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Protein Expression Analyses at the Single Cell Level
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 prot...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6270791/ https://www.ncbi.nlm.nih.gov/pubmed/25197931 http://dx.doi.org/10.3390/molecules190913932 |
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author | Ohno, Masae Karagiannis, Peter Taniguchi, Yuichi |
author_facet | Ohno, Masae Karagiannis, Peter Taniguchi, Yuichi |
author_sort | Ohno, Masae |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6270791 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-62707912018-12-27 Protein Expression Analyses at the Single Cell Level Ohno, Masae Karagiannis, Peter Taniguchi, Yuichi Molecules Review 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. MDPI 2014-09-05 /pmc/articles/PMC6270791/ /pubmed/25197931 http://dx.doi.org/10.3390/molecules190913932 Text en © 2014 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Review Ohno, Masae Karagiannis, Peter Taniguchi, Yuichi Protein Expression Analyses at the Single Cell Level |
title | Protein Expression Analyses at the Single Cell Level |
title_full | Protein Expression Analyses at the Single Cell Level |
title_fullStr | Protein Expression Analyses at the Single Cell Level |
title_full_unstemmed | Protein Expression Analyses at the Single Cell Level |
title_short | Protein Expression Analyses at the Single Cell Level |
title_sort | protein expression analyses at the single cell level |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6270791/ https://www.ncbi.nlm.nih.gov/pubmed/25197931 http://dx.doi.org/10.3390/molecules190913932 |
work_keys_str_mv | AT ohnomasae proteinexpressionanalysesatthesinglecelllevel AT karagiannispeter proteinexpressionanalysesatthesinglecelllevel AT taniguchiyuichi proteinexpressionanalysesatthesinglecelllevel |