计算生物学
转录因子
报告基因
稳健性(进化)
同种类的
生物
细胞生物学
定量评估
细胞
计算机科学
基因表达
基因
遗传学
数学
统计
组合数学
作者
Sergei Romanov,Alexander V. Medvedev,Maria Gambarian,Natalia Poltoratskaya,Matt Moeser,Liubov Medvedeva,Mikhail Gambarian,Luda Diatchenko,Sergei S. Makarov
出处
期刊:Nature Methods
[Nature Portfolio]
日期:2008-02-24
卷期号:5 (3): 253-260
被引量:81
摘要
We developed a high-content reporter system that allows quantitative assessment of activities of multiple transcription factors (TFs) in a eukaryotic cell. The system comprises a library of reporter constructs that are evaluated according to their transcription rates. All reporters produce essentially identical messages that are subjected to 'processing', which generates a spectrum of distinguishable fragments that are analyzed quantitatively. The homogeneity of the reporter library afforded inherently uniform detection conditions for all reporters and provided repeatability, accuracy and robustness of assessment. We showed that this technology can be used to identify pathways transmitting cell responses to inducers, and that the profile of TF activities generated using this system represents a stable and sustained cell signature that clearly distinguishes different cell types and pathological conditions. This technology provides a framework for functional characterization of signal transduction networks through profiling activities of multiple TFs.
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