Microfluidic Platform for Parallel Single Cell Analysis for Diagnostic Applications

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

    Abstract

    Cell populations are heterogeneous: they can comprise different cell types or even cells at different stages of the cell cycle and/or of biological processes. Furthermore, molecular processes taking place in cells are stochastic in nature. Therefore, cellular analysis must be brought down to the single cell level to get useful insight into biological processes, and to access essential molecular information that would be lost when using a cell population analysis approach. Furthermore, to fully characterize a cell population, ideally, information both at the single cell level and on the whole cell population is required, which calls for analyzing each individual cell in a population in a parallel manner. This single cell level analysis approach is particularly important for diagnostic applications to unravel molecular perturbations at the onset of a disease, to identify biomarkers, and for personalized medicine, not only because of the heterogeneity of the cell sample, but also due to the availability of a reduced amount of cells, or even unique cells. This chapter presents a versatile platform meant for the parallel analysis of individual cells, with a particular focus on diagnostic applications and the analysis of cancer cells. We first describe one essential step of this parallel single cell analysis protocol, which is the trapping of individual cells in dedicated structures. Following this, we report different steps of a whole analytical process, including on-chip cell staining and imaging, cell membrane permeabilization and/or lysis using either chemical or physical means, and retrieval of the cell molecular content in dedicated channels for further analysis. This series of experiments illustrates the versatility of the herein-presented platform and its suitability for various analysis schemes and different analytical purposes.
    Original languageEnglish
    Title of host publicationMicrochip Diagnostics
    EditorsValerie Taly, Stephanie Descroix, Jean-Louis Viovy
    PublisherSpringer
    Pages187-209
    ISBN (Electronic)978-1-4939-6734-6
    ISBN (Print)978-1-4939-6732-2
    DOIs
    Publication statusPublished - 2017

    Publication series

    NameMethods in Molecular Biology
    PublisherSpringer Science+Business Media LCC
    Volume1547
    ISSN (Print)1064-3745
    ISSN (Electronic)1940-6029

    Fingerprint

    Microfluidics
    Cells
    Biomarkers
    Cell membranes
    Medicine
    Availability
    Imaging techniques
    Experiments

    Keywords

    • Single cell
    • Parallelization
    • Microfluidics
    • Circulating tumor cells
    • Cell trapping
    • Cell permeabilization

    Cite this

    le Gac, S. (2017). Microfluidic Platform for Parallel Single Cell Analysis for Diagnostic Applications. In V. Taly, S. Descroix, & J-L. Viovy (Eds.), Microchip Diagnostics (pp. 187-209). (Methods in Molecular Biology; Vol. 1547). Springer. https://doi.org/10.1007/978-1-4939-6734-6_15
    le Gac, Severine . / Microfluidic Platform for Parallel Single Cell Analysis for Diagnostic Applications. Microchip Diagnostics. editor / Valerie Taly ; Stephanie Descroix ; Jean-Louis Viovy. Springer, 2017. pp. 187-209 (Methods in Molecular Biology).
    @inbook{cad25901ff3143bcbd44e91f4488fd49,
    title = "Microfluidic Platform for Parallel Single Cell Analysis for Diagnostic Applications",
    abstract = "Cell populations are heterogeneous: they can comprise different cell types or even cells at different stages of the cell cycle and/or of biological processes. Furthermore, molecular processes taking place in cells are stochastic in nature. Therefore, cellular analysis must be brought down to the single cell level to get useful insight into biological processes, and to access essential molecular information that would be lost when using a cell population analysis approach. Furthermore, to fully characterize a cell population, ideally, information both at the single cell level and on the whole cell population is required, which calls for analyzing each individual cell in a population in a parallel manner. This single cell level analysis approach is particularly important for diagnostic applications to unravel molecular perturbations at the onset of a disease, to identify biomarkers, and for personalized medicine, not only because of the heterogeneity of the cell sample, but also due to the availability of a reduced amount of cells, or even unique cells. This chapter presents a versatile platform meant for the parallel analysis of individual cells, with a particular focus on diagnostic applications and the analysis of cancer cells. We first describe one essential step of this parallel single cell analysis protocol, which is the trapping of individual cells in dedicated structures. Following this, we report different steps of a whole analytical process, including on-chip cell staining and imaging, cell membrane permeabilization and/or lysis using either chemical or physical means, and retrieval of the cell molecular content in dedicated channels for further analysis. This series of experiments illustrates the versatility of the herein-presented platform and its suitability for various analysis schemes and different analytical purposes.",
    keywords = "Single cell , Parallelization, Microfluidics, Circulating tumor cells, Cell trapping, Cell permeabilization",
    author = "{le Gac}, Severine",
    year = "2017",
    doi = "10.1007/978-1-4939-6734-6_15",
    language = "English",
    isbn = "978-1-4939-6732-2",
    series = "Methods in Molecular Biology",
    publisher = "Springer",
    pages = "187--209",
    editor = "Valerie Taly and Stephanie Descroix and Jean-Louis Viovy",
    booktitle = "Microchip Diagnostics",

    }

    le Gac, S 2017, Microfluidic Platform for Parallel Single Cell Analysis for Diagnostic Applications. in V Taly, S Descroix & J-L Viovy (eds), Microchip Diagnostics. Methods in Molecular Biology, vol. 1547, Springer, pp. 187-209. https://doi.org/10.1007/978-1-4939-6734-6_15

    Microfluidic Platform for Parallel Single Cell Analysis for Diagnostic Applications. / le Gac, Severine .

    Microchip Diagnostics. ed. / Valerie Taly; Stephanie Descroix; Jean-Louis Viovy. Springer, 2017. p. 187-209 (Methods in Molecular Biology; Vol. 1547).

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

    TY - CHAP

    T1 - Microfluidic Platform for Parallel Single Cell Analysis for Diagnostic Applications

    AU - le Gac, Severine

    PY - 2017

    Y1 - 2017

    N2 - Cell populations are heterogeneous: they can comprise different cell types or even cells at different stages of the cell cycle and/or of biological processes. Furthermore, molecular processes taking place in cells are stochastic in nature. Therefore, cellular analysis must be brought down to the single cell level to get useful insight into biological processes, and to access essential molecular information that would be lost when using a cell population analysis approach. Furthermore, to fully characterize a cell population, ideally, information both at the single cell level and on the whole cell population is required, which calls for analyzing each individual cell in a population in a parallel manner. This single cell level analysis approach is particularly important for diagnostic applications to unravel molecular perturbations at the onset of a disease, to identify biomarkers, and for personalized medicine, not only because of the heterogeneity of the cell sample, but also due to the availability of a reduced amount of cells, or even unique cells. This chapter presents a versatile platform meant for the parallel analysis of individual cells, with a particular focus on diagnostic applications and the analysis of cancer cells. We first describe one essential step of this parallel single cell analysis protocol, which is the trapping of individual cells in dedicated structures. Following this, we report different steps of a whole analytical process, including on-chip cell staining and imaging, cell membrane permeabilization and/or lysis using either chemical or physical means, and retrieval of the cell molecular content in dedicated channels for further analysis. This series of experiments illustrates the versatility of the herein-presented platform and its suitability for various analysis schemes and different analytical purposes.

    AB - Cell populations are heterogeneous: they can comprise different cell types or even cells at different stages of the cell cycle and/or of biological processes. Furthermore, molecular processes taking place in cells are stochastic in nature. Therefore, cellular analysis must be brought down to the single cell level to get useful insight into biological processes, and to access essential molecular information that would be lost when using a cell population analysis approach. Furthermore, to fully characterize a cell population, ideally, information both at the single cell level and on the whole cell population is required, which calls for analyzing each individual cell in a population in a parallel manner. This single cell level analysis approach is particularly important for diagnostic applications to unravel molecular perturbations at the onset of a disease, to identify biomarkers, and for personalized medicine, not only because of the heterogeneity of the cell sample, but also due to the availability of a reduced amount of cells, or even unique cells. This chapter presents a versatile platform meant for the parallel analysis of individual cells, with a particular focus on diagnostic applications and the analysis of cancer cells. We first describe one essential step of this parallel single cell analysis protocol, which is the trapping of individual cells in dedicated structures. Following this, we report different steps of a whole analytical process, including on-chip cell staining and imaging, cell membrane permeabilization and/or lysis using either chemical or physical means, and retrieval of the cell molecular content in dedicated channels for further analysis. This series of experiments illustrates the versatility of the herein-presented platform and its suitability for various analysis schemes and different analytical purposes.

    KW - Single cell

    KW - Parallelization

    KW - Microfluidics

    KW - Circulating tumor cells

    KW - Cell trapping

    KW - Cell permeabilization

    U2 - 10.1007/978-1-4939-6734-6_15

    DO - 10.1007/978-1-4939-6734-6_15

    M3 - Chapter

    SN - 978-1-4939-6732-2

    T3 - Methods in Molecular Biology

    SP - 187

    EP - 209

    BT - Microchip Diagnostics

    A2 - Taly, Valerie

    A2 - Descroix, Stephanie

    A2 - Viovy, Jean-Louis

    PB - Springer

    ER -

    le Gac S. Microfluidic Platform for Parallel Single Cell Analysis for Diagnostic Applications. In Taly V, Descroix S, Viovy J-L, editors, Microchip Diagnostics. Springer. 2017. p. 187-209. (Methods in Molecular Biology). https://doi.org/10.1007/978-1-4939-6734-6_15