Dr. Hannes Link

Dynamic Control of Metabolic Networks

Curriculum Vitae

Hannes Link (born 1979)
Diploma in Chemical Engineering, TU Munich, 2005
Ph.D., 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

Metabolic networks respond rapidly to internal and external perturbations by changing fluxes, metabolite concentrations and enzyme levels. Our group is interested in the regulation of these responses and their functional relevance in microbes. Therefore, we investigate known metabolic control circuits, map novel regulatory interactions and engineer synthetic metabolic regulation. The ultimate goal is to improve metabolically engineered strains by enabling self-optimization of overproduction pathways for chemicals.

Group of Hannes Link by February 2018

Selected Publications

Sander T, Farke N, Diehl C, Kuntz M, Glatter T, Link H (2019) Allosteric feedback inhibition enables robust amino acid biosynthesis in E. coli by enforcing enzyme overabundance. Cell Systems 8, 1-10.

Beuter D, Gomes-Filho J, Randau L, Díaz-Pascual F, Drescher K, Link H (2018) Selective enrichment of slow-growing bacteria in a metabolism-wide CRISPRi library with a TIMER protein. ACS Synthetic Biology 7, 2775–2782.

Donati S, Sander T, Link H (2017) Crosstalk between transcription and metabolism: how much enzyme is enough for a cell? WIREs Syst Biol Med 10 (1), e1396.

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.

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, Kochanowski K, Sauer U. (2013) Systematic identification of allosteric protein-metabolite interactions that control enzyme activity in vivo. Nature Biotechnology 31(4):357-61.

For a full list of publications see   Google Scholar

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