Computational Systems Biology Methods and Protocols.7z

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Chapter 17


Single-Cell Protein Assays: A Review


Beiyuan Fan, Junbo Wang, Ying Xu, and Jian Chen


Abstract


Quantification of single-cell proteomics provides key insights in the field of cellular heterogeneity. This
chapter discusses the emerging techniques that are being used to measure the protein copy numbers at the
single-cell level, which includes flow cytometry, mass cytometry, droplet cytometry, microengraving, and
single-cell barcoding microchip. The advantages and limitations of each technique are compared, and
future research opportunities are highlighted.


KeywordsSingle-cell protein assays, Flow cytometry, Mass cytometry, Droplet cytometry,
Microengraving, Single-cell barcoding microchip

1 Introduction


Proteins (i.e., macromolecules composed of chains of amino acid
residues) perform dominant functions within organisms, which
function as key regulators in metabolic reactions, DNA replications,
signal transductions, and molecule transportations [1]. Thus, the
status of proteins has been regarded as the most important indica-
tors of biological activities, which are closely related to cellular
differentiation, neuron transmission, and disease progressions, to
name a few [2].
A large number of characterization approaches (e.g., immuno-
assay and electrophoresis) have been proposed to estimate protein
expressions [3], which significantly promote the developments in
biological and medical sciences [4]. However, these conventional
approaches can only quantify protein copy numbers in population
and cannot be used to address the issue of cellular heterogeneity.
Within the last decades, we have witnessed huge developments
in tools enabling single-cell protein analysis, providing key insights
in the field of cellular heterogeneity (e.g., immune response varia-
tions and tumor heterogeneity) [5–8]. Currently, approaches in the
field of single-cell protein analysis can be classified into five major
types, which are (1) flow cytometry, (2) mass cytometry, (3) droplet

Tao Huang (ed.),Computational Systems Biology: Methods and Protocols, Methods in Molecular Biology, vol. 1754,
https://doi.org/10.1007/978-1-4939-7717-8_17,©Springer Science+Business Media, LLC, part of Springer Nature 2018


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