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Dortaj H, Amani AM, Tayebi L, Azarpira N, Ghasemi Toudeshkchouei M, Hassanpour-Dehnavi A, Karami N, Abbasi M, Najafian-Najafabadi A, Zarei Behjani Z, Vaez A. Droplet-based microfluidics: an efficient high-throughput portable system for cell encapsulation. J Microencapsul 2024; 41:479-501. [PMID: 39077800 DOI: 10.1080/02652048.2024.2382744] [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: 12/01/2023] [Accepted: 07/17/2024] [Indexed: 07/31/2024]
Abstract
One of the goals of tissue engineering and regenerative medicine is restoring primary living tissue function by manufacturing a 3D microenvironment. One of the main challenges is protecting implanted non-autologous cells or tissues from the host immune system. Cell encapsulation has emerged as a promising technique for this purpose. It involves entrapping cells in biocompatible and semi-permeable microcarriers made from natural or synthetic polymers that regulate the release of cellular secretions. In recent years, droplet-based microfluidic systems have emerged as powerful tools for cell encapsulation in tissue engineering and regenerative medicine. These systems offer precise control over droplet size, composition, and functionality, allowing for creating of microenvironments that closely mimic native tissue. Droplet-based microfluidic systems have extensive applications in biotechnology, medical diagnosis, and drug discovery. This review summarises the recent developments in droplet-based microfluidic systems and cell encapsulation techniques, as well as their applications, advantages, and challenges in biology and medicine. The integration of these technologies has the potential to revolutionise tissue engineering and regenerative medicine by providing a precise and controlled microenvironment for cell growth and differentiation. By overcoming the immune system's challenges and enabling the release of cellular secretions, these technologies hold great promise for the future of regenerative medicine.
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Affiliation(s)
- Hengameh Dortaj
- Department of Tissue Engineering and Applied Cell Sciences, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Ali Mohammad Amani
- Department of Medical Nanotechnology, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Lobat Tayebi
- Marquette University School of Dentistry, Milwaukee, WI, USA
| | - Negar Azarpira
- Transplant Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | | | - Ashraf Hassanpour-Dehnavi
- Tissue Engineering Lab, Department of Anatomical Sciences, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Neda Karami
- Diagnostic Laboratory Sciences and Technology Research Center, School of Paramedical Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Milad Abbasi
- Department of Medical Nanotechnology, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Atefeh Najafian-Najafabadi
- Department of Tissue Engineering and Applied Cell Sciences, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Zeinab Zarei Behjani
- Department of Tissue Engineering and Applied Cell Sciences, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Ahmad Vaez
- Department of Tissue Engineering and Applied Cell Sciences, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran
- Biotechnology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
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Shao F, Li H, Hsieh K, Zhang P, Li S, Wang TH. Automated and miniaturized screening of antibiotic combinations via robotic-printed combinatorial droplet platform. Acta Pharm Sin B 2024; 14:1801-1813. [PMID: 38572105 PMCID: PMC10985126 DOI: 10.1016/j.apsb.2023.11.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 11/22/2023] [Accepted: 11/24/2023] [Indexed: 04/05/2024] Open
Abstract
Antimicrobial resistance (AMR) has become a global health crisis in need of novel solutions. To this end, antibiotic combination therapies, which combine multiple antibiotics for treatment, have attracted significant attention as a potential approach for combating AMR. To facilitate advances in antibiotic combination therapies, most notably in investigating antibiotic interactions and identifying synergistic antibiotic combinations however, there remains a need for automated high-throughput platforms that can create and examine antibiotic combinations on-demand, at scale, and with minimal reagent consumption. To address these challenges, we have developed a Robotic-Printed Combinatorial Droplet (RoboDrop) platform by integrating a programmable droplet microfluidic device that generates antibiotic combinations in nanoliter droplets in automation, a robotic arm that arranges the droplets in an array, and a camera that images the array of thousands of droplets in parallel. We further implement a resazurin-based bacterial viability assay to accelerate our antibiotic combination testing. As a demonstration, we use RoboDrop to corroborate two pairs of antibiotics with known interactions and subsequently identify a new synergistic combination of cefsulodin, penicillin, and oxacillin against a model E. coli strain. We therefore envision RoboDrop becoming a useful tool to efficiently identify new synergistic antibiotic combinations toward combating AMR.
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Affiliation(s)
- Fangchi Shao
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Hui Li
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Kuangwen Hsieh
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Pengfei Zhang
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Sixuan Li
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Tza-Huei Wang
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
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Yu Z, Jin J, Chen S, Shui L, Chen H, Shi L, Zhu Y. Smart Droplet Microfluidic System for Single-Cell Selective Lysis and Real-Time Sorting Based on Microinjection and Image Recognition. Anal Chem 2023; 95:12875-12883. [PMID: 37581609 DOI: 10.1021/acs.analchem.3c02182] [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] [Indexed: 08/16/2023]
Abstract
Single-cell analysis has important implications for understanding the specificity of cells. To analyze the specificity of rare cells in complex blood and biopsy samples, selective lysis of target single cells is pivotal but difficult. Microfluidics, particularly droplet microfluidics, has emerged as a promising tool for single-cell analysis. In this paper, we present a smart droplet microfluidic system that allows for single-cell selective lysis and real-time sorting, aided by the techniques of microinjection and image recognition. A custom program evolved from Python is proposed for recognizing target droplets and single cells, which also coordinates the operation of various parts in a whole microfluidic system. We have systematically investigated the effects of voltage and injection pressure applied to the oil-water interface on droplet microinjection. An efficient and selective droplet injection scheme with image feedback has been demonstrated, with an efficiency increased dramatically from 2.5% to about 100%. Furthermore, we have proven that the cell lysis solution can be selectively injected into target single-cell droplets. Then these droplets are shifted into the sorting area, with an efficiency for single K562 cells reaching up to 73%. The system function is finally explored by introducing complex cell samples, namely, K562 cells and HUVECs, with a success rate of 75.2% in treating K562 cells as targets. This system enables automated single-cell selective lysis without the need for manual handling and sheds new light on the cooperation with other detection techniques for a broad range of single-cell analysis.
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Affiliation(s)
- Zhihang Yu
- Center for Microflows and Nanoflows, School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen, Shenzhen 518055, China
| | - Jing Jin
- Center for Microflows and Nanoflows, School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen, Shenzhen 518055, China
| | - Siyuan Chen
- Center for Microflows and Nanoflows, School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen, Shenzhen 518055, China
| | - Lingling Shui
- Joint International Laboratory of Optofluidic Technology and System, National Center for International Research on Green Optoelectronics, School of Information and Optoelectronic Science and Engineering, South China Normal University, Guangzhou 510006, China
| | - Huaying Chen
- Center for Microflows and Nanoflows, School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen, Shenzhen 518055, China
| | - Liuyong Shi
- Mechanical and Electrical Engineering College, Hainan University, Haikou 570228, China
| | - Yonggang Zhu
- Center for Microflows and Nanoflows, School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen, Shenzhen 518055, China
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Curtin K, Fike BJ, Binkley B, Godary T, Li P. Recent Advances in Digital Biosensing Technology. BIOSENSORS 2022; 12:bios12090673. [PMID: 36140058 PMCID: PMC9496261 DOI: 10.3390/bios12090673] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Revised: 08/16/2022] [Accepted: 08/17/2022] [Indexed: 11/27/2022]
Abstract
Digital biosensing assays demonstrate remarkable advantages over conventional biosensing systems because of their ability to achieve single-molecule detection and absolute quantification. Unlike traditional low-abundance biomarking screening, digital-based biosensing systems reduce sample volumes significantly to the fL-nL level, which vastly reduces overall reagent consumption, improves reaction time and throughput, and enables high sensitivity and single target detection. This review presents the current technology for compartmentalizing reactions and their applications in detecting proteins and nucleic acids. We also analyze existing challenges and future opportunities associated with digital biosensing and research opportunities for developing integrated digital biosensing systems.
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Affiliation(s)
- Kathrine Curtin
- Department of Mechanical and Aerospace Engineering, West Virginia University, Morgantown, WV 26506, USA
| | - Bethany J. Fike
- C. Eugene Bennett Department of Chemistry, West Virginia University, Morgantown, WV 26506, USA
| | - Brandi Binkley
- C. Eugene Bennett Department of Chemistry, West Virginia University, Morgantown, WV 26506, USA
| | - Toktam Godary
- C. Eugene Bennett Department of Chemistry, West Virginia University, Morgantown, WV 26506, USA
| | - Peng Li
- C. Eugene Bennett Department of Chemistry, West Virginia University, Morgantown, WV 26506, USA
- Correspondence:
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Hassani-Gangaraj M, Shamloo A. Developing an Off-the-Shelf Microfluidic Droplet Generation Device for Cell Encapsulation. Ind Eng Chem Res 2022. [DOI: 10.1021/acs.iecr.2c01301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Mojtaba Hassani-Gangaraj
- Nano-Bioengineering Lab, Mechanical Engineering Department, Sharif University of Technology, Tehran 11365-8639, Iran
- School of Mechanical Engineering, Sharif University of Technology, Azadi Avenue, Tehran 11365-8639, Iran
| | - Amir Shamloo
- Nano-Bioengineering Lab, Mechanical Engineering Department, Sharif University of Technology, Tehran 11365-8639, Iran
- School of Mechanical Engineering, Sharif University of Technology, Azadi Avenue, Tehran 11365-8639, Iran
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Zhang Y, Zhao Y, Cole T, Zheng J, Bayinqiaoge, Guo J, Tang SY. Microfluidic flow cytometry for blood-based biomarker analysis. Analyst 2022; 147:2895-2917. [PMID: 35611964 DOI: 10.1039/d2an00283c] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Flow cytometry has proven its capability for rapid and quantitative analysis of individual cells and the separation of targeted biological samples from others. The emerging microfluidics technology makes it possible to develop portable microfluidic diagnostic devices for point-of-care testing (POCT) applications. Microfluidic flow cytometry (MFCM), where flow cytometry and microfluidics are combined to achieve similar or even superior functionalities on microfluidic chips, provides a powerful single-cell characterisation and sorting tool for various biological samples. In recent years, researchers have made great progress in the development of the MFCM including focusing, detecting, and sorting subsystems, and its unique capabilities have been demonstrated in various biological applications. Moreover, liquid biopsy using blood can provide various physiological and pathological information. Thus, biomarkers from blood are regarded as meaningful circulating transporters of signal molecules or particles and have great potential to be used as non (or minimally)-invasive diagnostic tools. In this review, we summarise the recent progress of the key subsystems for MFCM and its achievements in blood-based biomarker analysis. Finally, foresight is offered to highlight the research challenges faced by MFCM in expanding into blood-based POCT applications, potentially yielding commercialisation opportunities.
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Affiliation(s)
- Yuxin Zhang
- Department of Electronic, Electrical and Systems Engineering, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
| | - Ying Zhao
- National Chengdu Centre of Safety Evaluation of Drugs, West China Hospital of Sichuan University, Chengdu, China
| | - Tim Cole
- Department of Electronic, Electrical and Systems Engineering, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
| | - Jiahao Zheng
- Department of Electronic, Electrical and Systems Engineering, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
| | - Bayinqiaoge
- Department of Electronic, Electrical and Systems Engineering, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
| | - Jinhong Guo
- The M.O.E. Key Laboratory of Laboratory Medical Diagnostics, The College of Laboratory Medicine, Chongqing Medical University, #1 Yixueyuan Road, Yuzhong District, Chongqing, 400016, China.
| | - Shi-Yang Tang
- Department of Electronic, Electrical and Systems Engineering, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
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8
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Kao YT, Calabrese S, Borst N, Lehnert M, Lai YK, Schlenker F, Juelg P, Zengerle R, Garstecki P, von Stetten F. Microfluidic One-Pot Digital Droplet FISH Using LNA/DNA Molecular Beacons for Bacteria Detection and Absolute Quantification. BIOSENSORS 2022; 12:bios12040237. [PMID: 35448297 PMCID: PMC9032532 DOI: 10.3390/bios12040237] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/05/2022] [Revised: 04/06/2022] [Accepted: 04/10/2022] [Indexed: 02/06/2023]
Abstract
We demonstrate detection and quantification of bacterial load with a novel microfluidic one-pot wash-free fluorescence in situ hybridization (FISH) assay in droplets. The method offers minimal manual workload by only requiring mixing of the sample with reagents and loading it into a microfluidic cartridge. By centrifugal microfluidic step emulsification, our method partitioned the sample into 210 pL (73 µm in diameter) droplets for bacterial encapsulation followed by in situ permeabilization, hybridization, and signal detection. Employing locked nucleic acid (LNA)/DNA molecular beacons (LNA/DNA MBs) and NaCl-urea based hybridization buffer, the assay was characterized with Escherichia coli, Klebsiella pneumonia, and Proteus mirabilis. The assay performed with single-cell sensitivity, a 4-log dynamic range from a lower limit of quantification (LLOQ) at ~3 × 103 bacteria/mL to an upper limit of quantification (ULOQ) at ~3 × 107 bacteria/mL, anda linearity R2 = 0.976. The total time-to-results for detection and quantification was around 1.5 hours.
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Affiliation(s)
- Yu-Ting Kao
- Laboratory for MEMS Applications, IMTEK-Department of Microsystems Engineering, University of Freiburg, Georges-Koehler-Allee 103, 79110 Freiburg, Germany; (Y.-T.K.); (N.B.); (Y.-K.L.); (R.Z.)
- Institute of Physical Chemistry, Polish Academy of Sciences, Kasprzaka 44/52, 01-224 Warsaw, Poland;
| | - Silvia Calabrese
- Hahn-Schickard, Georges-Koehler-Allee 103, 79110 Freiburg, Germany; (S.C.); (M.L.); (F.S.); (P.J.)
| | - Nadine Borst
- Laboratory for MEMS Applications, IMTEK-Department of Microsystems Engineering, University of Freiburg, Georges-Koehler-Allee 103, 79110 Freiburg, Germany; (Y.-T.K.); (N.B.); (Y.-K.L.); (R.Z.)
- Hahn-Schickard, Georges-Koehler-Allee 103, 79110 Freiburg, Germany; (S.C.); (M.L.); (F.S.); (P.J.)
| | - Michael Lehnert
- Hahn-Schickard, Georges-Koehler-Allee 103, 79110 Freiburg, Germany; (S.C.); (M.L.); (F.S.); (P.J.)
| | - Yu-Kai Lai
- Laboratory for MEMS Applications, IMTEK-Department of Microsystems Engineering, University of Freiburg, Georges-Koehler-Allee 103, 79110 Freiburg, Germany; (Y.-T.K.); (N.B.); (Y.-K.L.); (R.Z.)
- Institute of Physical Chemistry, Polish Academy of Sciences, Kasprzaka 44/52, 01-224 Warsaw, Poland;
- Hahn-Schickard, Georges-Koehler-Allee 103, 79110 Freiburg, Germany; (S.C.); (M.L.); (F.S.); (P.J.)
| | - Franziska Schlenker
- Hahn-Schickard, Georges-Koehler-Allee 103, 79110 Freiburg, Germany; (S.C.); (M.L.); (F.S.); (P.J.)
| | - Peter Juelg
- Hahn-Schickard, Georges-Koehler-Allee 103, 79110 Freiburg, Germany; (S.C.); (M.L.); (F.S.); (P.J.)
| | - Roland Zengerle
- Laboratory for MEMS Applications, IMTEK-Department of Microsystems Engineering, University of Freiburg, Georges-Koehler-Allee 103, 79110 Freiburg, Germany; (Y.-T.K.); (N.B.); (Y.-K.L.); (R.Z.)
- Hahn-Schickard, Georges-Koehler-Allee 103, 79110 Freiburg, Germany; (S.C.); (M.L.); (F.S.); (P.J.)
| | - Piotr Garstecki
- Institute of Physical Chemistry, Polish Academy of Sciences, Kasprzaka 44/52, 01-224 Warsaw, Poland;
| | - Felix von Stetten
- Laboratory for MEMS Applications, IMTEK-Department of Microsystems Engineering, University of Freiburg, Georges-Koehler-Allee 103, 79110 Freiburg, Germany; (Y.-T.K.); (N.B.); (Y.-K.L.); (R.Z.)
- Hahn-Schickard, Georges-Koehler-Allee 103, 79110 Freiburg, Germany; (S.C.); (M.L.); (F.S.); (P.J.)
- Correspondence: ; Tel.: +49-761-203-73243
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Zeng W, Yang S, Liu Y, Yang T, Tong Z, Shan X, Fu H. Precise monodisperse droplet generation by pressure-driven microfluidic flows. Chem Eng Sci 2022. [DOI: 10.1016/j.ces.2021.117206] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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10
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Maurya R, Gohil N, Bhattacharjee G, Alzahrani KJ, Ramakrishna S, Singh V. Microfluidics device for drug discovery, screening and delivery. PROGRESS IN MOLECULAR BIOLOGY AND TRANSLATIONAL SCIENCE 2022; 187:335-346. [PMID: 35094780 DOI: 10.1016/bs.pmbts.2021.07.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Microfluidics and lab-on-chip are two progressive technologies widely used for drug discovery, screening and delivery. It has been designed in a way to act as a platform for sample preparations, culturing, incubation and screening through multi-channels. These devices require a small amount of reagent in about micro- to nanolitre volume. Microfluidics has the capacity to perform operations in a programmable manner and is easy to fine tune the size, shape and composition of drugs by changing flow rate and precise manipulations. Microfluidics platform comes with the advantage of mixing fluid in droplet reactors. Microfluidics is used in the field of chemistry, biomedical, biology and nanotechnology due to its high-throughput performance in various assays. It is potent enough to be used in microreactors for synthesis of particles and encapsulation of many biological entities for biological and drug delivery applications. Microfluidics therefore has the scope to be uplifted from basic to advanced diagnostic and therapeutic applications.
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Affiliation(s)
- Rupesh Maurya
- Department of Biosciences, School of Science, Indrashil University, Rajpur, Mehsana, Gujarat, India
| | - Nisarg Gohil
- Department of Biosciences, School of Science, Indrashil University, Rajpur, Mehsana, Gujarat, India
| | - Gargi Bhattacharjee
- Department of Biosciences, School of Science, Indrashil University, Rajpur, Mehsana, Gujarat, India
| | - Khalid J Alzahrani
- Department of Clinical Laboratories Sciences, College of Applied Medical Sciences, Taif University, Taif, Saudi Arabia
| | - Suresh Ramakrishna
- Graduate School of Biomedical Science and Engineering, Hanyang University, Seoul, South Korea; College of Medicine, Hanyang University, Seoul, South Korea
| | - Vijai Singh
- Department of Biosciences, School of Science, Indrashil University, Rajpur, Mehsana, Gujarat, India.
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Hsieh K, Mach KE, Zhang P, Liao JC, Wang TH. Combating Antimicrobial Resistance via Single-Cell Diagnostic Technologies Powered by Droplet Microfluidics. Acc Chem Res 2022; 55:123-133. [PMID: 34898173 PMCID: PMC10023138 DOI: 10.1021/acs.accounts.1c00462] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Antimicrobial resistance is a global threat that if left unchecked could lead to 10 million annual mortalities by 2050. One factor contributing to the rise of multi-drug-resistant (MDR) pathogens is the reliance on traditional culture-based pathogen identification (ID) and antimicrobial susceptibility testing (AST) that typically takes several days. This delay of objective pathogen ID and AST information to inform clinical decision making results in clinicians treating patients empirically often using first-line, broad-spectrum antibiotics, contributing to the misuse/overuse of antibiotics. To combat the rise in MDR pathogens, there is a critical demand for rapid ID and AST technologies. Among the advances in ID and AST technologies in the past decade, single-cell diagnostic technologies powered by droplet microfluidics offer great promise due to their potential for high-sensitivity detection and rapid turnaround time. Our laboratory has been at the forefront of developing such technologies and applying them to diagnosing urinary tract infections (UTIs), one of the most common infections and a frequent reason for the prescription of antimicrobials. For pathogen ID, we first demonstrated the highly sensitive, amplification-free detection of single bacterial cells by confining them in picoliter-scale droplets and detection with fluorogenic peptide nucleic acid (PNA) probes that target their 16S rRNA (rRNA), a well-characterized marker for phylogenic classification. We subsequently improved the PNA probe design and enhanced detection sensitivity. For single-cell AST, we first employed a growth indicator dye and engineered an integrated device that allows us to detect growth from single bacterial cells under antibiotic exposure within 1 h, equivalent to two to three bacterial replications. To expand beyond testing a single antibiotic condition per device, a common limitation for droplet microfluidics, we developed an integrated programmable droplet microfluidic device for scalable single-cell AST. Using the scalable single-cell AST platform, we demonstrated the generation of up to 32 droplet groups in a single device with custom antibiotic titers and the capacity to scale up single-cell AST, and providing reliable pathogen categories beyond a binary call embodies a critical advance. Finally, we developed an integrated ID and AST platform. To this end, we developed a PNA probe panel that can identify nearly 90% of uropathogens and showed the quantitative detection of 16S rRNA from single bacterial cells in droplet-enabled AST after as little as 10 min of antibiotic exposure. This platform achieved both ID and AST from minimally processed urine samples in 30 min, representing one of the fastest turnaround times to date. In addition to tracing the development of our technologies, we compare them with contemporary research advances and offer our perspectives for future development, with the vision that single-cell ID and AST technologies powered by droplet microfluidics can indeed become a useful diagnostic tool for combating antimicrobial resistance.
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Affiliation(s)
| | - Kathleen E Mach
- Department of Urology, Stanford University School of Medicine, Stanford, California 94305, United States
| | | | - Joseph C Liao
- Department of Urology, Stanford University School of Medicine, Stanford, California 94305, United States
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12
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Monodisperse droplet formation for both low and high capillary numbers in a T-junction microdroplet generator. Chem Eng Sci 2021. [DOI: 10.1016/j.ces.2021.116799] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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13
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Ou Y, Cao S, Zhang J, Dong W, Yang Z, Yu Z. Droplet microfluidics on analysis of pathogenic microbes for wastewater-based epidemiology. Trends Analyt Chem 2021; 143:116333. [PMID: 34720276 PMCID: PMC8547957 DOI: 10.1016/j.trac.2021.116333] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Infectious diseases caused by pathogenic microbes have posed a major health issue for the public, such as the ongoing COVID-19 global pandemic. In recent years, wastewater-based epidemiology (WBE) is emerging as an effective and unbiased method for monitoring public health. Despite its increasing importance, the advancement of WBE requires more competent and streamlined analytical platforms. Herein we discuss the interactions between WBE and droplet microfluidics, focusing on the analysis of pathogens in droplets, which is hard to be tackled by traditional analytical tools. We highlight research works from three aspects, namely, quantitation of pathogen biomarkers in droplets, single-cell analysis in droplets, and living cell biosensors in droplets, as well as providing future perspectives on the synergy between WBE and droplet microfluidics.
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Affiliation(s)
- Yangteng Ou
- State Key Laboratory of Materials-Oriented Chemical Engineering, College of Chemical Engineering, Nanjing Tech University, 30 Puzhu South Road, Nanjing, 211816, PR China
- Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, CB2 1EW, UK
| | - Shixiang Cao
- State Key Laboratory of Materials-Oriented Chemical Engineering, Nanjing Tech University, 30 Puzhu South Road, Nanjing, 211816, PR China
| | - Jing Zhang
- State Key Laboratory of Materials-Oriented Chemical Engineering, College of Chemical Engineering, Nanjing Tech University, 30 Puzhu South Road, Nanjing, 211816, PR China
| | - Weiliang Dong
- State Key Laboratory of Materials-Oriented Chemical Engineering, Nanjing Tech University, 30 Puzhu South Road, Nanjing, 211816, PR China
| | - Zhugen Yang
- School of Water, Energy and Environment, Cranfield University, Cranfield, MK43 0AL, UK
| | - Ziyi Yu
- State Key Laboratory of Materials-Oriented Chemical Engineering, College of Chemical Engineering, Nanjing Tech University, 30 Puzhu South Road, Nanjing, 211816, PR China
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Zhang P, Kaushik AM, Mach KE, Hsieh K, Liao JC, Wang TH. Facile syringe filter-enabled bacteria separation, enrichment, and buffer exchange for clinical isolation-free digital detection and characterization of bacterial pathogens in urine. Analyst 2021; 146:2475-2483. [PMID: 33899069 PMCID: PMC10697054 DOI: 10.1039/d1an00039j] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
The development of accelerated methods for pathogen identification (ID) and antimicrobial susceptibility testing (AST) for infectious diseases is necessary to facilitate evidence-based antibiotic therapy and reduce clinical overreliance on broad-spectrum antibiotics. Towards this end, droplet-based microfluidics has unlocked remarkably rapid diagnostic assays with single-cell and single-molecule resolution. Yet, droplet platforms invariably rely on testing purified bacterial samples that have been clinically isolated after lengthy (>16 h) plating. While plating-based clinical isolation is important for enriching and separating out bacteria from background in clinical samples and also facilitating buffer exchange, it creates a diagnostic bottleneck that ultimately precludes droplet-based methods from achieving significantly accelerated times-to-result. To alleviate this bottleneck, we have developed facile syringe filter-enabled strategies for bacterial separation, enrichment, and buffer exchange from urine samples. By selecting appropriately sized filter membranes, we separated bacterial cells from background particulates in urine samples and achieved up to 91% bacterial recovery after such 1-step filtration. When interfaced with droplet-based detection of bacterial cells, 1-step filtration improved the limit of detection for bacterial ID and quantification by over an order of magnitude. We also developed a facile buffer exchange strategy to prepare bacteria in urine samples for droplet-based AST that achieved up to 10-fold bacterial enrichment during buffer exchange. Our filtration strategies, can be easily integrated into droplet workflows, enable clinical isolation-free sample-to-answer ID and AST, and significantly accelerate the turnaround of standard infectious disease diagnostic workflows.
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Affiliation(s)
- Pengfei Zhang
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
| | - Aniruddha M Kaushik
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Kathleen E Mach
- Department of Urology, Stanford University School of Medicine, Stanford, CA, USA
| | - Kuangwen Hsieh
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Joseph C Liao
- Department of Urology, Stanford University School of Medicine, Stanford, CA, USA
| | - Tza-Huei Wang
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA. and Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA
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15
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Kaushik AM, Hsieh K, Mach KE, Lewis S, Puleo CM, Carroll KC, Liao JC, Wang T. Droplet-Based Single-Cell Measurements of 16S rRNA Enable Integrated Bacteria Identification and Pheno-Molecular Antimicrobial Susceptibility Testing from Clinical Samples in 30 min. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2021; 8:2003419. [PMID: 33747737 PMCID: PMC7967084 DOI: 10.1002/advs.202003419] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Revised: 11/13/2020] [Indexed: 05/06/2023]
Abstract
Empiric broad-spectrum antimicrobial treatments of urinary tract infections (UTIs) have contributed to widespread antimicrobial resistance. Clinical adoption of evidence-based treatments necessitates rapid diagnostic methods for pathogen identification (ID) and antimicrobial susceptibility testing (AST) with minimal sample preparation. In response, a microfluidic droplet-based platform is developed for achieving both ID and AST from urine samples within 30 min. In this platform, fluorogenic hybridization probes are utilized to detect 16S rRNA from single bacterial cells encapsulated in picoliter droplets, enabling molecular identification of uropathogenic bacteria directly from urine in as little as 16 min. Moreover, in-droplet single-bacterial measurements of 16S rRNA provide a surrogate for AST, shortening the exposure time to 10 min for gentamicin and ciprofloxacin. A fully integrated device and screening workflow were developed to test urine specimens for one of seven unique diagnostic outcomes including the presence/absence of Gram-negative bacteria, molecular ID of the bacteriaas Escherichia coli, an Enterobacterales, or other organism, and assessment of bacterial susceptibility to ciprofloxacin. In a 50-specimen clinical comparison study, the platform demonstrates excellent performance compared to clinical standard methods (areas-under-curves, AUCs >0.95), within a small fraction of the turnaround time, highlighting its clinical utility.
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Affiliation(s)
| | - Kuangwen Hsieh
- Department of Mechanical EngineeringJohns Hopkins UniversityBaltimoreMD21218USA
| | - Kathleen E. Mach
- Department of UrologyStanford University School of MedicineStanfordCA94305USA
| | - Shawna Lewis
- Division of Medical MicrobiologyDepartment of PathologyJohns Hopkins University School of MedicineBaltimoreMD21287USA
| | | | - Karen C. Carroll
- Division of Medical MicrobiologyDepartment of PathologyJohns Hopkins University School of MedicineBaltimoreMD21287USA
| | - Joseph C. Liao
- Department of UrologyStanford University School of MedicineStanfordCA94305USA
| | - Tza‐Huei Wang
- Department of Mechanical EngineeringJohns Hopkins UniversityBaltimoreMD21218USA
- Department of Biomedical EngineeringJohns Hopkins UniversityBaltimoreMD21287USA
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16
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Zhang Y, Zhang P, Chen L, Kaushik A, Hu K, Wang TH. ddRFC: A scalable multiplexed droplet digital nucleic acid amplification test platform. Biosens Bioelectron 2020; 167:112499. [PMID: 32846271 PMCID: PMC7534973 DOI: 10.1016/j.bios.2020.112499] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2020] [Revised: 08/03/2020] [Accepted: 08/04/2020] [Indexed: 01/24/2023]
Abstract
Digital nucleic acid amplification tests (digital NAATs) have emerged as a popular tool for nucleic acid detection due to their high sensitivity and specificity. Most current digital NAAT platforms, however, are limited to a "one-color-one-target" approach wherein each target is encoded with a specific fluorescently-labeled probe for single-plex fluorometric detection. This approach is difficult to multiplex due to spectral overlap between any additional fluorophores, and multiplexability of digital NAATs has therefore been limited. As a means to scale multiplexability, we have developed a multiplexed digital NAAT platform, termed Droplet Digital Ratiometric Fluorescence Coding (ddRFC), via a padlock probe-based nucleic acid detection assay which encodes each nucleic acid target with a unique combination of 2 fluorophores. We detect this encoded two-color fluorescence signature of each target by performing digital amplification in microfluidic droplets. To demonstrate the utility of our platform, we have synthesized 6 distinct padlock probes, each rendering a unique two-color fluorescence signature to a nucleic acid target representing a clinically important sexually transmitted infection (STI). We proceed to demonstrate broad-based, two-plex, four-plex, and six-plex detection of the STI targets with single-molecule resolution. Our design offers a cost-effective approach to scale up multiplexability by simply tuning the number of molecular beacon binding sites on the padlock probe without redesigning amplification primers or fluorescent molecular beacons. With further development, our platform has the potential to enable highly multiplexed detection of nucleic acid targets, with potentially unrestricted multiplexability, and serve as a diagnostic tool for many more diseases in the future.
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Affiliation(s)
- Ye Zhang
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Pengfei Zhang
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Liben Chen
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Aniruddha Kaushik
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Katherine Hu
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Tza-Huei Wang
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA; Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA; Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, MD, 21218, USA.
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17
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Isozaki A, Nakagawa Y, Loo MH, Shibata Y, Tanaka N, Setyaningrum DL, Park JW, Shirasaki Y, Mikami H, Huang D, Tsoi H, Riche CT, Ota T, Miwa H, Kanda Y, Ito T, Yamada K, Iwata O, Suzuki K, Ohnuki S, Ohya Y, Kato Y, Hasunuma T, Matsusaka S, Yamagishi M, Yazawa M, Uemura S, Nagasawa K, Watarai H, Di Carlo D, Goda K. Sequentially addressable dielectrophoretic array for high-throughput sorting of large-volume biological compartments. SCIENCE ADVANCES 2020; 6:eaba6712. [PMID: 32524002 PMCID: PMC7259936 DOI: 10.1126/sciadv.aba6712] [Citation(s) in RCA: 49] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Accepted: 03/25/2020] [Indexed: 05/27/2023]
Abstract
Droplet microfluidics has become a powerful tool in precision medicine, green biotechnology, and cell therapy for single-cell analysis and selection by virtue of its ability to effectively confine cells. However, there remains a fundamental trade-off between droplet volume and sorting throughput, limiting the advantages of droplet microfluidics to small droplets (<10 pl) that are incompatible with long-term maintenance and growth of most cells. We present a sequentially addressable dielectrophoretic array (SADA) sorter to overcome this problem. The SADA sorter uses an on-chip array of electrodes activated and deactivated in a sequence synchronized to the speed and position of a passing target droplet to deliver an accumulated dielectrophoretic force and gently pull it in the direction of sorting in a high-speed flow. We use it to demonstrate large-droplet sorting with ~20-fold higher throughputs than conventional techniques and apply it to long-term single-cell analysis of Saccharomyces cerevisiae based on their growth rate.
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Affiliation(s)
- A. Isozaki
- Department of Chemistry, Graduate School of Science, University of Tokyo, East Chemistry Building, Room 213, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
- Kanagawa Institute of Industrial Science and Technology, 3-2-1 Sakado, Takatsu-ku, Kawasaki-shi, Kanagawa 213-0012, Japan
| | - Y. Nakagawa
- Department of Chemistry, Graduate School of Science, University of Tokyo, East Chemistry Building, Room 213, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - M. H. Loo
- Department of Chemistry, Graduate School of Science, University of Tokyo, East Chemistry Building, Room 213, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - Y. Shibata
- Department of Chemistry, Graduate School of Science, University of Tokyo, East Chemistry Building, Room 213, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - N. Tanaka
- Department of Chemistry, Graduate School of Science, University of Tokyo, East Chemistry Building, Room 213, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - D. L. Setyaningrum
- Department of Chemistry, Graduate School of Science, University of Tokyo, East Chemistry Building, Room 213, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - J.-W. Park
- Department of Chemistry, Graduate School of Science, University of Tokyo, East Chemistry Building, Room 213, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - Y. Shirasaki
- Department of Biological Sciences, Graduate School of Science, University of Tokyo, Faculty of Science Building 1 (East), Room 575, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - H. Mikami
- Department of Chemistry, Graduate School of Science, University of Tokyo, East Chemistry Building, Room 213, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - D. Huang
- Department of Chemistry, Graduate School of Science, University of Tokyo, East Chemistry Building, Room 213, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - H. Tsoi
- Department of Chemistry, Graduate School of Science, University of Tokyo, East Chemistry Building, Room 213, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - C. T. Riche
- Department of Bioengineering, Samueli School of Engineering, University of California, Los Angeles, 420 Westwood Plaza, 5121E Engineering V, Los Angeles, CA 90095, USA
| | - T. Ota
- Department of Chemistry, Graduate School of Science, University of Tokyo, East Chemistry Building, Room 213, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - H. Miwa
- Department of Chemistry, Graduate School of Science, University of Tokyo, East Chemistry Building, Room 213, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - Y. Kanda
- Department of Chemistry, Graduate School of Science, University of Tokyo, East Chemistry Building, Room 213, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - T. Ito
- Department of Chemistry, Graduate School of Science, University of Tokyo, East Chemistry Building, Room 213, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
- Japan Science and Technology Agency, 4-1-8, Honcho, Kawaguchi-shi, Saitama 332-0012, Japan
| | - K. Yamada
- R&D Department, euglena Co., Ltd., 75-1, Ono-machi, Tsurumi-ku, Yokohama-shi 230-0046, Japan
| | - O. Iwata
- R&D Department, euglena Co., Ltd., 75-1, Ono-machi, Tsurumi-ku, Yokohama-shi 230-0046, Japan
| | - K. Suzuki
- R&D Department, euglena Co., Ltd., 75-1, Ono-machi, Tsurumi-ku, Yokohama-shi 230-0046, Japan
| | - S. Ohnuki
- Department of Integrated Biosciences, Graduate School of Frontier Sciences, University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8562, Japan
| | - Y. Ohya
- Department of Integrated Biosciences, Graduate School of Frontier Sciences, University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8562, Japan
- AIST-UTokyo Advanced Operando-Measurement Technology Open Innovation Laboratory (OPERANDO-OIL), National Institute of Advanced Industrial Science and Technology (AIST), 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8589, Japan
| | - Y. Kato
- Graduate School of Science, Technology Innovation, Kobe University, 1-1 Rokkodai, Nada, Kobe 657-8501, Japan
| | - T. Hasunuma
- Graduate School of Science, Technology Innovation, Kobe University, 1-1 Rokkodai, Nada, Kobe 657-8501, Japan
- Engineering Biology Research Center, Kobe University, 1-1 Rokkodai, Nada, Kobe 657-8501, Japan
| | - S. Matsusaka
- Clinical Research and Regional Innovation, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8575, Japan
| | - M. Yamagishi
- Department of Biological Sciences, Graduate School of Science, University of Tokyo, Faculty of Science Building 1 (East), Room 575, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - M. Yazawa
- Department of Rehabilitation and Regenerative Medicine, Pharmacology, Columbia University, 650 West 168th Street, BB1108, New York, NY 10032, USA
| | - S. Uemura
- Department of Biological Sciences, Graduate School of Science, University of Tokyo, Faculty of Science Building 1 (East), Room 575, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - K. Nagasawa
- Division of Stem Cell Cellomics, Institute of Medical Science, University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo 108-8639, Japan
| | - H. Watarai
- Division of Stem Cell Cellomics, Institute of Medical Science, University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo 108-8639, Japan
- Department of Immunology and Stem Cell Biology, Faculty of Medicine, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, 13-1 Takara-machi, Kanazawa, Ishikawa 920-8640, Japan
| | - D. Di Carlo
- Department of Bioengineering, Samueli School of Engineering, University of California, Los Angeles, 420 Westwood Plaza, 5121E Engineering V, Los Angeles, CA 90095, USA
| | - K. Goda
- Department of Chemistry, Graduate School of Science, University of Tokyo, East Chemistry Building, Room 213, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
- Department of Bioengineering, Samueli School of Engineering, University of California, Los Angeles, 420 Westwood Plaza, 5121E Engineering V, Los Angeles, CA 90095, USA
- Japan Science and Technology Agency, 4-1-8, Honcho, Kawaguchi-shi, Saitama 332-0012, Japan
- Institute of Technological Sciences, Wuhan University, Hubei 430072, China
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18
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Bachman H, Gu Y, Rufo J, Yang S, Tian Z, Huang PH, Yu L, Huang TJ. Low-frequency flexural wave based microparticle manipulation. LAB ON A CHIP 2020; 20:1281-1289. [PMID: 32154525 PMCID: PMC7392613 DOI: 10.1039/d0lc00072h] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
Manipulation of microparticles and bio-samples is a critical task in many research and clinical settings. Recently, acoustic based methods have garnered significant attention due to their relatively simple designs, and biocompatible and precise manipulation of small objects. Herein, we introduce a flexural wave based acoustofluidic manipulation platform that utilizes low-frequency (4-6 kHz) commercial buzzers to achieve dynamic particle concentration and translation in an open fluid well. The device has two primary modes of functionality, wherein particles can be concentrated in pressure nodes that are present on the bottom surface of the device, or particles can be trapped and manipulated in streaming vortices within the fluid domain; both of these functions result from flexural mode vibrations that travel from the transducers throughout the device. Throughout our research, we numerically and experimentally explored the wave patterns generated within the device, investigated the particle concentration phenomenon, and utilized a phase difference between the two transducers to achieve precision movement of fluid vortices and the entrapped particle clusters. With its simple, low-cost nature and open fluidic chamber design, this platform can be useful in many biological, biochemical, and biomedical applications, such as tumor spheroid generation and culture, as well as the manipulation of embryos.
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Affiliation(s)
- Hunter Bachman
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA.
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19
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Nucleic acid amplification free biosensors for pathogen detection. Biosens Bioelectron 2020; 153:112049. [DOI: 10.1016/j.bios.2020.112049] [Citation(s) in RCA: 55] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Revised: 01/21/2020] [Accepted: 01/23/2020] [Indexed: 12/11/2022]
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20
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Hengoju S, Wohlfeil S, Munser AS, Boehme S, Beckert E, Shvydkiv O, Tovar M, Roth M, Rosenbaum MA. Optofluidic detection setup for multi-parametric analysis of microbiological samples in droplets. BIOMICROFLUIDICS 2020; 14:024109. [PMID: 32547676 PMCID: PMC7148121 DOI: 10.1063/1.5139603] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2019] [Accepted: 03/27/2020] [Indexed: 05/03/2023]
Abstract
High-throughput microbiological experimentation using droplet microfluidics is limited due to the complexity and restricted versatility of the available detection techniques. Current detection setups are bulky, complicated, expensive, and require tedious optical alignment procedures while still mostly limited to fluorescence. In this work, we demonstrate an optofluidic detection setup for multi-parametric analyses of droplet samples by easily integrating micro-lenses and embedding optical fibers for guiding light in and out of the microfluidic chip. The optofluidic setup was validated for detection of absorbance, fluorescence, and scattered light. The developed platform was used for simultaneous detection of multiple parameters in different microbiological applications like cell density determination, growth kinetics, and antibiotic inhibition assays. Combining the high-throughput potential of droplet microfluidics with the ease, flexibility, and simplicity of optical fibers results in a powerful platform for microbiological experiments.
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Affiliation(s)
| | - S. Wohlfeil
- Fraunhofer Institute for Applied Optics and Precision Engineering IOF, Albert-Einstein-Str. 7, 07745 Jena, Germany
| | - A. S. Munser
- Fraunhofer Institute for Applied Optics and Precision Engineering IOF, Albert-Einstein-Str. 7, 07745 Jena, Germany
| | - S. Boehme
- Fraunhofer Institute for Applied Optics and Precision Engineering IOF, Albert-Einstein-Str. 7, 07745 Jena, Germany
| | - E. Beckert
- Fraunhofer Institute for Applied Optics and Precision Engineering IOF, Albert-Einstein-Str. 7, 07745 Jena, Germany
| | - O. Shvydkiv
- Leibniz Institute for Natural Product Research and Infection Biology, Hans Knoell Institute, Beutenbergstr. 11a, 07745 Jena, Germany
| | - M. Tovar
- Leibniz Institute for Natural Product Research and Infection Biology, Hans Knoell Institute, Beutenbergstr. 11a, 07745 Jena, Germany
| | - M. Roth
- Leibniz Institute for Natural Product Research and Infection Biology, Hans Knoell Institute, Beutenbergstr. 11a, 07745 Jena, Germany
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21
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Loo JFC, Ho HP, Kong SK, Wang TH, Ho YP. Technological Advances in Multiscale Analysis of Single Cells in Biomedicine. ACTA ACUST UNITED AC 2019; 3:e1900138. [PMID: 32648696 DOI: 10.1002/adbi.201900138] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2019] [Revised: 07/25/2019] [Indexed: 12/20/2022]
Abstract
Single-cell analysis has recently received significant attention in biomedicine. With the advances in super-resolution microscopy, fluorescence labeling, and nanoscale biosensing, new information may be obtained for the design of cancer diagnosis and therapeutic interventions. The discovery of cellular heterogeneity further stresses the importance of single-cell analysis to improve our understanding of disease mechanism and to develop new strategies for disease treatment. To this end, many studies are exploited at the single-cell level for high throughput, highly parallel, and quantitative analysis. Technically, microfluidics are also designed to facilitate single-cell isolation and enrichment for downstream detection and manipulation in a robust, sensitive, and automated manner. Further achievements are made possible by consolidating optically label-free, electrical, and molecular sensing techniques. Moreover, these technologies are coupled with computing algorithms for high throughput and automated quantitative analysis with a short turnaround time. To reflect on how the technological developments have advanced single-cell analysis, this mini-review is aimed to offer readers an introduction to single-cell analysis with a brief historical development and the recent progresses that have enabled multiscale analysis of single-cells in the last decade. The challenges and future trends are also discussed with the view to inspire forthcoming technical developments.
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Affiliation(s)
- Jacky Fong-Chuen Loo
- Department of Biomedical Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR.,Biochemistry Programme, School of Life Sciences, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR
| | - Ho Pui Ho
- Department of Biomedical Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR
| | - Siu Kai Kong
- Biochemistry Programme, School of Life Sciences, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR
| | - Tza-Huei Wang
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.,Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Yi-Ping Ho
- Department of Biomedical Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR.,Centre for Novel Biomaterials, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR
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22
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Shin DJ, Andini N, Hsieh K, Yang S, Wang TH. Emerging Analytical Techniques for Rapid Pathogen Identification and Susceptibility Testing. ANNUAL REVIEW OF ANALYTICAL CHEMISTRY (PALO ALTO, CALIF.) 2019; 12:41-67. [PMID: 30939033 PMCID: PMC7369001 DOI: 10.1146/annurev-anchem-061318-115529] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
In the face of looming threats from multi-drug resistant microorganisms, there is a growing need for technologies that will enable rapid identification and drug susceptibility profiling of these pathogens in health care settings. In particular, recent progress in microfluidics and nucleic acid amplification is pushing the boundaries of timescale for diagnosing bacterial infections. With a diverse range of techniques and parallel developments in the field of analytical chemistry, an integrative perspective is needed to understand the significance of these developments. This review examines the scope of new developments in assay technologies grouped by key enabling domains of research. First, we examine recent development in nucleic acid amplification assays for rapid identification and drug susceptibility testing in bacterial infections. Next, we examine advances in microfluidics that facilitate acceleration of diagnostic assays via integration and scale. Lastly, recentdevelopments in biosensor technologies are reviewed. We conclude this review with perspectives on the use of emerging concepts to develop paradigm-changing assays.
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Affiliation(s)
- Dong Jin Shin
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, USA;
| | - Nadya Andini
- Department of Emergency Medicine, Stanford University, Stanford, California 94305, USA;
| | - Kuangwen Hsieh
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, USA;
| | - Samuel Yang
- Department of Emergency Medicine, Stanford University, Stanford, California 94305, USA;
| | - Tza-Huei Wang
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, USA;
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23
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Zeng W, Fu H. Precise measurement and control of the pressure‐driven flows for microfluidic systems. Electrophoresis 2019; 41:852-859. [DOI: 10.1002/elps.201900103] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2019] [Revised: 04/29/2019] [Accepted: 04/30/2019] [Indexed: 01/09/2023]
Affiliation(s)
- Wen Zeng
- Department of Fluid Control and AutomationHarbin Institute of Technology Harbin P. R. China
| | - Hai Fu
- Department of Fluid Control and AutomationHarbin Institute of Technology Harbin P. R. China
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24
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Rajapaksha P, Elbourne A, Gangadoo S, Brown R, Cozzolino D, Chapman J. A review of methods for the detection of pathogenic microorganisms. Analyst 2019; 144:396-411. [PMID: 30468217 DOI: 10.1039/c8an01488d] [Citation(s) in RCA: 262] [Impact Index Per Article: 52.4] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
The testing and rapid detection of pathogenic organisms is a crucial protocol in the prevention and identification of crises related to health, safety and wellbeing. Pathogen detection has become one of the most challenging aspects in the food and water industries, because of the rapid spread of waterborne and foodborne diseases in the community and at significant costs. With the prospect of inevitable population growth, and an influx of tourism to certain water bodies testing will become a requirement to control and prevent possible outbreaks of potentially fatal illnesses. The legislation is already particularly rigorous in the food industry, where failure to detect pathogenic materials represents a catastrophic event, particularly for the elderly, very young or immune-compromised population types. In spite of the need and requirement for rapid analytical testing, conventional and standard bacterial detection assays may take up to seven days to yield a result. Given the advent of new technologies, biosensors, chemical knowledge and miniaturisation of instrumentation this timescale is not acceptable. This review presents an opportunity to fill a knowledge gap for an extremely important research area; discussing the main techniques, biology, chemistry, miniaturisation, sensing and the emerging state-of-the-art research and developments for detection of pathogens in food, water, blood and faecal samples.
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Affiliation(s)
- P Rajapaksha
- School of Science, RMIT University, La Trobe Street, Melbourne, 3000, Victoria, Australia.
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25
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Mach KE, Kaushik AM, Hsieh K, Wong PK, Wang TH, Liao JC. Optimizing peptide nucleic acid probes for hybridization-based detection and identification of bacterial pathogens. Analyst 2019; 144:1565-1574. [PMID: 30656297 PMCID: PMC7039532 DOI: 10.1039/c8an02194e] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Point-of-care (POC) diagnostics for infectious diseases have the potential to improve patient care and antibiotic stewardship. Nucleic acid hybridization is at the core of many amplification-free molecular diagnostics and detection probe configuration is key to diagnostic performance. Modified nucleic acids such as peptide nucleic acid (PNA) offer advantages compared to conventional DNA probes allowing for faster hybridization, better stability and minimal sample preparation for direct detection of pathogens. Probes with tethered fluorophore and quencher allow for solution-based assays and eliminate the need for washing steps thereby facilitating integration into microfluidic devices. Here, we compared the sensitivity and specificity of double stranded PNA probes (dsPNA) and PNA molecular beacons targeting E. coli and P. aeruginosa for direct detection of bacterial pathogens. In bulk fluid assays, the dsPNAs had an overall higher fluorescent signal and better sensitivity and specificity than the PNA beacons for pathogen detection. We further designed and tested an expanded panel of dsPNA probes for detection of a wide variety of pathogenic bacteria including probes for universal detection of eubacteria, Enterobacteriaceae family, and P. mirablis. To confirm that the advantage translated to other assay types we compared the PNA beacon and dsPNA in a prototype droplet microfluidic device. Beyond the bulk fluid assay and droplet devices, use of dsPNA probes may be advantageous in a wide variety of assays that employ homogenous nucleic acid hybridization.
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Affiliation(s)
- Kathleen E Mach
- Department of Urology, Stanford University School of Medicine, Stanford, CA, USA.
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Zhang P, Kaushik A, Hsieh K, Wang TH. Customizing droplet contents and dynamic ranges via integrated programmable picodroplet assembler. MICROSYSTEMS & NANOENGINEERING 2019; 5:22. [PMID: 31636920 PMCID: PMC6799804 DOI: 10.1038/s41378-019-0062-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2018] [Revised: 03/07/2019] [Accepted: 03/27/2019] [Indexed: 05/03/2023]
Abstract
Droplet microfluidic technology is becoming increasingly useful for high-throughput and high-sensitivity detection of biological and biochemical reactions. Most current droplet devices function by passively discretizing a single sample subject to a homogeneous or random reagent/reaction condition into tens of thousands of picoliter-volume droplets for analysis. Despite their apparent advantages in speed and throughput, these droplet devices inherently lack the capability to customize the contents of droplets in order to test a single sample against multiple reagent conditions or multiple samples against multiple reagents. In order to incorporate such combinatorial capability into droplet platforms, we have developed the fully Integrated Programmable Picodroplet Assembler. Our platform is capable of generating customized picoliter-volume droplet groups from nanoliter-volume plugs which are assembled in situ on demand. By employing a combination of microvalves and flow-focusing-based discretization, our platform can be used to precisely control the content and volume of generated nanoliter-volume plugs, and thereafter the content and the effective dynamic range of picoliter-volume droplets. Furthermore, we can use a single integrated device for continuously generating, incubating, and detecting multiple distinct droplet groups. The device successfully marries the precise control and on-demand capability of microvalve-based platforms with the sensitivity and throughput of picoliter droplet platforms in a fully automated monolithic device. The device ultimately will find important applications in single-cell and single-molecule analyses.
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Affiliation(s)
- Pengfei Zhang
- Department of Biomedical Engineering, Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD 21218 USA
| | - Aniruddha Kaushik
- Department of Mechanical Engineering, Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD 21218 USA
| | - Kuangwen Hsieh
- Department of Mechanical Engineering, Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD 21218 USA
| | - Tza-Huei Wang
- Department of Biomedical Engineering, Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD 21218 USA
- Department of Mechanical Engineering, Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD 21218 USA
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27
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Wang Z. Detection and Automation Technologies for the Mass Production of Droplet Biomicrofluidics. IEEE Rev Biomed Eng 2018; 11:260-274. [PMID: 29993645 DOI: 10.1109/rbme.2018.2826984] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Droplet microfluidics utilizes two immiscible flows to generate small droplets with the diameter of a few to a few hundred micrometers. These droplets are promising tools for biomedical engineering because of the high throughput and the ease to finely tune the microenvironments. In addition to the great success of droplet biomicrofluidics in the proof-of-concept biosensing, regenerative medicine, and drug delivery, few droplet biomicrofluidic devices have a transformative impact on the industrial and clinical applications. The main issues are the low volume throughput and the lack of proper methods for quality control and automation. This review covers the methodologies for the mass production, detection, and automation of droplet generators. Recent advances in droplet mass production using parallelized devices and modified junction structures are discussed. Detection techniques, including optical and electrical detection methods, are comprehensively reviewed in detail. Newly emerged droplet closed-loop control systems are surveyed to highlight the progress in system integration and automation. Overall, with the advances in parallel droplet generation, highly sensitive detection, and robust closed-loop regulation, it is anticipated that the productivity and reliability of droplet biomicrofluidics will be significantly improved to meet the industrial and clinical needs.
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28
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Kaushik AM, Hsieh K, Wang TH. Droplet microfluidics for high-sensitivity and high-throughput detection and screening of disease biomarkers. WILEY INTERDISCIPLINARY REVIEWS. NANOMEDICINE AND NANOBIOTECHNOLOGY 2018; 10:e1522. [PMID: 29797414 PMCID: PMC6185786 DOI: 10.1002/wnan.1522] [Citation(s) in RCA: 48] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2017] [Revised: 03/02/2018] [Accepted: 03/10/2018] [Indexed: 12/17/2022]
Abstract
Biomarkers are nucleic acids, proteins, single cells, or small molecules in human tissues or biological fluids whose reliable detection can be used to confirm or predict disease and disease states. Sensitive detection of biomarkers is therefore critical in a variety of applications including disease diagnostics, therapeutics, and drug screening. Unfortunately for many diseases, low abundance of biomarkers in human samples and low sample volumes render standard benchtop platforms like 96-well plates ineffective for reliable detection and screening. Discretization of bulk samples into a large number of small volumes (fL-nL) via droplet microfluidic technology offers a promising solution for high-sensitivity and high-throughput detection and screening of biomarkers. Several microfluidic strategies exist for high-throughput biomarker digitization into droplets, and these strategies have been utilized by numerous droplet platforms for nucleic acid, protein, and single-cell detection and screening. While the potential of droplet-based platforms has led to burgeoning interest in droplets, seamless integration of sample preparation technologies and automation of platforms from biological sample to answer remain critical components that can render these platforms useful in the clinical setting in the near future. This article is categorized under: Diagnostic Tools > Biosensing Diagnostic Tools > Diagnostic Nanodevices Therapeutic Approaches and Drug Discovery > Emerging Technologies Therapeutic Approaches and Drug Discovery > Nanomedicine for Infectious Disease.
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Affiliation(s)
| | - Kuangwen Hsieh
- Department of Mechanical Engineering, Johns Hopkins University
| | - Tza-Huei Wang
- Department of Mechanical Engineering, Department of Biomedical Engineering, Johns Hopkins University
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29
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Dhar P. Thermofluidic Transport in Droplets under Electromagnetic Stimulus: A Comprehensive Review. J Indian Inst Sci 2018. [DOI: 10.1007/s41745-018-0088-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
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30
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Kaushik AM, Hsieh K, Chen L, Shin DJ, Liao JC, Wang TH. Accelerating bacterial growth detection and antimicrobial susceptibility assessment in integrated picoliter droplet platform. Biosens Bioelectron 2018; 97:260-266. [PMID: 28609716 DOI: 10.1016/j.bios.2017.06.006] [Citation(s) in RCA: 86] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2017] [Revised: 04/27/2017] [Accepted: 06/05/2017] [Indexed: 01/13/2023]
Abstract
There remains an urgent need for rapid diagnostic methods that can evaluate antibiotic resistance for pathogenic bacteria in order to deliver targeted antibiotic treatments. Toward this end, we present a rapid and integrated single-cell biosensing platform, termed dropFAST, for bacterial growth detection and antimicrobial susceptibility assessment. DropFAST utilizes a rapid resazurin-based fluorescent growth assay coupled with stochastic confinement of bacteria in 20 pL droplets to detect signal from growing bacteria after 1h incubation, equivalent to 2-3 bacterial replications. Full integration of droplet generation, incubation, and detection into a single, uninterrupted stream also renders this platform uniquely suitable for in-line bacterial phenotypic growth assessment. To illustrate the concept of rapid digital antimicrobial susceptibility assessment, we employ the dropFAST platform to evaluate the antibacterial effect of gentamicin on E. coli growth.
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Affiliation(s)
- Aniruddha M Kaushik
- Department of Mechanical Engineering, Johns Hopkins University, 3400 N. Charles St., Baltimore, MD, USA
| | - Kuangwen Hsieh
- Department of Mechanical Engineering, Johns Hopkins University, 3400 N. Charles St., Baltimore, MD, USA
| | - Liben Chen
- Department of Mechanical Engineering, Johns Hopkins University, 3400 N. Charles St., Baltimore, MD, USA
| | - Dong Jin Shin
- Department of Mechanical Engineering, Johns Hopkins University, 3400 N. Charles St., Baltimore, MD, USA
| | - Joseph C Liao
- Department of Urology, Stanford University School of Medicine, 300 Pasteur Dr. S-287, Stanford, CA, USA
| | - Tza-Huei Wang
- Department of Mechanical Engineering, Johns Hopkins University, 3400 N. Charles St., Baltimore, MD, USA; Department of Biomedical Engineering, Johns Hopkins University, 3400 N. Charles St., Baltimore, MD, USA.
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31
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Fan Y, Dong D, Li Q, Si H, Pei H, Li L, Tang B. Fluorescent analysis of bioactive molecules in single cells based on microfluidic chips. LAB ON A CHIP 2018; 18:1151-1173. [PMID: 29541737 DOI: 10.1039/c7lc01333g] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
Single-cell analysis of bioactive molecules is an essential strategy for a better understanding of cell biology, exploring cell heterogeneity, and improvement of the ability to detect early diseases. In single-cell analysis, highly efficient single-cell manipulation techniques and high-sensitive detection schemes are in urgent need. The rapid development of fluorescent analysis techniques combined with microfluidic chips have offered a widely applicable solution. Thus, in this review, we mainly focus on the application of fluorescence methods in components analysis on microchips at a single-cell level. By targeting different types of biological molecules in cells such as nucleic acids, proteins, and active small molecules, we specially introduce and comment on their corresponding fluorescent probes, fluorescence labelling and sensing strategies, and different fluorescence detection instruments used in single-cell analysis on a microfluidic chip. We hope that through this review, readers will have a better understanding of single-cell fluorescence analysis, especially for single-cell component fluorescence analysis based on microfluidic chips.
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Affiliation(s)
- Yuanyuan Fan
- College of Chemistry, Chemical Engineering and Materials Science, Collaborative Innovation Center of Functionalized Probes for Chemical Imaging in Universities of Shandong, Key Laboratory of Molecular and Nano Probes, Ministry of Education, Institute of Molecular and Nano Science, Shandong Normal University, Jinan 250014, P. R. China.
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32
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Axt B, Hsieh YF, Nalayanda D, Wang TH. Impedance feedback control of microfluidic valves for reliable post processing combinatorial droplet injection. Biomed Microdevices 2018; 19:61. [PMID: 28681238 DOI: 10.1007/s10544-017-0203-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Droplet microfluidics has found use in many biological assay applications as a means of high-throughput sample processing. One of the challenges of the technology, however, is the ability to control and merge droplets on-demand as they flow through the microdevices. It is in the interest of developing lab-on-chip devices to be able to combinatorically program additive mixing steps for more complex multistep and multiplex assays. Existing technologies to merge droplets are either passive in nature or require highly predictable droplet movement for feedforward control, making them vulnerable to errors during high throughput operation. In this paper, we describe and demonstrate a microfluidic valve-based device for the purpose of combinatorial droplet injection at any stage in a multistep assay. Microfluidic valves are used to robustly control fluid flow, droplet generation, and droplet mixing in the device on-demand, while on-chip impedance measurements taken in real time are used as feedback to accurately time the droplet injections. The presented system is contrasted to attempts without feedback, and is shown to be 100% reliable over long durations. Additionally, content detection and discretionary injections are explored and successfully executed.
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Affiliation(s)
- Brant Axt
- Department of Biomedical Engineering, Johns Hopkins University, 3400 N. Charles Street, Clark Hall 118B, Baltimore, MD, 21218, USA
| | - Yi-Fan Hsieh
- Department of Mechanical Engineering, Johns Hopkins University, 3400 N. Charles Street, Shaffer Hall 200A, Baltimore, MD, 21218, USA
| | - Divya Nalayanda
- Department of Biomedical Engineering, Johns Hopkins University, 3400 N. Charles Street, Clark Hall 118B, Baltimore, MD, 21218, USA
| | - Tza-Huei Wang
- Department of Biomedical Engineering, Johns Hopkins University, 3400 N. Charles Street, Clark Hall 118B, Baltimore, MD, 21218, USA. .,Department of Mechanical Engineering, Johns Hopkins University, 3400 N. Charles Street, Shaffer Hall 200A, Baltimore, MD, 21218, USA.
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33
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Shen R, Liu P, Zhang Y, Yu Z, Chen X, Zhou L, Nie B, Żaczek A, Chen J, Liu J. Sensitive Detection of Single-Cell Secreted H2O2 by Integrating a Microfluidic Droplet Sensor and Au Nanoclusters. Anal Chem 2018; 90:4478-4484. [DOI: 10.1021/acs.analchem.7b04798] [Citation(s) in RCA: 59] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Affiliation(s)
- Rui Shen
- Institute of Functional Nano and Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials and Devices, Soochow University, 199 Ren Ai Road, Suzhou Industrial Park, Suzhou, Jiangsu 215123, China
| | - Peipei Liu
- Institute of Functional Nano and Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials and Devices, Soochow University, 199 Ren Ai Road, Suzhou Industrial Park, Suzhou, Jiangsu 215123, China
| | - Yiqiu Zhang
- Institute of Functional Nano and Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials and Devices, Soochow University, 199 Ren Ai Road, Suzhou Industrial Park, Suzhou, Jiangsu 215123, China
| | - Zhao Yu
- Institute of Functional Nano and Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials and Devices, Soochow University, 199 Ren Ai Road, Suzhou Industrial Park, Suzhou, Jiangsu 215123, China
| | - Xuyue Chen
- Institute of Functional Nano and Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials and Devices, Soochow University, 199 Ren Ai Road, Suzhou Industrial Park, Suzhou, Jiangsu 215123, China
| | - Lu Zhou
- Institute of Functional Nano and Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials and Devices, Soochow University, 199 Ren Ai Road, Suzhou Industrial Park, Suzhou, Jiangsu 215123, China
| | - Baoqing Nie
- School of Electronic and Information Engineering, Soochow University, Suzhou, Jiangsu 215123, China
| | - Anna Żaczek
- Medical Biotechnology Department, Intercollegiate Faculty of Biotechnology, University of Gdańsk and Medical University of Gdańsk, Dębinki 1, Gdańsk, 80-211, Poland
| | - Jian Chen
- Institute of Functional Nano and Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials and Devices, Soochow University, 199 Ren Ai Road, Suzhou Industrial Park, Suzhou, Jiangsu 215123, China
| | - Jian Liu
- Institute of Functional Nano and Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials and Devices, Soochow University, 199 Ren Ai Road, Suzhou Industrial Park, Suzhou, Jiangsu 215123, China
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34
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Abstract
Fluorogenic oligonucleotide probes that can produce a change in fluorescence signal upon binding to specific biomolecular targets, including nucleic acids as well as non-nucleic acid targets, such as proteins and small molecules, have applications in various important areas. These include diagnostics, drug development and as tools for studying biomolecular interactions in situ and in real time. The probes usually consist of a labeled oligonucleotide strand as a recognition element together with a mechanism for signal transduction that can translate the binding event into a measurable signal. While a number of strategies have been developed for the signal transduction, relatively little attention has been paid to the recognition element. Peptide nucleic acids (PNA) are DNA mimics with several favorable properties making them a potential alternative to natural nucleic acids for the development of fluorogenic probes, including their very strong and specific recognition and excellent chemical and biological stabilities in addition to their ability to bind to structured nucleic acid targets. In addition, the uncharged backbone of PNA allows for other unique designs that cannot be performed with oligonucleotides or analogues with negatively-charged backbones. This review aims to introduce the principle, showcase state-of-the-art technologies and update recent developments in the areas of fluorogenic PNA probes during the past 20 years.
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Affiliation(s)
- Tirayut Vilaivan
- Organic Synthesis Research Unit, Department of Chemistry, Faculty of Science, Chulalongkorn University, Phayathai Road, Patumwan, Bangkok 10330, Thailand
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35
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Li Y, Yang X, Zhao W. Emerging Microtechnologies and Automated Systems for Rapid Bacterial Identification and Antibiotic Susceptibility Testing. SLAS Technol 2017; 22:585-608. [PMID: 28850804 DOI: 10.1177/2472630317727519] [Citation(s) in RCA: 57] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Rapid bacterial identification (ID) and antibiotic susceptibility testing (AST) are in great demand due to the rise of drug-resistant bacteria. Conventional culture-based AST methods suffer from a long turnaround time. By necessity, physicians often have to treat patients empirically with antibiotics, which has led to an inappropriate use of antibiotics, an elevated mortality rate and healthcare costs, and antibiotic resistance. Recent advances in miniaturization and automation provide promising solutions for rapid bacterial ID/AST profiling, which will potentially make a significant impact in the clinical management of infectious diseases and antibiotic stewardship in the coming years. In this review, we summarize and analyze representative emerging micro- and nanotechnologies, as well as automated systems for bacterial ID/AST, including both phenotypic (e.g., microfluidic-based bacterial culture, and digital imaging of single cells) and molecular (e.g., multiplex PCR, hybridization probes, nanoparticles, synthetic biology tools, mass spectrometry, and sequencing technologies) methods. We also discuss representative point-of-care (POC) systems that integrate sample processing, fluid handling, and detection for rapid bacterial ID/AST. Finally, we highlight major remaining challenges and discuss potential future endeavors toward improving clinical outcomes with rapid bacterial ID/AST technologies.
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Affiliation(s)
- Yiyan Li
- 1 Sue and Bill Gross Stem Cell Research Center, University of California-Irvine, Irvine, CA, USA.,7 Department of Physics and Engineering, Fort Lewis College, Durango, Colorado, USA
| | | | - Weian Zhao
- 1 Sue and Bill Gross Stem Cell Research Center, University of California-Irvine, Irvine, CA, USA.,6 Department of Biological Chemistry, University of California-Irvine, Irvine, CA, USA
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36
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Clark IC, Abate AR. Finding a helix in a haystack: nucleic acid cytometry with droplet microfluidics. LAB ON A CHIP 2017; 17:2032-2045. [PMID: 28540956 PMCID: PMC6005652 DOI: 10.1039/c7lc00241f] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
Nucleic acids encode the information of life, programming cellular functions and dictating many biological outcomes. Differentiating between cells based on their nucleic acid programs is, thus, a powerful way to unravel the genetic bases of many phenotypes. This is especially important considering that most cells exist in heterogeneous populations, requiring them to be isolated before they can be studied. Existing flow cytometry techniques, however, are unable to reliably recover specific cells based on nucleic acid content. Nucleic acid cytometry is a new field built on droplet microfluidics that allows robust identification, sorting, and sequencing of cells based on specific nucleic acid biomarkers. This review highlights applications that immediately benefit from the approach, biological questions that can be addressed for the first time with it, and considerations for building successful workflows.
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Affiliation(s)
- Iain C Clark
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA.
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37
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Davenport M, Mach KE, Shortliffe LMD, Banaei N, Wang TH, Liao JC. New and developing diagnostic technologies for urinary tract infections. Nat Rev Urol 2017; 14:296-310. [PMID: 28248946 PMCID: PMC5473291 DOI: 10.1038/nrurol.2017.20] [Citation(s) in RCA: 180] [Impact Index Per Article: 25.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Timely and accurate identification and determination of the antimicrobial susceptibility of uropathogens is central to the management of UTIs. Urine dipsticks are fast and amenable to point-of-care testing, but do not have adequate diagnostic accuracy or provide microbiological diagnosis. Urine culture with antimicrobial susceptibility testing takes 2-3 days and requires a clinical laboratory. The common use of empirical antibiotics has contributed to the rise of multidrug-resistant organisms, reducing treatment options and increasing costs. In addition to improved antimicrobial stewardship and the development of new antimicrobials, novel diagnostics are needed for timely microbial identification and determination of antimicrobial susceptibilities. New diagnostic platforms, including nucleic acid tests and mass spectrometry, have been approved for clinical use and have improved the speed and accuracy of pathogen identification from primary cultures. Optimization for direct urine testing would reduce the time to diagnosis, yet these technologies do not provide comprehensive information on antimicrobial susceptibility. Emerging technologies including biosensors, microfluidics, and other integrated platforms could improve UTI diagnosis via direct pathogen detection from urine samples, rapid antimicrobial susceptibility testing, and point-of-care testing. Successful development and implementation of these technologies has the potential to usher in an era of precision medicine to improve patient care and public health.
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Affiliation(s)
- Michael Davenport
- Department of Urology, Stanford University School of Medicine, 300 Pasteur Drive S-287, Stanford, California 94305 USA
| | - Kathleen E Mach
- Department of Urology, Stanford University School of Medicine, 300 Pasteur Drive S-287, Stanford, California 94305 USA
| | - Linda M Dairiki Shortliffe
- Department of Urology, Stanford University School of Medicine, 300 Pasteur Drive S-287, Stanford, California 94305 USA
| | - Niaz Banaei
- Department of Pathology, Stanford University School of Medicine, 3375 Hillview Avenue, Palo Alto, California 94304 USA
| | - Tza-Huei Wang
- Departments of Mechanical and Biomedical Engineering, Johns Hopkins University, 3400 N. Charles Street, Baltimore, Maryland 21218, USA
| | - Joseph C Liao
- Department of Urology, Stanford University School of Medicine, 300 Pasteur Drive S-287, Stanford, California 94305 USA
- Veterans Affairs Palo Alto Health Care System, 3801 Miranda Avenue, Palo Alto, California 94304 USA
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38
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Hao N, Zhang JX. Microfluidic Screening of Circulating Tumor Biomarkers toward Liquid Biopsy. SEPARATION AND PURIFICATION REVIEWS 2017. [DOI: 10.1080/15422119.2017.1320763] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Affiliation(s)
- Nanjing Hao
- Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire, USA
| | - John X.J. Zhang
- Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire, USA
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39
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Andini N, Wang B, Athamanolap P, Hardick J, Masek BJ, Thair S, Hu A, Avornu G, Peterson S, Cogill S, Rothman RE, Carroll KC, Gaydos CA, Wang JTH, Batzoglou S, Yang S. Microbial Typing by Machine Learned DNA Melt Signatures. Sci Rep 2017; 7:42097. [PMID: 28165067 PMCID: PMC5292719 DOI: 10.1038/srep42097] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2016] [Accepted: 01/05/2017] [Indexed: 11/09/2022] Open
Abstract
There is still an ongoing demand for a simple broad-spectrum molecular diagnostic assay for pathogenic bacteria. For this purpose, we developed a single-plex High Resolution Melt (HRM) assay that generates complex melt curves for bacterial identification. Using internal transcribed spacer (ITS) region as the phylogenetic marker for HRM, we observed complex melt curve signatures as compared to 16S rDNA amplicons with enhanced interspecies discrimination. We also developed a novel Naïve Bayes curve classification algorithm with statistical interpretation and achieved 95% accuracy in differentiating 89 bacterial species in our library using leave-one-out cross-validation. Pilot clinical validation of our method correctly identified the etiologic organisms at the species-level in 59 culture-positive mono-bacterial blood culture samples with 90% accuracy. Our findings suggest that broad bacterial sequences may be simply, reliably and automatically profiled by ITS HRM assay for clinical adoption.
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Affiliation(s)
- Nadya Andini
- Emergency Medicine, Stanford University, Stanford, California, 94305, USA
| | - Bo Wang
- Computer Science, Stanford University, Stanford, California, 94305, USA
| | - Pornpat Athamanolap
- Biomedical Engineering, The Johns Hopkins University, Baltimore, Maryland, 21218, USA
| | - Justin Hardick
- Infectious Disease, Medicine, The Johns Hopkins University, Baltimore, Maryland, 21218, USA
| | - Billie J Masek
- Emergency Medicine, The Johns Hopkins University, Baltimore, Maryland, 21218, USA
| | - Simone Thair
- Emergency Medicine, Stanford University, Stanford, California, 94305, USA
| | - Anne Hu
- Emergency Medicine, Stanford University, Stanford, California, 94305, USA
| | - Gideon Avornu
- Emergency Medicine, The Johns Hopkins University, Baltimore, Maryland, 21218, USA
| | - Stephen Peterson
- Emergency Medicine, The Johns Hopkins University, Baltimore, Maryland, 21218, USA
| | - Steven Cogill
- Emergency Medicine, Stanford University, Stanford, California, 94305, USA
| | - Richard E Rothman
- Infectious Disease, Medicine, The Johns Hopkins University, Baltimore, Maryland, 21218, USA.,Emergency Medicine, The Johns Hopkins University, Baltimore, Maryland, 21218, USA
| | - Karen C Carroll
- Medical Microbiology, Pathology, The Johns Hopkins University, Baltimore, Maryland, 21218, USA
| | - Charlotte A Gaydos
- Infectious Disease, Medicine, The Johns Hopkins University, Baltimore, Maryland, 21218, USA.,Emergency Medicine, The Johns Hopkins University, Baltimore, Maryland, 21218, USA
| | - Jeff Tza-Huei Wang
- Biomedical Engineering, The Johns Hopkins University, Baltimore, Maryland, 21218, USA.,Mechanical Engineering, The Johns Hopkins University, Baltimore, Maryland, 21218, USA
| | - Serafim Batzoglou
- Computer Science, Stanford University, Stanford, California, 94305, USA
| | - Samuel Yang
- Emergency Medicine, Stanford University, Stanford, California, 94305, USA
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40
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Zilionis R, Nainys J, Veres A, Savova V, Zemmour D, Klein AM, Mazutis L. Single-cell barcoding and sequencing using droplet microfluidics. Nat Protoc 2016; 12:44-73. [PMID: 27929523 DOI: 10.1038/nprot.2016.154] [Citation(s) in RCA: 434] [Impact Index Per Article: 54.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
Single-cell RNA sequencing has recently emerged as a powerful tool for mapping cellular heterogeneity in diseased and healthy tissues, yet high-throughput methods are needed for capturing the unbiased diversity of cells. Droplet microfluidics is among the most promising candidates for capturing and processing thousands of individual cells for whole-transcriptome or genomic analysis in a massively parallel manner with minimal reagent use. We recently established a method called inDrops, which has the capability to index >15,000 cells in an hour. A suspension of cells is first encapsulated into nanoliter droplets with hydrogel beads (HBs) bearing barcoding DNA primers. Cells are then lysed and mRNA is barcoded (indexed) by a reverse transcription (RT) reaction. Here we provide details for (i) establishing an inDrops platform (1 d); (ii) performing hydrogel bead synthesis (4 d); (iii) encapsulating and barcoding cells (1 d); and (iv) RNA-seq library preparation (2 d). inDrops is a robust and scalable platform, and it is unique in its ability to capture and profile >75% of cells in even very small samples, on a scale of thousands or tens of thousands of cells.
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Affiliation(s)
- Rapolas Zilionis
- Institute of Biotechnology, Vilnius University, Vilnius, Lithuania.,Department of Systems Biology, Harvard Medical School, Boston, Massachusetts, USA
| | - Juozas Nainys
- Institute of Biotechnology, Vilnius University, Vilnius, Lithuania
| | - Adrian Veres
- Department of Systems Biology, Harvard Medical School, Boston, Massachusetts, USA.,Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, Massachusetts, USA.,Harvard Stem Cell Institute, Harvard University, Cambridge, Massachusetts, USA
| | - Virginia Savova
- Department of Systems Biology, Harvard Medical School, Boston, Massachusetts, USA
| | - David Zemmour
- Division of Immunology, Department of Microbiology and Immunobiology, Harvard Medical School, Boston, Massachusetts, USA
| | - Allon M Klein
- Department of Systems Biology, Harvard Medical School, Boston, Massachusetts, USA
| | - Linas Mazutis
- Institute of Biotechnology, Vilnius University, Vilnius, Lithuania
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41
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Label-Free Analysis and Sorting of Microalgae and Cyanobacteria in Microdroplets by Intrinsic Chlorophyll Fluorescence for the Identification of Fast Growing Strains. Anal Chem 2016; 88:10445-10451. [PMID: 27677315 DOI: 10.1021/acs.analchem.6b02364] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
Microalgae and cyanobacteria are promising organisms for sustainable biofuel production, but several challenges remain to make this economically viable, including identification of optimized strains with high biomass productivity. Here we report on a novel methodology for the label-free screening and sorting of cyanobacteria and microalgae in a microdroplet platform. We show for the first time that chlorophyll fluorescence can be used to measure differences in biomass between populations of picoliter microdroplets containing different species of cyanobacteria, Synechocystis PCC 6803 and Synechococcus PCC 7002, which exhibit different growth dynamics in bulk culture. The potential and robustness of this label-free screening approach is further demonstrated by the screening and sorting of cells of the green alga Chlamydomonas reinhardtii encapsulated in droplets.
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Wen N, Zhao Z, Fan B, Chen D, Men D, Wang J, Chen J. Development of Droplet Microfluidics Enabling High-Throughput Single-Cell Analysis. Molecules 2016; 21:E881. [PMID: 27399651 PMCID: PMC6272933 DOI: 10.3390/molecules21070881] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2016] [Revised: 06/27/2016] [Accepted: 06/28/2016] [Indexed: 12/20/2022] Open
Abstract
This article reviews recent developments in droplet microfluidics enabling high-throughput single-cell analysis. Five key aspects in this field are included in this review: (1) prototype demonstration of single-cell encapsulation in microfluidic droplets; (2) technical improvements of single-cell encapsulation in microfluidic droplets; (3) microfluidic droplets enabling single-cell proteomic analysis; (4) microfluidic droplets enabling single-cell genomic analysis; and (5) integrated microfluidic droplet systems enabling single-cell screening. We examine the advantages and limitations of each technique and discuss future research opportunities by focusing on key performances of throughput, multifunctionality, and absolute quantification.
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Affiliation(s)
- Na Wen
- Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China.
| | - Zhan Zhao
- Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China.
| | - Beiyuan Fan
- Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China.
| | - Deyong Chen
- Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China.
| | - Dong Men
- Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan 430071, China.
| | - Junbo Wang
- Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China.
| | - Jian Chen
- Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China.
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43
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Dong L, Chen DW, Liu SJ, Du W. Automated Chemotactic Sorting and Single-cell Cultivation of Microbes using Droplet Microfluidics. Sci Rep 2016; 6:24192. [PMID: 27074762 PMCID: PMC4831006 DOI: 10.1038/srep24192] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2016] [Accepted: 03/22/2016] [Indexed: 11/10/2022] Open
Abstract
We report a microfluidic device for automated sorting and cultivation of chemotactic microbes from pure cultures or mixtures. The device consists of two parts: in the first part, a concentration gradient of the chemoeffector was built across the channel for inducing chemotaxis of motile cells; in the second part, chemotactic cells from the sample were separated, and mixed with culture media to form nanoliter droplets for encapsulation, cultivation, enumeration, and recovery of single cells. Chemotactic responses were assessed by imaging and statistical analysis of droplets based on Poisson distribution. An automated procedure was developed for rapid enumeration of droplets with cell growth, following with scale-up cultivation on agar plates. The performance of the device was evaluated by the chemotaxis assays of Escherichia coli (E. coli) RP437 and E. coli RP1616. Moreover, enrichment and isolation of non-labelled Comamonas testosteroni CNB-1 from its 1:10 mixture with E. coli RP437 was demonstrated. The enrichment factor reached 36.7 for CNB-1, based on its distinctive chemotaxis toward 4-hydroxybenzoic acid. We believe that this device can be widely used in chemotaxis studies without necessarily relying on fluorescent labelling, and isolation of functional microbial species from various environments.
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Affiliation(s)
- Libing Dong
- Department of Chemistry, Renmin University of China, Beijing 100872, China.,State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Dong-Wei Chen
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Shuang-Jiang Liu
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Wenbin Du
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
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44
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Friedrich SM, Zec HC, Wang TH. Analysis of single nucleic acid molecules in micro- and nano-fluidics. LAB ON A CHIP 2016; 16:790-811. [PMID: 26818700 PMCID: PMC4767527 DOI: 10.1039/c5lc01294e] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Nucleic acid analysis has enhanced our understanding of biological processes and disease progression, elucidated the association of genetic variants and disease, and led to the design and implementation of new treatment strategies. These diverse applications require analysis of a variety of characteristics of nucleic acid molecules: size or length, detection or quantification of specific sequences, mapping of the general sequence structure, full sequence identification, analysis of epigenetic modifications, and observation of interactions between nucleic acids and other biomolecules. Strategies that can detect rare or transient species, characterize population distributions, and analyze small sample volumes enable the collection of richer data from biosamples. Platforms that integrate micro- and nano-fluidic operations with high sensitivity single molecule detection facilitate manipulation and detection of individual nucleic acid molecules. In this review, we will highlight important milestones and recent advances in single molecule nucleic acid analysis in micro- and nano-fluidic platforms. We focus on assessment modalities for single nucleic acid molecules and highlight the role of micro- and nano-structures and fluidic manipulation. We will also briefly discuss future directions and the current limitations and obstacles impeding even faster progress toward these goals.
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Affiliation(s)
- Sarah M Friedrich
- Biomedical Engineering Department, Johns Hopkins University, Baltimore, MD 21218, USA.
| | - Helena C Zec
- Mechanical Engineering Department, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Tza-Huei Wang
- Biomedical Engineering Department, Johns Hopkins University, Baltimore, MD 21218, USA. and Mechanical Engineering Department, Johns Hopkins University, Baltimore, MD 21218, USA
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45
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Mongersun A, Smeenk I, Pratx G, Asuri P, Abbyad P. Droplet Microfluidic Platform for the Determination of Single-Cell Lactate Release. Anal Chem 2016; 88:3257-63. [PMID: 26900621 DOI: 10.1021/acs.analchem.5b04681] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Cancer cells release high levels of lactate that has been correlated to increased metastasis and tumor recurrence. Single-cell measurements of lactate release can identify malignant cells and help decipher metabolic cancer pathways. We present here a novel droplet microfluidic method that allows the fast and quantitative determination of lactate release in many single cells. Using passive forces, droplets encapsulated cells are positioned in an array. The single-cell lactate release rate is determined from the increase in droplet fluorescence as the lactate is enzymatically converted to a fluorescent product. The method is used to measure the cell-to-cell variance of lactate release in K562 leukemia and U87 glioblastoma cancer cell lines and under the chemical inhibition of lactate efflux. The technique can be used in the study of cancer biology, but more broadly in cell biology, to capture the full range of stochastic variations in glycolysis activity in heterogeneous cell populations in a repeatable and high-throughput manner.
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Affiliation(s)
- Amy Mongersun
- Department of Bioengineering, Santa Clara University , Santa Clara, California 95053, United States
| | - Ian Smeenk
- Department of Chemistry and Biochemistry, Santa Clara University , Santa Clara, California 95053, United States
| | - Guillem Pratx
- Division of Radiation Physics, Department of Radiation Oncology, Stanford University School of Medicine , Stanford, California 94304, United States
| | - Prashanth Asuri
- Department of Bioengineering, Santa Clara University , Santa Clara, California 95053, United States
| | - Paul Abbyad
- Department of Chemistry and Biochemistry, Santa Clara University , Santa Clara, California 95053, United States
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46
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Enhancing Throughput of Combinatorial Droplet Devices via Droplet Bifurcation, Parallelized Droplet Fusion, and Parallelized Detection. MICROMACHINES 2015. [DOI: 10.3390/mi6101434] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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47
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Guan W, Chen L, Rane TD, Wang TH. Droplet Digital Enzyme-Linked Oligonucleotide Hybridization Assay for Absolute RNA Quantification. Sci Rep 2015; 5:13795. [PMID: 26333806 PMCID: PMC4558716 DOI: 10.1038/srep13795] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2015] [Accepted: 08/05/2015] [Indexed: 01/03/2023] Open
Abstract
We present a continuous-flow droplet-based digital Enzyme-Linked Oligonucleotide Hybridization Assay (droplet digital ELOHA) for sensitive detection and absolute quantification of RNA molecules. Droplet digital ELOHA incorporates direct hybridization and single enzyme reaction via the formation of single probe-RNA-probe (enzyme) complex on magnetic beads. It enables RNA detection without reverse transcription and PCR amplification processes. The magnetic beads are subsequently encapsulated into a large number of picoliter-sized droplets with enzyme substrates in a continuous-flow device. This device is capable of generating droplets at high-throughput. It also integrates in-line enzymatic incubation and detection of fluorescent products. Our droplet digital ELOHA is able to accurately quantify (differentiate 40% difference) as few as ~600 RNA molecules in a 1 mL sample (equivalent to 1 aM or lower) without molecular replication. The absolute quantification ability of droplet digital ELOHA is demonstrated with the analysis of clinical Neisseria gonorrhoeae 16S rRNA to show its potential value in real complex samples.
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Affiliation(s)
- Weihua Guan
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore 21218, USA.,Department of Mechanical Engineering, Johns Hopkins University, Baltimore 21218, USA
| | - Liben Chen
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore 21218, USA
| | - Tushar D Rane
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore 21218, USA
| | - Tza-Huei Wang
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore 21218, USA.,Department of Mechanical Engineering, Johns Hopkins University, Baltimore 21218, USA
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48
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Srinivasan B, Tung S. Development and Applications of Portable Biosensors. ACTA ACUST UNITED AC 2015; 20:365-89. [DOI: 10.1177/2211068215581349] [Citation(s) in RCA: 122] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2014] [Indexed: 02/01/2023]
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49
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Lyu F, Xu M, Cheng Y, Xie J, Rao J, Tang SKY. Quantitative detection of cells expressing BlaC using droplet-based microfluidics for use in the diagnosis of tuberculosis. BIOMICROFLUIDICS 2015; 9:044120. [PMID: 26339319 PMCID: PMC4545073 DOI: 10.1063/1.4928879] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2015] [Accepted: 08/07/2015] [Indexed: 05/03/2023]
Abstract
This paper describes a method for the quantitative detection of cells expressing BlaC, a β-lactamase naturally expressed by Mycobacterium tuberculosis, intended for the diagnosis of tuberculosis. The method is based on the compartmentalization of bacteria in picoliter droplets at limiting dilutions such that each drop contains one or no cells. The co-encapsulation of a fluorogenic substrate probe for BlaC allows the quantification of bacteria by enumerating the number of fluorescent drops. Quantification of 10 colony forming units per milliliter is demonstrated. Furthermore, the encapsulation of single cell in drops maintains the specificity of the detection scheme even when the concentration of bacteria that do not express BlaC exceeds that expressing BlaC by one million-fold.
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Affiliation(s)
- Fengjiao Lyu
- Department of Mechanical Engineering, Stanford University , Stanford, California 94305, USA
| | | | - Yunfeng Cheng
- Molecular Imaging Program at Stanford, Departments of Radiology and Chemistry, Stanford University , Stanford, California 94305, USA
| | - Jinghang Xie
- Molecular Imaging Program at Stanford, Departments of Radiology and Chemistry, Stanford University , Stanford, California 94305, USA
| | - Jianghong Rao
- Molecular Imaging Program at Stanford, Departments of Radiology and Chemistry, Stanford University , Stanford, California 94305, USA
| | - Sindy K Y Tang
- Department of Mechanical Engineering, Stanford University , Stanford, California 94305, USA
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50
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Rane T, Zec HC, Wang TH. A barcode-free combinatorial screening platform for matrix metalloproteinase screening. Anal Chem 2015; 87:1950-6. [PMID: 25543856 PMCID: PMC4318618 DOI: 10.1021/ac504330x] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2014] [Accepted: 12/28/2014] [Indexed: 11/30/2022]
Abstract
Application of droplet microfluidics to combinatorial screening applications remains elusive because of the need for composition-identifying unique barcodes. Here we propose a barcode-free continuous flow droplet microfluidic platform to suit the requirements of combinatorial screening applications. We demonstrate robust and repeatable functioning of this platform with matrix metalloproteinase activity screening as a sample application.
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Affiliation(s)
- Tushar
D. Rane
- Department of Biomedical Engineering and Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States
| | - Helena C. Zec
- Department of Biomedical Engineering and Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States
| | - Tza-Huei Wang
- Department of Biomedical Engineering and Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States
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