1
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Xiao Q, Wang Y, Fan J, Yi Z, Hong H, Xie X, Huang QA, Fu J, Ouyang J, Zhao X, Wang Z, Zhu Z. A computer vision and residual neural network (ResNet) combined method for automated and accurate yeast replicative aging analysis of high-throughput microfluidic single-cell images. Biosens Bioelectron 2024; 244:115807. [PMID: 37948914 DOI: 10.1016/j.bios.2023.115807] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Revised: 10/17/2023] [Accepted: 10/30/2023] [Indexed: 11/12/2023]
Abstract
With the rapid development of microfluidic platforms in high-throughput single-cell culturing, laborious operation to manipulate massive budding yeast cells (Saccharomyces cerevisiae) in replicative aging studies has been greatly simplified and automated. As a result, large datasets of microscopy images bring challenges to fast and accurately determine yeast replicative lifespan (RLS), which is the most important parameter to study cell aging. Based on our microfluidic diploid yeast long-term culturing (DYLC) chip that features 1100 traps to immobilize single cells and record their proliferation and aging via time-lapse imaging, herein, a dedicated algorithm combined with computer vision and residual neural network (ResNet) was presented to efficiently process tremendous micrographs in a high-throughput and automated manner. The image-processing algorithm includes following pivotal steps: (i) segmenting multi-trap micrographs into time-lapse single-trap sub-images, (ii) labeling 8 yeast budding features and training the 18-layer ResNet, (iii) converting the ResNet predictions in analog values into digital signals, (iv) recognizing cell dynamic events, and (v) determining yeast RLS and budding time interval (BTI) ultimately. The ResNet algorithm achieved high F1 scores (over 92%) demonstrating the effectiveness and accuracy in the recognition of yeast budding events, such as bud appearance, daughter dissection and cell death. Therefore, the results conduct that similar deep learning algorithms could be tailored to analyze high-throughput microscopy images and extract multiple cell behaviors in microfluidic single-cell analysis.
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Affiliation(s)
- Qin Xiao
- Southeast University, School of Integrated Circuits, School of Electronic Science and Engineering, Key Laboratory of MEMS of Ministry of Education, Sipailou 2, Nanjing, 210096, China
| | - Yingying Wang
- Southeast University, School of Integrated Circuits, School of Electronic Science and Engineering, Key Laboratory of MEMS of Ministry of Education, Sipailou 2, Nanjing, 210096, China
| | - Juncheng Fan
- Southeast University, School of Integrated Circuits, School of Electronic Science and Engineering, Key Laboratory of MEMS of Ministry of Education, Sipailou 2, Nanjing, 210096, China
| | - Zhenxiang Yi
- Southeast University, School of Integrated Circuits, School of Electronic Science and Engineering, Key Laboratory of MEMS of Ministry of Education, Sipailou 2, Nanjing, 210096, China
| | - Hua Hong
- Southeast University, School of Integrated Circuits, School of Electronic Science and Engineering, Key Laboratory of MEMS of Ministry of Education, Sipailou 2, Nanjing, 210096, China
| | - Xiao Xie
- Southeast University, School of Integrated Circuits, School of Electronic Science and Engineering, Key Laboratory of MEMS of Ministry of Education, Sipailou 2, Nanjing, 210096, China
| | - Qing-An Huang
- Southeast University, School of Integrated Circuits, School of Electronic Science and Engineering, Key Laboratory of MEMS of Ministry of Education, Sipailou 2, Nanjing, 210096, China
| | - Jiaming Fu
- Nanjing Forestry University, College of Chemical Engineering, Longpan Road 159, Nanjing, 210037, China
| | - Jia Ouyang
- Nanjing Forestry University, College of Chemical Engineering, Longpan Road 159, Nanjing, 210037, China
| | - Xiangwei Zhao
- Southeast University, School of Biological Science and Medical Engineering, State Key Laboratory of Digital Medical Engineering, Sipailou 2, Nanjing, 210096, China
| | - Zixin Wang
- Sun Yat-Sen University, School of Electronics and Information Technology, Waihuan Dong Road 132, Guangzhou, 510006, China.
| | - Zhen Zhu
- Southeast University, School of Integrated Circuits, School of Electronic Science and Engineering, Key Laboratory of MEMS of Ministry of Education, Sipailou 2, Nanjing, 210096, China.
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2
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Briones JC, Espulgar WV, Koyama S, Takamatsu H, Saito M, Tamiya E. A High-Throughput Single-Cell Assay on a Valve-Based Microfluidic Platform Applied to Protein Quantification, Immune Response Monitoring, and Drug Discovery. Methods Mol Biol 2023; 2689:119-142. [PMID: 37430051 DOI: 10.1007/978-1-0716-3323-6_10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/12/2023]
Abstract
The use of microfluidic technology in single-cell assay has shown potential in biomedical applications like protein quantification, immune response monitoring, and drug discovery. Because of the details of information that can be obtained at single-cell resolution, the single-cell assay has been applied to tackle challenging issues such as cancer treatment. Information like the levels of protein expression, cellular heterogeneity, and unique behaviors within subsets are very important in the biomedical field. For a single-cell assay system, a high-throughput platform that can do on-demand media exchange and real-time monitoring is advantageous in single-cell screening and profiling. In this work, a high-throughput valve-based device is presented, its use in single-cell assay, particularly in protein quantification and surface-marker analysis, and its potential application to immune response monitoring and drug discovery are laid down in detail.
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Affiliation(s)
- Jonathan C Briones
- Life and Medical Photonics Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Osaka, Japan
| | - Wilfred V Espulgar
- Department of Physics, College of Science, De La Salle University, Manila, Philippines
| | - Shohei Koyama
- Department of Respiratory Medicine and Clinical Immunology, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Hyota Takamatsu
- Department of Respiratory Medicine and Clinical Immunology, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Masato Saito
- Life and Medical Photonics Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Osaka, Japan
- National Institute of Advanced Industrial Science and Technology, PhotoBIO Open Innovation Laboratory, Osaka, Japan
| | - Eiichi Tamiya
- National Institute of Advanced Industrial Science and Technology, PhotoBIO Open Innovation Laboratory, Osaka, Japan.
- The Institute of Scientific and Industrial Research, Osaka University, Osaka, Japan.
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3
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Richter F, Bindschedler S, Calonne-Salmon M, Declerck S, Junier P, Stanley CE. Fungi-on-a-Chip: microfluidic platforms for single-cell studies on fungi. FEMS Microbiol Rev 2022; 46:6674677. [PMID: 36001464 PMCID: PMC9779915 DOI: 10.1093/femsre/fuac039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 08/11/2022] [Accepted: 08/22/2022] [Indexed: 01/07/2023] Open
Abstract
This review highlights new advances in the emerging field of 'Fungi-on-a-Chip' microfluidics for single-cell studies on fungi and discusses several future frontiers, where we envisage microfluidic technology development to be instrumental in aiding our understanding of fungal biology. Fungi, with their enormous diversity, bear essential roles both in nature and our everyday lives. They inhabit a range of ecosystems, such as soil, where they are involved in organic matter degradation and bioremediation processes. More recently, fungi have been recognized as key components of the microbiome in other eukaryotes, such as humans, where they play a fundamental role not only in human pathogenesis, but also likely as commensals. In the food sector, fungi are used either directly or as fermenting agents and are often key players in the biotechnological industry, where they are responsible for the production of both bulk chemicals and antibiotics. Although the macroscopic fruiting bodies are immediately recognizable by most observers, the structure, function, and interactions of fungi with other microbes at the microscopic scale still remain largely hidden. Herein, we shed light on new advances in the emerging field of Fungi-on-a-Chip microfluidic technologies for single-cell studies on fungi. We discuss the development and application of microfluidic tools in the fields of medicine and biotechnology, as well as in-depth biological studies having significance for ecology and general natural processes. Finally, a future perspective is provided, highlighting new frontiers in which microfluidic technology can benefit this field.
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Affiliation(s)
- Felix Richter
- Department of Bioengineering, Imperial College London, South Kensington Campus, Exhibition Road, London SW7 2AZ, United Kingdom
| | - Saskia Bindschedler
- Laboratory of Microbiology, University of Neuchâtel, Rue Emile-Argand 11, CH-2000 Neuchâtel, Switzerland
| | - Maryline Calonne-Salmon
- Laboratory of Mycology, Université catholique de Louvain, Place Croix du Sud 2, B-1348 Louvain-la-Neuve, Belgium
| | - Stéphane Declerck
- Laboratory of Mycology, Université catholique de Louvain, Place Croix du Sud 2, B-1348 Louvain-la-Neuve, Belgium
| | - Pilar Junier
- Laboratory of Microbiology, University of Neuchâtel, Rue Emile-Argand 11, CH-2000 Neuchâtel, Switzerland
| | - Claire E Stanley
- Corresponding author: Department of Bioengineering, Imperial College London, South Kensington Campus, Exhibition Road, London, SW7 2AZ, United Kingdom. E-mail:
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4
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Anggraini D, Ota N, Shen Y, Tang T, Tanaka Y, Hosokawa Y, Li M, Yalikun Y. Recent advances in microfluidic devices for single-cell cultivation: methods and applications. LAB ON A CHIP 2022; 22:1438-1468. [PMID: 35274649 DOI: 10.1039/d1lc01030a] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Single-cell analysis is essential to improve our understanding of cell functionality from cellular and subcellular aspects for diagnosis and therapy. Single-cell cultivation is one of the most important processes in single-cell analysis, which allows the monitoring of actual information of individual cells and provides sufficient single-cell clones and cell-derived products for further analysis. The microfluidic device is a fast-rising system that offers efficient, effective, and sensitive single-cell cultivation and real-time single-cell analysis conducted either on-chip or off-chip. Here, we introduce the importance of single-cell cultivation from the aspects of cellular and subcellular studies. We highlight the materials and structures utilized in microfluidic devices for single-cell cultivation. We further discuss biological applications utilizing single-cell cultivation-based microfluidics, such as cellular phenotyping, cell-cell interactions, and omics profiling. Finally, present limitations and future prospects of microfluidics for single-cell cultivation are also discussed.
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Affiliation(s)
- Dian Anggraini
- Division of Materials Science, Nara Institute of Science and Technology, Nara 630-0192, Japan.
| | - Nobutoshi Ota
- Center for Biosystems Dynamics Research (BDR), RIKEN, 1-3 Yamadaoka, Suita, Osaka 565-0871, Japan
| | - Yigang Shen
- Center for Biosystems Dynamics Research (BDR), RIKEN, 1-3 Yamadaoka, Suita, Osaka 565-0871, Japan
- College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
| | - Tao Tang
- Division of Materials Science, Nara Institute of Science and Technology, Nara 630-0192, Japan.
| | - Yo Tanaka
- Center for Biosystems Dynamics Research (BDR), RIKEN, 1-3 Yamadaoka, Suita, Osaka 565-0871, Japan
| | - Yoichiroh Hosokawa
- Division of Materials Science, Nara Institute of Science and Technology, Nara 630-0192, Japan.
| | - Ming Li
- School of Engineering, Macquarie University, Sydney 2122, Australia.
| | - Yaxiaer Yalikun
- Division of Materials Science, Nara Institute of Science and Technology, Nara 630-0192, Japan.
- Center for Biosystems Dynamics Research (BDR), RIKEN, 1-3 Yamadaoka, Suita, Osaka 565-0871, Japan
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Van Lent J, Breukers J, Ven K, Ampofo L, Horta S, Pollet F, Imbrechts M, Geukens N, Vanhoorelbeke K, Declerck P, Lammertyn J. Miniaturized single-cell technologies for monoclonal antibody discovery. LAB ON A CHIP 2021; 21:3627-3654. [PMID: 34505611 DOI: 10.1039/d1lc00243k] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Antibodies (Abs) are among the most important class of biologicals, showcasing a high therapeutic and diagnostic value. In the global therapeutic Ab market, fully-human monoclonal Abs (FH-mAbs) are flourishing thanks to their low immunogenicity and high specificity. The rapidly emerging field of single-cell technologies has paved the way to efficiently discover mAbs by facilitating a fast screening of the antigen (Ag)-specificity and functionality of Abs expressed by B cells. This review summarizes the principles and challenges of the four key concepts to discover mAbs using these technologies, being confinement of single cells using either droplet microfluidics or microstructure arrays, identification of the cells of interest, retrieval of those cells and single-cell sequence determination required for mAb production. This review reveals the enormous potential for mix-and-matching of the above-mentioned strategies, which is illustrated by the plethora of established, highly integrated devices. Lastly, an outlook is given on the many opportunities and challenges that still lie ahead to fully exploit miniaturized single-cell technologies for mAb discovery.
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Affiliation(s)
- Julie Van Lent
- Department of Biosystems, Biosensors Group, KU Leuven, Leuven 3001, Belgium.
| | - Jolien Breukers
- Department of Biosystems, Biosensors Group, KU Leuven, Leuven 3001, Belgium.
| | - Karen Ven
- Department of Biosystems, Biosensors Group, KU Leuven, Leuven 3001, Belgium.
| | - Louanne Ampofo
- Department of Biosystems, Biosensors Group, KU Leuven, Leuven 3001, Belgium.
- Laboratory for Therapeutic and Diagnostic Antibodies, KU Leuven, Leuven 3000, Belgium
| | - Sara Horta
- Laboratory for Thrombosis Research, IRF Life Sciences, KU Leuven Campus Kulak Kortrijk, Kortrijk 8500, Belgium
| | - Francesca Pollet
- Department of Biosystems, Biosensors Group, KU Leuven, Leuven 3001, Belgium.
| | - Maya Imbrechts
- Laboratory for Therapeutic and Diagnostic Antibodies, KU Leuven, Leuven 3000, Belgium
- PharmAbs, The KU Leuven Antibody Center, KU Leuven, Leuven 3000, Belgium
| | - Nick Geukens
- PharmAbs, The KU Leuven Antibody Center, KU Leuven, Leuven 3000, Belgium
| | - Karen Vanhoorelbeke
- Laboratory for Thrombosis Research, IRF Life Sciences, KU Leuven Campus Kulak Kortrijk, Kortrijk 8500, Belgium
- PharmAbs, The KU Leuven Antibody Center, KU Leuven, Leuven 3000, Belgium
| | - Paul Declerck
- Laboratory for Therapeutic and Diagnostic Antibodies, KU Leuven, Leuven 3000, Belgium
- PharmAbs, The KU Leuven Antibody Center, KU Leuven, Leuven 3000, Belgium
| | - Jeroen Lammertyn
- Department of Biosystems, Biosensors Group, KU Leuven, Leuven 3001, Belgium.
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6
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Geng Y, Zhu Z, Zhang Z, Xu F, Marchisio MA, Wang Z, Pan D, Zhao X, Huang QA. Design and 3D modeling investigation of a microfluidic electrode array for electrical impedance measurement of single yeast cells. Electrophoresis 2021; 42:1996-2009. [PMID: 33938013 DOI: 10.1002/elps.202100028] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Revised: 04/09/2021] [Accepted: 04/20/2021] [Indexed: 01/22/2023]
Abstract
High-resolution microscopic imaging may cause intensive image processing and potential impact of light irradiation on yeast replicative lifespan (RLS). Electrical impedance spectroscopy (EIS) could be alternatively used to perform high-throughput and label-free yeast RLS assays. Prior to fabricating EIS-integrated microfluidic devices for yeast RLS determination, systematic modeling and theoretical investigation are crucial for device design and optimization. Here, we report three-dimensional (3D) finite-element modeling and simulations of EIS measurement in a microfluidic single yeast in-situ impedance array (SYIIA), which is designed by patterning an electrode matrix underneath a cell-trapping array. SYIIA was instantiated and modeled as a 5 × 5 sensing array comprising 25 units for cell immobilization, culturing, and time-lapse EIS recording. Simulations of yeast growing and budding in a sensing unit demonstrated that EIS signals enable the characterization of cell growth and daughter-cell dissections. In the 5 × 5 sensing array, simulation results indicated that when monitoring a target cell, daughter dissections in its surrounding traps may induce variations of the recorded EIS signals, which could cause mistakes in identifying target daughter-cell dissections. To eliminate the mis-identifications, electrode array pitch was optimized. Therefore, the results could conduct the design and optimization of microfluidic electrode-array-integrated devices for high-throughput and accurate yeast RLS assays.
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Affiliation(s)
- Yangye Geng
- Key Laboratory of MEMS of Ministry of Education, Southeast University, Nanjing, P. R. China
| | - Zhen Zhu
- Key Laboratory of MEMS of Ministry of Education, Southeast University, Nanjing, P. R. China
| | - Zhao Zhang
- Key Laboratory of MEMS of Ministry of Education, Southeast University, Nanjing, P. R. China
| | - Feng Xu
- Key Laboratory of MEMS of Ministry of Education, Southeast University, Nanjing, P. R. China
| | - Mario A Marchisio
- School of Pharmaceutical Science and Technology, Tianjin University, Tianjin, P. R. China
| | - Zixin Wang
- School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou, P. R. China
| | - Dejing Pan
- CAM-SU Genomic Resource Center, Soochow University, Suzhou, P. R. China
| | - Xiangwei Zhao
- State Key Laboratory of Bioelectronics, Southeast University, Nanjing, P. R. China
| | - Qing-An Huang
- Key Laboratory of MEMS of Ministry of Education, Southeast University, Nanjing, P. R. China
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7
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Affiliation(s)
- Keke Hu
- Department of Chemistry and Molecular Biology, University of Gothenburg, Kemivägen 10, 41296 Gothenburg, Sweden
| | - Tho D. K. Nguyen
- Department of Chemistry and Molecular Biology, University of Gothenburg, Kemivägen 10, 41296 Gothenburg, Sweden
| | - Stefania Rabasco
- Department of Chemistry and Molecular Biology, University of Gothenburg, Kemivägen 10, 41296 Gothenburg, Sweden
| | - Pieter E. Oomen
- Department of Chemistry and Molecular Biology, University of Gothenburg, Kemivägen 10, 41296 Gothenburg, Sweden
- ParaMedir B.V., 1e Energieweg 13, 9301 LK Roden, The Netherlands
| | - Andrew G. Ewing
- Department of Chemistry and Molecular Biology, University of Gothenburg, Kemivägen 10, 41296 Gothenburg, Sweden
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8
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Dusny C, Grünberger A. Microfluidic single-cell analysis in biotechnology: from monitoring towards understanding. Curr Opin Biotechnol 2020; 63:26-33. [DOI: 10.1016/j.copbio.2019.11.001] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2019] [Revised: 10/31/2019] [Accepted: 11/04/2019] [Indexed: 01/06/2023]
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9
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Jian X, Guo X, Wang J, Tan ZL, Xing X, Wang L, Zhang C. Microbial microdroplet culture system (MMC): An integrated platform for automated, high‐throughput microbial cultivation and adaptive evolution. Biotechnol Bioeng 2020; 117:1724-1737. [DOI: 10.1002/bit.27327] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Revised: 02/14/2020] [Accepted: 03/08/2020] [Indexed: 12/20/2022]
Affiliation(s)
- Xingjin Jian
- Department of Chemical Engineering, Institute of Biochemical EngineeringTsinghua University Beijing China
- Key Laboratory of Industrial Biocatalysis, Ministry of EducationTsinghua University Beijing China
| | - Xiaojie Guo
- Luoyang TMAXTREE Biotechnology Co., Ltd. Luoyang China
| | - Jia Wang
- Biochemical Engineering Research Group, School of Chemical Engineering and TechnologyXi'an Jiaotong University Xi'an China
| | - Zheng Lin Tan
- Department of Chemical Engineering, Institute of Biochemical EngineeringTsinghua University Beijing China
- Key Laboratory of Industrial Biocatalysis, Ministry of EducationTsinghua University Beijing China
- School of Life Science and TechnologyTokyo Institute of Technology, Midori‐ku Yokohama Kanagawa Prefecture Japan
| | - Xin‐hui Xing
- Department of Chemical Engineering, Institute of Biochemical EngineeringTsinghua University Beijing China
- Key Laboratory of Industrial Biocatalysis, Ministry of EducationTsinghua University Beijing China
- Center for Synthetic & Systems BiologyTsinghua University Beijing China
| | - Liyan Wang
- Luoyang TMAXTREE Biotechnology Co., Ltd. Luoyang China
| | - Chong Zhang
- Department of Chemical Engineering, Institute of Biochemical EngineeringTsinghua University Beijing China
- Key Laboratory of Industrial Biocatalysis, Ministry of EducationTsinghua University Beijing China
- Center for Synthetic & Systems BiologyTsinghua University Beijing China
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10
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Jusková P, Schmid YRF, Stucki A, Schmitt S, Held M, Dittrich PS. "Basicles": Microbial Growth and Production Monitoring in Giant Lipid Vesicles. ACS APPLIED MATERIALS & INTERFACES 2019; 11:34698-34706. [PMID: 31454223 PMCID: PMC7462352 DOI: 10.1021/acsami.9b12169] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Accepted: 08/27/2019] [Indexed: 05/03/2023]
Abstract
We present an optimized protocol to encapsulate bacteria inside giant unilamellar lipid vesicles combined with a microfluidic platform for real-time monitoring of microbial growth and production. The microfluidic device allows us to immobilize the lipid vesicles and record bacterial growth and production using automated microscopy. Moreover, the lipid vesicles retain hydrophilic molecules and therefore can be used to accumulate products of microbial biosynthesis, which we demonstrate here for a riboflavin-producing bacterial strain. We show that stimulation as well as inhibition of bacterial production can be performed through the liposomal membrane simply by passive diffusion of inducing or antibiotic compounds, respectively. The possibility to introduce as well as accumulate compounds in liposomal cultivation compartments represents great advantage over the current state of the art systems, emulsion droplets, and gel beads. Additionally, the encapsulation of bacteria and monitoring of individual lipid vesicles have been accomplished on a single microfluidic device. The presented system paves the way toward highly parallel microbial cultivation and monitoring as required in biotechnology, basic research, or drug discovery.
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Affiliation(s)
- Petra Jusková
- Department
of Biosystems Science and Engineering, Bioanalytics Group, and Department of
Biosystems Science and Engineering, Bioprocess Laboratory, ETH Zürich, Mattenstrasse 26, CH-4058 Basel, Switzerland
| | - Yannick R. F. Schmid
- Department
of Biosystems Science and Engineering, Bioanalytics Group, and Department of
Biosystems Science and Engineering, Bioprocess Laboratory, ETH Zürich, Mattenstrasse 26, CH-4058 Basel, Switzerland
| | - Ariane Stucki
- Department
of Biosystems Science and Engineering, Bioanalytics Group, and Department of
Biosystems Science and Engineering, Bioprocess Laboratory, ETH Zürich, Mattenstrasse 26, CH-4058 Basel, Switzerland
| | - Steven Schmitt
- Department
of Biosystems Science and Engineering, Bioanalytics Group, and Department of
Biosystems Science and Engineering, Bioprocess Laboratory, ETH Zürich, Mattenstrasse 26, CH-4058 Basel, Switzerland
| | - Martin Held
- Department
of Biosystems Science and Engineering, Bioanalytics Group, and Department of
Biosystems Science and Engineering, Bioprocess Laboratory, ETH Zürich, Mattenstrasse 26, CH-4058 Basel, Switzerland
| | - Petra S. Dittrich
- Department
of Biosystems Science and Engineering, Bioanalytics Group, and Department of
Biosystems Science and Engineering, Bioprocess Laboratory, ETH Zürich, Mattenstrasse 26, CH-4058 Basel, Switzerland
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11
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Liu Y, Chen X, Zhang Y, Liu J. Advancing single-cell proteomics and metabolomics with microfluidic technologies. Analyst 2019; 144:846-858. [PMID: 30351310 DOI: 10.1039/c8an01503a] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Recent advances in single-cell analysis have unraveled substantial heterogeneity among seemingly identical cells at genomic and transcriptomic levels. These discoveries have urged scientists to develop new tools that are capable of investigating single cells from a broader set of "omics". Proteomics and metabolomics, for instance, are of particular interest as they are closely correlated with a dynamic picture of cellular behaviors and phenotypic identities. The development of such tools requires highly efficient isolation and processing of a large number of individual cells, where techniques such as microfluidics are extremely useful. Here, we review the recent advances in single-cell proteomics and metabolomics, with a focus on microfluidics-based platforms. We highlight a vast array of emerging microfluidic formats for single-cell isolation and manipulation, and how the state-of-the-art analytical tools are coupled with such platforms for proteomic and metabolomic profiling.
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Affiliation(s)
- Yifan Liu
- Jiangsu Key Laboratory for Carbon-based Functional Materials and Devices, Institute of Functional Nano and Soft Materials (FUNSOM), Soochow University, Suzhou, Jiangsu Province 215123, China.
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12
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Sun Y, Cai B, Wei X, Wang Z, Rao L, Meng QF, Liao Q, Liu W, Guo S, Zhao X. A valve-based microfluidic device for on-chip single cell treatments. Electrophoresis 2018; 40:961-968. [PMID: 30155963 DOI: 10.1002/elps.201800213] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2018] [Revised: 08/19/2018] [Accepted: 08/22/2018] [Indexed: 11/08/2022]
Abstract
Assays toward single-cell analysis have attracted the attention in biological and biomedical researches to reveal cellular mechanisms as well as heterogeneity. Yet nowadays microfluidic devices for single-cell analysis have several drawbacks: some would cause cell damage due to the hydraulic forces directly acting on cells, while others could not implement biological assays since they could not immobilize cells while manipulating the reagents at the same time. In this work, we presented a two-layer pneumatic valve-based platform to implement cell immobilization and treatment on-chip simultaneously, and cells after treatment could be collected non-destructively for further analysis. Target cells could be encapsulated in sodium alginate droplets which solidified into hydrogel when reacted with Ca2+ . The size of hydrogel beads could be precisely controlled by modulating flow rates of continuous/disperse phases. While regulating fluid resistance between the main channel and passages by the integrated pneumatic valves, on-chip capture and release of hydrogel beads was implemented. As a proof of concept for on-chip single-cell treatments, we showed cellular live/dead staining based on our devices. This method would have potential in single cell manipulation for biochemical cellular assays.
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Affiliation(s)
- Yue Sun
- School of Physics and Technology, Wuhan University, Wuhan, P. R. China
| | - Bo Cai
- Research Center for Tissue Engineering and Regenerative Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P. R. China
| | - Xiaoyun Wei
- School of Physics and Technology, Wuhan University, Wuhan, P. R. China
| | - Zixiang Wang
- School of Physics and Technology, Wuhan University, Wuhan, P. R. China
| | - Lang Rao
- School of Physics and Technology, Wuhan University, Wuhan, P. R. China
| | - Qian-Fang Meng
- School of Physics and Technology, Wuhan University, Wuhan, P. R. China
| | - Qingquan Liao
- School of Physics and Technology, Wuhan University, Wuhan, P. R. China
| | - Wei Liu
- School of Physics and Technology, Wuhan University, Wuhan, P. R. China
| | - Shishang Guo
- School of Physics and Technology, Wuhan University, Wuhan, P. R. China
| | - Xingzhong Zhao
- School of Physics and Technology, Wuhan University, Wuhan, P. R. China
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