Within eCHO, we aim to generate additional tools, data sets and analysis platforms for genome and epigenome analyses that will be integrated into www.CHOgenome.org (ESR4); to characterise autologous promoters and enhancers from CHO and use them for pathway engineering (ESR7); to develop tools to control the epigenome of defined genes by targeted modulation (ESR9); and to generate knockout libraries of CHO cells to define the relationship between gene-function-phenotype (ESR10).
Prof Nicole Borth
Our main objective is to achieve a comprehensive view of the mechanism that underly and determine cell performance under industrial process conditions. To obtain such a detailed view and understanding of cell physiology, we use a variety of omics-tools, including genome sequencing, epigenome characterisation, transcriptome, microRNome to metabolome and cytometry/cell sorting. These are used to identify bottlenecks, understand limitations and, in combination with cell engineering, to optimize process relevant cellular properties.
About the Lab
The group has developed a variety of cytometric and sorting methods to analyse the specific protein secretion rate of single cells, which can be used to sort for high producers and for other physiological activies. During the last five years, we were involved in several projects to establish the genomic and expressed DNA sequence of CHO cells, in the CHO genome scale metabolic model and in generating an epigenome data on CHO cells. All CHO related information is made publicly available at www.CHOgenome.org.