Dr. Hannes Link
Hannes Link (born 1979)
Diploma in Chemical Engineering, TU Munich, 2005
Ph.D. (Dr.-Ing.), Institute of Biochemical Engineering, TU Munich, 2009
Postdoc, Institute of Molecular Systems Biology, ETH Zürich, 2010
Research group leader at the MPI in Marburg, since January 2015
Research Area: Dynamic Control of Metabolic Networks
The overall ambition of our research is to understand the metabolic and physiological consequences of inserting synthetic metabolic pathways into microbes, and develop superior strains for industrial biotechnology. In nature, bacteria produce metabolites with the objective to grow, and metabolic regulators (e.g. transcription factors) assure that supply and demand of metabolites is balanced. Synthetic metabolic pathways, in contrast, are not under appropriate control and overproduction imposes a constant burden on the cells. Our goals are to map metabolic regulators in platform organisms like Escherichia coli and create novel regulatory circuits to obtain stable and robust production strains.
Interested in joining our team?
We are currently looking for Postdocs and PhD students to join the ERC project MapMe, especially persons with a background in computational biology or biophysics. If you are interested please contact email@example.com
Donati S, Sander T, Link H (2017) Crosstalk between transcription and metabolism: how much enzyme is enough for a cell? WIREs Syst Biol Med. doi 10.1002/wsbm.1396
Guder JC , Schramm T, Sander T, Link H (2017) Time-Optimized Isotope Ratio LC-MS/MS for High-Throughput Quantification of Primary Metabolites. Analytical Chemistry 89 (3): 1624–1631.
Liu Y*, Link H*, Liu L, Du G, Chen J, Sauer U. (2016) A dynamic pathway analysis approach reveals a limiting futile cycle in N-acetylglucosamine overproducing Bacillus subtilis. Nature Comm. 7: 11933. *equal contr.
Link H, Fuhrer T, Gerosa L, Zamboni N, Sauer U. (2015) Real-time metabolome profiling of the metabolic switch between starvation and growth. Nature Methods 12(11):1091-1097
Link H, Christodoulou D, Sauer U. (2014) Advancing metabolic models with kinetic information. Curr Opin Biotechnol 13,29C:8-14.
Link H, Kochanowski K, Sauer U. (2013) Systematic identification of allosteric protein-metabolite interactions that control enzyme activity in vivo. Nature Biotechnol 31(4):357-61.
Link H, Buescher JM, Sauer U. (2012) Targeted and quantitative metabolomics in bacteria. Methods in Microbiology 39:127-150.
For a full list of publications see Google Scholar