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Koo D, Cheng X, Udani S, Baghdasarian S, Zhu D, Li J, Hall B, Tsubamoto N, Hu S, Ko J, Cheng K, Di Carlo D. Optimizing cell therapy by sorting cells with high extracellular vesicle secretion. Nat Commun 2024; 15:4870. [PMID: 38849333 PMCID: PMC11161503 DOI: 10.1038/s41467-024-49123-1] [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: 07/14/2023] [Accepted: 05/24/2024] [Indexed: 06/09/2024] Open
Abstract
Critical challenges remain in clinical translation of extracellular vesicle (EV)-based therapeutics due to the absence of methods to enrich cells with high EV secretion. Current cell sorting methods are limited to surface markers that are uncorrelated to EV secretion or therapeutic potential. Here, we utilize a nanovial technology for enrichment of millions of single cells based on EV secretion. This approach is applied to select mesenchymal stem cells (MSCs) with high EV secretion as therapeutic cells for improving treatment. The selected MSCs exhibit distinct transcriptional profiles associated with EV biogenesis and vascular regeneration and maintain high levels of EV secretion after sorting and regrowth. In a mouse model of myocardial infarction, treatment with high-secreting MSCs improves heart functions compared to treatment with low-secreting MSCs. These findings highlight the therapeutic importance of EV secretion in regenerative cell therapies and suggest that selecting cells based on EV secretion could enhance therapeutic efficacy.
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Affiliation(s)
- Doyeon Koo
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Xiao Cheng
- Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, NC, 27599, USA
- Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University, Raleigh, NC, 27607, USA
| | - Shreya Udani
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Sevana Baghdasarian
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Dashuai Zhu
- Department of Biomedical Engineering, Columbia University, New York, NY, 10032, USA
| | | | - Brian Hall
- Cytek Biosciences, Fremont, CA, 94538, USA
| | - Natalie Tsubamoto
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Shiqi Hu
- Department of Biomedical Engineering, Columbia University, New York, NY, 10032, USA
| | - Jina Ko
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Ke Cheng
- Department of Biomedical Engineering, Columbia University, New York, NY, 10032, USA.
| | - Dino Di Carlo
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
- Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
- Department of Mechanical and Aerospace Engineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
- California NanoSystems Institute, Los Angeles, CA, 90095, USA.
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Song Y, Wang L, Xu T, Zhang G, Zhang X. Emerging open-channel droplet arrays for biosensing. Natl Sci Rev 2023; 10:nwad106. [PMID: 38027246 PMCID: PMC10662666 DOI: 10.1093/nsr/nwad106] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 11/23/2022] [Accepted: 12/07/2022] [Indexed: 12/01/2023] Open
Abstract
Open-channel droplet arrays have attracted much attention in the fields of biochemical analysis, biofluid monitoring, biomarker recognition and cell interactions, as they have advantages with regard to miniaturization, parallelization, high-throughput, simplicity and accessibility. Such droplet arrays not only improve the sensitivity and accuracy of a biosensor, but also do not require sophisticated equipment or tedious processes, showing great potential in next-generation miniaturized sensing platforms. This review summarizes typical examples of open-channel microdroplet arrays and focuses on diversified biosensing integrated with multiple signal-output approaches (fluorescence, colorimetric, surface-enhanced Raman scattering (SERS), electrochemical, etc.). The limitations and development prospects of open-channel droplet arrays in biosensing are also discussed with regard to the increasing demand for biosensors.
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Affiliation(s)
- Yongchao Song
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen 518060, China
- Intelligent Wearable Engineering Research Center of Qingdao, Research Center for Intelligent and Wearable Technology, College of Textiles and Clothing, State Key Laboratory of Bio-Fibers and Eco-Textiles, Qingdao University, Qingdao 266071, China
| | - Lirong Wang
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen 518060, China
| | - Tailin Xu
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen 518060, China
| | - Guangyao Zhang
- Intelligent Wearable Engineering Research Center of Qingdao, Research Center for Intelligent and Wearable Technology, College of Textiles and Clothing, State Key Laboratory of Bio-Fibers and Eco-Textiles, Qingdao University, Qingdao 266071, China
| | - Xueji Zhang
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen 518060, China
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Zhang H, Xie J, Feng Q, Ye J, Chen R, Yao J, Zhang G, Yan J, Zeng K, Tu P. High resolution micro-confocal Raman spectrometer-based photo-affinity microarray technology for the investigation of active ingredients - Target protein recognition strategy. Anal Chim Acta 2023; 1268:341373. [PMID: 37268345 DOI: 10.1016/j.aca.2023.341373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 05/12/2023] [Accepted: 05/13/2023] [Indexed: 06/04/2023]
Abstract
Natural products has been used for the prevention and treatment of diseases for a long history. Research on the bioactive components from natural products and their interaction with target proteins are essential for drug discovery. However, studying the binding ability of natural products' active ingredients to target proteins is usually time-consuming and laborious due to their complex and diverse chemical structures. In this study, we have developed a high resolution micro-confocal Raman spectrometer-based photo-affinity microarray (HRMR-PM) technology for the investigation of active ingredients-target protein recognition strategy. The novel photo-affinity microarray was constructed by photo-cross-linking the small molecule with the photo-affinity group (4-[3-(Trifluoromethyl)-3H-diazirin-3-yl]benzoic acid, TAD) on the photo-affinity linker coated (PALC) slides under 365 nm ultraviolet irradiation. The small molecules on the microarrays with specific binding ability might immobilize target protein, which were characterized by high resolution micro-confocal Raman spectrometer. Using this method, more than a dozen components of Shenqi Jiangtang granules (SJG) were made into small molecule probe (SMP) microarrays. As a result, 8 of them had been identified to have α-glucosidase binding ability according to characteristic Raman shift at about 3060 cm-1. These compounds were further verified by different small molecule-protein interaction analysis methods, including contact angle D-value, surface plasmon resonance (SPR) and molecular docking. The results showed that Ginsenosides Mb, Formononetin and Gomisin D exhibited the strongest binding ability. In conclusion, the HRMR-PM strategy for investigating the interaction between target proteins and small molecules has the advantages such as high throughput, low sample consumption and fast qualitative characterization. This strategy is universal which can be applied in the study of in vitro binding activity of various types of small molecules to target proteins.
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Affiliation(s)
- Hui Zhang
- College of Pharmaceutical Science, Zhejiang University of Technology, No. 18, Chaowang Road, Hangzhou, 310014, China; State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing, 100191, China
| | - Jianhui Xie
- College of Pharmaceutical Science, Zhejiang University of Technology, No. 18, Chaowang Road, Hangzhou, 310014, China; School of Pharmaceutical and Chemical Engineering, Taizhou University, Taizhou, 318000, China
| | - Qun Feng
- State Key Laboratory of Generic Manufacture Technology of Chinese Traditional Medicine, Lunan Pharmaceutical Group Co., Ltd., Shandong, 276006, China
| | - Jiamin Ye
- College of Pharmaceutical Science, Zhejiang University of Technology, No. 18, Chaowang Road, Hangzhou, 310014, China
| | - Ruoyu Chen
- College of Pharmaceutical Science, Zhejiang University of Technology, No. 18, Chaowang Road, Hangzhou, 310014, China
| | - Jingchun Yao
- State Key Laboratory of Generic Manufacture Technology of Chinese Traditional Medicine, Lunan Pharmaceutical Group Co., Ltd., Shandong, 276006, China
| | - Guimin Zhang
- State Key Laboratory of Generic Manufacture Technology of Chinese Traditional Medicine, Lunan Pharmaceutical Group Co., Ltd., Shandong, 276006, China
| | - Jizhong Yan
- College of Pharmaceutical Science, Zhejiang University of Technology, No. 18, Chaowang Road, Hangzhou, 310014, China.
| | - Kewu Zeng
- State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing, 100191, China.
| | - Pengfei Tu
- State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing, 100191, China.
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Koo D, Cheng X, Udani S, Zhu D, Li J, Hall B, Tsubamoto N, Hu S, Ko J, Cheng K, Di Carlo D. Optimizing Cell Therapy by Sorting Cells with High Extracellular Vesicle Secretion. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.05.29.542772. [PMID: 37398351 PMCID: PMC10312470 DOI: 10.1101/2023.05.29.542772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
Critical challenges remain in clinical translation of extracellular vesicle (EV)-based therapeutics due to the absence of methods to enrich cells with high EV secretion. Current cell sorting methods are limited to surface markers that are uncorrelated to EV secretion or therapeutic potential. We developed a nanovial technology for enrichment of millions of single cells based on EV secretion. This approach was applied to select mesenchymal stem cells (MSCs) with high EV secretion as therapeutic cells for improving treatment. The selected MSCs exhibited distinct transcriptional profiles associated with EV biogenesis and vascular regeneration and maintained high levels of EV secretion after sorting and regrowth. In a mouse model of myocardial infarction, treatment with high-secreting MSCs improved heart functions compared to treatment with low-secreting MSCs. These findings highlight the therapeutic importance of EV secretion in regenerative cell therapies and suggest that selecting cells based on EV secretion could enhance therapeutic efficacy.
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Affiliation(s)
- Doyeon Koo
- Department of Bioengineering, University of California, Los Angeles; Los Angeles, CA 90095, USA
| | - Xiao Cheng
- Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University; Chapel Hill, NC 27599, and Raleigh, NC 27607, USA
- Department of Molecular Biomedical Sciences and Comparative Medicine Institute, North Carolina State University; Raleigh, NC 27607, USA
| | - Shreya Udani
- Department of Bioengineering, University of California, Los Angeles; Los Angeles, CA 90095, USA
| | - Dashuai Zhu
- Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University; Chapel Hill, NC 27599, and Raleigh, NC 27607, USA
- Department of Molecular Biomedical Sciences and Comparative Medicine Institute, North Carolina State University; Raleigh, NC 27607, USA
| | - Junlang Li
- Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University; Chapel Hill, NC 27599, and Raleigh, NC 27607, USA
- Department of Molecular Biomedical Sciences and Comparative Medicine Institute, North Carolina State University; Raleigh, NC 27607, USA
| | - Brian Hall
- Cytek Biosciences; Fremont, CA 94538, USA
| | - Natalie Tsubamoto
- Department of Bioengineering, University of California, Los Angeles; Los Angeles, CA 90095, USA
| | - Shiqi Hu
- Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University; Chapel Hill, NC 27599, and Raleigh, NC 27607, USA
- Department of Molecular Biomedical Sciences and Comparative Medicine Institute, North Carolina State University; Raleigh, NC 27607, USA
| | - Jina Ko
- Department of Pathology and Laboratory Medicine, University of Pennsylvania; Philadelphia, PA 19104, USA
- Department of Bioengineering, University of Pennsylvania; Philadelphia, PA 19104, USA
| | - Ke Cheng
- Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University; Chapel Hill, NC 27599, and Raleigh, NC 27607, USA
- Department of Molecular Biomedical Sciences and Comparative Medicine Institute, North Carolina State University; Raleigh, NC 27607, USA
| | - Dino Di Carlo
- Department of Bioengineering, University of California, Los Angeles; Los Angeles, CA 90095, USA
- Jonsson Comprehensive Cancer Center, University of California, Los Angeles; Los Angeles, CA 90095, USA
- Department of Mechanical and Aerospace Engineering, University of California, Los Angeles; Los Angeles, CA 90095, USA
- California NanoSystems Institute; Los Angeles, CA 90095, USA
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Zhu F, Liu S, Bai X, Liu X, Lin B, Lu Y. Point‐of‐care multiplexed single‐cell protein secretion analysis based on tyramide signal amplification. VIEW 2022. [DOI: 10.1002/viw.20220033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Affiliation(s)
- Fengjiao Zhu
- Department of Biotechnology Dalian Institute of Chemical Physics Chinese Academy of Sciences Dalian China
- University of Chinese Academy of Sciences Beijing China
| | - Songnan Liu
- Department of Biotechnology Dalian Institute of Chemical Physics Chinese Academy of Sciences Dalian China
- University of Chinese Academy of Sciences Beijing China
| | - Xue Bai
- Department of Biotechnology Dalian Institute of Chemical Physics Chinese Academy of Sciences Dalian China
| | - Xianming Liu
- Department of Biotechnology Dalian Institute of Chemical Physics Chinese Academy of Sciences Dalian China
| | - Bingcheng Lin
- Department of Biotechnology Dalian Institute of Chemical Physics Chinese Academy of Sciences Dalian China
| | - Yao Lu
- Department of Biotechnology Dalian Institute of Chemical Physics Chinese Academy of Sciences Dalian China
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6
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Liu W, Wu Q, Wang W, Xu X, Yang C, Song Y. Enhanced molecular recognition on Microfluidic affinity interfaces. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2022.116827] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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7
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Zhong Q, Huang X, Zhang R, Zhang K, Liu B. Optical Sensing Strategies for Probing Single-Cell Secretion. ACS Sens 2022; 7:1779-1790. [PMID: 35709496 DOI: 10.1021/acssensors.2c00474] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Measuring cell secretion events is crucial to understand the fundamental cell biology that underlies cell-cell communication, migration, proliferation, and differentiation. Although strategies targeting cell populations have provided significant information about live cell secretion, they yield ensemble profiles that obscure intrinsic cell-to-cell variations. Innovation in single-cell analysis has made breakthroughs allowing accurate sensing of a wide variety of secretions and their release dynamics with high spatiotemporal resolution. This perspective focuses on the power of single-cell protocols to revolutionize cell-secretion analysis by allowing real-time and real-space measurements on single live cell resolution. We begin by discussing recent progress on single-cell bioanalytical techniques, specifically optical sensing strategies such as fluorescence-, surface plasmon resonance-, and surface-enhanced Raman scattering-based strategies, capable of in situ real-time monitoring of single-cell released ions, metabolites, proteins, and vesicles. Single-cell sensing platforms which allow for high-throughput high-resolution analysis with enough accuracy are highlighted. Furthermore, we discuss remaining challenges that should be addressed to get a more comprehensive understanding of secretion biology. Finally, future opportunities and potential breakthroughs in secretome analysis that will arise as a result of further development of single-cell sensing approaches are discussed.
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Affiliation(s)
- Qingmei Zhong
- Department of Chemistry, Shanghai Stomatological Hospital, State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200433, China
| | - Xuedong Huang
- Department of Chemistry, Shanghai Stomatological Hospital, State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200433, China
| | - Rongrong Zhang
- Department of Chemistry, Shanghai Stomatological Hospital, State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200433, China
| | - Kun Zhang
- Shanghai Institute for Pediatric Research, Shanghai Key Laboratory of Pediatric Gastroenterology and Nutrition, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - Baohong Liu
- Department of Chemistry, Shanghai Stomatological Hospital, State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200433, China
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Xu K, Jin Y, Li Y, Huang Y, Zhao R. Recent Progress of Exosome Isolation and Peptide Recognition-Guided Strategies for Exosome Research. Front Chem 2022; 10:844124. [PMID: 35281563 PMCID: PMC8908031 DOI: 10.3389/fchem.2022.844124] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Accepted: 02/14/2022] [Indexed: 12/12/2022] Open
Abstract
Exosomes are membrane extracellular vesicles secreted by almost all kinds of cells, which are rich in proteins, lipids, and nucleic acids. As a medium of intercellular communication, exosomes play important roles in biological processes and are closely related to the occurrence, and development of many diseases. The isolation of exosomes and downstream analyses can provide important information to the accurate diagnosis and treatment of diseases. However, exosomes are various in a size range from 30 to 200 nm and exist in complex bio-systems, which provide significant challenges for the isolation and enrichment of exosomes. Different methods have been developed to isolate exosomes, such as the “gold-standard” ultracentrifugation, size-exclusion chromatography, and polymer precipitation. In order to improve the selectivity of isolation, affinity capture strategies based on molecular recognition are becoming attractive. In this review, we introduced the main strategies for exosome isolation and enrichment, and compared their strengths and limitations. Furthermore, combined with the excellent performance of targeted peptides, we summarized the application of peptide recognition in exosome isolation and engineering modification.
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Affiliation(s)
- Kun Xu
- Beijing National Laboratory for Molecular Sciences, CAS Key Laboratory of Analytical Chemistry for Living Biosystems, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing, China
- School of Chemistry, University of Chinese Academy of Sciences, Beijing, China
| | - Yulong Jin
- Beijing National Laboratory for Molecular Sciences, CAS Key Laboratory of Analytical Chemistry for Living Biosystems, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing, China
- School of Chemistry, University of Chinese Academy of Sciences, Beijing, China
- *Correspondence: Yulong Jin, ; Rui Zhao,
| | - Yongming Li
- Beijing National Laboratory for Molecular Sciences, CAS Key Laboratory of Analytical Chemistry for Living Biosystems, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing, China
- School of Chemistry, University of Chinese Academy of Sciences, Beijing, China
| | - Yanyan Huang
- Beijing National Laboratory for Molecular Sciences, CAS Key Laboratory of Analytical Chemistry for Living Biosystems, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing, China
- School of Chemistry, University of Chinese Academy of Sciences, Beijing, China
| | - Rui Zhao
- Beijing National Laboratory for Molecular Sciences, CAS Key Laboratory of Analytical Chemistry for Living Biosystems, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing, China
- School of Chemistry, University of Chinese Academy of Sciences, Beijing, China
- *Correspondence: Yulong Jin, ; Rui Zhao,
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