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Roche Innovation Center Penzberg

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Genetics

Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation
Kathrin Davari *1, Johannes Lichti *1, Caroline C. Friedel 2, Elke Glasmacher 1,3
1Institute for Diabetes and Obesity (IDO), German Center for Diabetes Research (DZD), Helmholtz Zentrum München, 2Institute for Informatics, Ludwig-Maximilians-Universität München, 3Roche Pharma Research and Early Development, Large Molecule Research, Roche Innovation Center Penzberg

This protocol describes the combinatorial use of ChIP-seq, 4sU-seq, total RNA-seq, and ribosome profiling for cell lines and primary cells. It enables tracking changes in transcription-factor binding, de novo transcription, RNA processing, turnover and translation over time, and displaying the overall course of events in activated and/or rapidly changing cells.

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