Expression profiling by high throughput sequencing Other
Summary
We have mapped transcript and protein concentrations in cervical cancer cells responding to treatment with tunicamycin over an eight hour time course. We complement this dataset with RNA footprints of ribosomes and non-ribosomal proteins to determine changes in translation and trans-factor binding. The goals of this study are to unveil the time dependent complexity of the signaling pathways at the level of transcription and translation during different stress conditions like stress of the endoplasmic reticulum and oxidative stress.
Overall design
Hela cells were subjected to ER stress or oxidative stress. Transcript, ribosome footprint and protein occupency profiles were generated for different time points (0, 1 , 4 , and 8 hours) by deep sequencing, in triplicate, using Illumina Illumina HiSeq 2500.