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A Device for Isolation of Selected Single Adherent Cells. BIOMED RESEARCH INTERNATIONAL 2022; 2022:4303586. [PMID: 36567910 PMCID: PMC9780011 DOI: 10.1155/2022/4303586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Revised: 10/29/2022] [Accepted: 11/12/2022] [Indexed: 12/23/2022]
Abstract
In recent years, extensive research has been focused on the field of single cell analysis. The isolation of single cells is the first step in this type of research. However, the techniques used for direct isolation and acquisition of single adherent cells are limited. Here, we present a method of obtaining selected single adherent cells using a separation device. Compared with other single cell isolation methods, this method has the advantages of simple operation, low cost, minimal cell damage, and preservation of cell morphology. Our methodology is, therefore, suitable for the collection of selected single adherent cells.
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Tong A, Pham QL, Shah V, Naik A, Abatemarco P, Voronov R. Automated Addressable Microfluidic Device for Minimally Disruptive Manipulation of Cells and Fluids within Living Cultures. ACS Biomater Sci Eng 2020; 6:1809-1820. [DOI: 10.1021/acsbiomaterials.9b01969] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Affiliation(s)
- Anh Tong
- Otto H. York Department of Chemical and Materials Engineering, New Jersey Institute of Technology, Newark College of Engineering, 161 Warren Street, Newark, New Jersey 07102, United States
| | - Quang Long Pham
- Otto H. York Department of Chemical and Materials Engineering, New Jersey Institute of Technology, Newark College of Engineering, 161 Warren Street, Newark, New Jersey 07102, United States
- Department of Biomedical Engineering, Tufts University, 4 Colby Street, Medford, Massachusetts 02155, United States
| | - Vatsal Shah
- Department of Computer Science, Ying Wu College of Computing Sciences, New Jersey Institute of Technology, Newark College of Engineering, Suite 3500, University Heights, Newark, New Jersey 07102, United States
- Federated Department of Mechanical and Industrial Engineering, New Jersey Institute of Technology, Newark College of Engineering, Suite 204, University Heights, Newark, New Jersey 07102, United States
| | - Akshay Naik
- Helen and John C. Hartmann Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark College of Engineering, Suite 200, University Heights, Newark, New Jersey 07102, United States
| | - Paul Abatemarco
- Otto H. York Department of Chemical and Materials Engineering, New Jersey Institute of Technology, Newark College of Engineering, 161 Warren Street, Newark, New Jersey 07102, United States
| | - Roman Voronov
- Otto H. York Department of Chemical and Materials Engineering, New Jersey Institute of Technology, Newark College of Engineering, 161 Warren Street, Newark, New Jersey 07102, United States
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark College of Engineering, 323 Dr. Martin Luther King Jr. Boulevard, Newark, New Jersey 07103, United States
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Ishida T, Shimamoto T, Kaminaga M, Kuchimaru T, Kizaka-Kondoh S, Omata T. Microfluidic High-Migratory Cell Collector Suppressing Artifacts Caused by Microstructures. MICROMACHINES 2019; 10:E116. [PMID: 30754704 PMCID: PMC6412487 DOI: 10.3390/mi10020116] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/17/2019] [Revised: 02/01/2019] [Accepted: 02/07/2019] [Indexed: 12/22/2022]
Abstract
The small number of high-migratory cancer cells in a cell population make studies on high-migratory cancer cells difficult. For the development of migration assays for such cancer cells, several microfluidic devices have been developed. However, they measure migration that is influenced by microstructures and they collect not only high-migratory cells, but also surrounding cells. In order to find high-migratory cells in cell populations while suppressing artifacts and to collect these cells while minimizing damages, we developed a microfluidic high-migratory cell collector with the ability to sort cancer cells according to cellular migration and mechanical detachment. High-migratory cancer cells travel further from the starting line when all of the cells are seeded on the same starting line. The high-migratory cells are detached using a stretch of cell adhesive surface using a water-driven balloon actuator. Using this cell collector, we selected high-migratory HeLa cells that migrated about 100m in 12 h and collected the cells.
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Affiliation(s)
- Tadashi Ishida
- Department of Mechanical Engineering, School of Engineering, Tokyo Institute of Technology, Kanagawa 226-8503, Japan.
- Department of Mechano-Micro Engineering, Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, Kanagawa 226-8503, Japan.
| | - Takuya Shimamoto
- Department of Mechano-Micro Engineering, Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, Kanagawa 226-8503, Japan.
| | - Maho Kaminaga
- Department of Mechanical Engineering, School of Engineering, Tokyo Institute of Technology, Kanagawa 226-8503, Japan.
| | - Takahiro Kuchimaru
- Department of Life Science and Technology, School of Life Science and Technology, Tokyo Institute of Technology, Kanagawa 226-8503, Japan.
| | - Shinae Kizaka-Kondoh
- Department of Life Science and Technology, School of Life Science and Technology, Tokyo Institute of Technology, Kanagawa 226-8503, Japan.
| | - Toru Omata
- Department of Mechanical Engineering, School of Engineering, Tokyo Institute of Technology, Kanagawa 226-8503, Japan.
- Department of Mechano-Micro Engineering, Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, Kanagawa 226-8503, Japan.
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Single-Cell Mass Cytometry of Archived Human Epithelial Tissue for Decoding Cancer Signaling Pathways. Methods Mol Biol 2019; 1884:215-229. [PMID: 30465206 DOI: 10.1007/978-1-4939-8885-3_15] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
The emerging phenomenon of cellular heterogeneity in tissue requires single-cell resolution studies. A specific challenge for suspension-based single-cell analysis is the preservation of intact cell states when single cells are isolated from tissue contexts, in order to enable downstream analyses to extract accurate, native information. We have developed DISSECT (Disaggregation for Intracellular Signaling in Single Epithelial Cells from Tissue) coupled to mass cytometry (CyTOF: Cytometry by Time-of-Flight), an experimental approach for profiling intact signaling states of single cells from epithelial tissue specimens. We have previously applied DISSECT-CyTOF to fresh mouse intestinal samples and to Formalin-Fixed, Paraffin-Embedded (FFPE) human colorectal cancer specimens. Here, we present detailed protocols for each of these procedures, as well as a new method for applying DISSECT to cryopreserved tissue slices. We present example data for using DISSECT on a cryopreserved specimen of the human colon to profile its immune and epithelial composition. These techniques can be used for high-resolution studies for monitoring disease-related alternations in different cellular compartments using specimens stored in cryopreserved or FFPE tissue banks.
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Manohar S, Shah P, Biswas S, Mukadam A, Joshi M, Viswanathan G. Combining fluorescent cell barcoding and flow cytometry‐based phospho‐ERK1/2 detection at short time scales in adherent cells. Cytometry A 2018; 95:192-200. [DOI: 10.1002/cyto.a.23602] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2018] [Revised: 08/09/2018] [Accepted: 08/20/2018] [Indexed: 12/23/2022]
Affiliation(s)
- Sonal Manohar
- Department of Chemical EngineeringIndian Institute of Technology Bombay Powai, Mumbai 400076 India
| | - Prachi Shah
- Department of Chemical EngineeringIndian Institute of Technology Bombay Powai, Mumbai 400076 India
| | - Sharmila Biswas
- Department of Chemical EngineeringIndian Institute of Technology Bombay Powai, Mumbai 400076 India
| | - Anam Mukadam
- Department of Chemical EngineeringIndian Institute of Technology Bombay Powai, Mumbai 400076 India
| | - Madhura Joshi
- Department of Chemical EngineeringIndian Institute of Technology Bombay Powai, Mumbai 400076 India
| | - Ganesh Viswanathan
- Department of Chemical EngineeringIndian Institute of Technology Bombay Powai, Mumbai 400076 India
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Abstract
Functional and genomic heterogeneity of individual cells are central players in a broad spectrum of normal and disease states. Our knowledge about the role of cellular heterogeneity in tissue and organism function remains limited due to analytical challenges one encounters when performing single cell studies in the context of cell-cell interactions. Information based on bulk samples represents ensemble averages over populations of cells, while data generated from isolated single cells do not account for intercellular interactions. We describe a new technology and demonstrate two important advantages over existing technologies: first, it enables multiparameter energy metabolism profiling of small cell populations (<100 cells)—a sample size that is at least an order of magnitude smaller than other, commercially available technologies; second, it can perform simultaneous real-time measurements of oxygen consumption rate (OCR), extracellular acidification rate (ECAR), and mitochondrial membrane potential (MMP)—a capability not offered by any other commercially available technology. Our results revealed substantial diversity in response kinetics of the three analytes in dysplastic human epithelial esophageal cells and suggest the existence of varying cellular energy metabolism profiles and their kinetics among small populations of cells. The technology represents a powerful analytical tool for multiparameter studies of cellular function.
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Abstract
Single-cell analysis has become an established method to study cell heterogeneity and for rare cell characterization. Despite the high cost and technical constraints, applications are increasing every year in all fields of biology. Following the trend, there is a tremendous development of tools for single-cell analysis, especially in the RNA sequencing field. Every improvement increases sensitivity and throughput. Collecting a large amount of data also stimulates the development of new approaches for bioinformatic analysis and interpretation. However, the essential requirement for any analysis is the collection of single cells of high quality. The single-cell isolation must be fast, effective, and gentle to maintain the native expression profiles. Classical methods for single-cell isolation are micromanipulation, microdissection, and fluorescence-activated cell sorting (FACS). In the last decade several new and highly efficient approaches have been developed, which not just supplement but may fully replace the traditional ones. These new techniques are based on microfluidic chips, droplets, micro-well plates, and automatic collection of cells using capillaries, magnets, an electric field, or a punching probe. In this review we summarize the current methods and developments in this field. We discuss the advantages of the different commercially available platforms and their applicability, and also provide remarks on future developments.
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Platform for combined analysis of functional and biomolecular phenotypes of the same cell. Sci Rep 2017; 7:44636. [PMID: 28300162 PMCID: PMC5353596 DOI: 10.1038/srep44636] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2016] [Accepted: 02/13/2017] [Indexed: 02/06/2023] Open
Abstract
Functional and molecular cell-to-cell variability is pivotal at the cellular, tissue and whole-organism levels. Yet, the ultimate goal of directly correlating the function of the individual cell with its biomolecular profile remains elusive. We present a platform for integrated analysis of functional and transcriptional phenotypes in the same single cells. We investigated changes in the cellular respiration and gene expression diversity resulting from adaptation to repeated episodes of acute hypoxia in a premalignant progression model. We find differential, progression stage-specific alterations in phenotypic heterogeneity and identify cells with aberrant phenotypes. To our knowledge, this study is the first demonstration of an integrated approach to elucidate how heterogeneity at the transcriptional level manifests in the physiologic profile of individual cells in the context of disease progression.
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Simmons AJ, Scurrah CR, McKinley ET, Herring CA, Irish JM, Washington MK, Coffey RJ, Lau KS. Impaired coordination between signaling pathways is revealed in human colorectal cancer using single-cell mass cytometry of archival tissue blocks. Sci Signal 2016; 9:rs11. [PMID: 27729552 DOI: 10.1126/scisignal.aah4413] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Cellular heterogeneity poses a substantial challenge to understanding tissue-level phenotypes and confounds conventional bulk analyses. To analyze signaling at the single-cell level in human tissues, we applied mass cytometry using cytometry time of flight to formalin-fixed, paraffin-embedded (FFPE) normal and diseased intestinal specimens. This technique, called FFPE-DISSECT (disaggregation for intracellular signaling in single epithelial cells from tissue), is a single-cell approach to characterizing signaling states in embedded tissue samples. We applied FFPE-DISSECT coupled to mass cytometry and found differential signaling by tumor necrosis factor-α in intestinal enterocytes, goblet cells, and enteroendocrine cells, implicating the downstream RAS-RAF-MEK pathway in determining goblet cell identity. Application of this technique and computational analyses to human colon specimens confirmed the reduced differentiation in colorectal cancer (CRC) compared to normal colon and revealed increased intratissue and intertissue heterogeneity in CRC with quantitative changes in the regulation of signaling pathways. Specifically, coregulation of the kinases p38 and ERK, the translation regulator 4EBP1, and the transcription factor CREB in proliferating normal colon cells was lost in CRC. Our data suggest that this single-cell approach, applied in conjunction with genomic annotation, enables the rapid and detailed characterization of cellular heterogeneity from clinical repositories of embedded human tissues. This technique can be used to derive cellular landscapes from archived patient samples (beyond CRC) and as a high-resolution tool for disease characterization and subtyping.
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Affiliation(s)
- Alan J Simmons
- Epithelial Biology Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA. Department of Cell and Developmental Biology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Cherié R Scurrah
- Epithelial Biology Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA. Department of Cell and Developmental Biology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Eliot T McKinley
- Epithelial Biology Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA. Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Charles A Herring
- Epithelial Biology Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA. Chemical and Physical Biology Program, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Jonathan M Irish
- Department of Cancer Biology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA. Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - M Kay Washington
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Robert J Coffey
- Epithelial Biology Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA. Department of Cell and Developmental Biology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA. Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA. Veterans Affairs Medical Center, Tennessee Valley Healthcare System, Nashville, TN 37232, USA
| | - Ken S Lau
- Epithelial Biology Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA. Department of Cell and Developmental Biology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA. Chemical and Physical Biology Program, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
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