Modelling the RNA life cycle in yeast under stress from RNA-protein binding data

  • Datum: 06.09.2018
  • Uhrzeit: 11:00 - 12:00
  • Vortragende(r): David Schnoerr
  • Imperial College London, Dept. of Life Sciences
  • Ort: Max-Planck-Institut für biophysikalische Chemie (MPIBPC)
  • Raum: Tower IV, Seminar Room, 2nd Floor
  • Gastgeber: Dr. Juliane Liepe
  • Kontakt: jliepe@mpibpc.mpg.de
Cells adapt to varying conditions in their environment by changing their gene expression levels, both at the RNA and protein level. RNA abundances are the result of a balance between several different production and decay processes. Traditionally, most efforts have been focussed on changes in the rate of transcription. In this talk, I will use high-throughput RNA-protein binding data to try to deconvolve the effects of transcription and decay on the kinetics of RNA in yeast cells responding to nutrient shifts. I will describe how a new technology, chiCRAC, allowed us to obtain high frequency time resolved data of the binding to RNA of polymerase as well as two major decay factors, Nab3 and Xrn1. Using Gaussian process regression for the protein-binding data and a mechanistic model for the Rna dynamics, we find that these three proteins alone are sufficient to explain the dynamic behaviour of a surprisingly large number of transcripts during stress response.

Joint work with Guido Sanguinetti, Alina Selega, Edward Wallace, Rob van Nues and Sander Granneman
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