Bistable switches are the key elements of the regulatory networks governing cell development, differentiation and life-strategy decisions. Transcriptional noise is a main determinant that causes switching between different states in bistable systems. By using the human pathogen Streptococcus pneumoniae as a model bacterium, we will investigate how transcriptional fidelity and processivity influence (noisy) gene expression and participate in bistability. To study this question, we will use both

The project “Rational development of anti-cancer combinations” focuses on precision medicine for cancer by pursuing novel insight into cancer disease mechanisms, combinatorial drug treatment in order to enable selection of the best treatment for the individual patient. The aim is to develop and integrate computational, experimental and analytical approaches to predict and validate anti-cancer drug combinations and produce an integrated pipeline for rational screening of synergistic drugs and for

Powered by
Seek new full
Copyright © 2008 - 2018 The University of Manchester and HITS gGmbH