Natural Sciences
Life Sciences
Scientific Computing
Natural Sciences

Dr. David Schnörr, Theoretical Systems Biology Group, Imperial College London, UK

BioQuant, Seminar room 043, Im Neuenheimer Feld 267

Jürgen Pahle, BioQuant

Cells adapt to changing conditions by changing their gene expression, 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 a high frequency time resolved data set 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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