作者: Sergei Romanov , Alexander Medvedev , Maria Gambarian , Natalia Poltoratskaya , Matt Moeser
DOI: 10.1038/NMETH.1186
关键词: Molecular biology 、 Transcription factor 、 Biology 、 Quantitative assessment 、 Eukaryotic cell 、 Cell 、 Signal transduction 、 Homogeneous 、 Computational biology 、 Cell type
摘要: We developed a high-content reporter system that allows quantitative assessment of activities multiple transcription factors (TFs) in eukaryotic cell. The comprises library constructs are evaluated according to their rates. All reporters produce essentially identical messages subjected 'processing', which generates spectrum distinguishable fragments analyzed quantitatively. homogeneity the afforded inherently uniform detection conditions for all and provided repeatability, accuracy robustness assessment. showed this technology can be used identify pathways transmitting cell responses inducers, profile TF generated using represents stable sustained signature clearly distinguishes different types pathological conditions. This provides framework functional characterization signal transduction networks through profiling TFs.