2015 Publications

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Taniguchi H. and Wendisch V. F.
Exploring the role of sigma factor gene expression on production by Corynebacterium glutamicum: sigma factor H and FMN as example
This study revealed that inducible and gradable overexpression of sigma factor genes is an interesting approach to switch gene expression profiles and to discover untapped potential of bacteria for chemical production.
Frontiers in Microbiology, 2015, doi:http://dx.doi.org/10.3389/fmicb.2015.00740
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Oertel D., Schmitz S., Freudl R.
A TatABC-Type Tat Translocase Is Required for Unimpaired Aerobic Growth of Corynebacterium glutamicum ATCC13032
A TatABC translocase is used as the physiologically relevant functional unit for Tat-dependent protein translocation in C. glutamicum and, most likely, also in other TatB-containing Actinobacteria.
PLoS ONE 10(4): e0123413. doi:10.1371/journal.pone.0123413
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Bleckmann M., Fritz M. H.-Y., Bhuju S., Jarek M., Schürig M., Geffers R., Benes V., Besir H., van den Heuvel J.
Genomic Analysis and Isolation of RNA Polymerase II Dependent Promoters from Spodoptera frugiperda
Endogenous Sf21 promoters were compared to early viral promoters for their efficiency to trigger eGFP expression using transient plasmid based transfection in a BioLector Microfermentation system.
PLoS ONE 10(8): e0132898. doi:10.1371/journal.pone.0132898
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Unthan S.,Radek A.,Wiechert W.,Oldiges M. and Noack S.
Bioprocess automation on a Mini Pilot Plant enables fast quantitative microbial phenotyping
A set of C. glutamicum L-lysine producer strains were characterized, a unique strain showing increased L-lysine titers were identified. The substrate uptake kinetics of a D-xylose-converting strain during cultivation were analyzed.
Microbial Cell Factories, 2015, 14: 32, doi:10.1186/s12934-015-0216-6
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Toeroek C., Cserjan-Puschmann M., Bayer K. and Striedner G
Fed-batch like cultivation in a micro-bioreactor: screening conditions relevant for Escherichia coli based production processes
In the BioLector online monitoring of cell growth, dissolved oxygen (DO) and pH was performed. This robust microtiter plate cultivation protocol allows screening of E. coli systems under conditions comparable to lab-scale bioreactor cultivations.
SpringerPlus, 2015, 4: 490, doi:10.1186/s40064-015-1313-z
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Coutte F., Niehren J., Dhali D., John M., Versari C. and Jacques Ph.
Modeling leucine's metabolic pathway and knockout prediction improving the production of surfactin, a biosurfactant from Bacillus subtilis
A Bacillus subtilis mutant strain overexpressing surfactin biosynthetic genes was previously constructed. A three step approach for leucine overproduction directed by methods from computational biology is presented.
Biotechnology Journal, 2015, 10(8): 1216–1234, doi:10.1002/biot.201400541
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Baumann P., Hahn T. and Hubbuch J
High‐throughput micro‐scale cultivations and chromatography modeling: Powerful tools for integrated process development
A combined optimization approach based on high‐throughput micro‐scale cultivation experiments and chromatography modeling. A case study for the Cherry‐tagged enzyme Glutathione‐S‐Transferase from Escherichia coli SE1.
Biotechnology and Bioengineering, 2015, doi:10.1002/bit.25630
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Wewetzer S. J., Kunze M., Ladner T., Luchterhand B., Roth S., Rahmen N., Kloß R., Costa e Silva A., Regestein L. and Büchs J.
Parallel use of shake flask and microtiter plate online measuring devices (RAMOS and BioLector) reduces the number of experiments in laboratory-scale stirred tank bioreactors
By adjusting the same OTRmax, the results from the RAMOS and BioLector online monitoring systems supplemented each other very well for all studied microbial systems (E. coli, G. oxydans, K. lactis) and culture conditions.
Journal of Biological Engineering, 2015, 9: 9, doi:10.1186/s13036-015-0005-0
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Unthan S., Baumgart M., Radek A., Herbst M., Siebert D., Brühl N., Bartsch A., Bott M., Wiechert W., Marin K., Hans S., Krämer R., Seibold G., Frunzke J., Kalinowski J., Rückert C., Wendisch V.F., Noack S.
Chassis organism from Corynebacterium glutamicum – a top-down approach to identify and delete irrelevant gene clusters
Each native gene was evaluated for its essentiality considering expression levels, phylogenetic conservation, and knockout data. 41 gene clusters were determined ranging from 3.7 to 49.7 kbp as target sites for deletion. 36 deletions were successful...
Biotechnol J. 2015 Feb; 10(2): 290–301., doi: 10.1002/biot.201400041
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