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Molecules 2014, 19(9), 13932-13947; doi:10.3390/molecules190913932

Protein Expression Analyses at the Single Cell Level

Laboratory for Single Cell Gene Dynamics, Quantitative Biology Center, RIKEN Address, 6-2-3 Furuedai, Suita, Osaka 565-0874, Japan
Author to whom correspondence should be addressed.
Received: 30 June 2014 / Revised: 13 August 2014 / Accepted: 29 August 2014 / Published: 5 September 2014
(This article belongs to the Special Issue Single Molecule Techniques)
View Full-Text   |   Download PDF [2164 KB, uploaded 5 September 2014]   |  


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. View Full-Text
Keywords: single cell analysis; protein expression; stochastic gene expression; burst; single molecule fluorescence microscopy; proteome analysis single cell analysis; protein expression; stochastic gene expression; burst; single molecule fluorescence microscopy; proteome analysis

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Ohno, M.; Karagiannis, P.; Taniguchi, Y. Protein Expression Analyses at the Single Cell Level. Molecules 2014, 19, 13932-13947.

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