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Systems and Synthetic Biology is part of the Life Science Division, Department of Chemical and Biological Engineering.
Systems and Synthetic Biology is headed by Professor Jens Nielsen and is composed of several labs and faculty. Each lab has a leader who is responsible for directing particular research themes. The lab and computational facilities are shared among all members of Systems and Synthetic Biology.
Systems and Synthetic Biology has a central role in LifeScience@Chalmers, which is one of eight Areas of Advance at Chalmers University of Technology. The director of Life Science Area of Advance is Professor Jens Nielsen. |
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| Larsson Lab |
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Nielsen Lab |
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| Our lab is focused on understanding the physiology and metabolic regulation in the yeast Saccharomyces cerevisiae and to apply this knowledge in various metabolic engineering projects. |
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Our research focus is on systems biology of metabolism. The yeast Saccharomyces cerevisiae is our key organism for experimental research. |
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| Mijakovic Lab |
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Petranovic Lab |
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| We work on signaling and regulation in bacterial cells, focusing in particular on regulatory phenomena based on protein phosphorylation. |
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We are combining methods of molecular and cell biology, biochemistry, bioinformatics and systems biology with the scope to study how cells regulate aging and death pathways. |
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| Last update:
22-Jul-2014 |
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Latest News
Jens Nielsen has been elected to the Royal Swedish Academy of Sciences
QuantFung announcement of ER4 posititon
Verena Siewers received a stipend from Konung Carl XVI Gustafs 50-årsfond för vetenskap, teknik och miljö.
The article from Petranovic Lab “Management of the ER Stress by Activation of the Heat Shock Response in Yeast” has been selected as Editor’s Choice for May in FEMS Yeast Research.
A paper from Nielsen Lab published in Molecular Systems Biology, about genome-scale modeling of liver metabolism in NASH is featured in Nature Reviews Gastroenterology and Hepatology.
A paper from Nielsen Lab published in PNAS shows that genome-scale metabolic modeling of kidney cancer can demonstrate unique metabolism of this cancer. Also featured in Kemivärlden Biotech.
A paper from Nielsen Lab published in Molecular Systems Biology shows the first example of how personalized modeling of cancer can be used to design personalized medicines. |
