The conference will explore the latest findings and technological developments in the field of gene regulation. The regulation of gene expression is a highly complex process in which numerous different factors play a role, such as signalling pathways, transcription factors and epigenetic modifications. With the recent surge in the development of omics technologies, researchers have generated vast amounts of data describing the contribution of these factors to controlling gene activity. However, interpreting, validating and integrating the data remains a major challenge. A combination of quantitative analysis and experimental research is therefore crucial to draw a complete picture of gene regulation.
- Gene Regulation by the Numbers: Quantitative Approaches to Study Transcription
- How do gene regulatory networks make robust decisions in the face of intracellular and environmental fluctuations?
- How do epigenetic mechanisms ensure that gene expression programmes are faithfully transmitted within cell lineages and from one generation to the next?
- How do RNA-RNA and RNA-protein interactions control gene expression at the post-transcriptional level?
- How do DNA sequence variations influence gene expression and phenotypic outcomes, and what are the long-term consequences of this on an evolutionary time scale?
- How can dynamic models help us to understand signalling, gene regulation and cell fate decision making?
- Can we improve the speed and accuracy of existing data analysis strategies?
- What are the upcoming challenges in data analysis?
|Date||19 Jun 2017|
|Location||Institute of Molecular Biology (IMB)|
|Organizers||Julian König, Stefan Legewie, Bertil Schmidt, Sarah Teichmann, and Vijay Tiwari|