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Zhang G, Huang X, Gong Y, Ding Y, Wang H, Zhang H, Wu L, Su R, Yang C, Zhu Z. Fingerprint Profiling of Glycans on Extracellular Vesicles via Lectin-Induced Aggregation Strategy for Precise Cancer Diagnostics. J Am Chem Soc 2024. [PMID: 39235449 DOI: 10.1021/jacs.4c10390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/06/2024]
Abstract
Extracellular vesicles (EVs) harbor abundant glycans that mediate various functions, such as intercellular communication and disease advancement, which play significant roles in disease progression. However, the presence of EV heterogeneity in body fluids and the complex nature of the glycan structures have posed challenges for the detection of EV glycans. In this study, we provide a streamlined method integrated, membrane-specific separation with lectin-induced aggregation strategy (MESSAGE), for multiplexed profiling of EV glycans. By leveraging a rationally designed lectin-induced aggregation strategy, the expression of EV glycans is converted to size-based signals. With the assistance learning machine algorithms, the MESSAGE strategy with high sensitivity, specificity, and simplicity can be used for early cancer diagnosis and classification, as well as monitoring cancer metastasis via 20 μL plasma sample within 2 h. Furthermore, our platform holds promise for advancing the field of EV-based liquid biopsy for clinical applications, opening new possibilities for the profiling of EV glycan signatures in various disease states.
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Affiliation(s)
- Guihua Zhang
- State Key Laboratory of Physical Chemistry of Solid Surfaces, Key Laboratory for Chemical Biology of Fujian Province, The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
| | - Xiaodan Huang
- State Key Laboratory of Physical Chemistry of Solid Surfaces, Key Laboratory for Chemical Biology of Fujian Province, The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
| | - Yanli Gong
- Institute of Molecular Medicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Yue Ding
- Institute of Molecular Medicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Hua Wang
- Institute of Molecular Medicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Huimin Zhang
- Innovation Laboratory for Sciences, Technologies of Energy Materials of Fujian Province, Xiamen 361000, China
| | - Lingling Wu
- Institute of Molecular Medicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Rui Su
- Department of Hematology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361005, China
| | - Chaoyong Yang
- State Key Laboratory of Physical Chemistry of Solid Surfaces, Key Laboratory for Chemical Biology of Fujian Province, The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, 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
| | - Zhi Zhu
- State Key Laboratory of Physical Chemistry of Solid Surfaces, Key Laboratory for Chemical Biology of Fujian Province, The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
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2
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Pei X, Liu J, Zhang Y, Huang Y, Li Z, Niu X, Zhang W, Sun W. Tetrahedral DNA-linked aptamer-antibody-based sandwich-type electrochemical sensor with Ag@Au core-shell nanoparticles as a signal amplifier for highly sensitive detection of α-fetoprotein. Mikrochim Acta 2024; 191:414. [PMID: 38904836 DOI: 10.1007/s00604-024-06485-z] [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: 04/15/2024] [Accepted: 06/03/2024] [Indexed: 06/22/2024]
Abstract
The conventional electrochemical detection strategy for alpha-fetoprotein (AFP) is limited by the antigen-antibody (Ag-Ab) reactions and suffers from low sensitivity and poor reproducibility due to the inconsistency of Ab-modified electrodes. Herein, we designed and explored a sandwich-type electrochemical sensor for highly sensitive detection of AFP based on aptamer (Apt)-AFP-Ab interaction mode with silver@gold (Ag@Au) core-shell nanoparticles (NPs) as a signal amplifier. AuNPs were electrodeposited onto MXene (Ti3C2TX)-modified glassy carbon electrode (GCE) to get AuNPs/MXene/GCE and further used as the signal amplification substrate. The tetrahedral DNA-linked AFP aptamers were immobilized onto AuNPs/MXene/GCE surface via Au-S bonds and used as the sensing and recognition platform for AFP capturing. Ag@AuNPs with core-shell structures were synthesized, characterized, and bound with Ab as detection elements by catalyzing H2O2 reduction. In the presence of AFP, a stable Apt-AFP-Ab sandwich structure was formed owing to the high affinities of aptamer and Ab toward the target AFP. The catalytic current produced by H2O2 reduction increased linearly with the logarithm of AFP concentration from 5 × 10-4 ng/mL to 1 × 105 ng/mL, accompanied by a low detection limit (1.6 × 10-4 ng/mL). Moreover, the novel sandwich-type electrochemical sensor shows high sensitivity, outstanding selectivity, and promising performance in the analysis of actual samples, displaying a broad application prospect in bioanalysis.
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Affiliation(s)
- Xiaoying Pei
- School of Chemistry and Chemical Engineering, Shandong University of Technology, Zibo, 255049, P. R. China
| | - Junhong Liu
- School of Chemistry and Chemical Engineering, Shandong University of Technology, Zibo, 255049, P. R. China
| | - Yulong Zhang
- School of Chemistry and Chemical Engineering, Shandong University of Technology, Zibo, 255049, P. R. China
| | - Yan Huang
- School of Chemistry and Chemical Engineering, Shandong University of Technology, Zibo, 255049, P. R. China
| | - Zhongfang Li
- School of Chemistry and Chemical Engineering, Shandong University of Technology, Zibo, 255049, P. R. China
| | - Xueliang Niu
- School of Chemistry and Chemical Engineering, Shandong University of Technology, Zibo, 255049, P. R. China.
| | - Weili Zhang
- College of Pharmacy, Key Laboratory of Biomedical Engineering and Technology in Universities of Shandong, Qilu Medical University, Zibo, 255300, P. R. China.
| | - Wei Sun
- Hainan Engineering Research Center of Tropical Ocean Advanced Optoelectronic Functional Materials, Hainan International Joint Research Center of Marine Advanced Photoelectric Functional Materials, Key Laboratory of Laser Technology and Optoelectronic Functional Materials of Hainan Province, Key Laboratory of Functional Materials and Photoelectrochemistry of Haikou, College of Chemistry and Chemical Engineering, Hainan Normal University, Haikou, 571158, P. R. China.
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3
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Yom A, Chiang A, Lewis NE. Boltzmann Model Predicts Glycan Structures from Lectin Binding. Anal Chem 2024; 96:8332-8341. [PMID: 38720429 PMCID: PMC11162346 DOI: 10.1021/acs.analchem.3c04992] [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: 05/20/2024]
Abstract
Glycans are complex oligosaccharides that are involved in many diseases and biological processes. Unfortunately, current methods for determining glycan composition and structure (glycan sequencing) are laborious and require a high level of expertise. Here, we assess the feasibility of sequencing glycans based on their lectin binding fingerprints. By training a Boltzmann model on lectin binding data, we predict the approximate structures of 88 ± 7% of N-glycans and 87 ± 13% of O-glycans in our test set. We show that our model generalizes well to the pharmaceutically relevant case of Chinese hamster ovary (CHO) cell glycans. We also analyze the motif specificity of a wide array of lectins and identify the most and least predictive lectins and glycan features. These results could help streamline glycoprotein research and be of use to anyone using lectins for glycobiology.
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Affiliation(s)
- Aria Yom
- Department of Physics, University of California, San Diego, California 92093, United States
| | - Austin Chiang
- Department of Pediatrics, University of California, San Diego, California 92093, United States
- Immunology Center of Georgia, Augusta University, Augusta, Georgia 30912, United States
- Department of Medicine, Augusta University, Augusta, Georgia 30912, United States
| | - Nathan E Lewis
- Department of Pediatrics, University of California, San Diego, California 92093, United States
- Department of Bioengineering, University of California, San Diego, California 92093, United States
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4
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Yom A, Chiang A, Lewis NE. A Boltzmann model predicts glycan structures from lectin binding. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.06.03.543532. [PMID: 37333412 PMCID: PMC10274649 DOI: 10.1101/2023.06.03.543532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
Glycans are complex oligosaccharides involved in many diseases and biological processes. Unfortunately, current methods for determining glycan composition and structure (glycan sequencing) are laborious and require a high level of expertise. Here, we assess the feasibility of sequencing glycans based on their lectin binding fingerprints. By training a Boltzmann model on lectin binding data, we predict the approximate structures of 88 ± 7% of N-glycans and 87 ± 13% of O-glycans in our test set. We show that our model generalizes well to the pharmaceutically relevant case of Chinese Hamster Ovary (CHO) cell glycans. We also analyze the motif specificity of a wide array of lectins and identify the most and least predictive lectins and glycan features. These results could help streamline glycoprotein research and be of use to anyone using lectins for glycobiology.
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Affiliation(s)
- Aria Yom
- Department of Physics, University of California, San Diego. CA 92093, USA
| | - Austin Chiang
- Department of Pediatrics, University of California, San Diego. CA 92093, USA
- Immunology Center of Georgia, Augusta University, Augusta, GA 30912, USA
- Department of Medicine, Augusta University, Augusta, GA 30912, USA
| | - Nathan E Lewis
- Department of Bioengineering, University of California, San Diego. CA 92093, USA
- Department of Pediatrics, University of California, San Diego. CA 92093, USA
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5
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Yan H, Yang S, Liu M, Bao K, Ren W, Lin F, Gao Y, Wang Z, Liu S, Lv J, Zhao Y. Aptamer-functionalized two-photon SiO 2@GQDs hybrid-based signal amplification strategy for targeted cancer imaging. Analyst 2023; 148:5124-5132. [PMID: 37681669 DOI: 10.1039/d3an01393f] [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: 09/09/2023]
Abstract
Targeted imaging is playing an increasingly important role in the early detection and precise diagnosis of cancer. This need has motivated research into sensory nanomaterials that can be constructed into imaging agents to serve as biosensors. Graphene quantum dots (GQDs) as a valuable nanoprobe show great potential for use in two-photon biological imaging. However, most as-prepared GQDs exhibit a low two-photon absorption cross-section, narrow spectral coverage, and "one-to-one" signal conversion mode, which greatly hamper their wide application in sensitive early-stage cancer detection. Herein, a versatile strategy has been employed to fabricate an aptamer Sgc8c-functionalized hybrid as a proof-of-concept of the signal amplification strategy for targeted cancer imaging. In this study, GQDs with two-photon imaging performance, and silica nanoparticles (SiO2 NPs) as nanocarriers to provide amplified recognition events by high loading of GQD signal tags, were adopted to construct a two-photon hybrid-based signal amplification strategy. Thus, the obtained hybrid (denoted SiO2@GQDs) enabled extremely strong fluorescence with a quantum yield up to 0.49, excellent photostability and biocompatibility, and enhanced bright two-photon fluorescence up to 2.7 times that of bare GQDs (excitation at 760 nm; emission at 512 nm). Moreover, further modification with aptamer Sgc8c showed little disruption to the structure of the SiO2@GQDs-hybrid and the corresponding two-photon emission. Hence, SiO2@GQDs-Sgc8c showed specific responses to target cells. Moreover, it could be used as a signal-amplifying two-photon nanoprobe for targeted cancer imaging with high specificity and great efficiency, which exhibits a distinct green fluorescence compared to that of GQDs-Sgc8c or SiO2@GQDs. This signal amplification strategy holds great potential for the accurate early diagnosis of tumors and offers new tools for the detection a wide variety of analytes in clinical application.
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Affiliation(s)
- Huijuan Yan
- School of Pharmacy, Xinxiang Medical University, Xinxiang, Henan 453003, P. R. China.
| | - Shuo Yang
- School of Pharmacy, Xinxiang Medical University, Xinxiang, Henan 453003, P. R. China.
| | - Mengxue Liu
- School of Pharmacy, Xinxiang Medical University, Xinxiang, Henan 453003, P. R. China.
| | - Ke Bao
- School of Medical Engineering, Engineering Technology Research Center of Neuroscience and Control of Henan Province, Xinxiang Engineering Technology Research Center of Intelligent Rehabilitation Equipment, Xinxiang Medical University, Xinxiang, Henan 453003, P. R. China
| | - Wu Ren
- School of Medical Engineering, Engineering Technology Research Center of Neuroscience and Control of Henan Province, Xinxiang Engineering Technology Research Center of Intelligent Rehabilitation Equipment, Xinxiang Medical University, Xinxiang, Henan 453003, P. R. China
| | - Fei Lin
- The First Affiliated Hospital of Xinxiang Medical University, Weihui, Henan 453100, P. R. China
| | - Yiqiao Gao
- School of Pharmacy, Xinxiang Medical University, Xinxiang, Henan 453003, P. R. China.
| | - Zhenghui Wang
- The First Affiliated Hospital of Xinxiang Medical University, Weihui, Henan 453100, P. R. China
| | - Shuanghui Liu
- Department of Pharmacy, Xinxiang First People's Hospital, Xinxiang, Henan 453000, P. R. China
| | - Jieli Lv
- School of Pharmacy, Xinxiang Medical University, Xinxiang, Henan 453003, P. R. China.
| | - Ying Zhao
- School of Pharmacy, Xinxiang Medical University, Xinxiang, Henan 453003, P. R. China.
- Xinxiang Key Laboratory of Clinical Psychopharmacology, Xinxiang Medical University, Xinxiang, Henan 453003, P. R. China
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6
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Li F, Rong Z, Chen T, Wang P, Di X, Ni L, Liu C. Glycosylation-Engineered Platelet Membrane-Coated Interleukin 10 Nanoparticles for Targeted Inhibition of Vascular Restenosis. Int J Nanomedicine 2023; 18:5011-5030. [PMID: 37693888 PMCID: PMC10492561 DOI: 10.2147/ijn.s423186] [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: 05/27/2023] [Accepted: 08/25/2023] [Indexed: 09/12/2023] Open
Abstract
Purpose The purpose of this study was to improve the immune compatibility and targeting abilities of IL10 nanoparticles coated with platelet membrane (IL10-PNPs) by glycosylation engineering in order to effectively reduce restenosis after vascular injury. Materials and Methods In this study, we removed sialic acids and added α (1,2)-fucose and α (1,3)-fucose to platelet membrane glycoprotein, thus engineering the glycosylation of IL10-PNPs (IL10-GE-PNPs). In vitro and in vivo experiments were conducted to evaluate the targeting and regulatory effects of IL10-GE-PNPs on macrophage polarization, as well as the influence of IL10-GE-PNPs on the phenotypic transformation, proliferation, and migration of smooth muscle cells, and its potential in promoting the repair function of endothelial cells within an inflammatory environment. In order to assess the distribution of IL10-GE-PNP in different organs, in vivo imaging experiments were conducted. Results IL10-GE-PNPs were successfully constructed and demonstrated to effectively target and regulate macrophage polarization in both in vitro and in vivo settings. This regulation resulted in reduced proliferation and migration of smooth muscle cells and promoted the repair of endothelial cells in an inflammatory environment. Consequently, restenosis after vascular injury was reduced. Furthermore, the deposition of IL10-GE-PNPs in the liver and spleen was significantly reduced compared to IL10-PNPs. Conclusion IL10-GE-PNPs emerged as a promising candidate for targeting vascular injury and exhibited potential as an innovative drug delivery system for suppressing vascular restenosis. The engineered glycosylation of IL10-PNPs improved their immune compatibility and targeting abilities, making them an excellent therapeutic option.
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Affiliation(s)
- Fengshi Li
- Department of Vascular Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, People’s Republic of China
| | - Zhihua Rong
- Department of Vascular Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, People’s Republic of China
| | - Tianqi Chen
- Department of Medical Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, People’s Republic of China
| | - Peng Wang
- Department of Vascular Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, People’s Republic of China
| | - Xiao Di
- Department of Vascular Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, People’s Republic of China
| | - Leng Ni
- Department of Vascular Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, People’s Republic of China
| | - Changwei Liu
- Department of Vascular Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, People’s Republic of China
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7
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Hu M, Zhang R, Yang J, Zhao C, Liu W, Huang Y, Lyu H, Xiao S, Guo D, Zhou C, Tang J. The role of N-glycosylation modification in the pathogenesis of liver cancer. Cell Death Dis 2023; 14:222. [PMID: 36990999 PMCID: PMC10060418 DOI: 10.1038/s41419-023-05733-z] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 03/02/2023] [Accepted: 03/13/2023] [Indexed: 03/31/2023]
Abstract
N-glycosylation is one of the most common types of protein modifications and it plays a vital role in normal physiological processes. However, aberrant N-glycan modifications are closely associated with the pathogenesis of diverse diseases, including processes such as malignant transformation and tumor progression. It is known that the N-glycan conformation of the associated glycoproteins is altered during different stages of hepatocarcinogenesis. Characterizing the heterogeneity and biological functions of glycans in liver cancer patients will facilitate a deeper understanding of the molecular mechanisms of liver injury and hepatocarcinogenesis. In this article, we review the role of N-glycosylation in hepatocarcinogenesis, focusing on epithelial-mesenchymal transition, extracellular matrix changes, and tumor microenvironment formation. We highlight the role of N-glycosylation in the pathogenesis of liver cancer and its potential applications in the treatment or diagnosis of liver cancer.
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Affiliation(s)
- Mengyu Hu
- National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Hubei Key Laboratory of Industrial Microbiology, Hubei University of Technology, Wuhan, China
| | - Rui Zhang
- National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Hubei Key Laboratory of Industrial Microbiology, Hubei University of Technology, Wuhan, China
| | - Jiaren Yang
- National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Hubei Key Laboratory of Industrial Microbiology, Hubei University of Technology, Wuhan, China
| | - Chenshu Zhao
- National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Hubei Key Laboratory of Industrial Microbiology, Hubei University of Technology, Wuhan, China
| | - Wei Liu
- National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Hubei Key Laboratory of Industrial Microbiology, Hubei University of Technology, Wuhan, China
| | - Yuan Huang
- National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Hubei Key Laboratory of Industrial Microbiology, Hubei University of Technology, Wuhan, China
| | - Hao Lyu
- National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Hubei Key Laboratory of Industrial Microbiology, Hubei University of Technology, Wuhan, China
| | - Shuai Xiao
- National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Hubei Key Laboratory of Industrial Microbiology, Hubei University of Technology, Wuhan, China
| | - Dong Guo
- National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Hubei Key Laboratory of Industrial Microbiology, Hubei University of Technology, Wuhan, China
| | - Cefan Zhou
- National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Hubei Key Laboratory of Industrial Microbiology, Hubei University of Technology, Wuhan, China.
| | - Jingfeng Tang
- National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Hubei Key Laboratory of Industrial Microbiology, Hubei University of Technology, Wuhan, China.
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8
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Grzesik K, Janik M, Hoja-Łukowicz D. The hidden potential of glycomarkers: Glycosylation studies in the service of cancer diagnosis and treatment. Biochim Biophys Acta Rev Cancer 2023; 1878:188889. [PMID: 37001617 DOI: 10.1016/j.bbcan.2023.188889] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 03/06/2023] [Accepted: 03/07/2023] [Indexed: 03/30/2023]
Abstract
Changes in the glycosylation process appear early in carcinogenesis and evolve with the growth and spread of cancer. The correlation of the characteristic glycosylation signature with the tumor stage and the appropriate therapy choice is an important issue in translational medicine. Oncologists also pay attention to extracellular vesicles as reservoirs of new cancer glycomarkers that can be potent for cancer diagnosis/prognosis. In this review, we recall glycomarkers used in oncology and show their new glycoforms of improved clinical relevance. We summarize current knowledge on the biological functions of glycoepitopes in cancer-derived extracellular vesicles and their potential use in clinical practice. Is glycomics a future of cancer diagnosis? It may be, but in combination with other omics analyses than alone.
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Gao Z, Chen S, Du J, Wu Z, Ge W, Gao S, Zhou Z, Yang X, Xing Y, Shi M, Hu Y, Tang W, Xia J, Zhang X, Jiang J, Yang S. Quantitative analysis of fucosylated glycoproteins by immobilized lectin-affinity fluorescent labeling. RSC Adv 2023; 13:6676-6687. [PMID: 36860533 PMCID: PMC9969232 DOI: 10.1039/d3ra00072a] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 02/14/2023] [Indexed: 03/02/2023] Open
Abstract
Human biofluids are often used to discover disease-specific glycosylation, since abnormal changes in protein glycosylation can discern physiopathological states. Highly glycosylated proteins in biofluids make it possible to identify disease signatures. Glycoproteomic studies on saliva glycoproteins showed that fucosylation was significantly increased during tumorigenesis and that glycoproteins became hyperfucosylated in lung metastases, and tumor stage is associated with fucosylation. Quantification of salivary fucosylation can be achieved by mass spectrometric analysis of fucosylated glycoproteins or fucosylated glycans; however, the use of mass spectrometry is non-trivial for clinical practice. Here, we developed a high-throughput quantitative method, lectin-affinity fluorescent labeling quantification (LAFLQ), to quantify fucosylated glycoproteins without relying on mass spectrometry. Lectins with a specific affinity for fucoses are immobilized on the resin and effectively capture fluorescently labeled fucosylated glycoproteins, which are further quantitatively characterized by fluorescence detection in a 96-well plate. Our results demonstrated that serum IgG can be accurately quantified by lectin and fluorescence detection. Quantification in saliva showed significantly higher fucosylation in lung cancer patients compared to healthy controls or other non-cancer diseases, suggesting that this method has the potential to quantify stage-related fucosylation in lung cancer saliva.
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Affiliation(s)
- Ziyuan Gao
- Department of Respiratory Medicine, The First Affiliated Hospital of Soochow University Suzhou 215006 China
- Center for Clinical Mass Spectrometry, College of Pharmaceutical Sciences, Soochow University Suzhou 215123 China
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Soochow University Suzhou 215006 China
| | - Sufeng Chen
- Clinical Laboratory Center, Zhejiang Provincial People's Hospital Hangzhou Zhejiang 310014 China
| | - Jing Du
- Clinical Laboratory Center, Zhejiang Provincial People's Hospital Hangzhou Zhejiang 310014 China
| | - Zhen Wu
- State Key Laboratory of Genetic Engineering, Department of Biochemistry, School of Life Sciences, Fudan University Shanghai 200438 China
| | - Wei Ge
- Center for Clinical Mass Spectrometry, College of Pharmaceutical Sciences, Soochow University Suzhou 215123 China
- Department of Gastroenterology, The Second Affiliated Hospital of Soochow University Suzhou 215004 China
| | - Song Gao
- Jiangsu Key Laboratory of Marine Pharmaceutical Compound Screening, Jiangsu Key Laboratory of Marine Biological Resources and Environment, Co-Innovation Center of Jiangsu Marine Bio-industry Technology, School of Pharmacy, Jiangsu Ocean University Lianyungang 222005 China
| | - Zeyang Zhou
- Department of General Surgery, The Second Affiliated Hospital of Soochow University Suzhou 215004 China
| | - Xiaodong Yang
- Department of General Surgery, The Second Affiliated Hospital of Soochow University Suzhou 215004 China
| | - Yufei Xing
- Department of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Soochow University Suzhou 215004 China
| | - Minhua Shi
- Department of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Soochow University Suzhou 215004 China
| | - Yunyun Hu
- Department of Gastroenterology, The Second Affiliated Hospital of Soochow University Suzhou 215004 China
| | - Wen Tang
- Department of Gastroenterology, The Second Affiliated Hospital of Soochow University Suzhou 215004 China
| | - Jun Xia
- Clinical Laboratory Center, Zhejiang Provincial People's Hospital Hangzhou Zhejiang 310014 China
| | - Xumin Zhang
- State Key Laboratory of Genetic Engineering, Department of Biochemistry, School of Life Sciences, Fudan University Shanghai 200438 China
| | - Junhong Jiang
- Department of Respiratory Medicine, The First Affiliated Hospital of Soochow University Suzhou 215006 China
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Soochow University Suzhou 215006 China
| | - Shuang Yang
- Center for Clinical Mass Spectrometry, College of Pharmaceutical Sciences, Soochow University Suzhou 215123 China
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10
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Dunbar C, Kushnir MM, Yang YK. Glycosylation Profiling of the Neoplastic Biomarker Alpha Fetoprotein through Intact Mass Protein Analysis. J Proteome Res 2023; 22:226-234. [PMID: 36541409 PMCID: PMC9830635 DOI: 10.1021/acs.jproteome.2c00656] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Elevated serum alpha-fetoprotein (AFP) can be observed in liver cirrhosis and hepatocellular carcinoma (HCC). The glycosylation patterns of AFP have been shown to differentiate these conditions, with AFP glycoforms with core fucosylation (AFP-L3) serving as a malignancy risk predictor for HCC. We have developed a method to detect endogenously present AFP proteoforms and to quantify the relative abundance of AFP-L3 glycoforms (AFP-L3%) in serum samples. This method consists of immune enrichment of endogenous AFP, followed by liquid chromatography coupled with high-resolution mass spectrometry (LC-HRMS) intact protein analysis of AFP. Data are available via ProteomeXchange with identifier PXD038606. Based on the AFP profiles in authentic patient serum samples, we have identified that the frequently observed AFP glycoforms without core fucosylation (AFP-L1) are G2S2 and G2S1, and common AFP-L3 glycoforms are G2FS1 and G2FS2. The intensities of glycoforms in the deconvoluted spectrum are used to quantify AFP-L3% in each sample. The method evaluation included reproducibility, specificity, dilution integrity, and comparison of AFP-L3% with a lectin-binding gel shift electrophoresis (GSE) assay. The AFP-L1 and AFP-L3 proteoforms were reproducibly identified in multiple patient serum samples, resulting in reproducible AFP-L3% quantification. There was considerable agreement between the developed LC-HRMS and commercial GSE methods when quantifying AFP-L3% (Pearson r = 0.63) with a proportional bias.
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Affiliation(s)
- Carmen Dunbar
- ARUP
Institute for Clinical and Experimental Pathology, Salt Lake City, Utah84108, United States
| | - Mark M. Kushnir
- ARUP
Institute for Clinical and Experimental Pathology, Salt Lake City, Utah84108, United States,Department
of Pathology, University of Utah, Salt Lake City, Utah84108, United States
| | - Yifei K. Yang
- ARUP
Institute for Clinical and Experimental Pathology, Salt Lake City, Utah84108, United States,Department
of Pathology, University of Utah, Salt Lake City, Utah84108, United States,
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Zhao L, Guo Y, Liu Z, Ma J, Peng Y, Zhang D. Characterization of glycosylation regulator-mediated glycosylation modification patterns and tumor microenvironment infiltration in hepatocellular carcinoma. Front Genet 2022; 13:1001901. [PMID: 36437920 PMCID: PMC9697576 DOI: 10.3389/fgene.2022.1001901] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2022] [Accepted: 10/18/2022] [Indexed: 04/01/2024] Open
Abstract
Background: Previous studies have shown that glycosylation of proteins ofen plays an important role in HCC. However, the potential mechanism of glycosylation in HCC has not been described systematically. Methods: We comprehensively evaluated the glycosylation patterns in HCC samples based on 43 glycosylation regulators, and annotated the modification patterns with the enrichment of immune cells and stromal cells. Considering the heterogeneity of HCC patients, the glycosylation score was constructed using single-sample gene set enrichment analysis (ssGSEA). We also explored the drugs that different HCC patients were sensitive to based on glycosylation mode and score. Results: We identified three glycosylation-regulated gene subtypes. By annotating the subtypes, it was found that the glycosylation regulated gene subtypes was highly matched with three immunophenotypes of HCC (immune-inflamed, immune-excluded, and immune-desert), regardless of the characteristics of immune cell infiltration or prognosis. Based on the characteristic genes of glycosylation-regulated gene subtypes, we constructed a glycosylation-related model, and found that glycosylation-related model was highly consistent with the glycosylation regulated gene subtypes. The glycosylation score that evaluates the glycosylation characteristics of a single HCC sample has high prognostic value, and the prognosis of patients with high glycosylation score is significantly worse. Interestingly, we found that the glycosylation score was closely related to tumor node metastasis (TNM) staging. By applying glycosylation-regulated gene subtypes and glycosylation score to explore the sensitivity of different patients to anticancer drugs, it was found that the sensitivity of Thapsigargin, Shikonin, Embelin and Epothilone. B was closely related to the glycosylation mode. Conclusion: This study reveals that the diversity of glycosylation patterns plays an important role in HCC. Therefore, evaluating the glycosylation patterns of patients with HCC will be helpful in identifying the characteristics of immune cell infiltration and selecting accurate treatment methods.
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Affiliation(s)
- Linlin Zhao
- Research Center for High Altitude Medicine, Medical College of Qinghai University, Xining, China
- Department of General Surgery, The First People’s Hospital Xining City, Xining, China
- Key Laboratory of Application and Foundation for High-Altitude Medicine Research in Qinghai Province, Xining, China
- Qinghai-Utah Joint Research Key Laboratory for High Altitude Medicine, Xining, China
- College of Eco-Environmental Engineering, Qinghai University, Xining, China
| | - Yang Guo
- Research Center for High Altitude Medicine, Medical College of Qinghai University, Xining, China
- Key Laboratory of Application and Foundation for High-Altitude Medicine Research in Qinghai Province, Xining, China
- Qinghai-Utah Joint Research Key Laboratory for High Altitude Medicine, Xining, China
- College of Eco-Environmental Engineering, Qinghai University, Xining, China
| | - Zhanfeng Liu
- Department of General Surgery, The First People’s Hospital Xining City, Xining, China
| | - Jing Ma
- College of Eco-Environmental Engineering, Qinghai University, Xining, China
| | - Yanfeng Peng
- College of Eco-Environmental Engineering, Qinghai University, Xining, China
| | - Dejun Zhang
- Research Center for High Altitude Medicine, Medical College of Qinghai University, Xining, China
- College of Eco-Environmental Engineering, Qinghai University, Xining, China
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