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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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2
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Macaraniag C, Luan Q, Zhou J, Papautsky I. Microfluidic techniques for isolation, formation, and characterization of circulating tumor cells and clusters. APL Bioeng 2022; 6:031501. [PMID: 35856010 PMCID: PMC9288269 DOI: 10.1063/5.0093806] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 06/28/2022] [Indexed: 12/13/2022] Open
Abstract
Circulating tumor cell (CTC) clusters that are shed from the primary tumor into the bloodstream are associated with a poor prognosis, elevated metastatic potential, higher proliferation rate, and distinct molecular features compared to single CTCs. Studying CTC clusters may give us information on the differences in the genetic profiles, somatic mutations, and epigenetic changes in circulating cells compared to the primary tumor and metastatic sites. Microfluidic systems offer the means of studying CTC clusters through the ability to efficiently isolate these rare cells from the whole blood of patients in a liquid biopsy. Microfluidics can also be used to develop in vitro models of CTC clusters and make possible their characterization and analysis. Ultimately, microfluidic systems can offer the means to gather insight on the complexities of the metastatic process, the biology of cancer, and the potential for developing novel or personalized therapies. In this review, we aim to discuss the advantages and challenges of the existing microfluidic systems for working with CTC clusters. We hope that an improved understanding of the role microfluidics can play in isolation, formation, and characterization of CTC clusters, which can lead to increased sophistication of microfluidic platforms in cancer research.
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Affiliation(s)
- Celine Macaraniag
- Department of Biomedical Engineering, University of Illinois Chicago, Chicago, Illinois 60607, USA
| | - Qiyue Luan
- Department of Biomedical Engineering, University of Illinois Chicago, Chicago, Illinois 60607, USA
| | - Jian Zhou
- Department of Biomedical Engineering, University of Illinois Chicago, Chicago, Illinois 60607, USA
| | - Ian Papautsky
- Department of Biomedical Engineering, University of Illinois Chicago, Chicago, Illinois 60607, USA
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3
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Wang X, Wang Z, Yu C, Ge Z, Yang W. Advances in precise single-cell capture for analysis and biological applications. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2022; 14:3047-3063. [PMID: 35946358 DOI: 10.1039/d2ay00625a] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Cells are the basic structural and functional units of living organisms. However, conventional cell analysis only averages millions of cell populations, and some important information is lost. It is essential to quantitatively characterize the physiology and pathology of single-cell activities. Precise single-cell capture is an extremely challenging task during cell sample preparation. In this review, we summarize the category of technologies to capture single cells precisely with a focus on the latest development in the last five years. Each technology has its own set of benefits and specific challenges, which provide opportunities for researchers in different fields. Accordingly, we introduce the applications of captured single cells in cancer diagnosis, analysis of metabolism and secretion, and disease treatment. Finally, some perspectives are provided on the current development trends, future research directions, and challenges of single-cell capture.
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Affiliation(s)
- Xiaowen Wang
- School of Electromechanical and Automotive Engineering, Yantai University, Yantai 264005, China.
| | - Zhen Wang
- School of Electromechanical and Automotive Engineering, Yantai University, Yantai 264005, China.
| | - Chang Yu
- College of Computer Science, Chongqing University, Chongqing 400000, China
| | - Zhixing Ge
- State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China.
| | - Wenguang Yang
- School of Electromechanical and Automotive Engineering, Yantai University, Yantai 264005, China.
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4
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Pang L, Ding J, Liu XX, Kou Z, Guo L, Xu X, Fan SK. Microfluidics-Based Single-Cell Research for Intercellular Interaction. Front Cell Dev Biol 2021; 9:680307. [PMID: 34458252 PMCID: PMC8397490 DOI: 10.3389/fcell.2021.680307] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2021] [Accepted: 07/20/2021] [Indexed: 12/21/2022] Open
Abstract
Intercellular interaction between cell-cell and cell-ECM is critical to numerous biology and medical studies, such as stem cell differentiation, immunotherapy and tissue engineering. Traditional methods employed for delving into intercellular interaction are limited by expensive equipment and sophisticated procedures. Microfluidics technique is considered as one of the powerful measures capable of precisely capturing and manipulating cells and achieving low reagent consumption and high throughput with decidedly integrated functional components. Over the past few years, microfluidics-based systems for intercellular interaction study at a single-cell level have become frequently adopted. This review focuses on microfluidic single-cell studies for intercellular interaction in a 2D or 3D environment with a variety of cell manipulating techniques and applications. The challenges to be overcome are highlighted.
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Affiliation(s)
- Long Pang
- School of Basic Medical Science, The Shaanxi Key Laboratory of Brain Disorders, Xi’an Medical University, Xi’an, China
- Xi’an Key Laboratory of Pathogenic Microorganism and Tumor Immunity, Xi’an Medical University, Xi’an, China
| | - Jing Ding
- Department of Mechanical and Nuclear Engineering, Kansas State University, Manhattan, KS, United States
| | - Xi-Xian Liu
- Key Laboratory of Thermo-Fluid Science and Engineering of MOE, School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an, China
| | - Zhixuan Kou
- School of Basic Medical Science, The Shaanxi Key Laboratory of Brain Disorders, Xi’an Medical University, Xi’an, China
- Xi’an Key Laboratory of Pathogenic Microorganism and Tumor Immunity, Xi’an Medical University, Xi’an, China
| | - Lulu Guo
- School of Basic Medical Science, The Shaanxi Key Laboratory of Brain Disorders, Xi’an Medical University, Xi’an, China
- Xi’an Key Laboratory of Pathogenic Microorganism and Tumor Immunity, Xi’an Medical University, Xi’an, China
| | - Xi Xu
- School of Basic Medical Science, The Shaanxi Key Laboratory of Brain Disorders, Xi’an Medical University, Xi’an, China
- Xi’an Key Laboratory of Pathogenic Microorganism and Tumor Immunity, Xi’an Medical University, Xi’an, China
| | - Shih-Kang Fan
- Department of Mechanical and Nuclear Engineering, Kansas State University, Manhattan, KS, United States
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5
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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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6
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Dai B, Yin C, Wu J, Li W, Zheng L, Lin F, Han X, Fu Y, Zhang D, Zhuang S. A flux-adaptable pump-free microfluidics-based self-contained platform for multiplex cancer biomarker detection. LAB ON A CHIP 2021; 21:143-153. [PMID: 33185235 DOI: 10.1039/d0lc00944j] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/15/2023]
Abstract
Microfluidics drives technological advancement in point-of-care (POC) bioanalytical diagnostics towards portability, fast response and low cost. In most microfluidic bioanalytical applications, flowing antigen/antibody reacts with immobilized antibody/antigen at a constant flux; it is difficult to reach a compromise to simultaneously realize sufficient time for the antigen-antibody interaction and short time for the entire assay. Here, we present a pump-free microfluidic chip, in which flow is self-initialized by capillary pumping and continued by imbibition of a filter paper. Microfluidic units in teardrop shape ensure that flow passes through the reaction areas at a reduced flux to facilitate the association between antigen and antibody and speeds up after the reaction areas. By spotting different antibodies into the reaction area, four types of biomarkers can be measured simultaneously in one microfluidic chip. Moreover, a small-sized instrument was developed for chemiluminescence detection and signal analysis. The system was validated by testing four biomarkers of colorectal cancer using plasma samples from patients. The assay took about 20 minutes. The limit of detection is 0.89 ng mL-1, 1.72 ng mL-1, 3.62 U mL-1 and 1.05 U mL-1 for the assays of carcinoembryonic antigen, alpha-fetoprotein, carbohydrate antigen 125 and carbohydrate antigen 19-9, respectively. This flux-adaptable and self-contained microfluidic platform is expected to be useful in various POC disease-monitoring applications.
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Affiliation(s)
- Bo Dai
- Engineering Research Center of Optical Instrument and System, The Ministry of Education, Shanghai Key Laboratory of Modern Optical System, University of Shanghai for Science and Technology, Shanghai, 200093, China.
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7
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Fatsis-Kavalopoulos N, Roemhild R, Tang PC, Kreuger J, Andersson DI. CombiANT: Antibiotic interaction testing made easy. PLoS Biol 2020; 18:e3000856. [PMID: 32941420 PMCID: PMC7524002 DOI: 10.1371/journal.pbio.3000856] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Revised: 09/29/2020] [Accepted: 08/20/2020] [Indexed: 12/23/2022] Open
Abstract
Antibiotic combination therapies are important for the efficient treatment of many types of infections, including those caused by antibiotic-resistant pathogens. Combination treatment strategies are typically used under the assumption that synergies are conserved across species and strains, even though recent results show that the combined treatment effect is determined by specific drug–strain interactions that can vary extensively and unpredictably, both between and within bacterial species. To address this problem, we present a new method in which antibiotic synergy is rapidly quantified on a case-by-case basis, allowing for improved combination therapy. The novel CombiANT methodology consists of a 3D-printed agar plate insert that produces defined diffusion landscapes of 3 antibiotics, permitting synergy quantification between all 3 antibiotic pairs with a single test. Automated image analysis yields fractional inhibitory concentration indices (FICis) with high accuracy and precision. A technical validation with 3 major pathogens, Escherichia coli, Pseudomonas aeruginosa, and Staphylococcus aureus, showed equivalent performance to checkerboard methodology, with the advantage of strongly reduced assay complexity and costs for CombiANT. A synergy screening of 10 antibiotic combinations for 12 E. coli urinary tract infection (UTI) clinical isolates illustrates the need for refined combination treatment strategies. For example, combinations of trimethoprim (TMP) + nitrofurantoin (NIT) and TMP + mecillinam (MEC) showed synergy, but only for certain individual isolates, whereas MEC + NIT combinations showed antagonistic interactions across all tested strains. These data suggest that the CombiANT methodology could allow personalized clinical synergy testing and large-scale screening. We anticipate that CombiANT will greatly facilitate clinical and basic research of antibiotic synergy. Existing methods for identifying efficient combinations of antibiotics are time-consuming and costly, restricting their use in clinics and research. This study describes the novel CombiANT methodology, which uses defined diffusion landscapes of three antibiotics to permit rapid and low-cost synergy quantification between all antibiotic pairs.
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Affiliation(s)
| | - Roderich Roemhild
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
| | - Po-Cheng Tang
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
- Department of Medical Cell Biology, Uppsala University, Uppsala, Sweden
| | - Johan Kreuger
- Department of Medical Cell Biology, Uppsala University, Uppsala, Sweden
| | - Dan I. Andersson
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
- * E-mail:
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8
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Xu X, Wang J, Wu L, Guo J, Song Y, Tian T, Wang W, Zhu Z, Yang C. Microfluidic Single-Cell Omics Analysis. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2020; 16:e1903905. [PMID: 31544338 DOI: 10.1002/smll.201903905] [Citation(s) in RCA: 70] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2019] [Revised: 08/26/2019] [Indexed: 05/27/2023]
Abstract
The commonly existing cellular heterogeneity plays a critical role in biological processes such as embryonic development, cell differentiation, and disease progress. Single-cell omics-based heterogeneous studies have great significance for identifying different cell populations, discovering new cell types, revealing informative cell features, and uncovering significant interrelationships between cells. Recently, microfluidics has evolved to be a powerful technology for single-cell omics analysis due to its merits of throughput, sensitivity, and accuracy. Herein, the recent advances of microfluidic single-cell omics analysis, including different microfluidic platform designs, lysis strategies, and omics analysis techniques, are reviewed. Representative applications of microfluidic single-cell omics analysis in complex biological studies are then summarized. Finally, a few perspectives on the future challenges and development trends of microfluidic-assisted single-cell omics analysis are discussed.
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Affiliation(s)
- Xing Xu
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, The Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
| | - Junxia Wang
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, The Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
| | - Lingling Wu
- Institute of Molecular Medicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China
| | - Jingjing Guo
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, The Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
| | - Yanling Song
- Institute of Molecular Medicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China
| | - Tian Tian
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, The Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
| | - Wei Wang
- Institute of Molecular Medicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China
| | - Zhi Zhu
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, The Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
| | - Chaoyong Yang
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, The Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
- Institute of Molecular Medicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China
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9
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Zhang Y, Ouyang M, Ray A, Liu T, Kong J, Bai B, Kim D, Guziak A, Luo Y, Feizi A, Tsai K, Duan Z, Liu X, Kim D, Cheung C, Yalcin S, Ceylan Koydemir H, Garner OB, Di Carlo D, Ozcan A. Computational cytometer based on magnetically modulated coherent imaging and deep learning. LIGHT, SCIENCE & APPLICATIONS 2019; 8:91. [PMID: 31645935 PMCID: PMC6804677 DOI: 10.1038/s41377-019-0203-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2019] [Revised: 09/05/2019] [Accepted: 09/12/2019] [Indexed: 05/08/2023]
Abstract
Detecting rare cells within blood has numerous applications in disease diagnostics. Existing rare cell detection techniques are typically hindered by their high cost and low throughput. Here, we present a computational cytometer based on magnetically modulated lensless speckle imaging, which introduces oscillatory motion to the magnetic-bead-conjugated rare cells of interest through a periodic magnetic force and uses lensless time-resolved holographic speckle imaging to rapidly detect the target cells in three dimensions (3D). In addition to using cell-specific antibodies to magnetically label target cells, detection specificity is further enhanced through a deep-learning-based classifier that is based on a densely connected pseudo-3D convolutional neural network (P3D CNN), which automatically detects rare cells of interest based on their spatio-temporal features under a controlled magnetic force. To demonstrate the performance of this technique, we built a high-throughput, compact and cost-effective prototype for detecting MCF7 cancer cells spiked in whole blood samples. Through serial dilution experiments, we quantified the limit of detection (LoD) as 10 cells per millilitre of whole blood, which could be further improved through multiplexing parallel imaging channels within the same instrument. This compact, cost-effective and high-throughput computational cytometer can potentially be used for rare cell detection and quantification in bodily fluids for a variety of biomedical applications.
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Affiliation(s)
- Yibo Zhang
- Electrical and Computer Engineering Department, University of California, Los Angeles, CA 90095 USA
- Department of Bioengineering, University of California, Los Angeles, CA 90095 USA
- California NanoSystems Institute, University of California, Los Angeles, CA 90095 USA
| | - Mengxing Ouyang
- Department of Bioengineering, University of California, Los Angeles, CA 90095 USA
| | - Aniruddha Ray
- Electrical and Computer Engineering Department, University of California, Los Angeles, CA 90095 USA
- Department of Bioengineering, University of California, Los Angeles, CA 90095 USA
- California NanoSystems Institute, University of California, Los Angeles, CA 90095 USA
- Department of Physics and Astronomy, University of Toledo, Toledo, OH 43606 USA
| | - Tairan Liu
- Electrical and Computer Engineering Department, University of California, Los Angeles, CA 90095 USA
- Department of Bioengineering, University of California, Los Angeles, CA 90095 USA
- California NanoSystems Institute, University of California, Los Angeles, CA 90095 USA
| | - Janay Kong
- Department of Bioengineering, University of California, Los Angeles, CA 90095 USA
| | - Bijie Bai
- Electrical and Computer Engineering Department, University of California, Los Angeles, CA 90095 USA
- Department of Bioengineering, University of California, Los Angeles, CA 90095 USA
- California NanoSystems Institute, University of California, Los Angeles, CA 90095 USA
| | - Donghyuk Kim
- Department of Bioengineering, University of California, Los Angeles, CA 90095 USA
| | - Alexander Guziak
- Department of Physics and Astronomy, University of California, Los Angeles, CA 90095 USA
| | - Yi Luo
- Electrical and Computer Engineering Department, University of California, Los Angeles, CA 90095 USA
- Department of Bioengineering, University of California, Los Angeles, CA 90095 USA
- California NanoSystems Institute, University of California, Los Angeles, CA 90095 USA
| | - Alborz Feizi
- Electrical and Computer Engineering Department, University of California, Los Angeles, CA 90095 USA
- Department of Bioengineering, University of California, Los Angeles, CA 90095 USA
- California NanoSystems Institute, University of California, Los Angeles, CA 90095 USA
- Yale School of Medicine, New Haven, CT 06510 USA
| | - Katherine Tsai
- Department of Biochemistry, University of California, Los Angeles, CA 90095 USA
| | - Zhuoran Duan
- Electrical and Computer Engineering Department, University of California, Los Angeles, CA 90095 USA
| | - Xuewei Liu
- Electrical and Computer Engineering Department, University of California, Los Angeles, CA 90095 USA
| | - Danny Kim
- Department of Bioengineering, University of California, Los Angeles, CA 90095 USA
| | - Chloe Cheung
- Department of Bioengineering, University of California, Los Angeles, CA 90095 USA
| | - Sener Yalcin
- Electrical and Computer Engineering Department, University of California, Los Angeles, CA 90095 USA
| | - Hatice Ceylan Koydemir
- Electrical and Computer Engineering Department, University of California, Los Angeles, CA 90095 USA
- Department of Bioengineering, University of California, Los Angeles, CA 90095 USA
- California NanoSystems Institute, University of California, Los Angeles, CA 90095 USA
| | - Omai B. Garner
- Department of Pathology and Laboratory Medicine, University of California, Los Angeles, CA 90095 USA
| | - Dino Di Carlo
- Department of Bioengineering, University of California, Los Angeles, CA 90095 USA
- California NanoSystems Institute, University of California, Los Angeles, CA 90095 USA
- Department of Mechanical and Aerospace Engineering, University of California, Los Angeles, CA 90095 USA
- Jonsson Comprehensive Cancer Center, University of California, Los Angeles, CA 90095 USA
| | - Aydogan Ozcan
- Electrical and Computer Engineering Department, University of California, Los Angeles, CA 90095 USA
- Department of Bioengineering, University of California, Los Angeles, CA 90095 USA
- California NanoSystems Institute, University of California, Los Angeles, CA 90095 USA
- Department of Surgery, David Geffen School of Medicine, University of California, Los Angeles, CA 90095 USA
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10
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Ahl D, Eriksson O, Sedin J, Seignez C, Schwan E, Kreuger J, Christoffersson G, Phillipson M. Turning Up the Heat: Local Temperature Control During in vivo Imaging of Immune Cells. Front Immunol 2019; 10:2036. [PMID: 31507619 PMCID: PMC6718468 DOI: 10.3389/fimmu.2019.02036] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2019] [Accepted: 08/12/2019] [Indexed: 01/21/2023] Open
Abstract
Intravital imaging is an invaluable tool for studying the expanding range of immune cell functions. Only in vivo can the complex and dynamic behavior of leukocytes and their interactions with their natural microenvironment be observed and quantified. While the capabilities of high-speed, high-resolution confocal and multiphoton microscopes are well-documented and steadily improving, other crucial hardware required for intravital imaging is often developed in-house and less commonly published in detail. In this report, we describe a low-cost, multipurpose, and tissue-stabilizing in vivo imaging platform that enables sensing and regulation of local tissue temperature. The effect of tissue temperature on local blood flow and leukocyte migration is demonstrated in muscle and skin. Two different models of vacuum windows are described in this report, however, the design of the vacuum window can easily be adapted to fit different organs and tissues.
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Affiliation(s)
- David Ahl
- Department of Medical Cell Biology, Uppsala University, Uppsala, Sweden
| | - Olle Eriksson
- Department of Medical Cell Biology, Uppsala University, Uppsala, Sweden
| | - John Sedin
- Department of Medical Cell Biology, Uppsala University, Uppsala, Sweden
| | - Cédric Seignez
- Department of Medical Cell Biology, Uppsala University, Uppsala, Sweden
| | - Emil Schwan
- Department of Medical Cell Biology, Uppsala University, Uppsala, Sweden
| | - Johan Kreuger
- Department of Medical Cell Biology, Uppsala University, Uppsala, Sweden
| | | | - Mia Phillipson
- Department of Medical Cell Biology, Uppsala University, Uppsala, Sweden
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11
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Hernández Vera R, O'Callaghan P, Fatsis-Kavalopoulos N, Kreuger J. Modular microfluidic systems cast from 3D-printed molds for imaging leukocyte adherence to differentially treated endothelial cultures. Sci Rep 2019; 9:11321. [PMID: 31383888 PMCID: PMC6683170 DOI: 10.1038/s41598-019-47475-z] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2019] [Accepted: 07/17/2019] [Indexed: 12/14/2022] Open
Abstract
Microfluidic systems are very useful for in vitro studies of interactions between blood cells and vascular endothelial cells under flow, and several commercial solutions exist. However, the availability of customizable, user-designed devices is largely restricted to researchers with expertise in photolithography and access to clean room facilities. Here we describe a strategy for producing tailor-made modular microfluidic systems, cast in PDMS from 3D-printed molds, to facilitate studies of leukocyte adherence to endothelial cells. A dual-chamber barrier module was optimized for culturing two endothelial cell populations, separated by a 250 μm wide dividing wall, on a glass slide. In proof-of-principle experiments one endothelial population was activated by TNFα, while the other served as an internal control. The barrier module was thereafter replaced with a microfluidic flow module, enclosing both endothelial populations in a common channel. A suspension of fluorescently-labeled leukocytes was then perfused through the flow module and leukocyte interactions with control and TNFα-treated endothelial populations were monitored in the same field of view. Time-lapse microscopy analysis confirmed the preferential attachment of leukocytes to the TNFα-activated endothelial cells. We conclude that the functionality of these modular microfluidic systems makes it possible to seed and differentially activate adherent cell types, and conduct controlled side-by-side analysis of their capacity to interact with cells in suspension under flow. Furthermore, we outline a number of practical considerations and solutions associated with connecting and switching between the microfluidic modules, and the advantages of simultaneously and symmetrically analyzing control and experimental conditions in such a microfluidic system.
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Affiliation(s)
| | - Paul O'Callaghan
- Department of Medical Cell Biology, Uppsala University, Uppsala, Sweden
| | - Nikos Fatsis-Kavalopoulos
- Department of Medical Cell Biology, Uppsala University, Uppsala, Sweden
- Gradientech AB, Uppsala Science Park, Uppsala, Sweden
| | - Johan Kreuger
- Department of Medical Cell Biology, Uppsala University, Uppsala, Sweden.
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