Research Group: Experimental Systems Biology
Contact:
Dr. Katja Bettenbrock
Max-Planck-Institute for the Dynamics of Complex
Technical Systems
Sandtorstr. 1
D-39106 Magdeburg
Germany
Phone: +49 391 6110 249
+49 391 6110 377 (Lab)
Fax: +49 391 6110 510
E-Mail: bettenbrock@mpi-magdeburg.mpg.de
Brief Biography
·
Born 1967 in Osnabrück
·
Studies of Biology at the University of Osnabrück from 1987 to 1993
·
Diploma Thesis
"PTS-abhängige Chemotaxis bei Escherichia coli: in vivo und in
vitro Versuche zur Rolle der Phosphoproteine FPr, HPr und EnzymI",
at the AG Genetik of the
University of Osnabrück, Prof. Lengeler
·
from 1993-1997 PhD thesis "Molekulare
Untersuchung eines PTS-abhängigen und eines Leloir-Abbauwegs für D-Galaktose
bei Lactobacillus casei
64H" at the AG Genetik of the University of Osnabrück, Prof. Lengeler
·
January to August 1998 scientific coworker at the
university hospital of Ulm in the group of Prof. Podbielski
in the department of Medical Microbiology and Hygienics
·
September 1998 – May 2011 member
of the group "Systems Biology" at the Max-Planck-Institute
for the Dynamics of Complex Technical Systems
·
since June 2011 team leader “Experimental Systems Biology”
at the Max-Planck-Institute for the
Dynamics of Complex Technical Systems
Research Interests
Biological
systems are very complex. They are characterized by a great number of molecules
that interact with each other. These interactions lead to complex patterns of
regulation that influence e.g. gene expression or enzyme activities. Because of
these complex interactions and regulations, biological systems are difficult to
understand intuitively. For this reason mathematical modeling of biological
systems becomes more and more vital. The development of efficient modeling
strategies and their application for the analysis of different biological systems, is the main focus of the group "Systems
Biology". To achieve this, molecular biological and microbiological
research is combined with mathematical modeling and the application of systems
theoretical methods.
We chose to use E. coli as a
model organism because (i) E. coli represents a biologically, medically and
industrially significant organism. (ii) There are powerful experimental
techniques allowing for well controlled growth and for the generation of
reproducible and quantitative data (e.g. measurements of metabolites,
transcription and protein levels, generation of
defined mutants). (iii) The systems biology group owns experimental facilities
optimally suited for the analysis of mircoorganisms.
Starting from our first
project the analysis and mathematical modelling of Catabolite
Repression in E. coli our research
interests are now
1. Quantitative
analysis of specific regulation and global control in E. coli
2.
Model-Based modification of cellular regulation in E. coli
3.
Analysis of bacterial regulations with respect to population and single cell
behavior
Publications:
1. Renate
Lux, Knut Jahreis, Katja Bettenbrock,
John S, Parkinson and Joseph W. Lengeler. 1995. Coupling the phosphotransferase system and the methyl-accepting chemotaxis protein-dependent chemotaxis
signaling pathways of Escherichia coli. Proc.
Natl. Acad. Sci. USA, Vol 92, pp.11583-11587
2. Joseph
W. Lengeler, Katja Bettenbrock
and Renate Lux . 1994. Signal Transduction through Phosphotransferase Systems in Phosphate in
Microorganisms: Cellular and Molecular
Biology, A. Torriani-Gorrini, E. yagil
and S. Silver (eds), ASM, Washington, DC20005
3. K. Bettenbrock and C.-A. Alpert. 1998. The gal Genes of the Leloir Pathway of Lactobacillus casei
64H. Appl. Env. Micobiol.,
Vol. 64, No.6, p.2013-2019
4. K. Bettenbrock,
U. Siebers, P. Ehrenreich
und C.-A. Alpert. 1999. Lactobacillus
casei 64H Contains a Phosphoenolpyruvate-dependent
Phosphotransferase System for Uptake of galactose, as Confirmed by
Analysis of ptsH
and Different gal Mutants. J. Bacteriol., Vol.181, No.1 pp.225-230
5. A. Podbielski,
M. Woischnik, B. Kreikemeyer,
K. Bettenbrock and B. A. (Leonard) Buttaro. 1999.
Cysteine protease SpeB expression in group A streptococci is influenced by the nutritional environment
but SpeB does not contribute to obtaining essential
nutrients. Med. Microbiol.
Immunol., Vol. 188, p.99-109
6. A. Kremling, K. Bettenbrock, B. Laube, K. Jahreis,
J.W. Lengeler and E.D.
Gilles. 2001.
The organisation of metabolic reaction networks
7. J. Stelling, A. Kremling, M. Ginkel, K. Bettenbrock, E.D.
Gilles. 2001 Towards a virtual
biological laboratory. in Foundations of Systems Biology H. Kitano (ed), MIT Press, Cambridge, Massachusetts
8. J. Stelling, S. Klamt, K. Bettenbrock, S. Schuster und E.-D. Gilles. 2002.
Metabolic network structure determines key aspects of functionality and
regulation. Nature, Vol. 420, pp 190-193
9. A. Kremling, S. Fischer, T. Sauter,
K. Bettenbrock and E.D. Gilles. 2004 Time hierarchies in the Escherichia
coli carbohydrate uptake and metabolism. Biosystems
Vol. 73, pp 57-71
10.
Saez-Rodriguez J, Kremling A, Conzelmann H, Bettenbrock K. And
E. D. Gilles . 2004. Modular analysis of signal
transduction networks. IEEE CONTROL SYSTEMS MAGAZINE 24 (4): 35-52 AUG
11.
Kremling A., J. Stelling, K. Bettenbrock, S.
Fischer and E.D. Gilles. 2005. Metabolic Networks: Biology meets engineering
sciences. In : Systems Biology Definitions and
Perspectives, pp 215-234. Springer
12.
Bettenbrock
K., S. Fischer, A. Kremling, K. Jahreis,
T. Sauter and E.D. Gilles.2006. A quantitative
approach to catabolite repression in Escherichia
coli. J. Biol. Chem. Vol. 281 Issue 5, pp
2578-2584,
13.
Bettenbrock, K.;
T. Sauter, K. Jahreis; J.W. Lengeler
and E.-D. Gilles. 2007. Analysis of the correlation between growth rates, EIIACrr phosphorylation ,
and intracellular cAMP levels in Escherichia coli K-12. J. Bacteriol. 189,
19: 6891-6900
14.
A. Kremling, K. Bettenbrock
and E.-D. Gilles. 2007. Analysis of
global control of Escherichia coli
carbohydrate uptake.
15.
A. Kremling; K. Bettenbrock; E.D. Gilles. 2008.A
feed-forward loop guarantees robust behavior in Escherichia coli carbohydrate uptake. Bioinformatics 2008; doi: 10.1093/bioinformatics/btn010A
16.
A. Kremling, S. Fischer and K.
Bettenbrock. 2009. Catabolite repression in Escherichia col i-
a comparison of modelling approaches. FEBS J. 276: 594-602
17.
D. Vester, A. Lagoda, C. Seitz, S.
Heldt, K. Bettenbrock, Y. Genzel und U. Reichl. 2010.
Real-time RT-qPCR assay for the analysis of human
influenza A virus transcription and replication
dynamics. J Virol Methods 168 (1-2):63-71.
18.
S. Steinsiek, S. Frixel, S. Stagge, SUMO and K. Bettenbrock. 2011. Characterization
of E. coli MG1655 and frdA and sdhC mutants at various aerobiosis levels. J. Biotechnol.
154:35-45
19.
A. Marbach and K. Bettenbrock. 2011. lac
operon induction in Escherichia coli:
Systematic comparison of IPTG and TMG induction and influence of the transacetylase LacA. J. Biotechnol. in press
Papers as part of the SysMO SUMO consortium:
1. Maleki-Dizaji, S.; Holcombe, M. Rolfe,
M.D:, Fisher, P., Green, J., Poole, R.K., Graham,
A.I., and SysMO-SUMO consortium.
2. Rolfe,
M.D, Ter Beek, A., Graham
A.I., Trotter, E.W., Shazad Asif,
H.M., SysMO-SUMO, Sanguinetti,
G., de Mattos, J.Poole R.K
and J. Green. 2011. Transcript
profiling and inference of Escherichia
coli K-12 ArcA Activity across the Range of
Physiologically Relevant Oxygen concentrations. J Biol
Chem. 286 (1): 10147-54