1
|
Liu F, Gaul L, Giometto A, Wu M. A high throughput array microhabitat platform reveals how light and nitrogen colimit the growth of algal cells. Sci Rep 2024; 14:9860. [PMID: 38684720 PMCID: PMC11058252 DOI: 10.1038/s41598-024-59041-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Accepted: 04/05/2024] [Indexed: 05/02/2024] Open
Abstract
A mechanistic understanding of algal growth is essential for maintaining a sustainable environment in an era of climate change and population expansion. It is known that algal growth is tightly controlled by complex interactive physical and chemical conditions. Many mathematical models have been proposed to describe the relation of algal growth and environmental parameters, but experimental verification has been difficult due to the lack of tools to measure cell growth under precise physical and chemical conditions. As such, current models depend on the specific testing systems, and the fitted growth kinetic constants vary widely for the same organisms in the existing literature. Here, we present a microfluidic platform where both light intensity and nutrient gradients can be well controlled for algal cell growth studies. In particular, light shading is avoided, a common problem in macroscale assays. Our results revealed that light and nitrogen colimit the growth of algal cells, with each contributing a Monod growth kinetic term in a multiplicative model. We argue that the microfluidic platform can lead towards a general culture system independent algal growth model with systematic screening of many environmental parameters. Our work advances technology for algal cell growth studies and provides essential information for future bioreactor designs and ecological predictions.
Collapse
Affiliation(s)
- Fangchen Liu
- Department of Biological and Environmental Engineering, Cornell University, Ithaca, NY, USA
| | - Larissa Gaul
- Department of Biological and Environmental Engineering, Cornell University, Ithaca, NY, USA
| | - Andrea Giometto
- School of Civil and Environmental Engineering, Cornell University, Ithaca, NY, USA.
| | - Mingming Wu
- Department of Biological and Environmental Engineering, Cornell University, Ithaca, NY, USA.
| |
Collapse
|
2
|
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.
Collapse
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
| |
Collapse
|
3
|
Qing LS, Wang TT, Luo HY, Du JL, Wang RY, Luo P. Microfluidic strategies for natural products in drug discovery: Current status and future perspectives. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2022.116832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
|
4
|
Micro/nanofluidic devices for drug delivery. PROGRESS IN MOLECULAR BIOLOGY AND TRANSLATIONAL SCIENCE 2022; 187:9-39. [PMID: 35094782 DOI: 10.1016/bs.pmbts.2021.07.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Micro/nanofluidic drug delivery systems have attracted significant attention as they offer unique advantages in targeted and controlled drug delivery. Based on the desired application, these systems can be categorized into three different groups: in vitro, in situ and in vivo microfluidic drug delivery platforms. In vitro microfluidic drug delivery platforms are closely linked with the emerging concept of lab-on-a-chip for cell culture studies. These systems can be used to administer drugs or therapeutic agents, mostly at the cellular or tissue level, to find the therapeutic index and can potentially be used for personalized medicine. In situ and in vivo microfluidic drug delivery platforms are still at the developmental stage and can be used for drug delivery at tissue or organ levels. A famous example of these systems are microneedles that can be used for painless and controllable delivery of drugs or vaccines through human skin. This chapter presents the cutting edge advances in the design and fabrication of in vitro microfluidic drug delivery systems that can be used for both cellular and tissue drug delivery. It also briefly discusses the in situ drug delivery platforms using microneedles.
Collapse
|
5
|
Li L, Chen Y, Wang H, An G, Wu H, Huang W. A high-throughput, open-space and reusable microfluidic chip for combinational drug screening on tumor spheroids. LAB ON A CHIP 2021; 21:3924-3932. [PMID: 34636818 DOI: 10.1039/d1lc00525a] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Screening drug combinations using tumor spheroids can play a vital role in the development of disease treatment and personalized medicine. However, current studies focus on drug gradients or combinations of two drugs in most cases, and it is difficult to find complex therapeutic combinations involving more drugs. The use of design-of-experiment (DOE) microfluidics is a potential strategy to study this area systematically. Here we develop a high-throughput, open-space multilayered PMMA microfluidic chip for combinational drug screening on tumor spheroids. This microchip is straightforward to fabricate, compatible with standard spheroid cultures, and friendly for end-users. The device consists of an inlet layer and multiple dispersing layers. In the inlet layer, different samples can be loaded into the chip simultaneously. The sample solutions flow into the dispersing layers to generate various combinations based on the specific DOE principle. We demonstrated that the chip performance is in quantitative agreement with the design, using water and doxycycline combinations as models. As a proof-of-concept study, we constructed a HeLa reporter cell line to quantify the autophagy of tumor spheroids and used the chip to identify critical factors relating to the growth of the spheroids. Specifically, we used L-glutamine, D-glucose, FBS, and cisplatin as the factors and studied the autophagy, growth curves, and spheroid sizes in response to different combinations of the four factors. We found that D-glucose can inhibit the effects of cisplatin on tumor spheroids, and cisplatin caused severe autophagy in 3D tumor spheroids compared to 2D monoculture cells. Our method has the potential to allow more drug combinations to be examined, and it can be extended to DOE approaches with seven or more inputs.
Collapse
Affiliation(s)
- Lijun Li
- Department of Chemistry, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, 999077, Hong Kong, China.
- Department of Biology, Southern University of Science and Technology, Shenzhen, 518055, Guangdong, China.
| | - Yan Chen
- Department of Biology, Southern University of Science and Technology, Shenzhen, 518055, Guangdong, China.
| | - Huirong Wang
- Department of Biology, Southern University of Science and Technology, Shenzhen, 518055, Guangdong, China.
| | - Geng An
- Department of Obstetrics and Gynecology, Center for Reproductive Medicine, Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, Guangdong, China
| | - Hongkai Wu
- Department of Chemistry, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, 999077, Hong Kong, China.
- The Hong Kong University of Science and Technology Shenzhen Research Institute, Shenzhen, 518057, Guangdong, China
| | - Wei Huang
- Department of Biology, Southern University of Science and Technology, Shenzhen, 518055, Guangdong, China.
| |
Collapse
|
6
|
Wang B, Warden AR, Ding X. The optimization of combinatorial drug therapies: Strategies and laboratorial platforms. Drug Discov Today 2021; 26:2646-2659. [PMID: 34332097 DOI: 10.1016/j.drudis.2021.07.023] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Revised: 06/19/2021] [Accepted: 07/14/2021] [Indexed: 12/26/2022]
Abstract
Designing optimal combinatorial drug therapies is challenging, because the drug interactions depend not only on the drugs involved, but also on their doses. With recent advances, combinatorial drug therapy is closer than ever to clinical application. Herein, we summarize approaches and advances over the past decade for identifying and optimizing drug combination therapies, with innovations across research fields, covering physical laboratory platforms for combination screening to computational models and algorithms designed for synergism prediction and optimization. By comparing different types of approach, we detail a three-step workflow that could maximize the overall optimization efficiency, thus enabling the application of personalized optimization of combinatorial drug therapy.
Collapse
Affiliation(s)
- Boqian Wang
- Institute for Personalized Medicine, State Key Laboratory of Oncogenes and Related Genes, School of Biomedical Engineering, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, PR China
| | - Antony R Warden
- Institute for Personalized Medicine, State Key Laboratory of Oncogenes and Related Genes, School of Biomedical Engineering, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, PR China
| | - Xianting Ding
- Institute for Personalized Medicine, State Key Laboratory of Oncogenes and Related Genes, School of Biomedical Engineering, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, PR China.
| |
Collapse
|
7
|
Kilinc D, Vreulx AC, Mendes T, Flaig A, Marques-Coelho D, Verschoore M, Demiautte F, Amouyel P, Eysert F, Dourlen P, Chapuis J, Costa MR, Malmanche N, Checler F, Lambert JC. Pyk2 overexpression in postsynaptic neurons blocks amyloid β 1-42-induced synaptotoxicity in microfluidic co-cultures. Brain Commun 2020; 2:fcaa139. [PMID: 33718872 PMCID: PMC7941669 DOI: 10.1093/braincomms/fcaa139] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Revised: 07/12/2020] [Accepted: 08/03/2020] [Indexed: 01/06/2023] Open
Abstract
Recent meta-analyses of genome-wide association studies identified a number of genetic risk factors of Alzheimer's disease; however, little is known about the mechanisms by which they contribute to the pathological process. As synapse loss is observed at the earliest stage of Alzheimer's disease, deciphering the impact of Alzheimer's risk genes on synapse formation and maintenance is of great interest. In this article, we report a microfluidic co-culture device that physically isolates synapses from pre- and postsynaptic neurons and chronically exposes them to toxic amyloid β peptides secreted by model cell lines overexpressing wild-type or mutated (V717I) amyloid precursor protein. Co-culture with cells overexpressing mutated amyloid precursor protein exposed the synapses of primary hippocampal neurons to amyloid β1-42 molecules at nanomolar concentrations and induced a significant decrease in synaptic connectivity, as evidenced by distance-based assignment of postsynaptic puncta to presynaptic puncta. Treating the cells with antibodies that target different forms of amyloid β suggested that low molecular weight oligomers are the likely culprit. As proof of concept, we demonstrate that overexpression of protein tyrosine kinase 2 beta-an Alzheimer's disease genetic risk factor involved in synaptic plasticity and shown to decrease in Alzheimer's disease brains at gene expression and protein levels-selectively in postsynaptic neurons is protective against amyloid β1-42-induced synaptotoxicity. In summary, our lab-on-a-chip device provides a physiologically relevant model of Alzheimer's disease-related synaptotoxicity, optimal for assessing the impact of risk genes in pre- and postsynaptic compartments.
Collapse
Affiliation(s)
- Devrim Kilinc
- Université de Lille, Institut Pasteur de Lille, CHU Lille, INSERM U1167, LabEx DISTALZ, Lille 59019, France
| | - Anaïs-Camille Vreulx
- Université de Lille, Institut Pasteur de Lille, CHU Lille, INSERM U1167, LabEx DISTALZ, Lille 59019, France
| | - Tiago Mendes
- Université de Lille, Institut Pasteur de Lille, CHU Lille, INSERM U1167, LabEx DISTALZ, Lille 59019, France
| | - Amandine Flaig
- Université de Lille, Institut Pasteur de Lille, CHU Lille, INSERM U1167, LabEx DISTALZ, Lille 59019, France
| | - Diego Marques-Coelho
- Brain Institute, Federal University of Rio Grande do Norte, Natal 59056-450, Brazil
| | - Maxime Verschoore
- Université de Lille, Institut Pasteur de Lille, CHU Lille, INSERM U1167, LabEx DISTALZ, Lille 59019, France
| | - Florie Demiautte
- Université de Lille, Institut Pasteur de Lille, CHU Lille, INSERM U1167, LabEx DISTALZ, Lille 59019, France
| | - Philippe Amouyel
- Université de Lille, Institut Pasteur de Lille, CHU Lille, INSERM U1167, LabEx DISTALZ, Lille 59019, France
| | | | - Fanny Eysert
- Université de Lille, Institut Pasteur de Lille, CHU Lille, INSERM U1167, LabEx DISTALZ, Lille 59019, France
| | - Pierre Dourlen
- Université de Lille, Institut Pasteur de Lille, CHU Lille, INSERM U1167, LabEx DISTALZ, Lille 59019, France
| | - Julien Chapuis
- Université de Lille, Institut Pasteur de Lille, CHU Lille, INSERM U1167, LabEx DISTALZ, Lille 59019, France
| | - Marcos R Costa
- Université de Lille, Institut Pasteur de Lille, CHU Lille, INSERM U1167, LabEx DISTALZ, Lille 59019, France
| | - Nicolas Malmanche
- Université de Lille, Institut Pasteur de Lille, CHU Lille, INSERM U1167, LabEx DISTALZ, Lille 59019, France
| | - Frédéric Checler
- CNRS UMR7275 Laboratory of Excellence "Distalz", IPMC, Université Côte d'Azur, Inserm, Valbonne 06560, France
| | - Jean-Charles Lambert
- Université de Lille, Institut Pasteur de Lille, CHU Lille, INSERM U1167, LabEx DISTALZ, Lille 59019, France
| |
Collapse
|
8
|
Del Favero G, Kraegeloh A. Integrating Biophysics in Toxicology. Cells 2020; 9:E1282. [PMID: 32455794 PMCID: PMC7290780 DOI: 10.3390/cells9051282] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Revised: 05/10/2020] [Accepted: 05/15/2020] [Indexed: 12/20/2022] Open
Abstract
Integration of biophysical stimulation in test systems is established in diverse branches of biomedical sciences including toxicology. This is largely motivated by the need to create novel experimental setups capable of reproducing more closely in vivo physiological conditions. Indeed, we face the need to increase predictive power and experimental output, albeit reducing the use of animals in toxicity testing. In vivo, mechanical stimulation is essential for cellular homeostasis. In vitro, diverse strategies can be used to model this crucial component. The compliance of the extracellular matrix can be tuned by modifying the stiffness or through the deformation of substrates hosting the cells via static or dynamic strain. Moreover, cells can be cultivated under shear stress deriving from the movement of the extracellular fluids. In turn, introduction of physical cues in the cell culture environment modulates differentiation, functional properties, and metabolic competence, thus influencing cellular capability to cope with toxic insults. This review summarizes the state of the art of integration of biophysical stimuli in model systems for toxicity testing, discusses future challenges, and provides perspectives for the further advancement of in vitro cytotoxicity studies.
Collapse
Affiliation(s)
- Giorgia Del Favero
- Department of Food Chemistry and Toxicology, Faculty of Chemistry, University of Vienna, Währinger Straße 38-40, 1090 Vienna, Austria
- Core Facility Multimodal Imaging, Faculty of Chemistry, University of Vienna Währinger Straße 38-40, 1090 Vienna, Austria
| | - Annette Kraegeloh
- INM—Leibniz-Institut für Neue Materialien GmbH, Campus D2 2, 66123 Saarbrücken, Germany;
| |
Collapse
|
9
|
A tool for designing tree-like concentration gradient generators for lab-on-a-chip applications. Chem Eng Sci 2020. [DOI: 10.1016/j.ces.2019.115339] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
|
10
|
Shen S, Zhang X, Zhang F, Wang D, Long D, Niu Y. Three-gradient constructions in a flow-rate insensitive microfluidic system for drug screening towards personalized treatment. Talanta 2020; 208:120477. [DOI: 10.1016/j.talanta.2019.120477] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Revised: 10/12/2019] [Accepted: 10/15/2019] [Indexed: 12/16/2022]
|
11
|
Blasiak A, Khong J, Kee T. CURATE.AI: Optimizing Personalized Medicine with Artificial Intelligence. SLAS Technol 2019; 25:95-105. [PMID: 31771394 DOI: 10.1177/2472630319890316] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
The clinical team attending to a patient upon a diagnosis is faced with two main questions: what treatment, and at what dose? Clinical trials' results provide the basis for guidance and support for official protocols that clinicians use to base their decisions upon. However, individuals rarely demonstrate the reported response from relevant clinical trials, often the average from a group representing a population or subpopulation. The decision complexity increases with combination treatments where drugs administered together can interact with each other, which is often the case. Additionally, the individual's response to the treatment varies over time with the changes in his or her condition, whether via the indication or physiology. In practice, the drug and the dose selection depend greatly on the medical protocol of the healthcare provider and the medical team's experience. As such, the results are inherently varied and often suboptimal. Big data approaches have emerged as an excellent decision-making support tool, but their application is limited by multiple challenges, the main one being the availability of sufficiently big datasets with good quality, representative information. An alternative approach-phenotypic personalized medicine (PPM)-finds an appropriate drug combination (quadratic phenotypic optimization platform [QPOP]) and an appropriate dosing strategy over time (CURATE.AI) based on small data collected exclusively from the treated individual. PPM-based approaches have demonstrated superior results over the current standard of care. The side effects are limited while the desired output is maximized, which directly translates into improving the length and quality of individuals' lives.
Collapse
Affiliation(s)
- Agata Blasiak
- Department of Bioengineering, National University of Singapore, Singapore.,The N.1 Institute for Health (N.1), National University of Singapore, Singapore
| | - Jeffrey Khong
- Department of Bioengineering, National University of Singapore, Singapore.,The N.1 Institute for Health (N.1), National University of Singapore, Singapore
| | - Theodore Kee
- Department of Bioengineering, National University of Singapore, Singapore.,The N.1 Institute for Health (N.1), National University of Singapore, Singapore
| |
Collapse
|
12
|
Li Y, Xuan J, Hu R, Zhang P, Lou X, Yang Y. Microfluidic triple-gradient generator for efficient screening of chemical space. Talanta 2019; 204:569-575. [PMID: 31357335 DOI: 10.1016/j.talanta.2019.06.018] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2019] [Revised: 05/27/2019] [Accepted: 06/06/2019] [Indexed: 12/22/2022]
Abstract
Generation of a combinatorial gradient for multiple chemicals is essential for studies of biochemical stimuli, chemoattraction, protein crystallization and others. While currently available platforms require complex design/settings to obtain a double-gradient chemical matrix, we herein report for the first time a simple triple-gradient matrix (TGM) device for efficient screening of chemical space. The TGM device is composed of two glass slides and works following the concept of SlipChip. The device utilizes XYZ space to distribute three chemicals and establishes a chemical gradient matrix within 5 min. The established matrix contains 24 or 104 screening conditions depending on the device used, which covers a concentration range of [0.117-1, 0.117-1 and 0.686-1] and [0.0830-1, 0.0830-1, 0.686-1] respectively for the three chemicals. With the triple gradients built simultaneously, this TGM device provides order-of-magnitude improvement in screening efficiency over existing single- or double-gradient generators. As a proof of concept, we applied the device to screen the crystallization conditions for two model proteins of lysozyme and trypsin and confirmed the crystal structures using X-ray diffraction. Furthermore, we successfully obtained the crystallization condition of adhesin competence repressor, a protein that senses the alterations in intracellular zinc concentrations. We expect the TGM system to be widely used as an analytical platform for material synthesis and chemical screening beyond for protein crystallization.
Collapse
Affiliation(s)
- Ying Li
- State Key Laboratory of Magnetic Resonance and Atomic Molecular Physics, Wuhan National Laboratory for Optoelectronics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan, Hubei, 430071, China.
| | - Jie Xuan
- Chemistry and Biochemistry Department, Brigham Young University, Provo, UT 84602, USA
| | - Rui Hu
- State Key Laboratory of Magnetic Resonance and Atomic Molecular Physics, Wuhan National Laboratory for Optoelectronics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan, Hubei, 430071, China
| | - Pengchao Zhang
- Houston Methodist Research Institute, Houston, TX, 77030, USA
| | - Xiaohua Lou
- Houston Methodist Research Institute, Houston, TX, 77030, USA
| | - Yunhuang Yang
- State Key Laboratory of Magnetic Resonance and Atomic Molecular Physics, Wuhan National Laboratory for Optoelectronics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan, Hubei, 430071, China.
| |
Collapse
|
13
|
Design keys for paper-based concentration gradient generators. J Chromatogr A 2018; 1561:83-91. [DOI: 10.1016/j.chroma.2018.05.040] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2018] [Revised: 05/15/2018] [Accepted: 05/20/2018] [Indexed: 11/19/2022]
|
14
|
Sibbitts J, Sellens KA, Jia S, Klasner SA, Culbertson CT. Cellular Analysis Using Microfluidics. Anal Chem 2017; 90:65-85. [DOI: 10.1021/acs.analchem.7b04519] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Affiliation(s)
- Jay Sibbitts
- Department
of Chemistry, Kansas State University, Manhattan, Kansas 66506, United States
| | - Kathleen A. Sellens
- Department
of Chemistry, Kansas State University, Manhattan, Kansas 66506, United States
| | - Shu Jia
- Department
of Chemistry, Kansas State University, Manhattan, Kansas 66506, United States
| | - Scott A. Klasner
- 12966
South
State Highway 94, Marthasville, Missouri 63357, United States
| | | |
Collapse
|
15
|
Barata D, Spennati G, Correia C, Ribeiro N, Harink B, van Blitterswijk C, Habibovic P, van Rijt S. Development of a shear stress-free microfluidic gradient generator capable of quantitatively analyzing single-cell morphology. Biomed Microdevices 2017; 19:81. [PMID: 28884359 PMCID: PMC5589786 DOI: 10.1007/s10544-017-0222-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Microfluidics, the science of engineering fluid streams at the micrometer scale, offers unique tools for creating and controlling gradients of soluble compounds. Gradient generation can be used to recreate complex physiological microenvironments, but is also useful for screening purposes. For example, in a single experiment, adherent cells can be exposed to a range of concentrations of the compound of interest, enabling high-content analysis of cell behaviour and enhancing throughput. In this study, we present the development of a microfluidic screening platform where, by means of diffusion, gradients of soluble compounds can be generated and sustained. This platform enables the culture of adherent cells under shear stress-free conditions, and their exposure to a soluble compound in a concentration gradient-wise manner. The platform consists of five serial cell culture chambers, all coupled to two lateral fluid supply channels that are used for gradient generation through a source-sink mechanism. Furthermore, an additional inlet and outlet are used for cell seeding inside the chambers. Finite element modeling was used for the optimization of the design of the platform and for validation of the dynamics of gradient generation. Then, as a proof-of-concept, human osteosarcoma MG-63 cells were cultured inside the platform and exposed to a gradient of Cytochalasin D, an actin polymerization inhibitor. This set-up allowed us to analyze cell morphological changes over time, including cell area and eccentricity measurements, as a function of Cytochalasin D concentration by using fluorescence image-based cytometry.
Collapse
Affiliation(s)
- David Barata
- Department of Tissue Regeneration, MIRA Institute for Biomedical Technology and Technical Medicine, University of Twente, P.O. Box 217, 7500 AE, Enschede, The Netherlands.,Department of Instructive Biomaterials Engineering, MERLN Institute for Technology-Inspired Regenerative Medicine, Maastricht University, P.O. Box 616, 6200, MD, Maastricht, The Netherlands
| | - Giulia Spennati
- Department of Tissue Regeneration, MIRA Institute for Biomedical Technology and Technical Medicine, University of Twente, P.O. Box 217, 7500 AE, Enschede, The Netherlands
| | - Cristina Correia
- Department of Tissue Regeneration, MIRA Institute for Biomedical Technology and Technical Medicine, University of Twente, P.O. Box 217, 7500 AE, Enschede, The Netherlands
| | - Nelson Ribeiro
- Instituto de Engenharia Mecânica, Laboratório Associado de Energia, Transportes e Aeronáutica, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001, Lisbon, Portugal
| | - Björn Harink
- Department of Tissue Regeneration, MIRA Institute for Biomedical Technology and Technical Medicine, University of Twente, P.O. Box 217, 7500 AE, Enschede, The Netherlands
| | - Clemens van Blitterswijk
- Department of Tissue Regeneration, MIRA Institute for Biomedical Technology and Technical Medicine, University of Twente, P.O. Box 217, 7500 AE, Enschede, The Netherlands.,Department of Complex Tissue Regeneration, MERLN Institute for Technology-Inspired Regenerative Medicine, Maastricht University, P.O. Box 616, 6200, MD, Maastricht, The Netherlands
| | - Pamela Habibovic
- Department of Tissue Regeneration, MIRA Institute for Biomedical Technology and Technical Medicine, University of Twente, P.O. Box 217, 7500 AE, Enschede, The Netherlands.,Department of Instructive Biomaterials Engineering, MERLN Institute for Technology-Inspired Regenerative Medicine, Maastricht University, P.O. Box 616, 6200, MD, Maastricht, The Netherlands
| | - Sabine van Rijt
- Department of Instructive Biomaterials Engineering, MERLN Institute for Technology-Inspired Regenerative Medicine, Maastricht University, P.O. Box 616, 6200, MD, Maastricht, The Netherlands.
| |
Collapse
|
16
|
Sumit M, Takayama S, Linderman JJ. New insights into mammalian signaling pathways using microfluidic pulsatile inputs and mathematical modeling. Integr Biol (Camb) 2017; 9:6-21. [PMID: 27868126 PMCID: PMC5259548 DOI: 10.1039/c6ib00178e] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Temporally modulated input mimics physiology. This chemical communication strategy filters the biochemical noise through entrainment and phase-locking. Under laboratory conditions, it also expands the observability space for downstream responses. A combined approach involving microfluidic pulsatile stimulation and mathematical modeling has led to deciphering of hidden/unknown temporal motifs in several mammalian signaling pathways and has provided mechanistic insights, including how these motifs combine to form distinct band-pass filters and govern fate regulation under dynamic microenvironment. This approach can be utilized to understand signaling circuit architectures and to gain mechanistic insights for several other signaling systems. Potential applications include synthetic biology and biotechnology, in developing pharmaceutical interventions, and in developing lab-on-chip models.
Collapse
Affiliation(s)
- M Sumit
- Biointerface Institute, North Campus Research Complex, University of Michigan, 2800 Plymouth Road, Ann Arbor, MI 48109, USA. and Biophysics Graduate Program, University of Michigan, Ann Arbor, MI 48109, USA
| | - S Takayama
- Biointerface Institute, North Campus Research Complex, University of Michigan, 2800 Plymouth Road, Ann Arbor, MI 48109, USA. and Michigan Centre for Integrative Research in Critical Care, North Campus Research, Complex, University of Michigan, 2800 Plymouth Road, Ann Arbor, MI 48109, USA and Department of Biomedical Engineering, University of Michigan, 1107 Carl A., Gerstacker Building, 2200, Bonisteel Blvd, Ann Arbor, MI 48109, USA and Macromolecular Science and Engineering Program, University of Michigan, 2300, Hayward Street, Ann Arbor, MI 48109, USA
| | - J J Linderman
- Department of Biomedical Engineering, University of Michigan, 1107 Carl A., Gerstacker Building, 2200, Bonisteel Blvd, Ann Arbor, MI 48109, USA and Department of Chemical Engineering, University of Michigan, Building 26, 2800 Plymouth Road, Ann Arbor, MI 48109, USA.
| |
Collapse
|
17
|
Multi-parametric imaging of cell heterogeneity in apoptosis analysis. Methods 2017; 112:105-123. [DOI: 10.1016/j.ymeth.2016.07.003] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2016] [Revised: 06/14/2016] [Accepted: 07/05/2016] [Indexed: 12/13/2022] Open
|
18
|
Ha JH, Kim TH, Lee JM, Ahrberg CD, Chung BG. Analysis of 3D multi-layer microfluidic gradient generator. Electrophoresis 2016; 38:270-277. [DOI: 10.1002/elps.201600443] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2016] [Revised: 10/26/2016] [Accepted: 10/27/2016] [Indexed: 12/23/2022]
Affiliation(s)
- Jang Ho Ha
- Department of Mechanical Engineering; Sogang University; Seoul Korea
| | - Tae Hyeon Kim
- Department of Mechanical Engineering; Sogang University; Seoul Korea
| | - Jong Min Lee
- Department of Mechanical Engineering; Sogang University; Seoul Korea
| | | | - Bong Geun Chung
- Department of Mechanical Engineering; Sogang University; Seoul Korea
| |
Collapse
|
19
|
Lee HU, Nag S, Blasiak A, Jin Y, Thakor N, Yang IH. Subcellular Optogenetic Stimulation for Activity-Dependent Myelination of Axons in a Novel Microfluidic Compartmentalized Platform. ACS Chem Neurosci 2016; 7:1317-1324. [PMID: 27570883 DOI: 10.1021/acschemneuro.6b00157] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Myelination is governed by neuron-glia communication, which in turn is modulated by neural activity. The exact mechanisms remain elusive. We developed a novel in vitro optogenetic stimulation platform that facilitates subcellular activity induction in hundreds of neurons simultaneously. The light isolation was achieved by creating a biocompatible, light-absorbent, black microfluidic device integrated with a programmable, high-power LED array. The system was applied to a compartmentalized culture of primary neurons whose distal axons were interacting with oligodendrocyte precursor cells. Neural activity was induced along whole neurons or was constrained to cell bodies with proximal axons or distal axons only. All three modes of stimulation promoted oligodendrocyte differentiation and the myelination of axons as evidenced by a decrease in the number of oligodendrocyte precursor cells followed by increases in the number of mature oligodendrocytes and myelin sheath fragments. These results demonstrated the potential of our novel optogenetic stimulation system for the global and focal induction of neural activity in vitro for studying axon myelination.
Collapse
Affiliation(s)
- Hae Ung Lee
- Singapore
Institute for Neurotechnology, National University of Singapore, Singapore 119077
| | - Sudip Nag
- Singapore
Institute for Neurotechnology, National University of Singapore, Singapore 119077
| | - Agata Blasiak
- Singapore
Institute for Neurotechnology, National University of Singapore, Singapore 119077
| | - Yan Jin
- Singapore
Institute for Neurotechnology, National University of Singapore, Singapore 119077
| | - Nitish Thakor
- Singapore
Institute for Neurotechnology, National University of Singapore, Singapore 119077
- Department
of Biomedical Engineering, School of Medicine, Johns Hopkins University, Baltimore, Maryland 21218, United States
| | - In Hong Yang
- Singapore
Institute for Neurotechnology, National University of Singapore, Singapore 119077
- Department
of Biomedical Engineering, School of Medicine, Johns Hopkins University, Baltimore, Maryland 21218, United States
| |
Collapse
|
20
|
Dai J, Hamon M, Jambovane S. Microfluidics for Antibiotic Susceptibility and Toxicity Testing. Bioengineering (Basel) 2016; 3:bioengineering3040025. [PMID: 28952587 PMCID: PMC5597268 DOI: 10.3390/bioengineering3040025] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2016] [Revised: 09/30/2016] [Accepted: 09/30/2016] [Indexed: 12/23/2022] Open
Abstract
The recent emergence of antimicrobial resistance has become a major concern for worldwide policy makers as very few new antibiotics have been developed in the last twenty-five years. To prevent the death of millions of people worldwide, there is an urgent need for a cheap, fast and accurate set of tools and techniques that can help to discover and develop new antimicrobial drugs. In the past decade, microfluidic platforms have emerged as potential systems for conducting pharmacological studies. Recent studies have demonstrated that microfluidic platforms can perform rapid antibiotic susceptibility tests to evaluate antimicrobial drugs’ efficacy. In addition, the development of cell-on-a-chip and organ-on-a-chip platforms have enabled the early drug testing, providing more accurate insights into conventional cell cultures on the drug pharmacokinetics and toxicity, at the early and cheaper stage of drug development, i.e., prior to animal and human testing. In this review, we focus on the recent developments of microfluidic platforms for rapid antibiotics susceptibility testing, investigating bacterial persistence and non-growing but metabolically active (NGMA) bacteria, evaluating antibiotic effectiveness on biofilms and combinatorial effect of antibiotics, as well as microfluidic platforms that can be used for in vitro antibiotic toxicity testing.
Collapse
Affiliation(s)
- Jing Dai
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA.
| | - Morgan Hamon
- Renal Regeneration Laboratory, VAGLAHS at Sepulveda, North Hills, CA 91343, USA.
- David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA 90095, USA.
| | - Sachin Jambovane
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory (PNNL), Richland, WA 99354, USA.
| |
Collapse
|
21
|
Oliveira AF, Pessoa ACSN, Bastos RG, de la Torre LG. Microfluidic tools toward industrial biotechnology. Biotechnol Prog 2016; 32:1372-1389. [DOI: 10.1002/btpr.2350] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2016] [Revised: 08/15/2016] [Indexed: 01/29/2023]
Affiliation(s)
- Aline F. Oliveira
- Department of Bioprocesses and Materials Engineering, School of Chemical Engineering, University of Campinas; 500 Albert Einstein avenue Campinas P.O. Box 6066
| | - Amanda C. S. N. Pessoa
- Department of Bioprocesses and Materials Engineering, School of Chemical Engineering, University of Campinas; 500 Albert Einstein avenue Campinas P.O. Box 6066
| | - Reinaldo G. Bastos
- Department of Agroindustrial Technology and Rural Socioeconomy, Center of Agricultural Sciences, Federal University of São Carlos; Km 174 Anhanguera Highway Araras P.O. Box 153
| | - Lucimara G. de la Torre
- Department of Bioprocesses and Materials Engineering, School of Chemical Engineering, University of Campinas; 500 Albert Einstein avenue Campinas P.O. Box 6066
| |
Collapse
|