title: Protein expression analyses at the single cell level.
abstract: The central dogma of molecular biology explains how genetic information is converted into its end product, proteins, which are responsible for the phenotypic state of the cell. Along with the protein type, the phenotypic state depends on the protein copy number. Therefore, quantification of the protein expression in a single cell is critical for quantitative characterization of the phenotypic states. Protein expression is typically a dynamic and stochastic phenomenon that cannot be well described by standard experimental methods. As an alternative, fluorescence imaging is being explored for the study of protein expression, because of its high sensitivity and high throughput. Here we review key recent progresses in fluorescence imaging-based methods and discuss their application to proteome analysis at the single cell level.
authors.affiliation: Laboratory for Single Cell Gene Dynamics, Quantitative Biology Center, RIKEN Address, 6-2-3 Furuedai, Suita, Osaka 565-0874, Japan.
authors.forename: Masae
authors.initials: M
authors.lastname: Ohno
authors.affiliation: Laboratory for Single Cell Gene Dynamics, Quantitative Biology Center, RIKEN Address, 6-2-3 Furuedai, Suita, Osaka 565-0874, Japan.
authors.forename: Peter
authors.initials: P
authors.lastname: Karagiannis
authors.affiliation: Laboratory for Single Cell Gene Dynamics, Quantitative Biology Center, RIKEN Address, 6-2-3 Furuedai, Suita, Osaka 565-0874, Japan. taniguchi@riken.jp.
authors.forename: Yuichi
authors.initials: Y
authors.lastname: Taniguchi
mesh_terms: D000465:Algorithms; D000818:Animals; D020869:Gene Expression Profiling; D006801:Humans; D014176:Protein Biosynthesis; D020543:Proteome / Q000235:genetics / Q000378:metabolism; D059010:Single-Cell Analysis; D013269:Stochastic Processes
chemical_list: D020543:Proteome