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Sun Y, Liu Y, Sun D, Liu K, Li Y, Liu Y, Zhang S. A facile single-cell patterning strategy based on harbor-like microwell microfluidics. Biomed Mater 2024; 19:045018. [PMID: 38772387 DOI: 10.1088/1748-605x/ad4e83] [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: 02/22/2024] [Accepted: 05/21/2024] [Indexed: 05/23/2024]
Abstract
Single-cell analysis is an effective method for conducting comprehensive heterogeneity studies ranging from cell phenotype to gene expression. The ability to arrange different cells in a predetermined pattern at single-cell resolution has a wide range of applications in cell-based analysis and plays an important role in facilitating interdisciplinary research by researchers in various fields. Most existing microfluidic microwell chips is a simple and straightforward method, which typically use small-sized microwells to accommodate single cells. However, this method imposes certain limitations on cells of various sizes, and the single-cell capture efficiency is relatively low without the assistance of external forces. Moreover, the microwells limit the spatiotemporal resolution of reagent replacement, as well as cell-to-cell communication. In this study, we propose a new strategy to prepare a single-cell array on a planar microchannel based on microfluidic flip microwells chip platform with large apertures (50 μm), shallow channels (50 μm), and deep microwells (50 μm). The combination of three configuration characteristics contributes to multi-cell trapping and a single-cell array within microwells, while the subsequent chip flipping accomplishes the transfer of the single-cell array to the opposite planar microchannel for cells adherence and growth. Further assisted by protein coating of bovine serum albumin and fibronectin on different layers, the single-cell capture efficiency in microwells is achieved at 92.1% ± 1%, while ultimately 85% ± 3.4% on planar microchannel. To verify the microfluidic flip microwells chip platform, the real-time and heterogeneous study of calcium release and apoptosis behaviours of single cells is carried out. To our knowledge, this is the first time that high-efficiency single-cell acquisition has been accomplished using a circular-well chip design that combines shallow channel, large aperture and deep microwell together. The chip is effective in avoiding the shearing force of high flow rates on cells, and the large apertures better allows cells to sedimentation. Therefore, this strategy owns the advantages of easy preparation and user-friendliness, which is especially valuable for researchers from different fields.
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Affiliation(s)
- Yingnan Sun
- Shandong Province Key Laboratory of Detection Technology for Tumor Makers, School of Medicine, Linyi University, Linyi 276005, People's Republic of China
| | - Yongshu Liu
- Shandong Province Key Laboratory of Detection Technology for Tumor Makers, School of Medicine, Linyi University, Linyi 276005, People's Republic of China
| | - Dezhi Sun
- Xinjiang Key Laboratory of Signal Detection and Processing, School of Computer Science and Technology, Xinjiang University, Urumqi 830046, People's Republic of China
| | - Kexin Liu
- Shandong Province Key Laboratory of Detection Technology for Tumor Makers, School of Medicine, Linyi University, Linyi 276005, People's Republic of China
| | - Yuyan Li
- Shandong Province Key Laboratory of Detection Technology for Tumor Makers, School of Medicine, Linyi University, Linyi 276005, People's Republic of China
| | - Yumin Liu
- Shandong Province Key Laboratory of Detection Technology for Tumor Makers, School of Medicine, Linyi University, Linyi 276005, People's Republic of China
| | - Shusheng Zhang
- Shandong Province Key Laboratory of Detection Technology for Tumor Makers, School of Medicine, Linyi University, Linyi 276005, People's Republic of China
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2
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Kim SE, Yun S, Doh J, Kim HN. Imaging-Based Efficacy Evaluation of Cancer Immunotherapy in Engineered Tumor Platforms and Tumor Organoids. Adv Healthc Mater 2024:e2400475. [PMID: 38815251 DOI: 10.1002/adhm.202400475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 05/16/2024] [Indexed: 06/01/2024]
Abstract
Cancer immunotherapy is used to treat tumors by modulating the immune system. Although the anticancer efficacy of cancer immunotherapy has been evaluated prior to clinical trials, conventional in vivo animal and endpoint models inadequately replicate the intricate process of tumor elimination and reflect human-specific immune systems. Therefore, more sophisticated models that mimic the complex tumor-immune microenvironment must be employed to assess the effectiveness of immunotherapy. Additionally, using real-time imaging technology, a step-by-step evaluation can be applied, allowing for a more precise assessment of treatment efficacy. Here, an overview of the various imaging-based evaluation platforms recently developed for cancer immunotherapeutic applications is presented. Specifically, a fundamental technique is discussed for stably observing immune cell-based tumor cell killing using direct imaging, a microwell that reproduces a confined space for spatial observation, a droplet assay that facilitates cell-cell interactions, and a 3D microphysiological system that reconstructs the vascular environment. Furthermore, it is suggested that future evaluation platforms pursue more human-like immune systems.
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Affiliation(s)
- Seong-Eun Kim
- Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, 02792, South Korea
| | - Suji Yun
- Interdisciplinary Program for Bioengineering, Seoul National University, Seoul, 08826, South Korea
| | - Junsang Doh
- Interdisciplinary Program for Bioengineering, Seoul National University, Seoul, 08826, South Korea
- Department of Materials Science and Engineering, Research Institute of Advanced Materials, Institute of Engineering Research, Bio-MAX institute, Soft Foundry Institute, Seoul National University, Seoul, 08826, South Korea
| | - Hong Nam Kim
- Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, 02792, South Korea
- Division of Bio-Medical Science and Technology, KIST School, Korea University of Science and Technology, Seoul, 02792, Republic of Korea
- School of Mechanical Engineering, Yonsei University, Seoul, 03722, Republic of Korea
- Yonsei-KIST Convergence Research Institute, Yonsei University, Seoul, 03722, Republic of Korea
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3
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Liu W, Huang S, Guo Y, Li X, Dong H, Li J, Yang C, Zhu Z. Deciphering molecular response of cell-cell interactions at the single-cell level by precise on-demand cell assembly. Sci Bull (Beijing) 2024:S2095-9273(24)00361-X. [PMID: 38825548 DOI: 10.1016/j.scib.2024.05.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Revised: 04/27/2024] [Accepted: 05/18/2024] [Indexed: 06/04/2024]
Affiliation(s)
- Weizhi Liu
- State Key Laboratory of Physical Chemistry of Solid Surfaces, Key Laboratory for Chemical Biology of Fujian Province, The Key Laboratory of Spectrochemical Analysis & Instrumentation (Ministry of Education), Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
| | - Shanqing Huang
- State Key Laboratory of Physical Chemistry of Solid Surfaces, Key Laboratory for Chemical Biology of Fujian Province, The Key Laboratory of Spectrochemical Analysis & Instrumentation (Ministry of Education), Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China; Discipline of Intelligent Instrument and Equipment, Xiamen University, Xiamen 361005, China
| | - Ye Guo
- State Key Laboratory of Physical Chemistry of Solid Surfaces, Key Laboratory for Chemical Biology of Fujian Province, The Key Laboratory of Spectrochemical Analysis & Instrumentation (Ministry of Education), Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
| | - Xingrui Li
- Xinjiang Key Laboratory of Biological Resources and Genetic Engineering, College of Life Science and Technology, Xinjiang University, Urumqi 830000, China
| | - He Dong
- State Key Laboratory of Physical Chemistry of Solid Surfaces, Key Laboratory for Chemical Biology of Fujian Province, The Key Laboratory of Spectrochemical Analysis & Instrumentation (Ministry of Education), Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
| | - Juan Li
- State Key Laboratory of Physical Chemistry of Solid Surfaces, Key Laboratory for Chemical Biology of Fujian Province, The Key Laboratory of Spectrochemical Analysis & Instrumentation (Ministry of Education), Department of Chemical Biology, College of Chemistry and Chemical Engineering, 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 Key Laboratory of Spectrochemical Analysis & Instrumentation (Ministry of Education), Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China; Discipline of Intelligent Instrument and Equipment, Xiamen University, Xiamen 361005, China
| | - Zhi Zhu
- State Key Laboratory of Physical Chemistry of Solid Surfaces, Key Laboratory for Chemical Biology of Fujian Province, The Key Laboratory of Spectrochemical Analysis & Instrumentation (Ministry of Education), Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China.
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4
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Shao W, Yao Y, Yang L, Li X, Ge T, Zheng Y, Zhu Q, Ge S, Gu X, Jia R, Song X, Zhuang A. Novel insights into TCR-T cell therapy in solid neoplasms: optimizing adoptive immunotherapy. Exp Hematol Oncol 2024; 13:37. [PMID: 38570883 PMCID: PMC10988985 DOI: 10.1186/s40164-024-00504-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Accepted: 03/21/2024] [Indexed: 04/05/2024] Open
Abstract
Adoptive immunotherapy in the T cell landscape exhibits efficacy in cancer treatment. Over the past few decades, genetically modified T cells, particularly chimeric antigen receptor T cells, have enabled remarkable strides in the treatment of hematological malignancies. Besides, extensive exploration of multiple antigens for the treatment of solid tumors has led to clinical interest in the potential of T cells expressing the engineered T cell receptor (TCR). TCR-T cells possess the capacity to recognize intracellular antigen families and maintain the intrinsic properties of TCRs in terms of affinity to target epitopes and signal transduction. Recent research has provided critical insight into their capability and therapeutic targets for multiple refractory solid tumors, but also exposes some challenges for durable efficacy. In this review, we describe the screening and identification of available tumor antigens, and the acquisition and optimization of TCRs for TCR-T cell therapy. Furthermore, we summarize the complete flow from laboratory to clinical applications of TCR-T cells. Last, we emerge future prospects for improving therapeutic efficacy in cancer world with combination therapies or TCR-T derived products. In conclusion, this review depicts our current understanding of TCR-T cell therapy in solid neoplasms, and provides new perspectives for expanding its clinical applications and improving therapeutic efficacy.
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Affiliation(s)
- Weihuan Shao
- Department of Ophthalmology, Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, 639 Zhi Zao Ju Road, Shanghai Ninth People's Hospital, Shanghai, 200011, People's Republic of China
- Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, 200011, People's Republic of China
| | - Yiran Yao
- Department of Ophthalmology, Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, 639 Zhi Zao Ju Road, Shanghai Ninth People's Hospital, Shanghai, 200011, People's Republic of China
- Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, 200011, People's Republic of China
| | - Ludi Yang
- Department of Ophthalmology, Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, 639 Zhi Zao Ju Road, Shanghai Ninth People's Hospital, Shanghai, 200011, People's Republic of China
- Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, 200011, People's Republic of China
| | - Xiaoran Li
- Department of Ophthalmology, Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, 639 Zhi Zao Ju Road, Shanghai Ninth People's Hospital, Shanghai, 200011, People's Republic of China
- Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, 200011, People's Republic of China
| | - Tongxin Ge
- Department of Ophthalmology, Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, 639 Zhi Zao Ju Road, Shanghai Ninth People's Hospital, Shanghai, 200011, People's Republic of China
- Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, 200011, People's Republic of China
| | - Yue Zheng
- Department of Ophthalmology, Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, 639 Zhi Zao Ju Road, Shanghai Ninth People's Hospital, Shanghai, 200011, People's Republic of China
- Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, 200011, People's Republic of China
| | - Qiuyi Zhu
- Department of Ophthalmology, Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, 639 Zhi Zao Ju Road, Shanghai Ninth People's Hospital, Shanghai, 200011, People's Republic of China
- Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, 200011, People's Republic of China
| | - Shengfang Ge
- Department of Ophthalmology, Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, 639 Zhi Zao Ju Road, Shanghai Ninth People's Hospital, Shanghai, 200011, People's Republic of China
- Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, 200011, People's Republic of China
| | - Xiang Gu
- Department of Ophthalmology, Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, 639 Zhi Zao Ju Road, Shanghai Ninth People's Hospital, Shanghai, 200011, People's Republic of China
- Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, 200011, People's Republic of China
| | - Renbing Jia
- Department of Ophthalmology, Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, 639 Zhi Zao Ju Road, Shanghai Ninth People's Hospital, Shanghai, 200011, People's Republic of China.
- Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, 200011, People's Republic of China.
| | - Xin Song
- Department of Ophthalmology, Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, 639 Zhi Zao Ju Road, Shanghai Ninth People's Hospital, Shanghai, 200011, People's Republic of China.
- Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, 200011, People's Republic of China.
| | - Ai Zhuang
- Department of Ophthalmology, Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, 639 Zhi Zao Ju Road, Shanghai Ninth People's Hospital, Shanghai, 200011, People's Republic of China.
- Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, 200011, People's Republic of China.
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5
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This S, Costantino S, Melichar HJ. Machine learning predictions of T cell antigen specificity from intracellular calcium dynamics. SCIENCE ADVANCES 2024; 10:eadk2298. [PMID: 38446885 PMCID: PMC10917351 DOI: 10.1126/sciadv.adk2298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 01/29/2024] [Indexed: 03/08/2024]
Abstract
Adoptive T cell therapies rely on the production of T cells with an antigen receptor that directs their specificity toward tumor-specific antigens. Methods for identifying relevant T cell receptor (TCR) sequences, predominantly achieved through the enrichment of antigen-specific T cells, represent a major bottleneck in the production of TCR-engineered cell therapies. Fluctuation of intracellular calcium is a proximal readout of TCR signaling and candidate marker for antigen-specific T cell identification that does not require T cell expansion; however, calcium fluctuations downstream of TCR engagement are highly variable. We propose that machine learning algorithms may allow for T cell classification from complex datasets such as polyclonal T cell signaling events. Using deep learning tools, we demonstrate accurate prediction of TCR-transgenic CD8+ T cell activation based on calcium fluctuations and test the algorithm against T cells bearing a distinct TCR as well as polyclonal T cells. This provides the foundation for an antigen-specific TCR sequence identification pipeline for adoptive T cell therapies.
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Affiliation(s)
- Sébastien This
- Centre de recherche de l'Hôpital Maisonneuve-Rosemont, Montréal, Québec, Canada
- Département de Microbiologie, Infectiologie et Immunologie, Université de Montréal, Montréal, Québec, Canada
- Department of Microbiology and Immunology, Goodman Cancer Institute, McGill University, Montréal, Québec, Canada
| | - Santiago Costantino
- Centre de recherche de l'Hôpital Maisonneuve-Rosemont, Montréal, Québec, Canada
- Département d’Ophtalmologie, Université de Montréal, Montréal, Québec, Canada
| | - Heather J. Melichar
- Centre de recherche de l'Hôpital Maisonneuve-Rosemont, Montréal, Québec, Canada
- Department of Microbiology and Immunology, Goodman Cancer Institute, McGill University, Montréal, Québec, Canada
- Département de Médecine, Université de Montréal, Montréal, Québec, Canada
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6
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Labib M, Wang Z, Kim Y, Lin S, Abdrabou A, Yousefi H, Lo PY, Angers S, Sargent EH, Kelley SO. Identification of druggable regulators of cell secretion via a kinome-wide screen and high-throughput immunomagnetic cell sorting. Nat Biomed Eng 2024; 8:263-277. [PMID: 38012306 DOI: 10.1038/s41551-023-01135-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 10/16/2023] [Indexed: 11/29/2023]
Abstract
The identification of genetic regulators of cell secretions is challenging because it requires the sorting of a large number of cells according to their secretion patterns. Here we report the development and applicability of a high-throughput microfluidic method for the analysis of the secretion levels of large populations of immune cells. The method is linked with a kinome-wide loss-of-function CRISPR screen, immunomagnetically sorting the cells according to their secretion levels, and the sequencing of their genomes to identify key genetic modifiers of cell secretion. We used the method, which we validated against flow cytometry for cytokines secreted from primary mouse CD4+ (cluster of differentiation 4-positive) T cells, to discover a subgroup of highly co-expressed kinase-coding genes that regulate interferon-gamma secretion by these cells. We validated the function of the kinases identified using RNA interference, CRISPR knockouts and kinase inhibitors and confirmed the druggability of selected kinases via the administration of a kinase inhibitor in an animal model of colitis. The technique may facilitate the discovery of regulatory mechanisms for immune-cell activation and of therapeutic targets for autoimmune diseases.
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Affiliation(s)
- Mahmoud Labib
- Peninsula Medical School, Faculty of Health, University of Plymouth, Plymouth, UK
- Department of Chemistry, Northwestern University, Evanston, IL, USA
- Department of Pharmaceutical Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Zongjie Wang
- Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL, USA
| | - Yunhye Kim
- Department of Pharmaceutical Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Sichun Lin
- Department of Pharmaceutical Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Abdalla Abdrabou
- Robert H. Laurie Comprehensive Cancer Center, Northwestern University, Chicago, IL, USA
| | - Hanie Yousefi
- Department of Chemistry, Northwestern University, Evanston, IL, USA
| | - Pei-Ying Lo
- Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL, USA
| | - Stéphane Angers
- Department of Pharmaceutical Sciences, University of Toronto, Toronto, Ontario, Canada
- Department of Biochemistry, University of Toronto, Toronto, Ontario, Canada
- Donnelly Centre for Cellular and Biomolecular Research, Toronto, Ontario, Canada
| | - Edward H Sargent
- Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL, USA
- Department of Electrical & Computer Engineering, University of Toronto, Toronto, Ontario, Canada
| | - Shana O Kelley
- Department of Chemistry, Northwestern University, Evanston, IL, USA.
- Department of Pharmaceutical Sciences, University of Toronto, Toronto, Ontario, Canada.
- Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL, USA.
- Robert H. Laurie Comprehensive Cancer Center, Northwestern University, Chicago, IL, USA.
- Department of Biochemistry, University of Toronto, Toronto, Ontario, Canada.
- Donnelly Centre for Cellular and Biomolecular Research, Toronto, Ontario, Canada.
- Institute for Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada.
- Chan Zuckerberg Biohub Chicago, Chicago, IL, USA.
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7
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Kim H, Kim S, Lim H, Chung AJ. Expanding CAR-T cell immunotherapy horizons through microfluidics. LAB ON A CHIP 2024; 24:1088-1120. [PMID: 38174732 DOI: 10.1039/d3lc00622k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
Chimeric antigen receptor (CAR)-T cell therapies have revolutionized cancer treatment, particularly in hematological malignancies. However, their application to solid tumors is limited, and they face challenges in safety, scalability, and cost. To enhance current CAR-T cell therapies, the integration of microfluidic technologies, harnessing their inherent advantages, such as reduced sample consumption, simplicity in operation, cost-effectiveness, automation, and high scalability, has emerged as a powerful solution. This review provides a comprehensive overview of the step-by-step manufacturing process of CAR-T cells, identifies existing difficulties at each production stage, and discusses the successful implementation of microfluidics and related technologies in addressing these challenges. Furthermore, this review investigates the potential of microfluidics-based methodologies in advancing cell-based therapy across various applications, including solid tumors, next-generation CAR constructs, T-cell receptors, and the development of allogeneic "off-the-shelf" CAR products.
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Affiliation(s)
- Hyelee Kim
- Department of Bioengineering, Korea University, 02841 Seoul, Republic of Korea
- Interdisciplinary Program in Precision Public Health (PPH), Korea University, 02841 Seoul, Republic of Korea.
| | - Suyeon Kim
- Department of Bioengineering, Korea University, 02841 Seoul, Republic of Korea
- Interdisciplinary Program in Precision Public Health (PPH), Korea University, 02841 Seoul, Republic of Korea.
| | - Hyunjung Lim
- Interdisciplinary Program in Precision Public Health (PPH), Korea University, 02841 Seoul, Republic of Korea.
| | - Aram J Chung
- Department of Bioengineering, Korea University, 02841 Seoul, Republic of Korea
- Interdisciplinary Program in Precision Public Health (PPH), Korea University, 02841 Seoul, Republic of Korea.
- School of Biomedical Engineering, Korea University, 02841 Seoul, Republic of Korea.
- MxT Biotech, 04785 Seoul, Republic of Korea
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8
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Cheng G, Kuan CY, Lou KW, Ho YP. Light-Responsive Materials in Droplet Manipulation for Biochemical Applications. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024:e2313935. [PMID: 38379512 DOI: 10.1002/adma.202313935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 01/31/2024] [Indexed: 02/22/2024]
Abstract
Miniaturized droplets, characterized by well-controlled microenvironments and capability for parallel processing, have significantly advanced the studies on enzymatic evolution, molecular diagnostics, and single-cell analysis. However, manipulation of small-sized droplets, including moving, merging, and trapping of the targeted droplets for complex biochemical assays and subsequent analysis, is not trivial and remains technically demanding. Among various techniques, light-driven methods stand out as a promising candidate for droplet manipulation in a facile and flexible manner, given the features of contactless interaction, high spatiotemporal resolution, and biocompatibility. This review therefore compiles an in-depth discussion of the governing mechanisms underpinning light-driven droplet manipulation. Besides, light-responsive materials, representing the core of light-matter interaction and the key character converting light into different forms of energy, are particularly assessed in this review. Recent advancements in light-responsive materials and the most notable applications are comprehensively archived and evaluated. Continuous innovations and rational engineering of light-responsive materials are expected to propel the development of light-driven droplet manipulation, equip droplets with enhanced functionality, and broaden the applications of droplets for biochemical studies and routine biochemical investigations.
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Affiliation(s)
- Guangyao Cheng
- Department of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong SAR, 999077, China
| | - Chit Yau Kuan
- Department of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong SAR, 999077, China
| | - Kuan Wen Lou
- State Key Laboratory of Marine Pollution, City University of Hong Kong, Hong Kong SAR, 999077, China
| | - Yi-Ping Ho
- Department of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong SAR, 999077, China
- State Key Laboratory of Marine Pollution, City University of Hong Kong, Hong Kong SAR, 999077, China
- Centre for Novel Biomaterials, The Chinese University of Hong Kong, Hong Kong SAR, 999077, China
- Hong Kong Branch of CAS Center for Excellence in Animal Evolution and Genetics, The Chinese University of Hong Kong, Hong Kong SAR, 999077, China
- The Ministry of Education Key Laboratory of Regeneration Medicine, The Chinese University of Hong Kong, Hong Kong SAR, 999077, China
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9
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Camunas-Soler J. Integrating single-cell transcriptomics with cellular phenotypes: cell morphology, Ca 2+ imaging and electrophysiology. Biophys Rev 2024; 16:89-107. [PMID: 38495444 PMCID: PMC10937895 DOI: 10.1007/s12551-023-01174-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Accepted: 11/29/2023] [Indexed: 03/19/2024] Open
Abstract
I review recent technological advancements in coupling single-cell transcriptomics with cellular phenotypes including morphology, calcium signaling, and electrophysiology. Single-cell RNA sequencing (scRNAseq) has revolutionized cell type classifications by capturing the transcriptional diversity of cells. A new wave of methods to integrate scRNAseq and biophysical measurements is facilitating the linkage of transcriptomic data to cellular function, which provides physiological insight into cellular states. I briefly discuss critical factors of these phenotypical characterizations such as timescales, information content, and analytical tools. Dedicated sections focus on the integration with cell morphology, calcium imaging, and electrophysiology (patch-seq), emphasizing their complementary roles. I discuss their application in elucidating cellular states, refining cell type classifications, and uncovering functional differences in cell subtypes. To illustrate the practical applications and benefits of these methods, I highlight their use in tissues with excitable cell-types such as the brain, pancreatic islets, and the retina. The potential of combining functional phenotyping with spatial transcriptomics for a detailed mapping of cell phenotypes in situ is explored. Finally, I discuss open questions and future perspectives, emphasizing the need for a shift towards broader accessibility through increased throughput.
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Affiliation(s)
- Joan Camunas-Soler
- Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, University of Gothenburg, 405 30 Gothenburg, Sweden
- Wallenberg Centre for Molecular and Translational Medicine, Sahlgrenska Academy, University of Gothenburg, 405 30 Gothenburg, Sweden
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10
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Zhou Z, Pang Y, Ji J, He J, Liu T, Ouyang L, Zhang W, Zhang XL, Zhang ZG, Zhang K, Sun W. Harnessing 3D in vitro systems to model immune responses to solid tumours: a step towards improving and creating personalized immunotherapies. Nat Rev Immunol 2024; 24:18-32. [PMID: 37402992 DOI: 10.1038/s41577-023-00896-4] [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] [Accepted: 05/17/2023] [Indexed: 07/06/2023]
Abstract
In vitro 3D models are advanced biological tools that have been established to overcome the shortcomings of oversimplified 2D cultures and mouse models. Various in vitro 3D immuno-oncology models have been developed to mimic and recapitulate the cancer-immunity cycle, evaluate immunotherapy regimens, and explore options for optimizing current immunotherapies, including for individual patient tumours. Here, we review recent developments in this field. We focus, first, on the limitations of existing immunotherapies for solid tumours, secondly, on how in vitro 3D immuno-oncology models are established using various technologies - including scaffolds, organoids, microfluidics and 3D bioprinting - and thirdly, on the applications of these 3D models for comprehending the cancer-immunity cycle as well as for assessing and improving immunotherapies for solid tumours.
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Affiliation(s)
- Zhenzhen Zhou
- Biomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Haidian District, Beijing, China
- Biomanufacturing and Rapid Forming Technology Key Laboratory of Beijing, Beijing, China
- Key Laboratory for Advanced Materials Processing Technology, Ministry of Education, Beijing, China
| | - Yuan Pang
- Biomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Haidian District, Beijing, China.
- Biomanufacturing and Rapid Forming Technology Key Laboratory of Beijing, Beijing, China.
- Key Laboratory for Advanced Materials Processing Technology, Ministry of Education, Beijing, China.
| | - Jingyuan Ji
- Biomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Haidian District, Beijing, China
- Biomanufacturing and Rapid Forming Technology Key Laboratory of Beijing, Beijing, China
- Key Laboratory for Advanced Materials Processing Technology, Ministry of Education, Beijing, China
| | - Jianyu He
- Biomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Haidian District, Beijing, China
- Biomanufacturing and Rapid Forming Technology Key Laboratory of Beijing, Beijing, China
- Key Laboratory for Advanced Materials Processing Technology, Ministry of Education, Beijing, China
| | - Tiankun Liu
- Biomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Haidian District, Beijing, China
- Biomanufacturing and Rapid Forming Technology Key Laboratory of Beijing, Beijing, China
- Key Laboratory for Advanced Materials Processing Technology, Ministry of Education, Beijing, China
| | - Liliang Ouyang
- Biomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Haidian District, Beijing, China
- Biomanufacturing and Rapid Forming Technology Key Laboratory of Beijing, Beijing, China
- Key Laboratory for Advanced Materials Processing Technology, Ministry of Education, Beijing, China
| | - Wen Zhang
- Department of Immunology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Chaoyang District, Beijing, China
| | - Xue-Li Zhang
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Zhi-Gang Zhang
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Kaitai Zhang
- State Key Laboratory of Molecular Oncology, Department of Aetiology and Carcinogenesis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Chaoyang District, Beijing, China
| | - Wei Sun
- Biomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Haidian District, Beijing, China.
- Biomanufacturing and Rapid Forming Technology Key Laboratory of Beijing, Beijing, China.
- Key Laboratory for Advanced Materials Processing Technology, Ministry of Education, Beijing, China.
- Department of Mechanical Engineering, Drexel University, Philadelphia, PA, USA.
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11
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Zhang D, Qiao L. Microfluidics Coupled Mass Spectrometry for Single Cell Multi-Omics. SMALL METHODS 2024; 8:e2301179. [PMID: 37840412 DOI: 10.1002/smtd.202301179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 10/02/2023] [Indexed: 10/17/2023]
Abstract
Population-level analysis masks significant heterogeneity between individual cells, making it difficult to accurately reflect the true intricacies of life activities. Microfluidics is a technique that can manipulate individual cells effectively and is commonly coupled with a variety of analytical methods for single-cell analysis. Single-cell omics provides abundant molecular information at the single-cell level, fundamentally revealing differences in cell types and biological states among cell individuals, leading to a deeper understanding of cellular phenotypes and life activities. Herein, this work summarizes the microfluidic chips designed for single-cell isolation, manipulation, trapping, screening, and sorting, including droplet microfluidic chips, microwell arrays, hydrodynamic microfluidic chips, and microchips with microvalves. This work further reviews the studies on single-cell proteomics, metabolomics, lipidomics, and multi-omics based on microfluidics and mass spectrometry. Finally, the challenges and future application of single-cell multi-omics are discussed.
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Affiliation(s)
- Dongxue Zhang
- Department of Chemistry, Institutes of Biomedical Sciences, and Minhang Hospital, Fudan University, Shanghai, 20000, China
| | - Liang Qiao
- Department of Chemistry, Institutes of Biomedical Sciences, and Minhang Hospital, Fudan University, Shanghai, 20000, China
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12
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Abizanda-Campo S, Virumbrales-Muñoz M, Humayun M, Marmol I, Beebe DJ, Ochoa I, Oliván S, Ayuso JM. Microphysiological systems for solid tumor immunotherapy: opportunities and challenges. MICROSYSTEMS & NANOENGINEERING 2023; 9:154. [PMID: 38106674 PMCID: PMC10724276 DOI: 10.1038/s41378-023-00616-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 08/29/2023] [Accepted: 09/20/2023] [Indexed: 12/19/2023]
Abstract
Immunotherapy remains more effective for hematologic tumors than for solid tumors. One of the main challenges to immunotherapy of solid tumors is the immunosuppressive microenvironment these tumors generate, which limits the cytotoxic capabilities of immune effector cells (e.g., cytotoxic T and natural killer cells). This microenvironment is characterized by hypoxia, nutrient starvation, accumulated waste products, and acidic pH. Tumor-hijacked cells, such as fibroblasts, macrophages, and T regulatory cells, also contribute to this inhospitable microenvironment for immune cells by secreting immunosuppressive cytokines that suppress the antitumor immune response and lead to immune evasion. Thus, there is a strong interest in developing new drugs and cell formulations that modulate the tumor microenvironment and reduce tumor cell immune evasion. Microphysiological systems (MPSs) are versatile tools that may accelerate the development and evaluation of these therapies, although specific examples showcasing the potential of MPSs remain rare. Advances in microtechnologies have led to the development of sophisticated microfluidic devices used to recapitulate tumor complexity. The resulting models, also known as microphysiological systems (MPSs), are versatile tools with which to decipher the molecular mechanisms driving immune cell antitumor cytotoxicity, immune cell exhaustion, and immune cell exclusion and to evaluate new targeted immunotherapies. Here, we review existing microphysiological platforms to study immuno-oncological applications and discuss challenges and opportunities in the field.
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Affiliation(s)
- Sara Abizanda-Campo
- Department of Dermatology, University of Wisconsin-Madison, Madison, WI USA
- University of Wisconsin Carbone Cancer Center, Madison, WI USA
- Department of Biomedical Engineering, University of Wisconsin, Madison, WI USA
- Tissue Microenvironment Lab (TME lab), Aragón Institute of Engineering Research (I3A), University of Zaragoza, Zaragoza, Spain
- Instituto de Investigación Sanitaria Aragón (IISA), Zaragoza, Spain
- Centro Investigación Biomédica en Red. Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Zaragoza, Spain
| | - María Virumbrales-Muñoz
- University of Wisconsin Carbone Cancer Center, Madison, WI USA
- Department of Obstetrics and Gynecology, University of Wisconsin-Madison, Madison, WI USA
| | - Mouhita Humayun
- Department of Biological Engineering, Massachusetts Institute of Technology Cambridge, Cambridge, MA USA
| | - Ines Marmol
- Tissue Microenvironment Lab (TME lab), Aragón Institute of Engineering Research (I3A), University of Zaragoza, Zaragoza, Spain
- Instituto de Investigación Sanitaria Aragón (IISA), Zaragoza, Spain
| | - David J Beebe
- University of Wisconsin Carbone Cancer Center, Madison, WI USA
- Department of Biomedical Engineering, University of Wisconsin, Madison, WI USA
- Department of Pathology & Laboratory Medicine, University of Wisconsin, Madison, WI USA
| | - Ignacio Ochoa
- Tissue Microenvironment Lab (TME lab), Aragón Institute of Engineering Research (I3A), University of Zaragoza, Zaragoza, Spain
- Instituto de Investigación Sanitaria Aragón (IISA), Zaragoza, Spain
- Centro Investigación Biomédica en Red. Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Zaragoza, Spain
| | - Sara Oliván
- Tissue Microenvironment Lab (TME lab), Aragón Institute of Engineering Research (I3A), University of Zaragoza, Zaragoza, Spain
- Instituto de Investigación Sanitaria Aragón (IISA), Zaragoza, Spain
| | - Jose M Ayuso
- Department of Dermatology, University of Wisconsin-Madison, Madison, WI USA
- University of Wisconsin Carbone Cancer Center, Madison, WI USA
- Department of Biomedical Engineering, University of Wisconsin, Madison, WI USA
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13
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Shah RK, Cygan E, Kozlik T, Colina A, Zamora AE. Utilizing immunogenomic approaches to prioritize targetable neoantigens for personalized cancer immunotherapy. Front Immunol 2023; 14:1301100. [PMID: 38149253 PMCID: PMC10749952 DOI: 10.3389/fimmu.2023.1301100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Accepted: 11/29/2023] [Indexed: 12/28/2023] Open
Abstract
Advancements in sequencing technologies and bioinformatics algorithms have expanded our ability to identify tumor-specific somatic mutation-derived antigens (neoantigens). While recent studies have shown neoantigens to be compelling targets for cancer immunotherapy due to their foreign nature and high immunogenicity, the need for increasingly accurate and cost-effective approaches to rapidly identify neoantigens remains a challenging task, but essential for successful cancer immunotherapy. Currently, gene expression analysis and algorithms for variant calling can be used to generate lists of mutational profiles across patients, but more care is needed to curate these lists and prioritize the candidate neoantigens most capable of inducing an immune response. A growing amount of evidence suggests that only a handful of somatic mutations predicted by mutational profiling approaches act as immunogenic neoantigens. Hence, unbiased screening of all candidate neoantigens predicted by Whole Genome Sequencing/Whole Exome Sequencing may be necessary to more comprehensively access the full spectrum of immunogenic neoepitopes. Once putative cancer neoantigens are identified, one of the largest bottlenecks in translating these neoantigens into actionable targets for cell-based therapies is identifying the cognate T cell receptors (TCRs) capable of recognizing these neoantigens. While many TCR-directed screening and validation assays have utilized bulk samples in the past, there has been a recent surge in the number of single-cell assays that provide a more granular understanding of the factors governing TCR-pMHC interactions. The goal of this review is to provide an overview of existing strategies to identify candidate neoantigens using genomics-based approaches and methods for assessing neoantigen immunogenicity. Additionally, applications, prospects, and limitations of some of the current single-cell technologies will be discussed. Finally, we will briefly summarize some of the recent models that have been used to predict TCR antigen specificity and analyze the TCR receptor repertoire.
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Affiliation(s)
- Ravi K. Shah
- Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Erin Cygan
- Department of Microbiology and Immunology, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Tanya Kozlik
- Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Alfredo Colina
- Department of Microbiology and Immunology, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Anthony E. Zamora
- Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, United States
- Department of Microbiology and Immunology, Medical College of Wisconsin, Milwaukee, WI, United States
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14
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Gaa R, Kumari K, Mayer HM, Yanakieva D, Tsai SP, Joshi S, Guenther R, Doerner A. An integrated mammalian library approach for optimization and enhanced microfluidics-assisted antibody hit discovery. ARTIFICIAL CELLS, NANOMEDICINE, AND BIOTECHNOLOGY 2023; 51:74-82. [PMID: 36762883 DOI: 10.1080/21691401.2023.2173219] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]
Abstract
Recent years have seen the development of a variety of mammalian library approaches for display and secretion mode. Advantages include library approaches for engineering, preservation of precious immune repertoires and their repeated interrogation, as well as screening in final therapeutic format and host. Mammalian display approaches for antibody optimization exploit these advantages, necessitating the generation of large libraries but in turn enabling early screening for both manufacturability and target specificity. For suitable libraries, high antibody integration rates and resulting monoclonality need to be balanced - we present a solution for sufficient transmutability and acceptable monoclonality by applying an optimized ratio of coding to non-coding lentivirus. The recent advent of microfluidic-assisted hit discovery represents a perfect match to mammalian libraries in secretion mode, as the lower throughput fits well with the facile generation of libraries comprising a few million functional clones. In the presented work, Chinese Hamster Ovary cells were engineered to both express the target of interest and secrete antibodies in relevant formats, and specific clones were strongly enriched by high throughput screening for autocrine cellular binding. The powerful combination of mammalian secretion libraries and microfluidics-assisted hit discovery could reduce attrition rates and increase the probability to identify the best possible therapeutic antibody hits faster.
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Affiliation(s)
- Ramona Gaa
- Protein Engineering and Antibody Technologies, Merck KGaA, Darmstadt, Germany
| | - Kavita Kumari
- Discovery Biology, Syngene International, Phase-IV, Bangalore, India
| | - Hannah Melina Mayer
- Protein Engineering and Antibody Technologies, Merck KGaA, Darmstadt, Germany
| | - Desislava Yanakieva
- Protein Engineering and Antibody Technologies, Merck KGaA, Darmstadt, Germany
| | - Shang-Pu Tsai
- Protein Engineering and Antibody Technologies, EMD Serono, Billerica, MA, USA
| | - Saurabh Joshi
- Discovery Biology, Syngene International, Phase-IV, Bangalore, India
| | - Ralf Guenther
- Protein Engineering and Antibody Technologies, Merck KGaA, Darmstadt, Germany
| | - Achim Doerner
- Protein Engineering and Antibody Technologies, Merck KGaA, Darmstadt, Germany
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15
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Pang Z, Lu MM, Zhang Y, Gao Y, Bai JJ, Gu JY, Xie L, Wu WZ. Neoantigen-targeted TCR-engineered T cell immunotherapy: current advances and challenges. Biomark Res 2023; 11:104. [PMID: 38037114 PMCID: PMC10690996 DOI: 10.1186/s40364-023-00534-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 10/22/2023] [Indexed: 12/02/2023] Open
Abstract
Adoptive cell therapy using T cell receptor-engineered T cells (TCR-T) is a promising approach for cancer therapy with an expectation of no significant side effects. In the human body, mature T cells are armed with an incredible diversity of T cell receptors (TCRs) that theoretically react to the variety of random mutations generated by tumor cells. The outcomes, however, of current clinical trials using TCR-T cell therapies are not very successful especially involving solid tumors. The therapy still faces numerous challenges in the efficient screening of tumor-specific antigens and their cognate TCRs. In this review, we first introduce TCR structure-based antigen recognition and signaling, then describe recent advances in neoantigens and their specific TCR screening technologies, and finally summarize ongoing clinical trials of TCR-T therapies against neoantigens. More importantly, we also present the current challenges of TCR-T cell-based immunotherapies, e.g., the safety of viral vectors, the mismatch of T cell receptor, the impediment of suppressive tumor microenvironment. Finally, we highlight new insights and directions for personalized TCR-T therapy.
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Affiliation(s)
- Zhi Pang
- Liver Cancer Institute, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Clinical Center for Biotherapy, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Man-Man Lu
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, 200237, China
| | - Yu Zhang
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, 200237, China
| | - Yuan Gao
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, 200237, China
| | - Jin-Jin Bai
- Liver Cancer Institute, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Clinical Center for Biotherapy, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Jian-Ying Gu
- Clinical Center for Biotherapy, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Lu Xie
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, 200237, China.
| | - Wei-Zhong Wu
- Liver Cancer Institute, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
- Clinical Center for Biotherapy, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
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16
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Diao Z, Wang X, Zhang J, Ge A, Xu T, Kan L, Li Y, Ji Y, Jing X, Xu J, Ma B. Optical-based microbubble for on-demand droplet release from static droplet array (SDA) for dispensing one droplet into one tube. Biosens Bioelectron 2023; 240:115639. [PMID: 37660461 DOI: 10.1016/j.bios.2023.115639] [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: 05/17/2023] [Revised: 08/22/2023] [Accepted: 08/24/2023] [Indexed: 09/05/2023]
Abstract
Static droplet array (SDA) is a pivotal tool for high-capacity screening assays, yet extraction and collection the target droplets that contain unique analytes or cells from the SDA remains one major technical bottleneck that limits its broader application. Here we present an optical-based on-demand droplet release (OODR) system by incorporating a 1064 nm laser-responsive indium tin oxide (ITO) layer into a chamber array-based droplet microfluidic chip. By focusing the 1064 nm laser onto the ITO layer, microbubbles can be created via local heating to selectively push-out the droplets from the chamber. Then the released droplet is readily exported in a one-droplet-one-tube (ODOT) manner by the inherent capillary force into pipette tip. Releasing of the droplets containing fluorescein sodium demonstrated ∼100% successful rate (9 out of 6400 droplets were successfully released) and low residual (only ∼5% of the droplet volume remains in the chamber). White or fluorescence image-based releasing of single-cell-droplets directly after cell loading or multi-cells-droplets derived from on-chip single-cell cultivation for both E. coli and yeast cells further demonstrated the wide applicability of OODR. The present system is user-friendly and has the potential to be applied in various high-throughput screening assays, including single molecule/cell analysis, drug screening, and phenotype-based cell sorting.
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Affiliation(s)
- Zhidian Diao
- Single-Cell Center, CAS Key Laboratory of Biofuels, Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, 266101, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Shandong Energy Institute, Qingdao, China; Qingdao New Energy Shandong Laboratory, Qingdao, China
| | - Xixian Wang
- Single-Cell Center, CAS Key Laboratory of Biofuels, Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, 266101, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Shandong Energy Institute, Qingdao, China; Qingdao New Energy Shandong Laboratory, Qingdao, China
| | - Jiaping Zhang
- Single-Cell Center, CAS Key Laboratory of Biofuels, Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, 266101, China; Shandong Energy Institute, Qingdao, China; Qingdao New Energy Shandong Laboratory, Qingdao, China
| | - Anle Ge
- Single-Cell Center, CAS Key Laboratory of Biofuels, Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, 266101, China; Shandong Energy Institute, Qingdao, China; Qingdao New Energy Shandong Laboratory, Qingdao, China
| | - Teng Xu
- Single-Cell Center, CAS Key Laboratory of Biofuels, Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, 266101, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Shandong Energy Institute, Qingdao, China; Qingdao New Energy Shandong Laboratory, Qingdao, China
| | - Lingyan Kan
- Single-Cell Center, CAS Key Laboratory of Biofuels, Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, 266101, China; Shandong Energy Institute, Qingdao, China; Qingdao New Energy Shandong Laboratory, Qingdao, China
| | - Yuandong Li
- Single-Cell Center, CAS Key Laboratory of Biofuels, Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, 266101, China; Shandong Energy Institute, Qingdao, China; Qingdao New Energy Shandong Laboratory, Qingdao, China
| | - Yuetong Ji
- Single-Cell Center, CAS Key Laboratory of Biofuels, Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, 266101, China; Qingdao Single-Cell Biotech., Co., Ltd., Qingdao, China
| | - Xiaoyan Jing
- Single-Cell Center, CAS Key Laboratory of Biofuels, Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, 266101, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Shandong Energy Institute, Qingdao, China; Qingdao New Energy Shandong Laboratory, Qingdao, China
| | - Jian Xu
- Single-Cell Center, CAS Key Laboratory of Biofuels, Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, 266101, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Shandong Energy Institute, Qingdao, China; Qingdao New Energy Shandong Laboratory, Qingdao, China.
| | - Bo Ma
- Single-Cell Center, CAS Key Laboratory of Biofuels, Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, 266101, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Shandong Energy Institute, Qingdao, China; Qingdao New Energy Shandong Laboratory, Qingdao, China.
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17
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Kawasaki F, Mori Y, Mimori T, Sato I, Ota S. Identification of In-Droplet Multicellular Communities by Light-Induced Combinatorial DNA Barcoding. Chemistry 2023; 29:e202301133. [PMID: 37404204 DOI: 10.1002/chem.202301133] [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: 04/10/2023] [Revised: 06/30/2023] [Accepted: 07/03/2023] [Indexed: 07/06/2023]
Abstract
A microdroplet co-culture system is useful for the parallel assessment of numerous possible cell-cell interactions by generating isolated subcommunities from a pool of heterogeneous cells. However, the integration of single-cell sequencing into such analysis has been limited due to the lack of effective molecular identifiers for each in-droplet subcommunity. Herein, we present a strategy for generating in-droplet subcommunity identifiers using DNA-functionalized microparticles encapsulated within microdroplets. These microparticles serve as initial information carriers, where their combinations act as distinct identifiers for in-droplet subcommunity. Upon optical trigger, DNA barcoding molecules encoding the microparticle information are once released in the microdroplets and then tag cell membranes. The tagged DNA molecules then serve as a second information carrier readable by single-cell sequencing to reconstitute the community in silico in the single-cell RNA sequencing data space.
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Affiliation(s)
- Fumiko Kawasaki
- Center for Advanced Intelligence Project, RIKEN, Chuo-ku, Tokyo, 103-0027, Japan
- Current affiliation: Institute for Quantitative Biosciences, The University of Tokyo, 1-1-1, Yayoi, Bunkyo-ku, Tokyo, 113-0032, Japan
| | - Yuka Mori
- Center for Advanced Intelligence Project, RIKEN, Chuo-ku, Tokyo, 103-0027, Japan
| | - Takahiro Mimori
- Center for Advanced Intelligence Project, RIKEN, Chuo-ku, Tokyo, 103-0027, Japan
| | - Issei Sato
- Graduate School of Information Science and Technology, The University of Tokyo, Bunkyo-ku, Tokyo, 113-8656, Japan
| | - Sadao Ota
- Research Center for Advanced Science and Technology, The University of Tokyo, Meguro-ku, Tokyo, 153-8904, Japan
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18
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Liao P, Huang Q, Zhang J, Su Y, Xiao R, Luo S, Wu Z, Zhu L, Li J, Hu Q. How single-cell techniques help us look into lung cancer heterogeneity and immunotherapy. Front Immunol 2023; 14:1238454. [PMID: 37671151 PMCID: PMC10475738 DOI: 10.3389/fimmu.2023.1238454] [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: 06/11/2023] [Accepted: 08/03/2023] [Indexed: 09/07/2023] Open
Abstract
Lung cancer patients tend to have strong intratumoral and intertumoral heterogeneity and complex tumor microenvironment, which are major contributors to the efficacy of and drug resistance to immunotherapy. From a new perspective, single-cell techniques offer an innovative way to look at the intricate cellular interactions between tumors and the immune system and help us gain insights into lung cancer and its response to immunotherapy. This article reviews the application of single-cell techniques in lung cancer, with focuses directed on the heterogeneity of lung cancer and the efficacy of immunotherapy. This review provides both theoretical and experimental information for the future development of immunotherapy and personalized treatment for the management of lung cancer.
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Affiliation(s)
- Pu Liao
- Department of Pathology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Key Laboratory of Pulmonary Diseases of Ministry of Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qi Huang
- Department of Respiratory and Critical Care Medicine, Hubei Province Clinical Research Center for Major Respiratory Diseases, National Health Commission (NHC) Key Laboratory of Pulmonary Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Jiwei Zhang
- Department of Pathology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Key Laboratory of Pulmonary Diseases of Ministry of Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuan Su
- Key Laboratory of Pulmonary Diseases of Ministry of Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Respiratory and Critical Care Medicine, Hubei Province Clinical Research Center for Major Respiratory Diseases, National Health Commission (NHC) Key Laboratory of Pulmonary Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Rui Xiao
- Key Laboratory of Pulmonary Diseases of Ministry of Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Pathophysiology, School of Basic Medicine; Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shengquan Luo
- Key Laboratory of Pulmonary Diseases of Ministry of Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Pathophysiology, School of Basic Medicine; Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zengbao Wu
- Department of Neurosurgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Liping Zhu
- Key Laboratory of Pulmonary Diseases of Ministry of Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Pathophysiology, School of Basic Medicine; Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jiansha Li
- Key Laboratory of Pulmonary Diseases of Ministry of Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Institute of Pathology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Qinghua Hu
- Key Laboratory of Pulmonary Diseases of Ministry of Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Pathophysiology, School of Basic Medicine; Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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19
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Cheng G, Xiao Q, Kuan CY, Ho YP. On-demand light-driven release of droplets stabilized via a photoresponsive fluorosurfactant. MICROSYSTEMS & NANOENGINEERING 2023; 9:89. [PMID: 37448968 PMCID: PMC10336138 DOI: 10.1038/s41378-023-00567-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 06/03/2023] [Indexed: 07/18/2023]
Abstract
Water-in-oil droplets have emerged as promising microreactors for high-throughput biochemical analysis due to their features of reduced sample consumption and automated operation. For a typical screening application, droplets are often trapped for continuous monitoring of the reaction over an extended period, followed by the selective retrieval of targeted droplets based on the after-effect of biochemical reactions. While techniques for droplet trapping are well developed, retrieval of targeted droplets mainly demands complicated device fabrication or sophisticated control. Herein, facile and rapid selective droplet release is achieved by utilizing a new class of photoresponsive fluorosurfactant based on plasmonic nanoparticles. The intense photothermal response provided by this novel photoresponsive fluorosurfactant is capable of vaporizing the fluorocarbon oil at the droplet interface under laser illumination, resulting in a bubble releasing a trapped droplet on demand. A fully automated fluorescence-activated droplet release platform has also been developed to demonstrate its potential for droplet-based large-scale screening applications.
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Affiliation(s)
- Guangyao Cheng
- Department of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Qinru Xiao
- Department of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Chit Yau Kuan
- Department of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yi-Ping Ho
- Department of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China
- Centre for Novel Biomaterials, The Chinese University of Hong Kong, Hong Kong SAR, China
- Hong Kong Branch of CAS Center for Excellence in Animal Evolution and Genetics, The Chinese University of Hong Kong, Hong Kong SAR, 999077 China
- The Ministry of Education Key Laboratory of Regeneration Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
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20
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Peng AY, Lee BE. Microphysiological Systems for Cancer Immunotherapy Research and Development. Adv Biol (Weinh) 2023:e2300077. [PMID: 37409385 PMCID: PMC10770294 DOI: 10.1002/adbi.202300077] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 06/13/2023] [Indexed: 07/07/2023]
Abstract
Cancer immunotherapy focuses on the use of patients' adaptive immune systems to combat cancer. In the past decade, FDA has approved many immunotherapy products for cancer patients who suffer from primary tumors, tumor relapse, and metastases. However, these immunotherapies still show resistance in many patients and often lead to inconsistent responses in patients due to variations in tumor genetic mutations and tumor immune microenvironment. Microfluidics-based organ-on-a-chip technologies or microphysiological systems have opened new ways that can provide relatively fast screening for personalized immunotherapy and help researchers and clinicians understand tumor-immune interactions in a patient-specific manner. They also have the potential to overcome the limitations of traditional drug screening and testing, given the models provide a more realistic 3D microenvironment with better controllability, reproducibility, and physiological relevance. This review focuses on the cutting-edge microphysiological organ-on-a-chip devices developed in recent years for studying cancer immunity and testing cancer immunotherapeutic agents, as well as some of the largest challenges of translating this technology to clinical applications in immunotherapy and personalized medicine.
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Affiliation(s)
- A. Yansong Peng
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY 14853, USA
| | - B. Esak Lee
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY 14853, USA
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21
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Li Y, Qi J, Liu Y, Zheng Y, Zhu H, Zang Y, Guan X, Xie S, Zhao H, Fu Y, Xiang H, Zhang W, Chen H, Liu H, Zhao Y, Feng Y, Bu F, Liang Y, Li Y, Xu Q, He Y, Sun L, Liu L, Gu Y, Xu X, Hou Y, Dong X, Liu Y. High-Throughput Screening of Functional Neo-Antigens and Their Specific T-Cell Receptors via the Jurkat Reporter System Combined with Droplet Microfluidics. Anal Chem 2023. [PMID: 37300490 DOI: 10.1021/acs.analchem.3c01754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
T-cell receptor (TCR)-engineered T cells can precisely recognize a broad repertoire of targets derived from both intracellular and surface proteins of tumor cells. TCR-T adoptive cell therapy has shown safety and promising efficacy in solid tumor immunotherapy. However, antigen-specific functional TCR screening is time-consuming and expensive, which limits its application clinically. Here, we developed a novel integrated antigen-TCR screening platform based on droplet microfluidic technology, enabling high-throughput peptide-major histocompatibility complex (pMHC)-to-TCR paired screening with a high sensitivity and low background signal. We introduced DNA barcoding technology to label peptide antigen candidate-loaded antigen-presenting cells and Jurkat reporter cells to check the specificity of pMHC-TCR candidates. Coupled with the next-generation sequencing pipeline, interpretation of the DNA barcodes and the gene expression level of the Jurkat T-cell activation pathway provided a clear peptide-MHC-TCR recognition relationship. Our proof-of-principle study demonstrates that the platform could achieve pMHC-TCR paired high-throughput screening, which is expected to be used in the cross-reactivity and off-target high-throughput paired testing of candidate pMHC-TCRs in clinical applications.
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Affiliation(s)
- Yijian Li
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
- BGI-Shenzhen, Shenzhen 518083, China
- Guangdong Provincial Key Laboratory of Human Disease Genomics, Shenzhen Key Laboratory of Genomics, Shenzhen 518083, China
| | - Jingyu Qi
- BGI-Shenzhen, Shenzhen 518083, China
- School of Basic Medicine, Qingdao Medical College, Qingdao University, Qingdao 266071, China
| | - Yang Liu
- Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen 518116, China
| | | | | | - Yupeng Zang
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
- BGI-Shenzhen, Shenzhen 518083, China
| | - Xiangyu Guan
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
- BGI-Shenzhen, Shenzhen 518083, China
| | | | | | - Yunyun Fu
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
- BGI-Shenzhen, Shenzhen 518083, China
| | - Haitao Xiang
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
- BGI-Shenzhen, Shenzhen 518083, China
| | - Weicong Zhang
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
- BGI-Shenzhen, Shenzhen 518083, China
| | | | - Huan Liu
- BGI-Shenzhen, Shenzhen 518083, China
| | | | - Yu Feng
- BGI-Shenzhen, Shenzhen 518083, China
| | - Fanyu Bu
- BGI-Shenzhen, Shenzhen 518083, China
| | - Yanling Liang
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
- BGI-Shenzhen, Shenzhen 518083, China
| | - Yang Li
- BGI-Shenzhen, Shenzhen 518083, China
| | - Qumiao Xu
- BGI-Shenzhen, Shenzhen 518083, China
| | - Ying He
- Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen 518060, China
| | - Li Sun
- Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen 518060, China
| | - Longqi Liu
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
- Guangdong Provincial Key Laboratory of Genome Read and Write, Shenzhen 518120, China
| | - Ying Gu
- BGI-Shenzhen, Shenzhen 518083, China
- Guangdong Provincial Key Laboratory of Genome Read and Write, Shenzhen 518120, China
| | - Xun Xu
- BGI-Shenzhen, Shenzhen 518083, China
- Guangdong Provincial Key Laboratory of Genome Read and Write, Shenzhen 518120, China
| | - Yong Hou
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
- BGI-Shenzhen, Shenzhen 518083, China
| | - Xuan Dong
- BGI-Shenzhen, Shenzhen 518083, China
- Guangdong Provincial Key Laboratory of Human Disease Genomics, Shenzhen Key Laboratory of Genomics, Shenzhen 518083, China
| | - Ya Liu
- BGI-Shenzhen, Shenzhen 518083, China
- Shenzhen Key Laboratory of Single-Cell Omics, BGI-Shenzhen, Shenzhen 518100, China
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22
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Christodoulou MI, Zaravinos A. Single-Cell Analysis in Immuno-Oncology. Int J Mol Sci 2023; 24:ijms24098422. [PMID: 37176128 PMCID: PMC10178969 DOI: 10.3390/ijms24098422] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 05/01/2023] [Accepted: 05/04/2023] [Indexed: 05/15/2023] Open
Abstract
The complexity of the cellular and non-cellular milieu surrounding human tumors plays a decisive role in the course and outcome of disease. The high variability in the distribution of the immune and non-immune compartments within the tumor microenvironments (TME) among different patients governs the mode of their response or resistance to current immunotherapeutic approaches. Through deciphering this diversity, one can tailor patients' management to meet an individual's needs. Single-cell (sc) omics technologies have given a great boost towards this direction. This review gathers recent data about how multi-omics profiling, including the utilization of single-cell RNA sequencing (scRNA-seq), assay for transposase-accessible chromatin with sequencing (scATAC-seq), T-cell receptor sequencing (scTCR-seq), mass, tissue-based, or microfluidics cytometry, and related bioinformatics tools, contributes to the high-throughput assessment of a large number of analytes at single-cell resolution. Unravelling the exact TCR clonotype of the infiltrating T cells or pinpointing the classical or novel immune checkpoints across various cell subsets of the TME provide a boost to our comprehension of adaptive immune responses, their antigen specificity and dynamics, and grant suggestions for possible therapeutic targets. Future steps are expected to merge high-dimensional data with tissue localization data, which can serve the investigation of novel multi-modal biomarkers for the selection and/or monitoring of the optimal treatment from the current anti-cancer immunotherapeutic armamentarium.
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Affiliation(s)
- Maria-Ioanna Christodoulou
- Tumor Immunology and Biomarkers Group, Basic and Translational Cancer Research Center (BTCRC), 1516 Nicosia, Cyprus
- Department of Life Sciences, School of Sciences, European University Cyprus, 2404 Nicosia, Cyprus
| | - Apostolos Zaravinos
- Department of Life Sciences, School of Sciences, European University Cyprus, 2404 Nicosia, Cyprus
- Cancer Genetics, Genomics and Systems Biology Group, Basic and Translational Cancer Research Center (BTCRC), 1516 Nicosia, Cyprus
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23
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Segaliny AI, Jayaraman J, Chen X, Chong J, Luxon R, Fung A, Fu Q, Jiang X, Rivera R, Ma X, Ren C, Zimak J, Hedde PN, Shang Y, Wu G, Zhao W. A high throughput bispecific antibody discovery pipeline. Commun Biol 2023; 6:380. [PMID: 37029216 PMCID: PMC10082157 DOI: 10.1038/s42003-023-04746-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Accepted: 03/22/2023] [Indexed: 04/09/2023] Open
Abstract
Bispecific antibodies (BsAbs) represent an emerging class of immunotherapy, but inefficiency in the current discovery has limited their broad clinical availability. Here we report a high throughput, agnostic, single-cell-based functional screening pipeline, comprising molecular and cell engineering for efficient generation of BsAb library cells, followed by functional interrogation at the single-cell level to identify and sort positive clones and downstream sequence identification and functionality characterization. Using a CD19xCD3 bispecific T cell engager (BiTE) as a model, we demonstrate that our single-cell platform possesses a high throughput screening efficiency of up to one and a half million variant library cells per run and can isolate rare functional clones at a low abundance of 0.008%. Using a complex CD19xCD3 BiTE-expressing cell library with approximately 22,300 unique variants comprising combinatorially varied scFvs, connecting linkers and VL/VH orientations, we have identified 98 unique clones, including extremely rare ones (~ 0.001% abundance). We also discovered BiTEs that exhibit novel properties and insights to design variable preferences for functionality. We expect our single-cell platform to not only increase the discovery efficiency of new immunotherapeutics, but also enable identifying generalizable design principles based on an in-depth understanding of the inter-relationships between sequence, structure, and function.
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Affiliation(s)
| | - Jayapriya Jayaraman
- Department of Biomedical Engineering, University of California, Irvine, Irvine, CA, 92697, USA
| | - Xiaoming Chen
- Amberstone Biosciences, Inc., Irvine, CA, 92618, USA
| | | | - Ryan Luxon
- Amberstone Biosciences, Inc., Irvine, CA, 92618, USA
| | - Audrey Fung
- Amberstone Biosciences, Inc., Irvine, CA, 92618, USA
| | - Qiwei Fu
- Amberstone Biosciences, Inc., Irvine, CA, 92618, USA
| | - Xianzhi Jiang
- Amberstone Biosciences, Inc., Irvine, CA, 92618, USA
| | | | - Xiaoya Ma
- Amberstone Biosciences, Inc., Irvine, CA, 92618, USA
| | - Ci Ren
- Amberstone Biosciences, Inc., Irvine, CA, 92618, USA
| | - Jan Zimak
- Department of Pharmaceutical Sciences, University of California, Irvine, Irvine, CA, 92697, USA
| | - Per Niklas Hedde
- Department of Biomedical Engineering, University of California, Irvine, Irvine, CA, 92697, USA
| | - Yonglei Shang
- Amberstone Biosciences, Inc., Irvine, CA, 92618, USA
| | - George Wu
- Amberstone Biosciences, Inc., Irvine, CA, 92618, USA.
| | - Weian Zhao
- Department of Biomedical Engineering, University of California, Irvine, Irvine, CA, 92697, USA.
- Department of Pharmaceutical Sciences, University of California, Irvine, Irvine, CA, 92697, USA.
- Sue and Bill Gross Stem Cell Research Center, University of California, Irvine, Irvine, CA, 92697, USA.
- Chao Family Comprehensive Cancer Center, University of California, Irvine, Irvine, CA, 92697, USA.
- Edwards Life Sciences Center for Advanced Cardiovascular Technology, University of California, Irvine, Irvine, CA, 92697, USA.
- Department of Biological Chemistry, University of California, Irvine, Irvine, CA, 92697, USA.
- Institute for Immunology, University of California, Irvine, Irvine, CA, 92697, USA.
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24
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Zhong J, Liang M, Tang Q, Ai Y. Selectable encapsulated cell quantity in droplets via label-free electrical screening and impedance-activated sorting. Mater Today Bio 2023; 19:100594. [PMID: 36910274 PMCID: PMC9999206 DOI: 10.1016/j.mtbio.2023.100594] [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: 01/02/2023] [Revised: 02/21/2023] [Accepted: 02/22/2023] [Indexed: 03/02/2023] Open
Abstract
Single-cell encapsulation in droplets has become a powerful tool in immunotherapy, medicine discovery, and single-cell analysis, thanks to its capability for cell confinement in picoliter volumes. However, the purity and throughput of single-cell droplets are limited by random encapsulation process, which resuts in a majority of empty and multi-cells droplets. Herein we introduce the first label-free selectable cell quantity encapsulation in droplets sorting system to overcome this problem. The system utilizes a simple and reliable electrical impedance based screening (98.9% of accuracy) integrated with biocompatible acoustic sorting to select single-cell droplets, achieving 90.3% of efficiency and up to 200 Hz of throughput, by removing multi-cells (∼60% of rejection) and empty droplets (∼90% of rejection). We demonstrate the use of the droplet sorting to improve the throughput of single-cell encapsulation by ∼9-fold compared to the conventional random encapsulation process.
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Affiliation(s)
- Jianwei Zhong
- Pillar of Engineering Product Development, Singapore University of Technology and Design, 8 Somapah Road, Singapore, 487372, Singapore
| | - Minhui Liang
- Pillar of Engineering Product Development, Singapore University of Technology and Design, 8 Somapah Road, Singapore, 487372, Singapore
| | - Qiang Tang
- Jiangsu Provincial Engineering Research Center for Biomedical Materials and Advanced Medical Devices, Faculty of Mechanical and Material Engineering, Huaiyin Institute of Technology, Huaian, 223003, China
| | - Ye Ai
- Pillar of Engineering Product Development, Singapore University of Technology and Design, 8 Somapah Road, Singapore, 487372, Singapore
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25
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LaBelle CA, Zhang RJ, Hunsucker SA, Armistead PM, Allbritton NL. Microraft arrays for serial-killer CD19 chimeric antigen receptor T cells and single cell isolation. Cytometry A 2023; 103:208-220. [PMID: 35899783 PMCID: PMC9883594 DOI: 10.1002/cyto.a.24678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Revised: 04/30/2022] [Accepted: 07/21/2022] [Indexed: 01/31/2023]
Abstract
Chimeric antigen receptor T (CAR-T) cell immunotherapies have seen success in treating hematological malignancies in recent years; however, the results can be highly variable. Single cell heterogeneity plays a key role in the variable efficacy of CAR-T cell treatments yet is largely unexplored. A major challenge is to understand the killing behavior and phenotype of individual CAR-T cells, which are able to serially kill targets. Thus, a platform capable of measuring time-dependent CAR-T cell mediated killing and then isolating single cells for downstream assays would be invaluable in characterizing CAR-T cells. An automated microraft array platform was designed to track CD19 CAR-T cell killing of CD19+ target cells and CAR-T cell motility over time followed by CAR-T cell collection based on killing behavior. The platform demonstrated automated CAR-T cell counting with up to 98% specificity and 96% sensitivity, and single cells were isolated with 89% efficiency. On average, 2.3% of single CAR-T cells were shown to participate in serial-killing of target cells, killing a maximum of three target cells in a 6 h period. The cytotoxicity and motility of >7000 individual CAR-T cells was tracked across four microraft arrays. The automated microraft array platform measured temporal cell-mediated cytotoxicity, CAR-T cell motility, CAR-T cell death, and CAR-T cell to target cell distances, followed by the capability to sort any desired CAR-T cell. The pipeline has the potential to further our understanding of T cell-based cancer immunotherapies and improve cell-therapy products for better patient outcomes.
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Affiliation(s)
- Cody A. LaBelle
- Joint Department of Biomedical Engineering, University of North Carolina, Chapel Hill, NC, and North Carolina State University, Raleigh, NC
- Department of Bioengineering, University of Washington, Seattle, WA
| | - Raymond J. Zhang
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC
| | - Sally A. Hunsucker
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC
| | - Paul M. Armistead
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC
- Department of Medicine, Division of Hematology, University of North Carolina, Chapel Hill, NC
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26
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Duro-Sánchez S, Alonso MR, Arribas J. Immunotherapies against HER2-Positive Breast Cancer. Cancers (Basel) 2023; 15:cancers15041069. [PMID: 36831412 PMCID: PMC9954045 DOI: 10.3390/cancers15041069] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 01/20/2023] [Accepted: 01/27/2023] [Indexed: 02/11/2023] Open
Abstract
Breast cancer is the leading cause of cancer-related deaths among women worldwide. HER2-positive breast cancer, which represents 15-20% of all cases, is characterized by the overexpression of the HER2 receptor. Despite the variety of treatments available for HER2-positive breast cancer, both targeted and untargeted, many patients do not respond to therapy and relapse and eventually metastasize, with a poor prognosis. Immunotherapeutic approaches aim to enhance the antitumor immune response to prevent tumor relapse and metastasis. Several immunotherapies have been approved for solid tumors, but their utility for HER2-positive breast cancer has yet to be confirmed. In this review, we examine the different immunotherapeutic strategies being tested in HER2-positive breast cancer, from long-studied cancer vaccines to immune checkpoint blockade, which targets immune checkpoints in both T cells and tumor cells, as well as the promising adoptive cell therapy in various forms. We discuss how some of these new approaches may contribute to the prevention of tumor progression and be used after standard-of-care therapies for resistant HER2-positive breast tumors, highlighting the benefits and drawbacks of each. We conclude that immunotherapy holds great promise for the treatment of HER2-positive tumors, with the potential to completely eradicate tumor cells and prevent the progression of the disease.
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Affiliation(s)
- Santiago Duro-Sánchez
- Preclinical & Translational Research Program, Vall d’Hebron Institute of Oncology (VHIO), 08035 Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), 08035 Barcelona, Spain
- Department of Biochemistry and Molecular Biology, Universitat Autónoma de Barcelona, Campus de la UAB, 08193 Bellaterra, Spain
- Cancer Research Program, Hospital del Mar Medical Research Institute (IMIM), 08003 Barcelona, Spain
| | - Macarena Román Alonso
- Preclinical & Translational Research Program, Vall d’Hebron Institute of Oncology (VHIO), 08035 Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), 08035 Barcelona, Spain
- Department of Biochemistry and Molecular Biology, Universitat Autónoma de Barcelona, Campus de la UAB, 08193 Bellaterra, Spain
- Cancer Research Program, Hospital del Mar Medical Research Institute (IMIM), 08003 Barcelona, Spain
| | - Joaquín Arribas
- Preclinical & Translational Research Program, Vall d’Hebron Institute of Oncology (VHIO), 08035 Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), 08035 Barcelona, Spain
- Department of Biochemistry and Molecular Biology, Universitat Autónoma de Barcelona, Campus de la UAB, 08193 Bellaterra, Spain
- Cancer Research Program, Hospital del Mar Medical Research Institute (IMIM), 08003 Barcelona, Spain
- Department of Medicine and Life Sciences, Universitat Pompeu Fabra (UPF), 08002 Barcelona, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA), 08010 Barcelona, Spain
- Correspondence:
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27
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Ngan Ngo TK, Kuo CH, Tu TY. Recent advances in microfluidic-based cancer immunotherapy-on-a-chip strategies. BIOMICROFLUIDICS 2023; 17:011501. [PMID: 36647540 PMCID: PMC9840534 DOI: 10.1063/5.0108792] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2022] [Accepted: 12/23/2022] [Indexed: 06/17/2023]
Abstract
Despite several extraordinary improvements in cancer immunotherapy, its therapeutic effectiveness against many distinct cancer types remains mostly limited and requires further study. Different microfluidic-based cancer immunotherapy-on-a-chip (ITOC) systems have been developed to help researchers replicate the tumor microenvironment and immune system. Numerous microfluidic platforms can potentially be used to perform various on-chip activities related to early clinical cancer immunotherapy processes, such as improving immune checkpoint blockade therapy, studying immune cell dynamics, evaluating cytotoxicity, and creating vaccines or organoid models from patient samples. In this review, we summarize the most recent advancements in the development of various microfluidic-based ITOC devices for cancer treatment niches and present future perspectives on microfluidic devices for immunotherapy research.
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Affiliation(s)
- Thi Kim Ngan Ngo
- Biomedical Engineering Department, College of Engineering, National Cheng Kung University, Tainan 70101, Taiwan
| | - Cheng-Hsiang Kuo
- International Center for Wound Repair and Regeneration, National Cheng Kung University, Tainan 70101, Taiwan
| | - Ting-Yuan Tu
- Author to whom correspondence should be addressed:
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28
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Gaa R, Mayer HM, Noack D, Kumari K, Guenther R, Tsai SP, Ji Q, Doerner A. Mammalian display to secretion switchable libraries for antibody preselection and high throughput functional screening. MAbs 2023; 15:2251190. [PMID: 37646089 PMCID: PMC10469430 DOI: 10.1080/19420862.2023.2251190] [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: 05/25/2023] [Revised: 08/10/2023] [Accepted: 08/20/2023] [Indexed: 09/01/2023] Open
Abstract
Recently, there has been a co-evolution of mammalian libraries and diverse microfluidic approaches for therapeutic antibody hit discovery. Mammalian libraries enable the preservation of full immune repertoires, produce hit candidates in final format and facilitate broad combinatorial bispecific antibody screening, while several available microfluidic methodologies offer opportunities for rapid high-content screens. Here, we report proof-of-concept studies exploring the potential of combining microfluidic technologies with mammalian libraries for antibody discovery. First, antibody secretion, target co-expression and integration of appropriate reporter cell lines enabled the selection of in-trans acting agonistic bispecific antibodies. Second, a functional screen for internalization was established and comparison of autocrine versus co-encapsulation setups highlighted the advantages of an autocrine one cell approach. Third, synchronization of antibody-secreting cells prior to microfluidic screens reduced assay variability. Furthermore, a display to secretion switchable system was developed and applied for pre-enrichment of antibody clones with high manufacturability in conjunction with subsequent screening for functional properties. These case studies demonstrate the system's feasibility and may serve as basis for further development of integrated workflows combining manufacturability sorting and functional screens for the identification of optimal therapeutic antibody candidates.
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Affiliation(s)
- Ramona Gaa
- NBE Technologies, Merck KGaA, Darmstadt, Germany
| | | | | | - Kavita Kumari
- Discovery Biology, Syngene International, Bangalore, India
| | | | | | - Qingyong Ji
- NBE Technologies, EMD Serono, Billerica, MA, USA
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29
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Gaa R, Mayer HM, Noack D, Doerner A. Efficient Microfluidic Downstream Processes for Rapid Antibody Hit Confirmation. Methods Mol Biol 2023; 2681:327-341. [PMID: 37405656 DOI: 10.1007/978-1-0716-3279-6_18] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/06/2023]
Abstract
Microfluidics has been recently applied to better understand the spatial and temporal progression of the immune response in several species, for tool and biotherapeutic production cell line development and rapid antibody hit discovery. Several technologies have emerged that allow interrogation of large diversities of antibody-secreting cells in defined compartments such as picoliter droplets or nanopens. Mostly primary cells of immunized rodents but also recombinant mammalian libraries are screened for specific binding or directly for the desired function. While post-microfluidic downstream processes appear as standard steps, they represent considerable and interdependent challenges that can lead to high attrition rates even if original selections had been successful. In addition to next-generation sequencing recently described in depth elsewhere, this report aims at in detail explanations of exemplary droplet-based sorting followed by single-cell antibody gene PCR recovery and reproduction or single-cell sub-cultivation for crude supernatant confirmatory studies.
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Affiliation(s)
- Ramona Gaa
- Protein Engineering and Antibody Technologies, Merck Healthcare KGaA, Darmstadt, Germany
| | - Hannah Melina Mayer
- Protein Engineering and Antibody Technologies, Merck Healthcare KGaA, Darmstadt, Germany
| | - Daniela Noack
- Protein Engineering and Antibody Technologies, Merck Healthcare KGaA, Darmstadt, Germany
| | - Achim Doerner
- Protein Engineering and Antibody Technologies, Merck Healthcare KGaA, Darmstadt, Germany.
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30
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Li B, Ma X, Cheng J, Tian T, Guo J, Wang Y, Pang L. Droplets microfluidics platform-A tool for single cell research. Front Bioeng Biotechnol 2023; 11:1121870. [PMID: 37152651 PMCID: PMC10154550 DOI: 10.3389/fbioe.2023.1121870] [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: 12/12/2022] [Accepted: 04/03/2023] [Indexed: 05/09/2023] Open
Abstract
Cells are the most basic structural and functional units of living organisms. Studies of cell growth, differentiation, apoptosis, and cell-cell interactions can help scientists understand the mysteries of living systems. However, there is considerable heterogeneity among cells. Great differences between individuals can be found even within the same cell cluster. Cell heterogeneity can only be clearly expressed and distinguished at the level of single cells. The development of droplet microfluidics technology opens up a new chapter for single-cell analysis. Microfluidic chips can produce many nanoscale monodisperse droplets, which can be used as small isolated micro-laboratories for various high-throughput, precise single-cell analyses. Moreover, gel droplets with good biocompatibility can be used in single-cell cultures and coupled with biomolecules for various downstream analyses of cellular metabolites. The droplets are also maneuverable; through physical and chemical forces, droplets can be divided, fused, and sorted to realize single-cell screening and other related studies. This review describes the channel design, droplet generation, and control technology of droplet microfluidics and gives a detailed overview of the application of droplet microfluidics in single-cell culture, single-cell screening, single-cell detection, and other aspects. Moreover, we provide a recent review of the application of droplet microfluidics in tumor single-cell immunoassays, describe in detail the advantages of microfluidics in tumor research, and predict the development of droplet microfluidics at the single-cell level.
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Affiliation(s)
- Bixuan Li
- Xi’an Key Laboratory of Pathogenic Microorganism and Tumor Immunity, Xi’an, China
- School of Basic Medicine, Xi’an Medical University, Xi’an, China
| | - Xi Ma
- Xi’an Key Laboratory of Pathogenic Microorganism and Tumor Immunity, Xi’an, China
- School of Basic Medicine, Xi’an Medical University, Xi’an, China
| | - Jianghong Cheng
- Xi’an Key Laboratory of Pathogenic Microorganism and Tumor Immunity, Xi’an, China
- School of Basic Medicine, Xi’an Medical University, Xi’an, China
| | - Tian Tian
- Xi’an Key Laboratory of Pathogenic Microorganism and Tumor Immunity, Xi’an, China
- School of Basic Medicine, Xi’an Medical University, Xi’an, China
| | - Jiao Guo
- Xi’an Key Laboratory of Pathogenic Microorganism and Tumor Immunity, Xi’an, China
- School of Basic Medicine, Xi’an Medical University, Xi’an, China
| | - Yang Wang
- Xi’an Key Laboratory of Pathogenic Microorganism and Tumor Immunity, Xi’an, China
- School of Basic Medicine, Xi’an Medical University, Xi’an, China
- *Correspondence: Yang Wang,
| | - Long Pang
- Xi’an Key Laboratory of Pathogenic Microorganism and Tumor Immunity, Xi’an, China
- School of Basic Medicine, Xi’an Medical University, Xi’an, China
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31
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Tang X, Huang Q, Arai T, Liu X. Cell pairing for biological analysis in microfluidic devices. BIOMICROFLUIDICS 2022; 16:061501. [PMID: 36389274 PMCID: PMC9646252 DOI: 10.1063/5.0095828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 10/10/2022] [Indexed: 06/16/2023]
Abstract
Cell pairing at the single-cell level usually allows a few cells to contact or seal in a single chamber and provides high-resolution imaging. It is pivotal for biological research, including understanding basic cell functions, creating cancer treatment technologies, developing drugs, and more. Laboratory chips based on microfluidics have been widely used to trap, immobilize, and analyze cells due to their high efficiency, high throughput, and good biocompatibility properties. Cell pairing technology in microfluidic devices provides spatiotemporal research on cellular interactions and a highly controlled approach for cell heterogeneity studies. In the last few decades, many researchers have emphasized cell pairing research based on microfluidics. They designed various microfluidic device structures for different biological applications. Herein, we describe the current physical methods of microfluidic devices to trap cell pairs. We emphatically summarize the practical applications of cell pairing in microfluidic devices, including cell fusion, cell immunity, gap junction intercellular communication, cell co-culture, and other applications. Finally, we review the advances and existing challenges of the presented devices and then discuss the possible development directions to promote medical and biological research.
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Affiliation(s)
- Xiaoqing Tang
- Key Laboratory of Biomimetic Robots and Systems, Ministry of Education, State Key Laboratory of Intelligent Control and Decision of Complex System, Beijing Advanced Innovation Center for Intelligent Robots and Systems, and School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China
| | - Qiang Huang
- Key Laboratory of Biomimetic Robots and Systems, Ministry of Education, State Key Laboratory of Intelligent Control and Decision of Complex System, Beijing Advanced Innovation Center for Intelligent Robots and Systems, and School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China
| | - Tatsuo Arai
- Key Laboratory of Biomimetic Robots and Systems, Ministry of Education, State Key Laboratory of Intelligent Control and Decision of Complex System, Beijing Advanced Innovation Center for Intelligent Robots and Systems, and School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China
| | - Xiaoming Liu
- Key Laboratory of Biomimetic Robots and Systems, Ministry of Education, State Key Laboratory of Intelligent Control and Decision of Complex System, Beijing Advanced Innovation Center for Intelligent Robots and Systems, and School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China
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32
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Zhang N, Liang K, Liu Z, Sun T, Wang J. ANN-Based Instantaneous Simulation of Particle Trajectories in Microfluidics. MICROMACHINES 2022; 13:2100. [PMID: 36557399 PMCID: PMC9781979 DOI: 10.3390/mi13122100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 11/24/2022] [Accepted: 11/27/2022] [Indexed: 06/17/2023]
Abstract
Microfluidics has shown great potential in cell analysis, where the flowing path in the microfluidic device is important for the final study results. However, the design process is time-consuming and labor-intensive. Therefore, we proposed an ANN method with three dense layers to analyze particle trajectories at the critical intersections and then put them together with the particle trajectories in straight channels. The results showed that the ANN prediction results are highly consistent with COMSOL simulation results, indicating the applicability of the proposed ANN method. In addition, this method not only shortened the simulation time but also lowered the computational expense, providing a useful tool for researchers who want to receive instant simulation results of particle trajectories.
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Affiliation(s)
- Naiyin Zhang
- School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Kaicong Liang
- Key Laboratory of RF Circuits and Systems, Ministry of Education, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Zhenya Liu
- Key Laboratory of RF Circuits and Systems, Ministry of Education, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Taotao Sun
- Key Laboratory of RF Circuits and Systems, Ministry of Education, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Junchao Wang
- Key Laboratory of RF Circuits and Systems, Ministry of Education, Hangzhou Dianzi University, Hangzhou 310018, China
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33
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Bran A, Tanase NO, Balan C. Interface Dynamics and the Influence of Gravity on Droplet Generation in a Y-microchannel. MICROMACHINES 2022; 13:1941. [PMID: 36363964 PMCID: PMC9696363 DOI: 10.3390/mi13111941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 11/02/2022] [Accepted: 11/07/2022] [Indexed: 06/16/2023]
Abstract
The present experimental investigation is focused on the influence of gravity upon water-droplet formation in a Y-microchannel filled with oil. The flows are in the Stokes regime, with very small capillary numbers and Ohnesorge numbers less than one. The study was performed in a square-cross-section channel, with a = 1.0 mm as the characteristic dimension and a flow rate ratio κ in a range between 0.55 and 1.8. The interface dynamics in the vicinity of breakup and the transitory plug flow regime after the detachment of the droplet were analysed. The dependence of droplet length L was correlated with the channel position against the gravity and κ parameters. The results of the work prove that, for κ=1, the droplet length L is independent of channel orientation.
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34
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Tiemeijer BM, Descamps L, Hulleman J, Sleeboom JJF, Tel J. A Microfluidic Approach for Probing Heterogeneity in Cytotoxic T-Cells by Cell Pairing in Hydrogel Droplets. MICROMACHINES 2022; 13:1910. [PMID: 36363930 PMCID: PMC9692327 DOI: 10.3390/mi13111910] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/01/2022] [Revised: 10/31/2022] [Accepted: 11/03/2022] [Indexed: 06/16/2023]
Abstract
Cytotoxic T-cells (CTLs) exhibit strong effector functions to leverage antigen-specific anti-tumoral and anti-viral immunity. When naïve CTLs are activated by antigen-presenting cells (APCs) they display various levels of functional heterogeneity. To investigate this, we developed a single-cell droplet microfluidics platform that allows for deciphering single CTL activation profiles by multi-parameter analysis. We identified and correlated functional heterogeneity based on secretion profiles of IFNγ, TNFα, IL-2, and CD69 and CD25 surface marker expression levels. Furthermore, we strengthened our approach by incorporating low-melting agarose to encapsulate pairs of single CTLs and artificial APCs in hydrogel droplets, thereby preserving spatial information over cell pairs. This approach provides a robust tool for high-throughput and single-cell analysis of CTLs compatible with flow cytometry for subsequent analysis and sorting. The ability to score CTL quality, combined with various potential downstream analyses, could pave the way for the selection of potent CTLs for cell-based therapeutic strategies.
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Affiliation(s)
- Bart M. Tiemeijer
- Laboratory of Immunoengineering, Department Biomedical Engineering, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
- Institute for Complex Molecular Systems, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
| | - Lucie Descamps
- Laboratory of Immunoengineering, Department Biomedical Engineering, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
- Institute for Complex Molecular Systems, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
| | - Jesse Hulleman
- Laboratory of Immunoengineering, Department Biomedical Engineering, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
- Institute for Complex Molecular Systems, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
| | - Jelle J. F. Sleeboom
- Microsystems, Department of Mechanical Engineering, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
| | - Jurjen Tel
- Laboratory of Immunoengineering, Department Biomedical Engineering, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
- Institute for Complex Molecular Systems, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
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35
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Kolmar L, Autour A, Ma X, Vergier B, Eduati F, Merten CA. Technological and computational advances driving high-throughput oncology. Trends Cell Biol 2022; 32:947-961. [PMID: 35577671 DOI: 10.1016/j.tcb.2022.04.008] [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: 02/08/2022] [Revised: 04/11/2022] [Accepted: 04/20/2022] [Indexed: 01/21/2023]
Abstract
Engineering and computational advances have opened many new avenues in cancer research, particularly when being exploited in interdisciplinary approaches. For example, the combination of microfluidics, novel sequencing technologies, and computational analyses has been crucial to enable single-cell assays, giving a detailed picture of tumor heterogeneity for the very first time. In a similar way, these 'tech' disciplines have been elementary for generating large data sets in multidimensional cancer 'omics' approaches, cell-cell interaction screens, 3D tumor models, and tissue level analyses. In this review we summarize the most important technology and computational developments that have been or will be instrumental for transitioning classical cancer research to a large data-driven, high-throughput, high-content discipline across all biological scales.
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Affiliation(s)
- Leonie Kolmar
- Institute of Bioengineering, School of Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Alexis Autour
- Institute of Bioengineering, School of Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland; European Molecular Biology Laboratory (EMBL), Heidelberg, Germany
| | - Xiaoli Ma
- Institute of Bioengineering, School of Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Blandine Vergier
- Institute of Bioengineering, School of Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Federica Eduati
- Department of Biomedical Engineering, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands; Institute for Complex Molecular Systems, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands.
| | - Christoph A Merten
- Institute of Bioengineering, School of Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
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36
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Zielke C, Gutierrez Ramirez AJ, Voss K, Ryan MS, Gholizadeh A, Rathmell JC, Abbyad P. Droplet Microfluidic Technology for the Early and Label-Free Isolation of Highly-Glycolytic, Activated T-Cells. MICROMACHINES 2022; 13:1442. [PMID: 36144067 PMCID: PMC9503730 DOI: 10.3390/mi13091442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 08/24/2022] [Accepted: 08/25/2022] [Indexed: 06/16/2023]
Abstract
A label-free, fixation-free and passive sorting method is presented to isolate activated T-cells shortly after activation and prior to the display of activation surface markers. It uses a recently developed sorting platform dubbed "Sorting by Interfacial Tension" (SIFT) that sorts droplets based on pH. After polyclonal (anti-CD3/CD28 bead) activation and a brief incubation on chip, droplets containing activated T-cells display a lower pH than those containing naive cells due to increased glycolysis. Under specific surfactant conditions, a change in pH can lead to a concurrent increase in droplet interfacial tension. The isolation of activated T-cells on chip is hence achieved as flattened droplets are displaced as they encounter a micro-fabricated trench oriented diagonally with respect to the direction of flow. This technique leads to an enrichment of activated primary CD4+ T-cells to over 95% from an initial mixed population of naive cells and cells activated for as little as 15 min. Moreover, since the pH change is correlated to successful activation, the technique allows the isolation of T-cells with the earliest activation and highest glycolysis, an important feature for the testing of T-cell activation modulators and to determine regulators and predictors of differentiation outcomes.
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Affiliation(s)
- Claudia Zielke
- Department of Chemistry and Biochemistry, Santa Clara University, Santa Clara, CA 95053, USA
| | | | - Kelsey Voss
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Maya S. Ryan
- Department of Chemistry and Biochemistry, Santa Clara University, Santa Clara, CA 95053, USA
| | - Azam Gholizadeh
- Department of Chemistry and Biochemistry, Santa Clara University, Santa Clara, CA 95053, USA
| | - Jeffrey C. Rathmell
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN 37232, USA
- Vanderbilt Center for Immunobiology, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Paul Abbyad
- Department of Chemistry and Biochemistry, Santa Clara University, Santa Clara, CA 95053, USA
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37
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Ashby JF, Schmidt J, Kc N, Kurum A, Koch C, Harari A, Tang L, Au SH. Microfluidic T Cell Selection by Cellular Avidity. Adv Healthc Mater 2022; 11:e2200169. [PMID: 35657072 DOI: 10.1002/adhm.202200169] [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: 02/02/2022] [Revised: 04/24/2022] [Indexed: 01/24/2023]
Abstract
No T cell receptor (TCR) T cell therapies have obtained clinical approval. The lack of strategies capable of selecting and recovering potent T cell candidates may be a contributor to this. Existing protocols for selecting TCR T cell clones for cell therapies such as peptide multimer methods have provided effective measurements on TCR affinities. However, these methods lack the ability to measure the collective strength of intercellular interactions (i.e., cellular avidity) and markers of T cell activation such as immunological synapse formation. This study describes a novel microfluidic fluid shear stress-based approach to identify and recover highly potent T cell clones based on the cellular avidity between living T cells and tumor cells. This approach is capable of probing approximately up to 10 000 T cell-tumor cell interactions per run and can recover potent T cells with up to 100% purity from mixed populations of T cells within 30 min. Markers of cytotoxicity, activation, and avidity persist when recovered high cellular avidity T cells are subsequently exposed to fresh tumor cells. These results demonstrate how microfluidic probing of cellular avidity may fast track the therapeutic T cell selection process and move the authors closer to precision cancer immunotherapy.
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Affiliation(s)
- Julian F Ashby
- Department of Bioengineering, Imperial College London, London, SW7 2AZ, UK
| | - Julien Schmidt
- Department of Oncology UNIL CHUV, Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, 1066, Switzerland
| | - Neelima Kc
- Department of Bioengineering, Imperial College London, London, SW7 2AZ, UK
| | - Armand Kurum
- Institute of Materials Science and Engineering, École Polytechnique Fédérale de Lausanne, Lausanne, 1015, Switzerland
| | - Caroline Koch
- Department of Bioengineering, Imperial College London, London, SW7 2AZ, UK
| | - Alexandre Harari
- Department of Oncology UNIL CHUV, Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, 1066, Switzerland
| | - Li Tang
- Institute of Materials Science and Engineering, École Polytechnique Fédérale de Lausanne, Lausanne, 1015, Switzerland.,Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, 1015, Switzerland
| | - Sam H Au
- Department of Bioengineering, Imperial College London, London, SW7 2AZ, UK.,Cancer Research UK Convergence Science Centre, London, SW7 2AZ, UK
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38
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Campisi M, Shelton SE, Chen M, Kamm RD, Barbie DA, Knelson EH. Engineered Microphysiological Systems for Testing Effectiveness of Cell-Based Cancer Immunotherapies. Cancers (Basel) 2022; 14:3561. [PMID: 35892819 PMCID: PMC9330888 DOI: 10.3390/cancers14153561] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 07/15/2022] [Accepted: 07/16/2022] [Indexed: 02/06/2023] Open
Abstract
Cell therapies, including adoptive immune cell therapies and genetically engineered chimeric antigen receptor (CAR) T or NK cells, have shown promise in treating hematologic malignancies. Yet, immune cell infiltration and expansion has proven challenging in solid tumors due to immune cell exclusion and exhaustion and the presence of vascular barriers. Testing next-generation immune therapies remains challenging in animals, motivating sophisticated ex vivo models of human tumor biology and prognostic assays to predict treatment response in real-time while comprehensively recapitulating the human tumor immune microenvironment (TIME). This review examines current strategies for testing cell-based cancer immunotherapies using ex vivo microphysiological systems and microfluidic technologies. Insights into the multicellular interactions of the TIME will identify novel therapeutic strategies to help patients whose tumors are refractory or resistant to current immunotherapies. Altogether, these microphysiological systems (MPS) have the capability to predict therapeutic vulnerabilities and biological barriers while studying immune cell infiltration and killing in a more physiologically relevant context, thereby providing important insights into fundamental biologic mechanisms to expand our understanding of and treatments for currently incurable malignancies.
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Affiliation(s)
- Marco Campisi
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02115, USA; (M.C.); (S.E.S.); (M.C.); (D.A.B.)
| | - Sarah E. Shelton
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02115, USA; (M.C.); (S.E.S.); (M.C.); (D.A.B.)
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA;
| | - Minyue Chen
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02115, USA; (M.C.); (S.E.S.); (M.C.); (D.A.B.)
- Department of Immunology, Harvard Medical School, Boston, MA 02115, USA
| | - Roger D. Kamm
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA;
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - David A. Barbie
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02115, USA; (M.C.); (S.E.S.); (M.C.); (D.A.B.)
| | - Erik H. Knelson
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02115, USA; (M.C.); (S.E.S.); (M.C.); (D.A.B.)
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39
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Zhang H, Huang C, Li Y, Gupte R, Samuel R, Dai J, Guzman A, Sabnis R, de Figueiredo P, Han A. FIDELITY: A quality control system for droplet microfluidics. SCIENCE ADVANCES 2022; 8:eabc9108. [PMID: 35857442 PMCID: PMC9269891 DOI: 10.1126/sciadv.abc9108] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 05/25/2022] [Indexed: 05/21/2023]
Abstract
Droplet microfluidic systems have been widely deployed to interrogate biological and chemical systems. The major limitations of these systems are the relatively high error rates from critical droplet manipulation functions. To address these limitations, we describe the development of FIDELITY (Flotation and Interdigitated electrode forces on Droplets to Enable Lasting system IntegriTY), a highly sensitive and accurate size-based droplet bandpass filter that leverages the natural buoyancy of aqueous droplets and highly localized dielectrophoretic force generated by interdigitated electrode arrays. Droplet manipulation accuracies greater than 99% were achieved at a throughput of up to 100 droplets/s and separation of droplets that differed in diameter by only 6 μm was demonstrated. Last, the utility of FIDELITY was demonstrated in a droplet size quality control application and also in a droplet-based in vitro transcription/translation workflow. We anticipate FIDELITY to be integrated into a broad range of droplet microfluidic configurations to achieve exceptional operational accuracy.
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Affiliation(s)
- Han Zhang
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA
| | - Can Huang
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA
| | - Yuwen Li
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA
| | - Rohit Gupte
- Department of Biomedical Engineering, Texas A&M University, College Station, TX 77843, USA
| | - Ryan Samuel
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA
| | - Jing Dai
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA
| | - Adrian Guzman
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA
| | - Rushant Sabnis
- Department of Chemical Engineering, Texas A&M University, College Station, TX 77843, USA
| | - Paul de Figueiredo
- Department of Microbial Pathogenesis and Immunology, Texas A&M Health Science Center, Bryan, TX 77807, USA
- Department of Veterinary Pathobiology, Texas A&M University, College Station, TX 77843, USA
| | - Arum Han
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA
- Department of Biomedical Engineering, Texas A&M University, College Station, TX 77843, USA
- Corresponding author.
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40
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Hattori K, Goda Y, Yamashita M, Yoshioka Y, Kojima R, Ota S. Droplet Array-Based Platform for Parallel Optical Analysis of Dynamic Extracellular Vesicle Secretion from Single Cells. Anal Chem 2022; 94:11209-11215. [PMID: 35797226 DOI: 10.1021/acs.analchem.2c01609] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Extracellular vesicles (EVs) are essential intercellular communication tools, but the regulatory mechanisms governing heterogeneous EV secretion are still unclear due to the lack of methods for precise analysis. Monitoring the dynamics of secretion from individually isolated cells is crucial because in bulk analysis, secretion activity can be perturbed by cell-cell interactions, and a cell population rarely performs secretion in a magnitude- or duration-synchronized manner. Although various microfluidic techniques have been adopted to evaluate the abundance of single-cell-derived EVs, none can track their secretion dynamics continually for extended periods. Here, we have developed a droplet array-based method that allowed us to optically quantify the EV secretion dynamics of >300 single cells every 2 h for 36 h, which covers the cell doubling time of many cell types. The experimental results clearly show the highly heterogeneous nature of single-cell EV secretion and suggest that cell division facilitates EV secretion, showing the usefulness of this platform for discovering EV regulation machinery.
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Affiliation(s)
- Kazuki Hattori
- Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo 153-8904, Japan
| | - Yuki Goda
- Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo 153-8904, Japan
| | - Minato Yamashita
- Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo 153-8904, Japan
| | - Yusuke Yoshioka
- Department of Molecular and Cellular Medicine, Institute of Medical Science, Tokyo Medical University, Tokyo 160-0023, Japan
| | - Ryosuke Kojima
- Graduate School of Medicine, The University of Tokyo, Tokyo 113-0033, Japan.,PRESTO, Japan Science and Technology Agency (JST), Saitama 332-0012, Japan
| | - Sadao Ota
- Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo 153-8904, Japan
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41
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Xu R, Du S, Zhu J, Meng F, Liu B. Neoantigen-targeted TCR-T cell therapy for solid tumors: How far from clinical application. Cancer Lett 2022; 546:215840. [DOI: 10.1016/j.canlet.2022.215840] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 07/09/2022] [Accepted: 07/22/2022] [Indexed: 11/25/2022]
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42
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Banik S, Uchil A, Kalsang T, Chakrabarty S, Ali MA, Srisungsitthisunti P, Mahato KK, Surdo S, Mazumder N. The revolution of PDMS microfluidics in cellular biology. Crit Rev Biotechnol 2022; 43:465-483. [PMID: 35410564 DOI: 10.1080/07388551.2022.2034733] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Microfluidics is revolutionizing the way research on cellular biology has been traditionally conducted. The ability to control the cell physicochemical environment by adjusting flow conditions, while performing cellular analysis at single-cell resolution and high-throughput, has made microfluidics the ideal choice to replace traditional in vitro models. However, such a revolution only truly started with the advent of polydimethylsiloxane (PDMS) as a microfluidic structural material and soft-lithography as a rapid manufacturing technology. Indeed, before the "PDMS age," microfluidic technologies were: costly, time-consuming and, more importantly, accessible only to specialized laboratories and users. The simplicity of molding PDMS in various shapes along with its inherent properties (transparency, biocompatibility, and gas permeability) has spread the applications of innovative microfluidic devices to diverse and important biological fields and clinical studies. This review highlights how PDMS-based microfluidic systems are innovating pre-clinical biological research on cells and organs. These devices were able to cultivate different cell lines, enhance the sensitivity and diagnostic effectiveness of numerous cell-based assays by maintaining consistent chemical gradients, utilizing and detecting the smallest number of analytes while being high-throughput. This review will also assist in identifying the pitfalls in current PDMS-based microfluidic systems to facilitate breakthroughs and advancements in healthcare research.
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Affiliation(s)
- Soumyabrata Banik
- Department of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, India
| | - Ashwini Uchil
- Department of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, India
| | - Tenzin Kalsang
- Department of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, India
| | - Sanjiban Chakrabarty
- Department of Cell and Molecular Biology, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, India
| | - Md Azahar Ali
- Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Pornsak Srisungsitthisunti
- Department of Production Engineering, Faculty of Engineering, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand
| | - Krishna Kishore Mahato
- Department of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, India
| | - Salvatore Surdo
- Department of Nanophysics, Istituto Italiano di Tecnologia, Genoa, Italy
| | - Nirmal Mazumder
- Department of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, India
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43
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Wong KU, Shi J, Li P, Wang H, Jia Y, Deng C, Jang L, Wong AHH. Assessment of chimeric antigen receptor T (CAR-T) cytotoxicity by droplet microfluidics in vitro. Antib Ther 2022; 5:85-99. [PMID: 35441124 PMCID: PMC9014740 DOI: 10.1093/abt/tbac008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 03/08/2022] [Accepted: 03/17/2022] [Indexed: 11/17/2022] Open
Abstract
Chimeric antigen receptor T (CAR-T) cells are cytotoxic T cells engineered to specifically kill cancer cells expressing specific target receptor(s). Prior CAR-T efficacy tests include CAR expression analysis by qPCR or ELISA, in vitro measurement of interferon-γ (IFNγ) or interleukin-2 (IL-2), and xenograft models. However, the in vitro measurements did not reflect CAR-T cytotoxicity, whereas xenograft models are low throughput and costly. Here, we presented a robust in vitro droplet microfluidic assay for CAR-T cytotoxicity assessment. This method not only enabled assessment of CAR-T cytotoxic activity under different fluid viscosity conditions, but also facilitated measurement of CAR-T expansion and dissection of mechanism of action via phenotype analysis in vitro. Furthermore, our data suggested that label-free cytotoxicity analysis is feasible by acquiring data before and after treatment. Hence, this study presented a novel in vitro method for assessment of cellular cytotoxicity that could potentially be applied to any cytotoxicity experiment with varying solvent composition.
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Affiliation(s)
- Kuan Un Wong
- Cancer Centre, Faculty of Health Sciences, University of Macau, Macau S.A.R., China
| | - Jingxuan Shi
- Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, Guangdong 510530, China
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, Guangdong 510530, China
- University of Chinese Academy of Sciences, Shijingshan District, Beijing 100049, China
| | - Peng Li
- Key Laboratory of Regenerative Biology, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, Guangdong 510530, China
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, Guangdong 510530, China
- Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, Guangdong 510005, China
| | - Haitao Wang
- Cancer Centre, Faculty of Health Sciences, University of Macau, Macau S.A.R., China
| | - Yanwei Jia
- Cancer Centre, Faculty of Health Sciences, University of Macau, Macau S.A.R., China
- State Key Laboratory of Analog and Mixed Signal VLSI, University of Macau, Macau S.A.R., China
- Faculty of Science and Technology, University of Macau, Macau S.A.R., China
| | - Chuxia Deng
- Cancer Centre, Faculty of Health Sciences, University of Macau, Macau S.A.R., China
| | - Lianmei Jang
- ARC Excellence Centre for Nanoscale BioPhotonics (CNBP), Department of Molecular Sciences, Macquarie University, Sydney, NSW 2109, Australia
| | - Ada Hang-Heng Wong
- Cancer Centre, Faculty of Health Sciences, University of Macau, Macau S.A.R., China
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44
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Copper-Electroplating-Modified Liquid Metal Microfluidic Electrodes. SENSORS 2022; 22:s22051820. [PMID: 35270966 PMCID: PMC8915017 DOI: 10.3390/s22051820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 02/14/2022] [Accepted: 02/21/2022] [Indexed: 02/01/2023]
Abstract
Here, we report a novel technology for the fabrication of copper-electroplating-modified liquid metal microelectrodes. This technology overcomes the complexity of the traditional fabrication of sidewall solid metal electrodes and successfully fabricates a pair of tiny stable solid-contact microelectrodes on both sidewalls of a microchannel. Meanwhile, this technology also addresses the instability of liquid metal electrodes when directly contacted with sample solutions. The fabrication of this microelectrode depends on controllable microelectroplating of copper onto the gallium electrode by designing a microelectrolyte cell in a microfluidic chip. Using this technology, we successfully fabricate various microelectrodes with different microspacings (from 10 μm to 40 μm), which were effectively used for capacitive sensing, including droplet detection and oil particle counting.
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45
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Abstract
Cell manipulation in droplets has emerged as one of the great successes of microfluidic technologies, with the development of single-cell screening. However, the droplet format has also served to go beyond single-cell studies, namely by considering the interactions between different cells or between cells and their physical or chemical environment. These studies pose specific challenges linked to the need for long-term culture of adherent cells or the diverse types of measurements associated with complex biological phenomena. Here we review the emergence of droplet microfluidic methods for culturing cells and studying their interactions. We begin by characterizing the quantitative aspects that determine the ability to encapsulate cells, transport molecules, and provide sufficient nutrients within the droplets. This is followed by an evaluation of the biological constraints such as the control of the biochemical environment and promoting the anchorage of adherent cells. This first part ends with a description of measurement methods that have been developed. The second part of the manuscript focuses on applications of these technologies for cancer studies, immunology, and stem cells while paying special attention to the biological relevance of the cellular assays and providing guidelines on improving this relevance.
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Affiliation(s)
- Sébastien Sart
- LadHyX, CNRS, Ecole Polytechnique, Institut Polytechnique de Paris, 91120 Palaiseau, France.,Physical Microfluidics and Bioengineering, Institut Pasteur, 25-28 Rue du Dr. Roux, 75015 Paris, France
| | - Gustave Ronteix
- LadHyX, CNRS, Ecole Polytechnique, Institut Polytechnique de Paris, 91120 Palaiseau, France.,Physical Microfluidics and Bioengineering, Institut Pasteur, 25-28 Rue du Dr. Roux, 75015 Paris, France
| | - Shreyansh Jain
- LadHyX, CNRS, Ecole Polytechnique, Institut Polytechnique de Paris, 91120 Palaiseau, France.,Physical Microfluidics and Bioengineering, Institut Pasteur, 25-28 Rue du Dr. Roux, 75015 Paris, France
| | - Gabriel Amselem
- LadHyX, CNRS, Ecole Polytechnique, Institut Polytechnique de Paris, 91120 Palaiseau, France.,Physical Microfluidics and Bioengineering, Institut Pasteur, 25-28 Rue du Dr. Roux, 75015 Paris, France
| | - Charles N Baroud
- LadHyX, CNRS, Ecole Polytechnique, Institut Polytechnique de Paris, 91120 Palaiseau, France.,Physical Microfluidics and Bioengineering, Institut Pasteur, 25-28 Rue du Dr. Roux, 75015 Paris, France
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46
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Wang Z, Ahmed S, Labib M, Wang H, Hu X, Wei J, Yao Y, Moffat J, Sargent EH, Kelley SO. Efficient recovery of potent tumour-infiltrating lymphocytes through quantitative immunomagnetic cell sorting. Nat Biomed Eng 2022; 6:108-117. [PMID: 35087171 DOI: 10.1038/s41551-021-00820-y] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 09/30/2021] [Indexed: 12/14/2022]
Abstract
Adoptive cell therapies require the recovery and expansion of highly potent tumour-infiltrating lymphocytes (TILs). However, TILs in tumours are rare and difficult to isolate efficiently, which hinders the optimization of therapeutic potency and dose. Here we show that a configurable microfluidic device can efficiently recover potent TILs from solid tumours by leveraging specific expression levels of target cell-surface markers. The device, which is sandwiched by permanent magnets, balances magnetic forces and fluidic drag forces to sort cells labelled with magnetic nanoparticles conjugated with antibodies for the target markers. Compared with conventional cell sorting, immunomagnetic cell sorting recovered up to 30-fold higher numbers of TILs, and the higher levels and diversity of the recovered TILs accelerated TIL expansion and enhanced their therapeutic potency. Immunomagnetic cell sorting also allowed us to identify and isolate potent TIL subpopulations, in particular TILs with moderate levels of CD39 (a marker of T-cell reactivity to tumours and T-cell exhaustion), which we found are tumour-specific, self-renewable and essential for the long-term success of adoptive cell therapies.
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Affiliation(s)
- Zongjie Wang
- The Edward S. Rogers Sr Department of Electrical and Computer Engineering, University of Toronto, Toronto, Ontario, Canada.,Institute for Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
| | - Sharif Ahmed
- Department of Pharmaceutical Sciences, Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, Canada
| | - Mahmoud Labib
- Department of Pharmaceutical Sciences, Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, Canada
| | - Hansen Wang
- Department of Pharmaceutical Sciences, Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, Canada
| | - Xiyue Hu
- Department of Pharmaceutical Sciences, Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, Canada
| | - Jiarun Wei
- Department of Molecular Genetics, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Terrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario, Canada
| | - Yuxi Yao
- Department of Molecular Genetics, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Terrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario, Canada
| | - Jason Moffat
- Department of Molecular Genetics, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Terrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario, Canada
| | - Edward H Sargent
- The Edward S. Rogers Sr Department of Electrical and Computer Engineering, University of Toronto, Toronto, Ontario, Canada
| | - Shana O Kelley
- Institute for Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada. .,Department of Pharmaceutical Sciences, Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, Canada. .,Department of Biochemistry, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada. .,Department of Chemistry, Northwestern University, Evanston, IL, USA. .,Department of Biomedical Engineering, Northwestern University, Evanston, IL, USA.
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47
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Rapid video-based deep learning of cognate versus non-cognate T cell-dendritic cell interactions. Sci Rep 2022; 12:559. [PMID: 35017558 PMCID: PMC8752671 DOI: 10.1038/s41598-021-04286-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 12/17/2021] [Indexed: 12/11/2022] Open
Abstract
Identification of cognate interactions between antigen-specific T cells and dendritic cells (DCs) is essential to understanding immunity and tolerance, and for developing therapies for cancer and autoimmune diseases. Conventional techniques for selecting antigen-specific T cells are time-consuming and limited to pre-defined antigenic peptide sequences. Here, we demonstrate the ability to use deep learning to rapidly classify videos of antigen-specific CD8+ T cells. The trained model distinguishes distinct interaction dynamics (in motility and morphology) between cognate and non-cognate T cells and DCs over 20 to 80 min. The model classified high affinity antigen-specific CD8+ T cells from OT-I mice with an area under the curve (AUC) of 0.91, and generalized well to other types of high and low affinity CD8+ T cells. The classification accuracy achieved by the model was consistently higher than simple image analysis techniques, and conventional metrics used to differentiate between cognate and non-cognate T cells, such as speed. Also, we demonstrated that experimental addition of anti-CD40 antibodies improved model prediction. Overall, this method demonstrates the potential of video-based deep learning to rapidly classify cognate T cell-DC interactions, which may also be potentially integrated into high-throughput methods for selecting antigen-specific T cells in the future.
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48
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Liu D, Sun M, Zhang J, Hu R, Fu W, Xuanyuan T, Liu W. Single-cell droplet microfluidics for biomedical applications. Analyst 2022; 147:2294-2316. [DOI: 10.1039/d1an02321g] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
This review focuses on the recent advances in the fundamentals of single-cell droplet microfluidics and its applications in biomedicine, providing insights into design and establishment of single-cell microsystems and their further performance.
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Affiliation(s)
- Dan Liu
- Departments of Biomedical Engineering and Pathology, School of Basic Medical Science, Central South University, Changsha, Hunan 410013, China
| | - Meilin Sun
- Departments of Biomedical Engineering and Pathology, School of Basic Medical Science, Central South University, Changsha, Hunan 410013, China
| | - Jinwei Zhang
- Departments of Biomedical Engineering and Pathology, School of Basic Medical Science, Central South University, Changsha, Hunan 410013, China
| | - Rui Hu
- Departments of Biomedical Engineering and Pathology, School of Basic Medical Science, Central South University, Changsha, Hunan 410013, China
| | - Wenzhu Fu
- Departments of Biomedical Engineering and Pathology, School of Basic Medical Science, Central South University, Changsha, Hunan 410013, China
| | - Tingting Xuanyuan
- Departments of Biomedical Engineering and Pathology, School of Basic Medical Science, Central South University, Changsha, Hunan 410013, China
| | - Wenming Liu
- Departments of Biomedical Engineering and Pathology, School of Basic Medical Science, Central South University, Changsha, Hunan 410013, China
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49
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Abstract
Manipulation of fluid flow is paramount for microfluidic device operation. Conventional microfluidic pumps are often expensive, bulky, complicated, and not amenable in limited resource settings. Here, we introduce a Fully self-sufficient, RobUst, Gravity-Assisted, Low-cost (FRUGAL) microfluidic pump. The pump consists of a syringe, a syringe holder and loading masses. The system is easy to assemble, inexpensive, portable, and electrical power-free. Inside the syringe, the fluid is driven by the pressure from the weight of the loading masses. During operation, the exerted pressure is dynamically controllable and stable for hours. These features are useful for optimization of microfluidics assays and dynamic temporal studies. We demonstrate the application of this system to control the formation of water-in-oil droplet emulsion. Benefitting from its simplicity and versatility, the frugal microfluidic pump will enable global adoption of microfluidic technology in chemistry and biomedical applications, especially in limited resource environments.
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Affiliation(s)
- Apresio K Fajrial
- Paul M. Rady Department of Mechanical Engineering, University of Colorado Boulder, Boulder, CO, 80309, USA.
| | - Adam Vega
- Paul M. Rady Department of Mechanical Engineering, University of Colorado Boulder, Boulder, CO, 80309, USA.
| | - Gazendra Shakya
- Paul M. Rady Department of Mechanical Engineering, University of Colorado Boulder, Boulder, CO, 80309, USA.
| | - Xiaoyun Ding
- Paul M. Rady Department of Mechanical Engineering, University of Colorado Boulder, Boulder, CO, 80309, USA.
- Biomedical Engineering Program, University of Colorado Boulder, Boulder, CO, 80309, USA
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50
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Wang S, Liu Y, Li Y, Lv M, Gao K, He Y, Wei W, Zhu Y, Dong X, Xu X, Li Z, Liu L, Liu Y. High-Throughput Functional Screening of Antigen-Specific T Cells Based on Droplet Microfluidics at a Single-Cell Level. Anal Chem 2021; 94:918-926. [PMID: 34852202 DOI: 10.1021/acs.analchem.1c03678] [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
The lack of an efficient method for the identification of tumor antigen-specific T cell receptors (TCRs) impedes the development of T cell-based cancer immunotherapies. Here, we introduce a droplet-based microfluidic platform for function-based screening and sorting of tumor antigen-specific T cells with high throughput. We built a reporter cell line by co-transducing the TCR library and reporter genes at the downstream of TCR signaling, and reporter cells fluoresced upon functionally binding with antigens. We co-encapsulated reporter cells and antigen-presenting cells in droplets to allow for stimulation on a single-cell level. Functioning reporter cells specific against the antigen were identified in the microfluidic channel based on the fluorescent signals of the droplets, which were immediately sorted out using dielectrophoresis. We validated the reporter system and sorting results using flow cytometry. We then performed single-cell RNA sequencing on the sorted cells to further validate this platform and demonstrate the compatibility with genetic characterizations. Our platform provides a means for precise and efficient T cell immunotherapy, and the droplet-based high-throughput TCR screening method could potentially facilitate immunotherapeutic screening and promote T cell-based anti-tumor therapies.
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Affiliation(s)
- Shiyu Wang
- BGI-Shenzhen, Shenzhen 518083, China.,College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yang Liu
- BGI-Shenzhen, Shenzhen 518083, China
| | - Yijian Li
- BGI-Shenzhen, Shenzhen 518083, China.,College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Menghua Lv
- BGI-Shenzhen, Shenzhen 518083, China.,College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Kai Gao
- BGI-Shenzhen, Shenzhen 518083, China.,College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ying He
- Department of Gynaecological Oncology, Cancer Hospital Chinese Academy of Medical Sciences, Shenzhen Center, Shenzhen 518116, China
| | - Wenbo Wei
- Department of Biomedical Engineering, School of Medicine, Shenzhen University, Shenzhen 518060, China.,The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen 518035, China
| | - Yonggang Zhu
- School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen 518055, China
| | - Xuan Dong
- BGI-Shenzhen, Shenzhen 518083, China
| | - Xun Xu
- BGI-Shenzhen, Shenzhen 518083, China.,Guangdong Provincial Key Laboratory of Genome Read and Write, BGI-Shenzhen, Shenzhen 518120, China
| | - Zida Li
- Department of Biomedical Engineering, School of Medicine, Shenzhen University, Shenzhen 518060, China.,Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Department of Biomedical Engineering, School of Medicine, Shenzhen University, Shenzhen 518060, China
| | - Longqi Liu
- BGI-Shenzhen, Shenzhen 518083, China.,Shenzhen Bay Laboratory, Shenzhen 518000, China
| | - Ya Liu
- BGI-Shenzhen, Shenzhen 518083, China.,Shenzhen Key Laboratory of Single-Cell Omics, BGI-Shenzhen, Shenzhen 518100, China
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