciences, Wuhan University Wuhan 430072 China
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8
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Xu L, Lu S, Wang H, Xu H, Ye BC. Dual-Recognition Triggered Proximity Ligation Combined with a Rolling Circle Amplification Strategy for Analysis of Exosomal Protein-Specific Glycosylation. Anal Chem 2023; 95:15745-15754. [PMID: 37842978 DOI: 10.1021/acs.analchem.3c03239] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2023]
Abstract
Exosomal surface glycan reveals the biological function and molecular information on the protein, especially in indicating the pathogenesis of certain diseases through monitoring of specific protein glycosylation accurately. However, in situ and nondestructive measurement techniques for certain Exosomal glycoproteins are still lacking. In this work, combined with on-chip purification, we designed a proximity ligation assay-induced rolling circle amplification (RCA) strategy for highly sensitive identification of Exosomal protein-specific glycosylation based on a couple of proximity probes to target Exosomal protein and the protein-specific glycosylation site. Benefiting from efficient separation, scalable dual-recognition, and proximity-triggered RCA amplification, the proposed strategy could convert different protein-specific glycan levels to prominent changes in absorbance signals, resulting in accurate quantification of specific glycosylated Exosomal protein. When detecting the glycosylated PD-L1 on MDA-MB-231 exosomes and glycosylated PTK7 on HepG2 exosomes, the detection limits were calculated to be as low as 1.04 × 104 and 2.759 × 103 particles/mL, respectively. In addition, we further expand the dual-recognition site to investigate the potential correlation of Exosomal glycosylation with polarization of THP-1 cells toward the tumor-suppressive M1 phenotype. Overall, this strategy provides a universal tool for multiple analyses of diverse protein-specific glycosylated exosomes, exhibiting enormous potential to explore exosome function and search for new early diagnosis markers.
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Affiliation(s)
- Lijun Xu
- Lab of Biosystem and Microanalysis, State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Siyu Lu
- Lab of Biosystem and Microanalysis, State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Hua Wang
- Department of Laboratory Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Huiying Xu
- Lab of Biosystem and Microanalysis, State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Bang-Ce Ye
- Lab of Biosystem and Microanalysis, State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China
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9
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Choi W, Park B, Choi S, Oh D, Kim J, Kim C. Recent Advances in Contrast-Enhanced Photoacoustic Imaging: Overcoming the Physical and Practical Challenges. Chem Rev 2023. [PMID: 36642892 DOI: 10.1021/acs.chemrev.2c00627] [Citation(s) in RCA: 42] [Impact Index Per Article: 42.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
For decades now, photoacoustic imaging (PAI) has been investigated to realize its potential as a niche biomedical imaging modality. Despite its highly desirable optical contrast and ultrasonic spatiotemporal resolution, PAI is challenged by such physical limitations as a low signal-to-noise ratio (SNR), diminished image contrast due to strong optical attenuation, and a lower-bound on spatial resolution in deep tissue. In addition, contrast-enhanced PAI has faced practical limitations such as insufficient cell-specific targeting due to low delivery efficiency and difficulties in developing clinically translatable agents. Identifying these limitations is essential to the continuing expansion of the field, and substantial advances in developing contrast-enhancing agents, complemented by high-performance image acquisition systems, have synergistically dealt with the challenges of conventional PAI. This review covers the past four years of research on pushing the physical and practical challenges of PAI in terms of SNR/contrast, spatial resolution, targeted delivery, and clinical application. Promising strategies for dealing with each challenge are reviewed in detail, and future research directions for next generation contrast-enhanced PAI are discussed.
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Affiliation(s)
- Wonseok Choi
- Department of Electrical Engineering, Convergence IT Engineering, Mechanical Engineering, and Medical Science and Engineering, Graduate School of Artificial Intelligence, and Medical Device Innovation Center, Pohang University of Science and Technology, 77 Cheongam-Ro, Nam-Gu, Pohang37673, Republic of Korea
| | - Byullee Park
- Department of Electrical Engineering, Convergence IT Engineering, Mechanical Engineering, and Medical Science and Engineering, Graduate School of Artificial Intelligence, and Medical Device Innovation Center, Pohang University of Science and Technology, 77 Cheongam-Ro, Nam-Gu, Pohang37673, Republic of Korea
| | - Seongwook Choi
- Department of Electrical Engineering, Convergence IT Engineering, Mechanical Engineering, and Medical Science and Engineering, Graduate School of Artificial Intelligence, and Medical Device Innovation Center, Pohang University of Science and Technology, 77 Cheongam-Ro, Nam-Gu, Pohang37673, Republic of Korea
| | - Donghyeon Oh
- Department of Electrical Engineering, Convergence IT Engineering, Mechanical Engineering, and Medical Science and Engineering, Graduate School of Artificial Intelligence, and Medical Device Innovation Center, Pohang University of Science and Technology, 77 Cheongam-Ro, Nam-Gu, Pohang37673, Republic of Korea
| | - Jongbeom Kim
- Department of Electrical Engineering, Convergence IT Engineering, Mechanical Engineering, and Medical Science and Engineering, Graduate School of Artificial Intelligence, and Medical Device Innovation Center, Pohang University of Science and Technology, 77 Cheongam-Ro, Nam-Gu, Pohang37673, Republic of Korea
| | - Chulhong Kim
- Department of Electrical Engineering, Convergence IT Engineering, Mechanical Engineering, and Medical Science and Engineering, Graduate School of Artificial Intelligence, and Medical Device Innovation Center, Pohang University of Science and Technology, 77 Cheongam-Ro, Nam-Gu, Pohang37673, Republic of Korea
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Li CH, Chan MH, Chang YC, Hsiao M. Gold Nanoparticles as a Biosensor for Cancer Biomarker Determination. MOLECULES (BASEL, SWITZERLAND) 2023; 28:molecules28010364. [PMID: 36615558 PMCID: PMC9822408 DOI: 10.3390/molecules28010364] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 12/21/2022] [Accepted: 12/23/2022] [Indexed: 01/04/2023]
Abstract
Molecular biology applications based on gold nanotechnology have revolutionary impacts, especially in diagnosing and treating molecular and cellular levels. The combination of plasmonic resonance, biochemistry, and optoelectronic engineering has increased the detection of molecules and the possibility of atoms. These advantages have brought medical research to the cellular level for application potential. Many research groups are working towards this. The superior analytical properties of gold nanoparticles can not only be used as an effective drug screening instrument for gene sequencing in new drug development but also as an essential tool for detecting physiological functions, such as blood glucose, antigen-antibody analysis, etc. The review introduces the principles of biomedical sensing systems, the principles of nanomaterial analysis applied to biomedicine at home and abroad, and the chemical surface modification of various gold nanoparticles.
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Affiliation(s)
- Chien-Hsiu Li
- Genomics Research Center, Academia Sinica, Taipei 115, Taiwan
| | - Ming-Hsien Chan
- Genomics Research Center, Academia Sinica, Taipei 115, Taiwan
| | - Yu-Chan Chang
- Department of Biomedical Imaging and Radiological Sciences, National Yang Ming Chiao Tung University, Taipei 112, Taiwan
| | - Michael Hsiao
- Genomics Research Center, Academia Sinica, Taipei 115, Taiwan
- Department and Graduate Institute of Veterinary Medicine, School of Veterinary Medicine, National Taiwan University, Taipei 106, Taiwan
- Correspondence:
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11
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Liu L, Chen X, Sun B. Construction of a Recyclable DNAzyme Motor for MUC1-Specific Glycoform In Situ Quantification. Anal Chem 2022; 94:13745-13752. [PMID: 36161871 DOI: 10.1021/acs.analchem.2c01961] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Changes in the glycosylation content, especially in specific proteins, are of great importance for interpreting the mechanisms and development of certain diseases. However, current detection techniques are limited by the weak ionization efficiency of glycosyls and poor anti-interference of fluorescence signals. Herein, we present a general in situ quantification strategy for protein-specific glycoforms by constructing a recyclable DNAzyme motor for mass spectrometric detection using MUC1-specific sialic acid (Sia) as a model. This approach relies on a DNAzyme-based recycling strategy and two well-designed probes: a protein and a glycan probe. The protein probe consists of an aptamer and a DNAzyme. The glycan probe contains three functional domains: a DNAzyme complementary sequence, a substrate peptide segment, and a dibenzocyclooctyne tag. First, these two probes bind to their corresponding targets and trigger hybridization between adjacent probes on the same protein. With the help of the metal cofactor, the DNAzyme of the protein probe hydrolyzes the double-stranded glycan probe. The protein probe then reverts to a single-stranded state and remains intact for the next round of hybridization and cleavage. In this way, the recyclable DNAzyme motor can hydrolyze all glycan probes bound to the target protein. Finally, the reporter peptide released from the hydrolyzed glycan probes can be quantified by mass spectrometry, thereby converting the signal of the protein-specific glycoform to that of mass spectrometry. This strategy has been successfully used for in situ quantification of MUC1-specific Sia in different breast cancer cell lines. It provides a promising platform for protein-specific glycoform quantification.
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Affiliation(s)
- Liang Liu
- Department of Pharmacy, Zhongnan Hospital of Wuhan University, Wuhan 430071, China
| | - Xiuyu Chen
- School of Pharmacy, Nanjing Medical University, Nanjing 211166, China
| | - Bo Sun
- Department of Pharmacy, The First People's Hospital of Lianyungang, Lianyungang 222000, China
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12
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Zeng Y, Dou T, Ma L, Ma J. Biomedical Photoacoustic Imaging for Molecular Detection and Disease Diagnosis: "Always-On" and "Turn-On" Probes. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2022; 9:e2202384. [PMID: 35773244 PMCID: PMC9443455 DOI: 10.1002/advs.202202384] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 05/25/2022] [Indexed: 05/05/2023]
Abstract
Photoacoustic (PA) imaging is a nonionizing, noninvasive imaging technique that combines optical and ultrasonic imaging modalities to provide images with excellent contrast, spatial resolution, and penetration depth. Exogenous PA contrast agents are created to increase the sensitivity and specificity of PA imaging and to offer diagnostic information for illnesses. The existing PA contrast agents are categorized into two groups in this review: "always-on" and "turn-on," based on their ability to be triggered by target molecules. The present state of these probes, their merits and limitations, and their future development, is explored.
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Affiliation(s)
- Yun Zeng
- School of Life Science and Technology, Xidian University and Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi Province, 710126, P. R. China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment and Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi Province, 7100126, P. R. China
| | - Taotao Dou
- Neurosurgery Department, Ninth Affiliated Hospital of Medical College of Xi'an Jiaotong University, Xi'an, Shaanxi Province, 710054, P. R. China
| | - Lei Ma
- Vascular Intervention Department, Ninth Affiliated Hospital of Medical College of Xi'an Jiaotong University, Xi'an, Shaanxi Province, 710054, P. R. China
| | - Jingwen Ma
- Radiology Department, CT and MRI Room, Ninth Affiliated Hospital of Medical College of Xi'an Jiaotong University, Xi'an, Shaanxi Province, 710054, P. R. China
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13
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Hu W, Chang Y, Huang J, Chai Y, Yuan R. Tetrahedral DNA Nanostructure with Multiple Target-Recognition Domains for Ultrasensitive Electrochemical Detection of Mucin 1. Anal Chem 2022; 94:6860-6865. [PMID: 35477261 DOI: 10.1021/acs.analchem.2c00864] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
In this work, a tetrahedral DNA nanostructure (TDN) designed with multiple biomolecular recognition domains (m-TDN) was assembled to construct an ultrasensitive electrochemical biosensor for the quantitative detection of tumor-associated mucin 1 (MUC-1) protein. This new nanostructure not only effectively increased the capture efficiency of target proteins compared to the traditional TDN with a single recognition domain but also enhanced the sensitivity of the constructed electrochemical biosensors. Once the target MUC-1 was captured by the protein aptamers, the ferrocene-marked DNA strands as electrochemical signal probes at the vertices of m-TDN would be released away from the electrode surface, causing significant reduction of the electrochemical signal, thereby enhancing significantly the detection sensitivity. As a result, this well-designed biosensor achieved ultrasensitive detection of the biomolecule at a linear range from 1 fg mL-1 to 1 ng mL-1, with the limit of detection down to 0.31 fg mL-1. This strategy provides a new approach to enhance the detection sensitivity for the diagnosis of diseases.
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Affiliation(s)
- Wenxi Hu
- Key Laboratory of Luminescence Analysis and Molecular Sensing (Southwest University), Ministry of Education, College of Chemistry and Chemical Engineering, Southwest University, Chongqing 400715, P. R. China
| | - Yuanyuan Chang
- Key Laboratory of Luminescence Analysis and Molecular Sensing (Southwest University), Ministry of Education, College of Chemistry and Chemical Engineering, Southwest University, Chongqing 400715, P. R. China
| | - Junqing Huang
- Key Laboratory of Luminescence Analysis and Molecular Sensing (Southwest University), Ministry of Education, College of Chemistry and Chemical Engineering, Southwest University, Chongqing 400715, P. R. China
| | - Yaqin Chai
- Key Laboratory of Luminescence Analysis and Molecular Sensing (Southwest University), Ministry of Education, College of Chemistry and Chemical Engineering, Southwest University, Chongqing 400715, P. R. China
| | - Ruo Yuan
- Key Laboratory of Luminescence Analysis and Molecular Sensing (Southwest University), Ministry of Education, College of Chemistry and Chemical Engineering, Southwest University, Chongqing 400715, P. R. China
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14
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Huang M, Zhu L, Kang S, Chen F, Wei X, Lin L, Chen X, Wang W, Zhu Z, Yang C, Song Y. In Situ Visualization of PD-L1-Specific Glycosylation on Tissue Sections. Anal Chem 2021; 93:15958-15963. [PMID: 34812034 DOI: 10.1021/acs.analchem.1c03287] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Immune checkpoint therapy has provided a weapon against cancer, but its response rate has been extremely low due to the lack of effective predictors. Herein, we developed a FRET strategy based on lectin for glycan labeling and an aptamer for PD-L1 antigen recognition for visualization of PD-L1-specific glycosylation (FLAG). The FLAG strategy combines the PD-L1 aptamer, which efficiently labels the PD-L1 polyantigen with smaller steric hindrance than the PD-L1 antibody, and metabolism-free lectin labeling for glycosylation. As a result, the FLAG strategy enables in situ visualization of PD-L1-specific glycosylation on the tissue section while maintaining the spatial context and tissue architecture. Due to nonmetabolic labeling, the FLAG strategy revealed that the tissue level of PD-L1-specific glycosylation is correlated with the efficacy of PD-1/PD-L1 therapy. Overall, the FLAG strategy provides a powerful tool for revealing the significance of PD-L1 glycosylation, offering the unprecedented potential for immunophenotypic differential analysis to predict the immunotherapy response.
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Affiliation(s)
- Mengjiao Huang
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, Collaborative Innovation Center of Chemistry for Energy Materials, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China.,State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, College of Chemistry and Pharmacy, Guangxi Normal University, Guilin, Guangxi 541004, China
| | - Lin Zhu
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, Collaborative Innovation Center of Chemistry for Energy Materials, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
| | - Siyin Kang
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, Collaborative Innovation Center of Chemistry for Energy Materials, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
| | - Fude Chen
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, Collaborative Innovation Center of Chemistry for Energy Materials, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
| | - Xinyu Wei
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, Collaborative Innovation Center of Chemistry for Energy Materials, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
| | - Liyuan Lin
- Institute of Molecular Medicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Xiaofeng Chen
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, Collaborative Innovation Center of Chemistry for Energy Materials, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
| | - Wei Wang
- Institute of Molecular Medicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Zhi Zhu
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, Collaborative Innovation Center of Chemistry for Energy Materials, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
| | - Chaoyong Yang
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, Collaborative Innovation Center of Chemistry for Energy Materials, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China.,Institute of Molecular Medicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Yanling Song
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, Collaborative Innovation Center of Chemistry for Energy Materials, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
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15
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Bertok T, Pinkova Gajdosova V, Bertokova A, Svecova N, Kasak P, Tkac J. Breast cancer glycan biomarkers: their link to tumour cell metabolism and their perspectives in clinical practice. Expert Rev Proteomics 2021; 18:881-910. [PMID: 34711108 DOI: 10.1080/14789450.2021.1996231] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
INTRODUCTION Breast cancer (BCa) is the most common cancer type diagnosed in women and 5th most common cause of deaths among all cancer deaths despite the fact that screening program is at place. This is why novel diagnostics approaches are needed in order to decrease number of BCa cases and disease mortality. AREAS COVERED In this review paper, we aim to cover some basic aspects regarding cellular metabolism and signalling in BCa behind altered glycosylation. We also discuss novel exciting discoveries regarding glycan-based analysis, which can provide useful information for better understanding of the disease. The final part deals with clinical usefulness of glycan-based biomarkers and the clinical performance of such biomarkers is compared to already approved BCa biomarkers and diagnostic tools based on imaging. EXPERT OPINION Recent discoveries suggest that glycan-based biomarkers offer high accuracy for possible BCa diagnostics in blood, but also for better monitoring and management of BCa patients. The review article was written using Web of Science search engine to include articles published between 2019 and 2021.
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Affiliation(s)
- Tomas Bertok
- Glycanostics Ltd., Bratislava, Slovak Republic.,Department of Glycobiotechnology, Institute of Chemistry, Slovak Academy of Sciences, Bratislava, Slovak Republic
| | - Veronika Pinkova Gajdosova
- Department of Glycobiotechnology, Institute of Chemistry, Slovak Academy of Sciences, Bratislava, Slovak Republic
| | | | - Natalia Svecova
- Department of Glycobiotechnology, Institute of Chemistry, Slovak Academy of Sciences, Bratislava, Slovak Republic
| | - Peter Kasak
- Center for Advanced Materials, Qatar University, Doha, Qatar
| | - Jan Tkac
- Glycanostics Ltd., Bratislava, Slovak Republic.,Department of Glycobiotechnology, Institute of Chemistry, Slovak Academy of Sciences, Bratislava, Slovak Republic
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