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Ge T, Hu W, Zhang Z, He X, Wang L, Han X, Dai Z. Open and closed microfluidics for biosensing. Mater Today Bio 2024; 26:101048. [PMID: 38633866 PMCID: PMC11022104 DOI: 10.1016/j.mtbio.2024.101048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 04/01/2024] [Accepted: 04/03/2024] [Indexed: 04/19/2024] Open
Abstract
Biosensing is vital for many areas like disease diagnosis, infectious disease prevention, and point-of-care monitoring. Microfluidics has been evidenced to be a powerful tool for biosensing via integrating biological detection processes into a palm-size chip. Based on the chip structure, microfluidics has two subdivision types: open microfluidics and closed microfluidics, whose operation methods would be diverse. In this review, we summarize fundamentals, liquid control methods, and applications of open and closed microfluidics separately, point out the bottlenecks, and propose potential directions of microfluidics-based biosensing.
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Affiliation(s)
- Tianxin Ge
- Guangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, No.66, Gongchang Road, Guangming District, Shenzhen, Guangdong, 518107, PR China
| | - Wenxu Hu
- Guangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, No.66, Gongchang Road, Guangming District, Shenzhen, Guangdong, 518107, PR China
| | - Zilong Zhang
- Guangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, No.66, Gongchang Road, Guangming District, Shenzhen, Guangdong, 518107, PR China
| | - Xuexue He
- Guangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, No.66, Gongchang Road, Guangming District, Shenzhen, Guangdong, 518107, PR China
| | - Liqiu Wang
- Department of Mechanical Engineering, The Hong Kong Polytechnic University, 999077, Hong Kong, PR China
| | - Xing Han
- Guangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, No.66, Gongchang Road, Guangming District, Shenzhen, Guangdong, 518107, PR China
| | - Zong Dai
- Guangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, No.66, Gongchang Road, Guangming District, Shenzhen, Guangdong, 518107, PR China
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2
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Qin J, Qian Z, Lai Y, Zhang C, Zhang X. Microarray Platforms Based on 3D Printing. Anal Chem 2024; 96:6001-6011. [PMID: 38566481 DOI: 10.1021/acs.analchem.4c00367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
This paper introduces an innovative method for the fabrication and infusion of microwell arrays based on digital light processing (DLP) 3D printing. A low-cost DLP 3D printer is employed to fabricate microstructures rapidly with a broad dynamic range while maintaining high precision and fidelity. We constructed microwell arrays with varying diameters, from 200 to 2000 μm and multiple aspect ratios, in addition to microchannels with widths ranging from 45 to 1000 μm, proving the potential and flexibility of this fabrication method. The superimposition of parallel microchannels onto the microwell array, facilitated by positive or negative pressure, enabled the transfer of liquid to the microwells. Upon removal of the microchannel chip, a dispensed microdroplet array was obtained. This array can be modulated by adjusting the volume of the microwells and the inflow fluid. The filled microwell array allows chip-to-chip dispensing to the microreactor array through binding and centrifugation, facilitating multistep and multireagent assays. The 3D printing approach also enables the fabrication of intricate cavity designs, such as micropyramid arrays, which can be integrated with parallel microchannels to generate spheroid flowcells. This device demonstrated the ability to generate spheroids and manipulate their environment. We have successfully utilized precise modulation of spheroids size and performed parallel drug dose-response assays to evaluate its effectiveness. Furthermore, we managed to execute dynamic drug combinations based on a compact spheroids array, utilizing two orthogonal parallel microchannels. Our findings suggest that both the combination and temporal sequence of drug administration have a significant impact on therapeutic outcomes.
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Affiliation(s)
- Jinglin Qin
- Department of Neurobiology, School of Basic Medical Sciences, Beijing Key Laboratory of Neural Regeneration and Repair, Capital Medical University, Beijing 100069, China
| | - Zhenwei Qian
- Peking University 302 Clinical Medical School, Beijing 100039, China
| | - Yiwen Lai
- Department of Neurobiology, School of Basic Medical Sciences, Beijing Key Laboratory of Neural Regeneration and Repair, Capital Medical University, Beijing 100069, China
| | - Chen Zhang
- Department of Neurobiology, School of Basic Medical Sciences, Beijing Key Laboratory of Neural Regeneration and Repair, Capital Medical University, Beijing 100069, China
- Chinese Institute for Brain Research, Beijing 102206, China
| | - Xiannian Zhang
- Department of Neurobiology, School of Basic Medical Sciences, Beijing Key Laboratory of Neural Regeneration and Repair, Capital Medical University, Beijing 100069, China
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3
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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Shen C, Zhan C, Tong Z, Yin H, Hui J, Qiu S, Li Q, Xu X, Ma H, Wu Z, Shi N, Mao H. Detecting EGFR gene amplification using a fluorescence in situ hybridization platform based on digital microfluidics. Talanta 2024; 269:125444. [PMID: 38042143 DOI: 10.1016/j.talanta.2023.125444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 11/16/2023] [Accepted: 11/18/2023] [Indexed: 12/04/2023]
Abstract
Signal transduction mediated by epidermal growth factor receptor (EGFR) gene affects the proliferation, invasion, metastasis, and angiogenesis of tumor cells. In particular, non-small cell lung cancer (NSCLC) patients with increased in copy number of EGFR gene are often sensitive to tyrosine kinase inhibitors. Despite being the standard for detecting EGFR amplification in the clinic, fluorescence in situ hybridization (FISH) traditionally involves repetitive and complex benchtop procedures that are not only time consuming but also require well-trained personnel. To address these limitations, we develop a digital microfluidics-based FISH platform (DMF-FISH) that automatically implements FISH operations. This system mainly consists of a DMF chip for reagent operation, a heating array for temperature control and a signal processing system. With the capability of automatic droplet handling and efficient temperature control, DMF-FISH performs cell digestion, gradient elution, hybridization and DAPI staining without manual intervention. In addition to operational feasibility, DMF-FISH yields comparable performance with the benchtop FISH protocol but reducing the consumption of DNA probe by 87 % when tested with cell lines and clinical samples. These results highlight unique advantages of the fully automated DMF-FISH system and thus suggest its great potential for clinical diagnosis and personalized therapy of NSCLC.
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Affiliation(s)
- Chuanjie Shen
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China; Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Cheng Zhan
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200030, China
| | - Zhaoduo Tong
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China; Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Hao Yin
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China; Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jianan Hui
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China
| | - Shihui Qiu
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China; Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Qiushi Li
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China
| | - Xin Xu
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China
| | - Hui Ma
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China
| | - Zhenhua Wu
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China; Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Nan Shi
- Suzhou Inst Nanotech & Nanob, Chinese Academy of Sciences, Suzhou, 215123, China.
| | - Hongju Mao
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China; Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China.
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Hamel KM, Frazier TP, Williams C, Duplessis T, Rowan BG, Gimble JM, Sanchez CG. Adipose Tissue in Breast Cancer Microphysiological Models to Capture Human Diversity in Preclinical Models. Int J Mol Sci 2024; 25:2728. [PMID: 38473978 DOI: 10.3390/ijms25052728] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Revised: 02/23/2024] [Accepted: 02/24/2024] [Indexed: 03/14/2024] Open
Abstract
Female breast cancer accounts for 15.2% of all new cancer cases in the United States, with a continuing increase in incidence despite efforts to discover new targeted therapies. With an approximate failure rate of 85% for therapies in the early phases of clinical trials, there is a need for more translatable, new preclinical in vitro models that include cellular heterogeneity, extracellular matrix, and human-derived biomaterials. Specifically, adipose tissue and its resident cell populations have been identified as necessary attributes for current preclinical models. Adipose-derived stromal/stem cells (ASCs) and mature adipocytes are a normal part of the breast tissue composition and not only contribute to normal breast physiology but also play a significant role in breast cancer pathophysiology. Given the recognized pro-tumorigenic role of adipocytes in tumor progression, there remains a need to enhance the complexity of current models and account for the contribution of the components that exist within the adipose stromal environment to breast tumorigenesis. This review article captures the current landscape of preclinical breast cancer models with a focus on breast cancer microphysiological system (MPS) models and their counterpart patient-derived xenograft (PDX) models to capture patient diversity as they relate to adipose tissue.
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Affiliation(s)
| | | | - Christopher Williams
- Division of Basic Pharmaceutical Sciences, Xavier University of Louisiana, New Orleans, LA 70125, USA
| | | | - Brian G Rowan
- Department of Structural and Cellular Biology, Tulane University School of Medicine, New Orleans, LA 70112, USA
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Yoon S, Kilicarslan You D, Jeong U, Lee M, Kim E, Jeon TJ, Kim SM. Microfluidics in High-Throughput Drug Screening: Organ-on-a-Chip and C. elegans-Based Innovations. Biosensors (Basel) 2024; 14:55. [PMID: 38275308 PMCID: PMC10813408 DOI: 10.3390/bios14010055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 01/16/2024] [Accepted: 01/19/2024] [Indexed: 01/27/2024]
Abstract
The development of therapeutic interventions for diseases necessitates a crucial step known as drug screening, wherein potential substances with medicinal properties are rigorously evaluated. This process has undergone a transformative evolution, driven by the imperative need for more efficient, rapid, and high-throughput screening platforms. Among these, microfluidic systems have emerged as the epitome of efficiency, enabling the screening of drug candidates with unprecedented speed and minimal sample consumption. This review paper explores the cutting-edge landscape of microfluidic-based drug screening platforms, with a specific emphasis on two pioneering approaches: organ-on-a-chip and C. elegans-based chips. Organ-on-a-chip technology harnesses human-derived cells to recreate the physiological functions of human organs, offering an invaluable tool for assessing drug efficacy and toxicity. In parallel, C. elegans-based chips, boasting up to 60% genetic homology with humans and a remarkable affinity for microfluidic systems, have proven to be robust models for drug screening. Our comprehensive review endeavors to provide readers with a profound understanding of the fundamental principles, advantages, and challenges associated with these innovative drug screening platforms. We delve into the latest breakthroughs and practical applications in this burgeoning field, illuminating the pivotal role these platforms play in expediting drug discovery and development. Furthermore, we engage in a forward-looking discussion to delineate the future directions and untapped potential inherent in these transformative technologies. Through this review, we aim to contribute to the collective knowledge base in the realm of drug screening, providing valuable insights to researchers, clinicians, and stakeholders alike. We invite readers to embark on a journey into the realm of microfluidic-based drug screening platforms, fostering a deeper appreciation for their significance and promising avenues yet to be explored.
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Affiliation(s)
- Sunhee Yoon
- Department of Biological Sciences and Bioengineering, Inha University, Incheon 22212, Republic of Korea; (S.Y.); (D.K.Y.); (M.L.); (E.K.)
| | - Dilara Kilicarslan You
- Department of Biological Sciences and Bioengineering, Inha University, Incheon 22212, Republic of Korea; (S.Y.); (D.K.Y.); (M.L.); (E.K.)
| | - Uiechan Jeong
- Department of Mechanical Engineering, Inha University, Incheon 22212, Republic of Korea
| | - Mina Lee
- Department of Biological Sciences and Bioengineering, Inha University, Incheon 22212, Republic of Korea; (S.Y.); (D.K.Y.); (M.L.); (E.K.)
| | - Eunhye Kim
- Department of Biological Sciences and Bioengineering, Inha University, Incheon 22212, Republic of Korea; (S.Y.); (D.K.Y.); (M.L.); (E.K.)
| | - Tae-Joon Jeon
- Department of Biological Sciences and Bioengineering, Inha University, Incheon 22212, Republic of Korea; (S.Y.); (D.K.Y.); (M.L.); (E.K.)
- Department of Biological Engineering, Inha University, Incheon 22212, Republic of Korea
- Biohybrid Systems Research Center (BSRC), Inha University, Incheon 22212, Republic of Korea
| | - Sun Min Kim
- Department of Biological Sciences and Bioengineering, Inha University, Incheon 22212, Republic of Korea; (S.Y.); (D.K.Y.); (M.L.); (E.K.)
- Department of Mechanical Engineering, Inha University, Incheon 22212, Republic of Korea
- Biohybrid Systems Research Center (BSRC), Inha University, Incheon 22212, Republic of Korea
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Sheng H, Chen L, Zhao Y, Long X, Chen Q, Wu C, Li B, Fei Y, Mi L, Ma J. Closed, one-stop intelligent and accurate particle characterization based on micro-Raman spectroscopy and digital microfluidics. Talanta 2024; 266:124895. [PMID: 37454511 DOI: 10.1016/j.talanta.2023.124895] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Revised: 06/19/2023] [Accepted: 07/01/2023] [Indexed: 07/18/2023]
Abstract
Monoclonal antibodies are prone to form protein particles through aggregation, fragmentation, and oxidation under varying stress conditions during the manufacturing, shipping, and storage of parenteral drug products. According to pharmacopeia requirements, sub-visible particle levels need to be controlled throughout the shelf life of the product. Therefore, in addition to determining particle counts, it is crucial to accurately characterize particles in drug product to understand the stress condition of exposure and to implement appropriate mitigation actions for a specific formulation. In this study, we developed a new method for intelligent characterization of protein particles using micro-Raman spectroscopy on a digital microfluidic chip (DMF). Several microliters of protein particle solutions induced by stress degradation were loaded onto a DMF chip to generate multiple droplets for Raman spectroscopy testing. By training multiple machine learning classification models on the obtained Raman spectra of protein particles, eight types of protein particles were successfully characterized and predicted with high classification accuracy (93%-100%). The advantages of the novel particle characterization method proposed in this study include a closed system to prevent particle contamination, one-stop testing of morphological and chemical structure information, low sample volume consumption, reusable particle droplets, and simplified data analysis with high classification accuracy. It provides great potential to determine the probable root cause of the particle source or stress conditions by a single testing, so that an accurate particle control strategy can be developed and ultimately extend the product shelf-life.
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Affiliation(s)
- Han Sheng
- Institute of Biomedical Engineering and Technology, Academy for Engineer and Technology, Fudan University, 220 Handan Road, Shanghai, 200433, China
| | - Liwen Chen
- Shanghai Engineering Research Center of Ultra-precision Optical Manufacturing, Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Green Photoelectron Platform, Department of Optical Science and Engineering, Fudan University, 220 Handan Road, Shanghai, 200433, China; Ruidge Biotech Co. Ltd., No. 888, Huanhu West 2nd Road, Lin-Gang Special Area, China (Shanghai) Pilot Free Trade Zone, Shanghai, 200131, China
| | - Yinping Zhao
- Institute of Biomedical Engineering and Technology, Academy for Engineer and Technology, Fudan University, 220 Handan Road, Shanghai, 200433, China
| | - Xiangan Long
- Institute of Biomedical Engineering and Technology, Academy for Engineer and Technology, Fudan University, 220 Handan Road, Shanghai, 200433, China
| | - Qiushu Chen
- Shanghai Engineering Research Center of Ultra-precision Optical Manufacturing, Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Green Photoelectron Platform, Department of Optical Science and Engineering, Fudan University, 220 Handan Road, Shanghai, 200433, China
| | - Chuanyong Wu
- Shanghai Hengxin BioTechnology, Ltd., 1688 North Guo Quan Rd, Bldg A8, Rm 801, Shanghai, 200438, China
| | - Bei Li
- State Key Laboratory of Applied Optics, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, No.3888 Dong Nanhu Road, Changchun, Jilin, 130033, China
| | - Yiyan Fei
- Shanghai Engineering Research Center of Ultra-precision Optical Manufacturing, Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Green Photoelectron Platform, Department of Optical Science and Engineering, Fudan University, 220 Handan Road, Shanghai, 200433, China
| | - Lan Mi
- Shanghai Engineering Research Center of Ultra-precision Optical Manufacturing, Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Green Photoelectron Platform, Department of Optical Science and Engineering, Fudan University, 220 Handan Road, Shanghai, 200433, China.
| | - Jiong Ma
- Institute of Biomedical Engineering and Technology, Academy for Engineer and Technology, Fudan University, 220 Handan Road, Shanghai, 200433, China; Shanghai Engineering Research Center of Ultra-precision Optical Manufacturing, Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Green Photoelectron Platform, Department of Optical Science and Engineering, Fudan University, 220 Handan Road, Shanghai, 200433, China; Shanghai Engineering Research Center of Industrial Microorganisms, The Multiscale Research Institute of Complex Systems (MRICS), School of Life Sciences, Fudan University, 220 Handan Road, Shanghai, 200433, China.
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Yang D, Yu Z, Zheng M, Yang W, Liu Z, Zhou J, Huang L. Artificial intelligence-accelerated high-throughput screening of antibiotic combinations on a microfluidic combinatorial droplet system. Lab Chip 2023; 23:3961-3977. [PMID: 37605875 DOI: 10.1039/d3lc00647f] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/23/2023]
Abstract
Microfluidic platforms have been employed as an effective tool for drug screening and exhibit the advantages of lower reagent consumption, higher throughput and a higher degree of automation. Despite the great advancement, it remains challenging to screen complex antibiotic combinations in a simple, high-throughput and systematic manner. Meanwhile, the large amounts of datasets generated during the screening process generally outpace the abilities of the conventional manual or semi-automatic data analysis. To address these issues, we propose an artificial intelligence-accelerated high-throughput combinatorial drug evaluation system (AI-HTCDES), which not only allows high-throughput production of antibiotic combinations with varying concentrations, but can also automatically analyze the dynamic growth of bacteria under the action of different antibiotic combinations. Based on this system, several antibiotic combinations displaying an additive effect are discovered, and the dosage regimens of each component in the combinations are determined. This strategy not only provides useful guidance in the clinical use of antibiotic combination therapy and personalized medicine, but also offers a promising tool for the combinatorial screenings of other medicines.
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Affiliation(s)
- Deyu Yang
- School of Biomedical Engineering, Sun Yat-sen University, Shenzhen 518107, China.
| | - Ziming Yu
- School of Biomedical Engineering, Sun Yat-sen University, Shenzhen 518107, China.
| | - Mengxin Zheng
- School of Biomedical Engineering, Sun Yat-sen University, Shenzhen 518107, China.
| | - Wei Yang
- School of Biomedical Engineering, Sun Yat-sen University, Shenzhen 518107, China.
| | - Zhangcai Liu
- School of Biomedical Engineering, Sun Yat-sen University, Shenzhen 518107, China.
| | - Jianhua Zhou
- School of Biomedical Engineering, Sun Yat-sen University, Shenzhen 518107, China.
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510275, China
| | - Lu Huang
- School of Biomedical Engineering, Sun Yat-sen University, Shenzhen 518107, China.
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510275, China
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9
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Cardoso BD, Castanheira EMS, Lanceros-Méndez S, Cardoso VF. Recent Advances on Cell Culture Platforms for In Vitro Drug Screening and Cell Therapies: From Conventional to Microfluidic Strategies. Adv Healthc Mater 2023; 12:e2202936. [PMID: 36898671 DOI: 10.1002/adhm.202202936] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 02/27/2023] [Indexed: 03/12/2023]
Abstract
The clinical translations of drugs and nanomedicines depend on coherent pharmaceutical research based on biologically accurate screening approaches. Since establishing the 2D in vitro cell culture method, the scientific community has improved cell-based drug screening assays and models. Those advances result in more informative biochemical assays and the development of 3D multicellular models to describe the biological complexity better and enhance the simulation of the in vivo microenvironment. Despite the overall dominance of conventional 2D and 3D cell macroscopic culture methods, they present physicochemical and operational challenges that impair the scale-up of drug screening by not allowing a high parallelization, multidrug combination, and high-throughput screening. Their combination and complementarity with microfluidic platforms enable the development of microfluidics-based cell culture platforms with unequivocal advantages in drug screening and cell therapies. Thus, this review presents an updated and consolidated view of cell culture miniaturization's physical, chemical, and operational considerations in the pharmaceutical research scenario. It clarifies advances in the field using gradient-based microfluidics, droplet-based microfluidics, printed-based microfluidics, digital-based microfluidics, SlipChip, and paper-based microfluidics. Finally, it presents a comparative analysis of the performance of cell-based methods in life research and development to achieve increased precision in the drug screening process.
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Affiliation(s)
- Beatriz D Cardoso
- Physics Centre of Minho and Porto Universities (CF-UM-UP), Campus de Gualtar, University of Minho, Braga, 4710-057, Portugal
- LaPMET-Laboratory of Physics for Materials and Emergent Technologies, University of Minho, 4710-057, Braga, Portugal
- Center for MicroElectromechanical Systems (CMEMS-UMinho), Campus de Azurém, University of Minho, 4800-058, Guimarães, Portugal
- LABBELS-Associate Laboratory in Biotechnology and Bioengineering and Microelectromechanical Systems, University of Minho, Braga/Guimarães, Portugal
| | - Elisabete M S Castanheira
- Physics Centre of Minho and Porto Universities (CF-UM-UP), Campus de Gualtar, University of Minho, Braga, 4710-057, Portugal
- LaPMET-Laboratory of Physics for Materials and Emergent Technologies, University of Minho, 4710-057, Braga, Portugal
| | - Senentxu Lanceros-Méndez
- Physics Centre of Minho and Porto Universities (CF-UM-UP), Campus de Gualtar, University of Minho, Braga, 4710-057, Portugal
- LaPMET-Laboratory of Physics for Materials and Emergent Technologies, University of Minho, 4710-057, Braga, Portugal
- BCMaterials, Basque Center for Materials, Applications and Nanostructures, UPV/EHU Science Park, Leioa, 48940, Spain
- IKERBASQUE, Basque Foundation for Science, Bilbao, 48009, Spain
| | - Vanessa F Cardoso
- Center for MicroElectromechanical Systems (CMEMS-UMinho), Campus de Azurém, University of Minho, 4800-058, Guimarães, Portugal
- LABBELS-Associate Laboratory in Biotechnology and Bioengineering and Microelectromechanical Systems, University of Minho, Braga/Guimarães, Portugal
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10
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Wu X, Tang D, He Q, Liu L, Jia Z, Tan Y. Research progress of electrode shapes in EWOD-based digital microfluidics. RSC Adv 2023; 13:16815-16827. [PMID: 37283873 PMCID: PMC10240258 DOI: 10.1039/d3ra01817b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 05/25/2023] [Indexed: 06/08/2023] Open
Abstract
Digital microfluidics (DMF) is an innovative technology used for precise manipulation of liquid droplets. This technology has garnered significant attention in both industrial applications and scientific research due to its unique advantages. Among the key components of DMF, the driving electrode plays a role in facilitating droplet generation, transportation, splitting, merging, and mixing. This comprehensive review aims to present an in-depth understanding of the working principle of DMF particularly focusing on the Electrowetting On Dielectric (EWOD) method. Furthermore, it examines the impact of driving electrodes with varying geometries on droplet manipulation. By analyzing and comparing their characteristics, this review offers valuable insights and a fresh perspective on the design and application of driving electrodes in DMF based on the EWOD approach. Lastly, an assessment of the development trend and potential applications of DMF concludes the review, providing an outlook for future prospects in the field.
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Affiliation(s)
- Xingyue Wu
- School of Electrical Engineering, Ultra-fast/Micro-nano Technology and Advanced Laser Manufacturing Key Laboratory of Hunan Province, University of South China Hengyang 421001 China
| | - Dongbao Tang
- School of Electrical Engineering, Ultra-fast/Micro-nano Technology and Advanced Laser Manufacturing Key Laboratory of Hunan Province, University of South China Hengyang 421001 China
| | - Qianpei He
- Department of Comparative Medicine, School of Medicine, University of Washington Seattle WA USA
| | - Luxuan Liu
- School of Electrical Engineering, Ultra-fast/Micro-nano Technology and Advanced Laser Manufacturing Key Laboratory of Hunan Province, University of South China Hengyang 421001 China
| | - Zhaoyuan Jia
- School of Electrical Engineering, Ultra-fast/Micro-nano Technology and Advanced Laser Manufacturing Key Laboratory of Hunan Province, University of South China Hengyang 421001 China
| | - Yuyu Tan
- School of Electrical Engineering, Ultra-fast/Micro-nano Technology and Advanced Laser Manufacturing Key Laboratory of Hunan Province, University of South China Hengyang 421001 China
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11
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Zeng X, Ma Q, Li XK, You LT, Li J, Fu X, You FM, Ren YF. Patient-derived organoids of lung cancer based on organoids-on-a-chip: enhancing clinical and translational applications. Front Bioeng Biotechnol 2023; 11:1205157. [PMID: 37304140 PMCID: PMC10250649 DOI: 10.3389/fbioe.2023.1205157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 05/16/2023] [Indexed: 06/13/2023] Open
Abstract
Lung cancer is one of the most common malignant tumors worldwide, with high morbidity and mortality due to significant individual characteristics and genetic heterogeneity. Personalized treatment is necessary to improve the overall survival rate of the patients. In recent years, the development of patient-derived organoids (PDOs) enables lung cancer diseases to be simulated in the real world, and closely reflects the pathophysiological characteristics of natural tumor occurrence and metastasis, highlighting their great potential in biomedical applications, translational medicine, and personalized treatment. However, the inherent defects of traditional organoids, such as poor stability, the tumor microenvironment with simple components and low throughput, limit their further clinical transformation and applications. In this review, we summarized the developments and applications of lung cancer PDOs and discussed the limitations of traditional PDOs in clinical transformation. Herein, we looked into the future and proposed that organoids-on-a-chip based on microfluidic technology are advantageous for personalized drug screening. In addition, combined with recent advances in lung cancer research, we explored the translational value and future development direction of organoids-on-a-chip in the precision treatment of lung cancer.
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Affiliation(s)
- Xiao Zeng
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Qiong Ma
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Xue-Ke Li
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
- Cancer Institute, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Li-Ting You
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Jia Li
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Xi Fu
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Feng-Ming You
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
- Cancer Institute, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Yi-Feng Ren
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
- Cancer Institute, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
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Tong Z, Shen C, Li Q, Yin H, Mao H. Combining sensors and actuators with electrowetting-on-dielectric (EWOD): advanced digital microfluidic systems for biomedical applications. Analyst 2023; 148:1399-1421. [PMID: 36752059 DOI: 10.1039/d2an01707e] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
Abstract
The concept of digital microfluidics (DMF) enables highly flexible and precise droplet manipulation at a picoliter scale, making DMF a promising approach to realize integrated, miniaturized "lab-on-a-chip" (LOC) systems for research and clinical purposes. Owing to its simplicity and effectiveness, electrowetting-on-dielectric (EWOD) is one of the most commonly studied and applied effects to implement DMF. However, complex biomedical assays usually require more sophisticated sample handling and detection capabilities than basic EWOD manipulation. Alternatively, combined systems integrating EWOD actuators and other fluidic handling techniques are essential for bringing DMF into practical use. In this paper, we briefly review the main approaches for the integration/combination of EWOD with other microfluidic manipulation methods or additional external fields for specified biomedical applications. The form of integration ranges from independently operating sub-systems to fully coupled hybrid actuators. The corresponding biomedical applications of these works are also summarized to illustrate the significance of these innovative combination attempts.
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Affiliation(s)
- Zhaoduo Tong
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China. .,Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Chuanjie Shen
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China. .,Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Qiushi Li
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China.
| | - Hao Yin
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China. .,Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Hongju Mao
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China.
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Ngo H, Amartumur S, Tran VTA, Tran M, Diep YN, Cho H, Lee LP. In Vitro Tumor Models on Chip and Integrated Microphysiological Analysis Platform (MAP) for Life Sciences and High-Throughput Drug Screening. Biosensors (Basel) 2023; 13:231. [PMID: 36831997 PMCID: PMC9954135 DOI: 10.3390/bios13020231] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 01/23/2023] [Accepted: 01/31/2023] [Indexed: 06/18/2023]
Abstract
The evolution of preclinical in vitro cancer models has led to the emergence of human cancer-on-chip or microphysiological analysis platforms (MAPs). Although it has numerous advantages compared to other models, cancer-on-chip technology still faces several challenges such as the complexity of the tumor microenvironment and integrating multiple organs to be widely accepted in cancer research and therapeutics. In this review, we highlight the advancements in cancer-on-chip technology in recapitulating the vital biological features of various cancer types and their applications in life sciences and high-throughput drug screening. We present advances in reconstituting the tumor microenvironment and modeling cancer stages in breast, brain, and other types of cancer. We also discuss the relevance of MAPs in cancer modeling and precision medicine such as effect of flow on cancer growth and the short culture period compared to clinics. The advanced MAPs provide high-throughput platforms with integrated biosensors to monitor real-time cellular responses applied in drug development. We envision that the integrated cancer MAPs has a promising future with regard to cancer research, including cancer biology, drug discovery, and personalized medicine.
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Affiliation(s)
- Huyen Ngo
- Institute of Quantum Biophysics, Sungkyunkwan University, Suwon 16419, Republic of Korea
- Department of Biophysics, Sungkyunkwan University, Suwon 16419, Republic of Korea
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Sarnai Amartumur
- Institute of Quantum Biophysics, Sungkyunkwan University, Suwon 16419, Republic of Korea
- Department of Biophysics, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Van Thi Ai Tran
- Institute of Quantum Biophysics, Sungkyunkwan University, Suwon 16419, Republic of Korea
- Department of Biophysics, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Minh Tran
- Institute of Quantum Biophysics, Sungkyunkwan University, Suwon 16419, Republic of Korea
- Department of Biophysics, Sungkyunkwan University, Suwon 16419, Republic of Korea
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Yen N. Diep
- Institute of Quantum Biophysics, Sungkyunkwan University, Suwon 16419, Republic of Korea
- Department of Biophysics, Sungkyunkwan University, Suwon 16419, Republic of Korea
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Hansang Cho
- Institute of Quantum Biophysics, Sungkyunkwan University, Suwon 16419, Republic of Korea
- Department of Biophysics, Sungkyunkwan University, Suwon 16419, Republic of Korea
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Luke P. Lee
- Institute of Quantum Biophysics, Sungkyunkwan University, Suwon 16419, Republic of Korea
- Department of Medicine, Harvard Medical School, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Department of Bioengineering, University of California at Berkeley, Berkeley, CA 94720, USA
- Department of Electrical Engineering and Computer Science, University of California at Berkeley, Berkeley, CA 94720, USA
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14
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Bourreau C, Treps L, Faure S, Fradin D, Clere N. Therapeutic strategies for non-small cell lung cancer: Experimental models and emerging biomarkers to monitor drug efficacies. Pharmacol Ther 2023; 242:108347. [PMID: 36642389 DOI: 10.1016/j.pharmthera.2023.108347] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 12/15/2022] [Accepted: 01/09/2023] [Indexed: 01/15/2023]
Abstract
While new targeted therapies have considerably changed the treatment and prognosis of non-small cell lung cancer (NSCLC), they are frequently unsuccessful due to primary or acquired resistances. Chemoresistance is a complex process that combines cancer cell intrinsic mechanisms including molecular and genetic abnormalities, aberrant interactions within the tumor microenvironment, and the pharmacokinetic characteristics of each molecule. From a pharmacological point of view, two levers could improve the response to treatment: (i) developing tools to predict the response to chemo- and targeted therapies and (ii) gaining a better understanding of the influence of the tumor microenvironment. Both personalized medicine approaches require the identification of relevant experimental models and biomarkers to understand and fight against chemoresistance mechanisms. After describing the main therapies in NSCLC, the scope of this review will be to identify and to discuss relevant in vitro and ex vivo experimental models that are able to mimic tumors. In addition, the interests of these models in the predictive responses to proposed therapies will be discussed. Finally, this review will evaluate the involvement of novel secreted biomarkers such as tumor DNA or micro RNA in predicting responses to anti-tumor therapies.
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15
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Ray P, Chakraborty R, Banik O, Banoth E, Kumar P. Surface Engineering of a Bioartificial Membrane for Its Application in Bioengineering Devices. ACS Omega 2023; 8:3606-3629. [PMID: 36743049 PMCID: PMC9893455 DOI: 10.1021/acsomega.2c05983] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Accepted: 01/04/2023] [Indexed: 06/18/2023]
Abstract
Membrane technology is playing a crucial role in cutting-edge innovations in the biomedical field. One such innovation is the surface engineering of a membrane for enhanced longevity, efficient separation, and better throughput. Hence, surface engineering is widely used while developing membranes for its use in bioartificial organ development, separation processes, extracorporeal devices, etc. Chemical-based surface modifications are usually performed by functional group/biomolecule grafting, surface moiety modification, and altercation of hydrophilic and hydrophobic properties. Further, creation of micro/nanogrooves, pillars, channel networks, and other topologies is achieved to modify physio-mechanical processes. These surface modifications facilitate improved cellular attachment, directional migration, and communication among the neighboring cells and enhanced diffusional transport of nutrients, gases, and waste across the membrane. These modifications, apart from improving functional efficiency, also help in overcoming fouling issues, biofilm formation, and infection incidences. Multiple strategies are adopted, like lysozyme enzymatic action, topographical modifications, nanomaterial coating, and antibiotic/antibacterial agent doping in the membrane to counter the challenges of biofilm formation, fouling challenges, and microbial invasion. Therefore, in the current review, we have comprehensibly discussed different types of membranes, their fabrication and surface modifications, antifouling/antibacterial strategies, and their applications in bioengineering. Thus, this review would benefit bioengineers and membrane scientists who aim to improve membranes for applications in tissue engineering, bioseparation, extra corporeal membrane devices, wound healing, and others.
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Affiliation(s)
- Pragyan Ray
- BioDesign
and Medical Devices Laboratory, Department of Biotechnology and Medical
Engineering, National Institute of Technology,
Rourkela, Sector-1, Rourkela 769008, Odisha, India
| | - Ruchira Chakraborty
- BioDesign
and Medical Devices Laboratory, Department of Biotechnology and Medical
Engineering, National Institute of Technology,
Rourkela, Sector-1, Rourkela 769008, Odisha, India
| | - Oindrila Banik
- BioDesign
and Medical Devices Laboratory, Department of Biotechnology and Medical
Engineering, National Institute of Technology,
Rourkela, Sector-1, Rourkela 769008, Odisha, India
- Opto-Biomedical
Microsystem Laboratory, Department of Biotechnology and Medical Engineering, National Institute of Technology, Rourkela, Sector-1, Rourkela 769008, Odisha, India
| | - Earu Banoth
- Opto-Biomedical
Microsystem Laboratory, Department of Biotechnology and Medical Engineering, National Institute of Technology, Rourkela, Sector-1, Rourkela 769008, Odisha, India
| | - Prasoon Kumar
- BioDesign
and Medical Devices Laboratory, Department of Biotechnology and Medical
Engineering, National Institute of Technology,
Rourkela, Sector-1, Rourkela 769008, Odisha, India
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16
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Li C, Zhai J, Jia Y. Digital Microfluidics with an On-Chip Drug Dispenser for Single or Combinational Drug Screening. Methods Mol Biol 2023; 2679:25-39. [PMID: 37300607 DOI: 10.1007/978-1-0716-3271-0_3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Rapid and accurate cancer drug screening is of great importance in precision medicine. However, the limited amount of tumor biopsy samples has hindered the application of traditional drug screening methods with microwell plates for individual patients. A microfluidic system provides an ideal platform for handling trace amounts of samples. This emerging platform has a good role in nucleic acid-related and cell related assays. Nevertheless, convenient drug dispensing remains a challenge for clinical on-chip cancer drug screening. Similar sized droplets are merged to add drugs for a desired screened concentration which significantly complicated the on-chip drug dispensing protocols. Here, we introduce a novel digital microfluidic system with a specially structured electrode (a drug dispenser) to dispense drugs by droplet electro-ejection under a high-voltage actuation signal, which can be conveniently adjusted by external electric controls. With this system, the screened drug concentrations span up to four orders of magnitude with small sample consumption. Various amounts of drugs can be delivered to the cell sample with desired amount in a flexible electric control. Moreover, single drug or combinatorial multidrug on-chip screening can be readily achieved. The drug response of normal MCF-10A breast cells and MDA-MB-231 breast tumor cells to two chemotherapeutic substances, cisplatin (Cis) and epirubicin (EP), was tested individually and in combination for proof-of-principle verification. The comparable on-chip and off-chip results confirmed the feasibility of our innovative DMF system for cancer drug screening.
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Affiliation(s)
- Caiwei Li
- State Key Laboratory of Analog- and Mixed-Signal VLSI, Institute of Microelectronics, University of Macau, Macau, China
- Faculty of Science and Technology - DECE, University of Macau, Macau, China
| | - Jiao Zhai
- State Key Laboratory of Analog- and Mixed-Signal VLSI, Institute of Microelectronics, University of Macau, Macau, China
| | - Yanwei Jia
- State Key Laboratory of Analog- and Mixed-Signal VLSI, Institute of Microelectronics, University of Macau, Macau, China.
- Faculty of Science and Technology - DECE, University of Macau, Macau, China.
- Faculty of Health Sciences, University of Macau, Macau, China.
- MoE Frontiers Science Center for Precision Oncology, University of Macau, Macau, China.
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