SysBio.se - Systems and Synthetic Biology

Systems and Synthetic Biology is headed by Professor Ivan Mijakovic and is composed of several labs directed by faculty members at the department. The lab and computational facilities are shared among all members of Systems and Synthetic Biology. The division is very international with researchers from more than 30 countries and we have as a key objective to support young researchers in their careers. We are participants in several large research centers and in many international projects funded by the EU and other funding agencies.
The division of Systems and Synthetic Biology is part of the Department of Life Sciences at Chalmers University of Technology.

Labs

Bengtsson-Palme Lab

We do research in microbiology and microbial ecology, primarily focusing on antibiotic resistance, pathogenesis and interactions in bacterial communities using data-driven analysis and experiments

Chen Lab

Our research focus is on reprogramming cellular metabolism to produce biochemicals, fuels and pharmaeuceticals.

David Lab

Our research focus is on developing microbial drug discovery and production platforms.

Faresjö lab

We are focusing on immunological mechanisms and tools for prevention, diagnosis and treatment of autoimmune diseases especially in children with type 1 diabetes and/or celiac disease.

Kerkhoven Lab

Through model-driven analysis of experimental data we aim to understand, predict and engineer biology, among others in baker’s and oleaginous yeasts and antibiotic producing bacteria.

Mijakovic Lab

We work on signaling and regulation in bacterial cells, focusing in particular on regulatory phenomena based on protein phosphorylation.

Molin Lab

We look into the roles of oxidants on physiology, especially the roles of peroxiredoxin antioxidants on proteostasis, signaling and aging. Knowledge gained is used to benefit health and engineering.

Nielsen Lab

Our research focus is on systems biology of metabolism. The yeast Saccharomyces cerevisiae is our key organism for experimental research.

Polster Lab

Our research aims to explore endotypes in complex diseases to advance personalized and predictive medicine. We use computational methods to model human pathophysiology using clinical and molecular data.

Siewers Lab

We develop and apply synthetic biology tools to generate yeast cell factories for the sustainable production of proteins and chemicals as well as to create whole-cell biosensors.

Zelezniak Lab

We apply best practices of computational biology together with machine learning to understand the behavior of metabolic networks at single and multispecies levels.

Organization