Single Cell Protein

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Min Xue - One of the best experts on this subject based on the ideXlab platform.

  • Fluorescence imaging-based methods for Single-Cell Protein analysis
    Analytical and Bioanalytical Chemistry, 2019
    Co-Authors: Siwen Wang, Fei Ji, Zhonghan Li, Min Xue
    Abstract:

    The quantity and activity of Proteins in many biological systems exhibit prominent heterogeneities. Single-Cell analytical methods can resolve subpopulations and dissect their unique signatures from heterogeneous samples, enabling a clarifying view of the biological process. Over the last 5 years, technologies for Single-Cell Protein analysis have significantly advanced. In this article, we highlight a branch of those technology developments involving fluorescence-based approaches, with a focus on the methods that increase the ability to multiplex and enable dynamic measurements. We also analyze the limitations of these techniques and discuss current challenges in the field, with the hope that more transformative platforms can soon emerge.

Nikolai Slavov - One of the best experts on this subject based on the ideXlab platform.

  • Single Cell Protein analysis for systems biology
    Essays in Biochemistry, 2018
    Co-Authors: Ezra Levy, Nikolai Slavov
    Abstract:

    The Cellular abundance of Proteins can vary even between isogenic Single Cells. This variability between Single-Cell Protein levels can have regulatory roles, such as controlling Cell fate during apoptosis induction or the proliferation/quiescence decision. Here, we review examples connecting Protein levels and their dynamics in Single Cells to Cellular functions. Such findings were made possible by the introduction of antibodies, and subsequently fluorescent Proteins, for tracking Protein levels in Single Cells. However, in heterogeneous Cell populations, such as tumors or differentiating stem Cells, Cellular decisions are controlled by hundreds, even thousands of Proteins acting in concert. Characterizing such complex systems demands measurements of thousands of Proteins across thousands of Single Cells. This demand has inspired the development of new methods for Single-Cell Protein analysis, and we discuss their trade-offs, with an emphasis on their specificity and coverage. We finish by highlighting the potential of emerging mass-spec methods to enable systems-level measurement of Single-Cell proteomes with unprecedented coverage and specificity. Combining such methods with methods for quantitating the transcriptomes and metabolomes of Single Cells will provide essential data for advancing quantitative systems biology.

  • Single Cell Protein analysis for systems biology
    2018
    Co-Authors: Ezra Levy, Nikolai Slavov
    Abstract:

    The Cellular abundance of Proteins can vary even between isogenic Single Cells. This variability between Single-Cell Protein levels can have functional roles, such as controlling Cell fate during apoptosis induction or the proliferation/quiescence decision. Here, we review such examples of connecting Protein levels and their dynamics in Single Cells to Cellular functions. Such findings were made possible by the introduction of antibodies, and subsequently fluorescent Proteins, for tracking Protein levels in Single Cells. However, in heterogeneous Cell populations, such as tumors or differentiating stem Cells, Cellular decisions are controlled by hundreds, even thousands of Proteins acting in concert. Characterizing such complex systems demands measurements of thousands of Proteins across thousands of Single Cells. This demand has inspired the development of new methods for Single Cell Protein analysis, and we discuss their trade-offs, with emphasis on their specificity and coverage. We finish by highlighting the potential of emerging mass-spec methods to enable systems-level measurement of Single-Cell proteomes with unprecedented coverage and specificity. Combining such methods with methods for quantifying the trasncriptomes and metabolomes of Single Cells will provide essential data for advancing quantitative systems biology.

Siwen Wang - One of the best experts on this subject based on the ideXlab platform.

  • Fluorescence imaging-based methods for Single-Cell Protein analysis
    Analytical and Bioanalytical Chemistry, 2019
    Co-Authors: Siwen Wang, Fei Ji, Zhonghan Li, Min Xue
    Abstract:

    The quantity and activity of Proteins in many biological systems exhibit prominent heterogeneities. Single-Cell analytical methods can resolve subpopulations and dissect their unique signatures from heterogeneous samples, enabling a clarifying view of the biological process. Over the last 5 years, technologies for Single-Cell Protein analysis have significantly advanced. In this article, we highlight a branch of those technology developments involving fluorescence-based approaches, with a focus on the methods that increase the ability to multiplex and enable dynamic measurements. We also analyze the limitations of these techniques and discuss current challenges in the field, with the hope that more transformative platforms can soon emerge.

Zhuang Gui - One of the best experts on this subject based on the ideXlab platform.

Ezra Levy - One of the best experts on this subject based on the ideXlab platform.

  • Single Cell Protein analysis for systems biology
    Essays in Biochemistry, 2018
    Co-Authors: Ezra Levy, Nikolai Slavov
    Abstract:

    The Cellular abundance of Proteins can vary even between isogenic Single Cells. This variability between Single-Cell Protein levels can have regulatory roles, such as controlling Cell fate during apoptosis induction or the proliferation/quiescence decision. Here, we review examples connecting Protein levels and their dynamics in Single Cells to Cellular functions. Such findings were made possible by the introduction of antibodies, and subsequently fluorescent Proteins, for tracking Protein levels in Single Cells. However, in heterogeneous Cell populations, such as tumors or differentiating stem Cells, Cellular decisions are controlled by hundreds, even thousands of Proteins acting in concert. Characterizing such complex systems demands measurements of thousands of Proteins across thousands of Single Cells. This demand has inspired the development of new methods for Single-Cell Protein analysis, and we discuss their trade-offs, with an emphasis on their specificity and coverage. We finish by highlighting the potential of emerging mass-spec methods to enable systems-level measurement of Single-Cell proteomes with unprecedented coverage and specificity. Combining such methods with methods for quantitating the transcriptomes and metabolomes of Single Cells will provide essential data for advancing quantitative systems biology.

  • Single Cell Protein analysis for systems biology
    2018
    Co-Authors: Ezra Levy, Nikolai Slavov
    Abstract:

    The Cellular abundance of Proteins can vary even between isogenic Single Cells. This variability between Single-Cell Protein levels can have functional roles, such as controlling Cell fate during apoptosis induction or the proliferation/quiescence decision. Here, we review such examples of connecting Protein levels and their dynamics in Single Cells to Cellular functions. Such findings were made possible by the introduction of antibodies, and subsequently fluorescent Proteins, for tracking Protein levels in Single Cells. However, in heterogeneous Cell populations, such as tumors or differentiating stem Cells, Cellular decisions are controlled by hundreds, even thousands of Proteins acting in concert. Characterizing such complex systems demands measurements of thousands of Proteins across thousands of Single Cells. This demand has inspired the development of new methods for Single Cell Protein analysis, and we discuss their trade-offs, with emphasis on their specificity and coverage. We finish by highlighting the potential of emerging mass-spec methods to enable systems-level measurement of Single-Cell proteomes with unprecedented coverage and specificity. Combining such methods with methods for quantifying the trasncriptomes and metabolomes of Single Cells will provide essential data for advancing quantitative systems biology.