1
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Breukers J, Ven K, Struyfs C, Ampofo L, Rutten I, Imbrechts M, Pollet F, Van Lent J, Kerstens W, Noppen S, Schols D, De Munter P, Thibaut HJ, Vanhoorelbeke K, Spasic D, Declerck P, Cammue BPA, Geukens N, Thevissen K, Lammertyn J. FLUIDOT: A Modular Microfluidic Platform for Single-Cell Study and Retrieval, with Applications in Drug Tolerance Screening and Antibody Mining. SMALL METHODS 2023; 7:e2201477. [PMID: 36642827 DOI: 10.1002/smtd.202201477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 12/21/2022] [Indexed: 06/17/2023]
Abstract
Advancements in lab-on-a-chip technologies have revolutionized the single-cell analysis field. However, an accessible platform for in-depth screening and specific retrieval of single cells, which moreover enables studying diverse cell types and performing various downstream analyses, is still lacking. As a solution, FLUIDOT is introduced, a versatile microfluidic platform incorporating customizable microwells, optical tweezers and an interchangeable cell-retrieval system. Thanks to its smart microfluidic design, FLUIDOT is straightforward to fabricate and operate, rendering the technology widely accessible. The performance of FLUIDOT is validated and its versatility is subsequently demonstrated in two applications. First, drug tolerance in yeast cells is studied, resulting in the discovery of two treatment-tolerant populations. Second, B cells from convalescent COVID-19 patients are screened, leading to the discovery of highly affine, in vitro neutralizing monoclonal antibodies against SARS-CoV-2. Owing to its performance, flexibility, and accessibility, it is foreseen that FLUIDOT will enable phenotypic and genotypic analysis of diverse cell samples and thus elucidate unexplored biological questions.
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Affiliation(s)
- Jolien Breukers
- Department of Biosystems, Biosensors group, KU Leuven, Willem de Croylaan 42, Leuven, 3001, Belgium
- LISCO, KU Leuven Institute for Single Cell Omics, ON4 Herestraat 49, Leuven, 3000, Belgium
| | - Karen Ven
- Department of Biosystems, Biosensors group, KU Leuven, Willem de Croylaan 42, Leuven, 3001, Belgium
- LISCO, KU Leuven Institute for Single Cell Omics, ON4 Herestraat 49, Leuven, 3000, Belgium
- MabMine: KU Leuven Single B Cell Mining Platform, KU Leuven, ON2 Herestraat 49, 3000, Leuven, Belgium
| | - Caroline Struyfs
- Centre of Microbial and Plant Genetics, KU Leuven, Kasteelpark Arenberg 20, Leuven, 3001, Belgium
| | - Louanne Ampofo
- Department of Biosystems, Biosensors group, KU Leuven, Willem de Croylaan 42, Leuven, 3001, Belgium
- MabMine: KU Leuven Single B Cell Mining Platform, KU Leuven, ON2 Herestraat 49, 3000, Leuven, Belgium
- PharmAbs, The KU Leuven Antibody Center, KU Leuven, ON 2 Herestraat 49, Leuven, 3000, Belgium
- Laboratory for Therapeutic and Diagnostic Antibodies, KU Leuven, ON2 Herestraat 49, Leuven, 3000, Belgium
| | - Iene Rutten
- Department of Biosystems, Biosensors group, KU Leuven, Willem de Croylaan 42, Leuven, 3001, Belgium
- LISCO, KU Leuven Institute for Single Cell Omics, ON4 Herestraat 49, Leuven, 3000, Belgium
| | - Maya Imbrechts
- MabMine: KU Leuven Single B Cell Mining Platform, KU Leuven, ON2 Herestraat 49, 3000, Leuven, Belgium
- PharmAbs, The KU Leuven Antibody Center, KU Leuven, ON 2 Herestraat 49, Leuven, 3000, Belgium
- Laboratory for Therapeutic and Diagnostic Antibodies, KU Leuven, ON2 Herestraat 49, Leuven, 3000, Belgium
| | - Francesca Pollet
- Department of Biosystems, Biosensors group, KU Leuven, Willem de Croylaan 42, Leuven, 3001, Belgium
| | - Julie Van Lent
- Department of Biosystems, Biosensors group, KU Leuven, Willem de Croylaan 42, Leuven, 3001, Belgium
| | - Winnie Kerstens
- Translational Platform Virology and Chemotherapy, Rega Institute, KU Leuven, Rega - Herestraat 49, Leuven, 3000, Belgium
| | - Sam Noppen
- Laboratory of Virology and Chemotherapy, Rega Institute, KU Leuven, Rega - Herestraat 49, Leuven, 3000, Belgium
| | - Dominique Schols
- Laboratory of Virology and Chemotherapy, Rega Institute, KU Leuven, Rega - Herestraat 49, Leuven, 3000, Belgium
| | - Paul De Munter
- Department of Internal Medicine, University Hospitals Leuven, UZ Herestraat 49, Leuven, 3000, Belgium
- Laboratory for Clinical Infectious and Inflammatory Disorders, KU Leuven, UZ Herestraat 49, Leuven, 3000, Belgium
| | - Hendrik Jan Thibaut
- Translational Platform Virology and Chemotherapy, Rega Institute, KU Leuven, Rega - Herestraat 49, Leuven, 3000, Belgium
| | - Karen Vanhoorelbeke
- MabMine: KU Leuven Single B Cell Mining Platform, KU Leuven, ON2 Herestraat 49, 3000, Leuven, Belgium
- PharmAbs, The KU Leuven Antibody Center, KU Leuven, ON 2 Herestraat 49, Leuven, 3000, Belgium
- Laboratory for Thrombosis Research, KU Leuven Campus Kulak Kortrijk, Etienne Sabbelaan 53, Kortrijk, 8500, Belgium
| | - Dragana Spasic
- Department of Biosystems, Biosensors group, KU Leuven, Willem de Croylaan 42, Leuven, 3001, Belgium
| | - Paul Declerck
- MabMine: KU Leuven Single B Cell Mining Platform, KU Leuven, ON2 Herestraat 49, 3000, Leuven, Belgium
- PharmAbs, The KU Leuven Antibody Center, KU Leuven, ON 2 Herestraat 49, Leuven, 3000, Belgium
- Laboratory for Therapeutic and Diagnostic Antibodies, KU Leuven, ON2 Herestraat 49, Leuven, 3000, Belgium
| | - Bruno P A Cammue
- Centre of Microbial and Plant Genetics, KU Leuven, Kasteelpark Arenberg 20, Leuven, 3001, Belgium
| | - Nick Geukens
- MabMine: KU Leuven Single B Cell Mining Platform, KU Leuven, ON2 Herestraat 49, 3000, Leuven, Belgium
- PharmAbs, The KU Leuven Antibody Center, KU Leuven, ON 2 Herestraat 49, Leuven, 3000, Belgium
- Laboratory for Therapeutic and Diagnostic Antibodies, KU Leuven, ON2 Herestraat 49, Leuven, 3000, Belgium
| | - Karin Thevissen
- Centre of Microbial and Plant Genetics, KU Leuven, Kasteelpark Arenberg 20, Leuven, 3001, Belgium
| | - Jeroen Lammertyn
- Department of Biosystems, Biosensors group, KU Leuven, Willem de Croylaan 42, Leuven, 3001, Belgium
- LISCO, KU Leuven Institute for Single Cell Omics, ON4 Herestraat 49, Leuven, 3000, Belgium
- MabMine: KU Leuven Single B Cell Mining Platform, KU Leuven, ON2 Herestraat 49, 3000, Leuven, Belgium
- LIMNI, KU Leuven Institute for Micro- and Nanoscale Integration, Celestijnenlaan 200F, Leuven, 3001, Belgium
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2
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Zhang J, Xue J, Luo N, Chen F, Chen B, Zhao Y. Microwell array chip-based single-cell analysis. LAB ON A CHIP 2023; 23:1066-1079. [PMID: 36625143 DOI: 10.1039/d2lc00667g] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Single-cell profiling is key to uncover the cellular heterogeneity and drives deep understanding of cell fate. In recent years, microfluidics has become an ideal tool for single-cell profiling owing to its benefits of high throughput and automation. Among various microfluidic platforms, microwell has the advantages of simple operation and easy integration with in situ analysis ability, making it an ideal technique for single-cell studies. Herein, recent advances of single-cell analysis based on microwell array chips are summarized. We first introduce the design and preparation of different microwell chips. Then microwell-based cell capture and lysis strategies are discussed. We finally focus on advanced microwell-based analysis of single-cell proteins, nucleic acids, and metabolites. The challenges and opportunities for the development of microwell-based single-cell analysis are also presented.
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Affiliation(s)
- Jin Zhang
- Institute of Analytical Chemistry and Instrument for Life Science, The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, P. R. China.
| | - Jing Xue
- Institute of Analytical Chemistry and Instrument for Life Science, The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, P. R. China.
| | - Ningfeng Luo
- Institute of Analytical Chemistry and Instrument for Life Science, The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, P. R. China.
| | - Feng Chen
- Institute of Analytical Chemistry and Instrument for Life Science, The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, P. R. China.
| | - Badong Chen
- Institute of Artificial Intelligence and Robotics and the College of Artificial Intelligence, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, P. R. China.
| | - Yongxi Zhao
- Institute of Analytical Chemistry and Instrument for Life Science, The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, P. R. China.
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3
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Xie H, Ding X. The Intriguing Landscape of Single-Cell Protein Analysis. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2022; 9:e2105932. [PMID: 35199955 PMCID: PMC9036017 DOI: 10.1002/advs.202105932] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 01/27/2022] [Indexed: 05/15/2023]
Abstract
Profiling protein expression at single-cell resolution is essential for fundamental biological research (such as cell differentiation and tumor microenvironmental examination) and clinical precision medicine where only a limited number of primary cells are permitted. With the recent advances in engineering, chemistry, and biology, single-cell protein analysis methods are developed rapidly, which enable high-throughput and multiplexed protein measurements in thousands of individual cells. In combination with single cell RNA sequencing and mass spectrometry, single-cell multi-omics analysis can simultaneously measure multiple modalities including mRNAs, proteins, and metabolites in single cells, and obtain a more comprehensive exploration of cellular signaling processes, such as DNA modifications, chromatin accessibility, protein abundance, and gene perturbation. Here, the recent progress and applications of single-cell protein analysis technologies in the last decade are summarized. Current limitations, challenges, and possible future directions in this field are also discussed.
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Affiliation(s)
- Haiyang Xie
- State Key Laboratory of Oncogenes and Related GenesInstitute for Personalized MedicineSchool of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200030China
| | - Xianting Ding
- State Key Laboratory of Oncogenes and Related GenesInstitute for Personalized MedicineSchool of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai200030China
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4
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Jia Z, Yuan H, Zhao X, Yin J, Cong H, Gao W, Jin Q, Jia C, Zhao J. Single-cell genetic analysis of lung tumor cells based on self-driving micro-cavity array chip. Talanta 2021; 226:122172. [PMID: 33676714 DOI: 10.1016/j.talanta.2021.122172] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 01/25/2021] [Accepted: 01/28/2021] [Indexed: 11/24/2022]
Abstract
Lung cancer is one of the common malignant tumors with a high incidence and mortality rate. Targeted therapies are efficient on lung cancer patients with specific gene mutations. Circulating tumor cells (CTCs) are used for liquid biopsy, providing genetic information for lung cancer treatment selection and prognosis. We developed a less costly self-driving micro-cavity array for simple molecular analysis at a single cell level to examine the genetic make-up of CTCs. This chip integrated sample detection structure and vacuum driving system to achieve cell loading, lysing, isothermal amplification (LAMP), and signal read-out on one chip. We used the "film-polydimethylsiloxane (PDMS) chip-film" structure and oil sealing method during amplification reaction to minimize water loss. We then conducted a LAMP assay using the self-driving device to detect epidermal growth factor receptor (EGFR) L858R mutation and identified an excellent linear in the range between 101-104 copies/μL (R2 = 0.997). We finally assessed the EGFR L858R gene expression of lung tumor cells (H1975 cells) as putative CTCs using the proposed detection platform. We discovered its ability to perform genetic analysis at the single-cell level. The EGFR L858R mutational gene expression levels were different in H1975 cells. In conclusion, the self-driving micro-cavity array is a less costly and simple tool for mutational gene profiling of single lung CTC. Besides, it can be used in personalized therapy and efficacy monitoring.
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Affiliation(s)
- Zhisen Jia
- The Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, Zhejiang, 315211, China; State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China
| | - Haojun Yuan
- The Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, Zhejiang, 315211, China
| | - Xuefei Zhao
- The Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, Zhejiang, 315211, China
| | - Jiawen Yin
- The Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, Zhejiang, 315211, China
| | - Hui Cong
- Center of Laboratory Medicine, Affiliated Hospital of Nantong University, Nantong, Jiangsu, 226000, China
| | - Wanlei Gao
- The Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, Zhejiang, 315211, China; State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China.
| | - Qinghui Jin
- The Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, Zhejiang, 315211, China; State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China.
| | - Chunping Jia
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China.
| | - Jianlong Zhao
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China
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5
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Camargo Moreno M, Lewis JB, Kovacs EJ, Lowery EM. Lung allograft donors with excessive alcohol use have increased levels of human antimicrobial peptide LL-37. Alcohol 2019; 80:109-117. [PMID: 30419299 PMCID: PMC6616019 DOI: 10.1016/j.alcohol.2018.11.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2018] [Revised: 10/08/2018] [Accepted: 11/03/2018] [Indexed: 12/18/2022]
Abstract
The relatively low long-term survival rate of lung transplant recipients as compared to other organ recipients serves as an impetus to identify potential lung dysfunction as early as possible. There is an association between donor heavy alcohol use and acute lung injury in the lung allograft after transplant, known as primary graft dysfunction. Excessive alcohol use (EAU) can induce pulmonary immune dysregulation in response to an infection. Antimicrobial peptides (AMPs) are an important component of the innate immune response to pulmonary infections, but the impact of EAU on AMPs in the allograft lung has not been evaluated. Our hypothesis is that specific lung AMPs, LL-37, α-defensin-1,2,3, and β-defensin-2, are dysregulated in the lungs from organ donors who had EAU. In this prospective observational investigation, we measured AMPs via ELISA and inflammatory cytokines via multiplex bead array, in bronchoalveolar lavage (BAL) fluid of lung allograft donors, comparing results based on their alcohol consumption. LL-37 levels in lung donors with EAU were found to be increased compared to nondrinker (ND) donors [median 7.7 ng/mL (IQR 4.1-37.0) vs. 2.3 ng/mL (IQR 1.1-7.9), p = 0.004], whereas α-defensins-1,2,3 were decreased only in the presence of an infection in donors with EAU compared to ND donors [median 2.2 ng/mL (IQR 1.6-2.4) vs. 3.2 ng/mL (IQR 2.3-3.8), p = 0.049]. There was no difference in β-defensin-2 levels. Gene expression levels of these AMPs were not different. Elevated levels of CXCL8 were noted in bronchial washings of donors with EAU compared to ND donors, [median 4372 pg/mL (IQR 3352-13180) vs. 867.3 pg/mL (IQR 163.6-3675), p = 0.04], suggesting a potentially heightened inflammatory response. At 1 month post-transplant, LL-37 and CXCL8 levels are decreased compared to levels at time of transplant. In lung donors with EAU, LL-37 and α-defensins-1,2,3 dysregulated levels in the presence of an infection may be a harbinger of dysfunction of the lungs through the transplant process.
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Affiliation(s)
- M Camargo Moreno
- Alcohol Research Program, Stritch School of Medicine, Loyola University Chicago Health Sciences Campus, 2160 S. 1st Ave., Maywood, IL, 60153, United States; Burn and Shock Trauma Research Institute, Stritch School of Medicine, Loyola University Health Sciences Campus, 2160 S. 1st Ave., Maywood, IL, 60153, United States
| | - J B Lewis
- Burn and Shock Trauma Research Institute, Stritch School of Medicine, Loyola University Health Sciences Campus, 2160 S. 1st Ave., Maywood, IL, 60153, United States
| | - E J Kovacs
- Department of Surgery, University of Colorado School of Medicine, 12631 E. 17th Avenue, Aurora, CO, 80045, United States; Alcohol Research Program, University of Colorado School of Medicine, 12700 E. 19th Avenue, Aurora, CO, 80045, United States
| | - E M Lowery
- Alcohol Research Program, Stritch School of Medicine, Loyola University Chicago Health Sciences Campus, 2160 S. 1st Ave., Maywood, IL, 60153, United States; Burn and Shock Trauma Research Institute, Stritch School of Medicine, Loyola University Health Sciences Campus, 2160 S. 1st Ave., Maywood, IL, 60153, United States.
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6
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Wang C, Ren L, Liu W, Wei Q, Tan M, Yu Y. Fluorescence quantification of intracellular materials at the single-cell level by an integrated dual-well array microfluidic device. Analyst 2019; 144:2811-2819. [PMID: 30882810 DOI: 10.1039/c9an00153k] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
We present an integrated microfluidic device for quantifying intracellular materials at the single-cell level. This device combines a dual-well structure and a microfluidic control system. The dual-well structure includes capture wells (20 μm in diameter) for trapping a single cell and reaction wells (200 μm in diameter) for confining reagents. The control system enables a programmable procedure for single-cell analysis. This device achieves highly efficient trapping of single cells, overcoming the Poisson distribution, while affording sufficient biochemical reagents for each isolated reactor. We successfully utilized the presented device to monitor the catalytic interaction between intracellular alkaline phosphatase enzyme and a fluorogenic substrate and to quantify the intracellular glucose concentration of a single K562 cell based on an external standard method. The results demonstrate the feasibility and convenience of our dual-well array microfluidic device as a practical single-cell research tool.
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Affiliation(s)
- Chenyu Wang
- State Key Laboratory on Integrated Optoelectronics, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China
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7
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Gao D, Jin F, Zhou M, Jiang Y. Recent advances in single cell manipulation and biochemical analysis on microfluidics. Analyst 2019; 144:766-781. [PMID: 30298867 DOI: 10.1039/c8an01186a] [Citation(s) in RCA: 84] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Single cell analysis has become of great interest with unprecedented capabilities for the systematic investigation of cell-to-cell variation in large populations. Rapid and multi-parametric analysis of intercellular biomolecules at the single-cell level is imperative for the improvement of early disease diagnosis and personalized medicine. However, the small size of cells and the low concentration levels of target biomolecules are critical challenges for single cell analysis. In recent years, microfluidic platforms capable of handling small-volume fluid have been demonstrated to be powerful tools for single cell analysis. In addition, microfluidic techniques allow for precise control of the localized microenvironment, which yield more accurate outcomes. Many different microfluidic techniques have been greatly improved for highly efficient single-cell manipulation and highly sensitive detection over the past few decades. To date, microfluidics-based single cell analysis has become the hot research topic in this field. In this review, we particularly highlight the advances in this field during the past three years in the following three aspects: (1) microfluidic single cell manipulation based on microwells, micropatterns, droplets, traps and flow cytometric methods; (2) detection methods based on fluorescence, mass spectrometry, electrochemical, and polymerase chain reaction-based analysis; (3) applications in the fields of small molecule detection, protein analysis, multidrug resistance analysis, and single cell sequencing with droplet microfluidics. We also discuss future research opportunities by focusing on key performances of throughput, multiparametric target detection and data processing.
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Affiliation(s)
- Dan Gao
- State Key Laboratory of Chemical Oncogenomics, Key Laboratory of Chemical Biology, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, P.R. China.
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8
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Lee SH, Song J, Cho B, Hong S, Hoxha O, Kang T, Kim D, Lee LP. Bubble-free rapid microfluidic PCR. Biosens Bioelectron 2019; 126:725-733. [DOI: 10.1016/j.bios.2018.10.005] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2018] [Revised: 10/03/2018] [Accepted: 10/03/2018] [Indexed: 01/30/2023]
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9
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Song Y, Xu X, Wang W, Tian T, Zhu Z, Yang C. Single cell transcriptomics: moving towards multi-omics. Analyst 2019; 144:3172-3189. [DOI: 10.1039/c8an01852a] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Single-cell multi-omics analysis helps characterize multiple layers of molecular features at a single-cell scale to provide insights into cellular processes and functions.
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Affiliation(s)
- Yanling Song
- Institute of Molecular Medicine
- Renji Hospital
- Shanghai Jiao Tong University
- School of Medicine
- Shanghai
| | - Xing Xu
- State Key Laboratory of Physical Chemistry of Solid Surfaces
- Key Laboratory for Chemical Biology of Fujian Province
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation
- Department of Chemical Biology
- College of Chemistry and Chemical Engineering
| | - Wei Wang
- Institute of Molecular Medicine
- Renji Hospital
- Shanghai Jiao Tong University
- School of Medicine
- Shanghai
| | - Tian Tian
- State Key Laboratory of Physical Chemistry of Solid Surfaces
- Key Laboratory for Chemical Biology of Fujian Province
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation
- Department of Chemical Biology
- College of Chemistry and Chemical Engineering
| | - Zhi Zhu
- State Key Laboratory of Physical Chemistry of Solid Surfaces
- Key Laboratory for Chemical Biology of Fujian Province
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation
- Department of Chemical Biology
- College of Chemistry and Chemical Engineering
| | - Chaoyong Yang
- Institute of Molecular Medicine
- Renji Hospital
- Shanghai Jiao Tong University
- School of Medicine
- Shanghai
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10
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Wang Y, Du R, Qiao L, Liu B. Ultrasensitive profiling of multiple biomarkers from single cells by signal amplification mass spectrometry. Chem Commun (Camb) 2018; 54:9659-9662. [PMID: 30101261 DOI: 10.1039/c8cc05308a] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
A signal amplification protocol based on mass spectrometry (MS) was developed to profile simultaneously multiple biomarkers from a single cell using various mass label (ML)-modified Au nanoparticles (AuNPs). The strategy with ultrahigh sensitivity and specificity has potential prospects in the deep exploration of molecular and cellular characterization.
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Affiliation(s)
- Yuning Wang
- Department of Chemistry, Shanghai Stomatological Hospital, and State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai, China.
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11
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Ven K, Vanspauwen B, Pérez-Ruiz E, Leirs K, Decrop D, Gerstmans H, Spasic D, Lammertyn J. Target Confinement in Small Reaction Volumes Using Microfluidic Technologies: A Smart Approach for Single-Entity Detection and Analysis. ACS Sens 2018; 3:264-284. [PMID: 29363316 DOI: 10.1021/acssensors.7b00873] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Over the last decades, the study of cells, nucleic acid molecules, and proteins has evolved from ensemble measurements to so-called single-entity studies. The latter offers huge benefits, not only as biological research tools to examine heterogeneities among individual entities within a population, but also as biosensing tools for medical diagnostics, which can reach the ultimate sensitivity by detecting single targets. Whereas various techniques for single-entity detection have been reported, this review focuses on microfluidic systems that physically confine single targets in small reaction volumes. We categorize these techniques as droplet-, microchamber-, and nanostructure-based and provide an overview of their implementation for studying single cells, nucleic acids, and proteins. We furthermore reflect on the advantages and limitations of these techniques and highlight future opportunities in the field.
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Affiliation(s)
- Karen Ven
- Department
of Biosystems, KU Leuven - University of Leuven, Willem de Croylaan 42, 3001 Leuven, Belgium
| | - Bram Vanspauwen
- Department
of Biosystems, KU Leuven - University of Leuven, Willem de Croylaan 42, 3001 Leuven, Belgium
| | - Elena Pérez-Ruiz
- Department
of Biosystems, KU Leuven - University of Leuven, Willem de Croylaan 42, 3001 Leuven, Belgium
| | - Karen Leirs
- Department
of Biosystems, KU Leuven - University of Leuven, Willem de Croylaan 42, 3001 Leuven, Belgium
| | - Deborah Decrop
- Department
of Biosystems, KU Leuven - University of Leuven, Willem de Croylaan 42, 3001 Leuven, Belgium
| | - Hans Gerstmans
- Department
of Biosystems, KU Leuven - University of Leuven, Willem de Croylaan 42, 3001 Leuven, Belgium
- Department
of Applied biosciences, Ghent University, Valentyn Vaerwyckweg 1 - building
C, 9000 Gent, Belgium
- Department
of Biosystems, KU Leuven - University of Leuven, Kasteelpark Arenberg
21, 3001 Leuven, Belgium
| | - Dragana Spasic
- Department
of Biosystems, KU Leuven - University of Leuven, Willem de Croylaan 42, 3001 Leuven, Belgium
| | - Jeroen Lammertyn
- Department
of Biosystems, KU Leuven - University of Leuven, Willem de Croylaan 42, 3001 Leuven, Belgium
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12
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Park SM, Wong DJ, Ooi CC, Nesvet JC, Nair VS, Wang SX, Gambhir SS. Multigene profiling of single circulating tumor cells. Mol Cell Oncol 2017; 4:e1289295. [PMID: 28401190 DOI: 10.1080/23723556.2017.1289295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2017] [Revised: 01/26/2017] [Accepted: 01/27/2017] [Indexed: 10/20/2022]
Abstract
Numerous techniques for isolating circulating tumor cells (CTCs) have been developed. Concurrently, single-cell techniques that can reveal molecular components of CTCs have become widely available. We discuss how the combination of isolation and multigene profiling of single CTCs in our platform can facilitate eventual translation to the clinic.
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Affiliation(s)
- Seung-Min Park
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA; Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, CA, USA
| | - Dawson J Wong
- Department of Electrical Engineering, Stanford University , Stanford, CA, USA
| | - Chin Chun Ooi
- Department of Chemical Engineering, Stanford University , Stanford, CA, USA
| | - Jared C Nesvet
- Department of Chemistry, Stanford University , Stanford, CA, USA
| | - Viswam S Nair
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA; Division of Pulmonary and Critical Care Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA; Canary Center at Stanford for Cancer Early Detection, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Shan X Wang
- Department of Electrical Engineering, Stanford University, Stanford, CA, USA; Department of Materials Science and Engineering, Stanford University, Stanford, CA, USA; Canary Center at Stanford for Cancer Early Detection, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Sanjiv S Gambhir
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA; Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, CA, USA; Canary Center at Stanford for Cancer Early Detection, Stanford University School of Medicine, Palo Alto, CA, USA
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Molecular profiling of single circulating tumor cells from lung cancer patients. Proc Natl Acad Sci U S A 2016; 113:E8379-E8386. [PMID: 27956614 DOI: 10.1073/pnas.1608461113] [Citation(s) in RCA: 83] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
Circulating tumor cells (CTCs) are established cancer biomarkers for the "liquid biopsy" of tumors. Molecular analysis of single CTCs, which recapitulate primary and metastatic tumor biology, remains challenging because current platforms have limited throughput, are expensive, and are not easily translatable to the clinic. Here, we report a massively parallel, multigene-profiling nanoplatform to compartmentalize and analyze hundreds of single CTCs. After high-efficiency magnetic collection of CTC from blood, a single-cell nanowell array performs CTC mutation profiling using modular gene panels. Using this approach, we demonstrated multigene expression profiling of individual CTCs from non-small-cell lung cancer (NSCLC) patients with remarkable sensitivity. Thus, we report a high-throughput, multiplexed strategy for single-cell mutation profiling of individual lung cancer CTCs toward minimally invasive cancer therapy prediction and disease monitoring.
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