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- Masae Ohno
- Laboratory for Single Cell Gene Dynamics, Quantitative Biology Center, RIKEN Address, 6-2-3 Furuedai, Suita, Osaka 565-0874, Japan
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- Peter Karagiannis
- Laboratory for Single Cell Gene Dynamics, Quantitative Biology Center, RIKEN Address, 6-2-3 Furuedai, Suita, Osaka 565-0874, Japan
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- Yuichi Taniguchi
- Laboratory for Single Cell Gene Dynamics, Quantitative Biology Center, RIKEN Address, 6-2-3 Furuedai, Suita, Osaka 565-0874, Japan
書誌事項
- 公開日
- 2014-09-05
- 資源種別
- journal article
- 権利情報
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- https://creativecommons.org/licenses/by/3.0/
- DOI
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- 10.3390/molecules190913932
- 公開者
- MDPI AG
説明
<jats:p>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.</jats:p>
収録刊行物
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- Molecules
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Molecules 19 (9), 13932-13947, 2014-09-05
MDPI AG
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詳細情報 詳細情報について
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- CRID
- 1360004239507054720
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- ISSN
- 14203049
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- 資料種別
- journal article
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- データソース種別
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- Crossref
- KAKEN
