Michael Hanscho

Austrian Centre of Industrial Biotechnology (Austria) — Austria

Biochemistry, Genetics and Molecular Biology · Life Sciences

11h-index1.3kcitations38works0.02yr avg
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Research Topics

Microbial Metabolic Engineering and Bioproduction(16), Viral Infectious Diseases and Gene Expression in Insects(12), Biofuel production and bioconversion(6), Gene Regulatory Network Analysis(6), CRISPR and Genetic Engineering(4)

Publications38 total

Inclusion of maintenance energy improves the intracellular flux predictions of CHO
PLoS Computational Biology·2021· 11 citedOpen Access
Inclusion of maintenance energy improves the intracellular flux predictions of CHO
2020· 2 citedOpen Access
What CHO is made of: Variations in the biomass composition of Chinese hamster ovary cell lines
Metabolic Engineering·2020· 79 citedOpen Access
Genetic and Epigenetic Variation across Genes Involved in Energy Metabolism and Mitochondria of Chinese Hamster Ovary Cell Lines
Biotechnology Journal·2019· 21 citedOpen Access
Transient manipulation of the expression level of selected growth rate correlating microRNAs does not increase growth rate in CHO-K1 cells
Journal of Biotechnology·2019· 3 cited
Epigenetic regulation of gene expression in Chinese Hamster Ovary cells in response to the changing environment of a batch culture
Biotechnology and Bioengineering·2018· 54 citedOpen Access
Determination of CHO biomass composition
New Biotechnology·2018
Designing Optimized Production Hosts by Metabolic Modeling
Methods in molecular biology·2017· 1 cited
CHOmine: an integrated data warehouse for CHO systems biology and modeling
Database·2017· 6 citedOpen Access
What can mathematical modelling say about CHO metabolism and protein glycosylation?
Computational and Structural Biotechnology Journal·2017· 48 citedOpen Access
On-line clean-up and LC-MS analysis of primary metabolites in cell culture supernatants
Analytical Methods·2017· 2 citedOpen Access
Toward Genome‐Scale Metabolic Pathway Analysis
Industrial Biotechnology·2016· 7 cited
A Consensus Genome-scale Reconstruction of Chinese Hamster Ovary Cell Metabolism
Cell Systems·2016· 263 citedOpen Access
Comparison of EFM calculation with and without taking into account gene regulatory information.
Figshare·2016Open Access
Comparison of the number of intermediate EFMs as a function of the iteration step for simulations with gene regulatory information (rule GR1, GR2, GR3, and GR4) and without gene regulatory information.
Figshare·2016Open Access
Changes in the reaction activity frequency with () and without () applying the four GRs listed in Table 6.
Figshare·2016Open Access
Comparison of runs with (green) and without (red) resorting the reaction order for a case with four rules (GR1, GR2, GR3, and GR4).
Figshare·2016Open Access
Number of modes as a function of all possible combinations of the four iteration phase rules.
Figshare·2016Open Access
Runtime speedup (ratio of execution time without resorting to execution time with resorting reactions) as a function of used gene rules.
Figshare·2016Open Access
Kernel matrix <i>K</i> of the extended stoichiometric matrix shown in S2 Table.
Figshare·2016Open Access
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Frequent Co-authors

Jürgen Zanghellini(30), Christian Jungreuthmayer(18), Nicole Borth(15), David E. Ruckerbauer(14), Eyal David(12), Platzer Matthias(12), Matthias P. Gerstl(7), Lars K. Nielsen(5), Verónica S. Martínez(4), Lake‐Ee Quek(4), Dong‐Yup Lee(4), Nathan E. Lewis(4), Diana Széliová(4), Sarah N. Galleguillos(4), Hooman Hefzi(3), Daniel C. Zielinski(3), Kok Siong Ang(3), Jahir M. Gutierrez(3), Sarantos Kyriakopoulos(3), Meiyappan Lakshmanan(3)