The University of Queensland

NExT: integration of thermodynamic constraints and metabolomics data into a metabolic network

Martínez, Veronica Sofía and Nielsen, LK (2014). NExT: integration of thermodynamic constraints and metabolomics data into a metabolic network. Metabolic Flux Analysis: Methods and Protocols. (pp. 65-78) edited by Jens O. Kromer, Lars K. Nielsen and Lars M. Blank. New York, NY United States: Humana Press. doi: 10.1007/978-1-4939-1170-7_4

The topology of genome-scale metabolic reconstructions unravels independent modules and high network flexibility

Martínez, Verónica S., Saa, Pedro A., Jooste, Jason, Tiwari, Kanupriya, Quek, Lake-Ee and Nielsen, Lars K. (2022). The topology of genome-scale metabolic reconstructions unravels independent modules and high network flexibility. PLoS Computational Biology, 18 (6) e1010203, e1010203. doi: 10.1371/journal.pcbi.1010203

Engineering death resistance in CHO cells for improved perfusion culture

MacDonald, Michael A., Nöbel, Matthias, Martínez, Verónica S., Baker, Kym, Shave, Evan, Gray, Peter P., Mahler, Stephen, Munro, Trent, Nielsen, Lars K. and Marcellin, Esteban (2022). Engineering death resistance in CHO cells for improved perfusion culture. mAbs, 14 (1) 2083465, 2083465. doi: 10.1080/19420862.2022.2083465

Modelling apoptosis resistance in CHO cells with CRISPR‐mediated knock‐outs of Bak1, Bax, and Bok

MacDonald, Michael A., Barry, Craig, Groves, Teddy, Martínez, Verónica S., Gray, Peter P., Baker, Kym, Shave, Evan, Mahler, Stephen, Munro, Trent, Marcellin, Esteban and Nielsen, Lars K. (2022). Modelling apoptosis resistance in CHO cells with CRISPR‐mediated knock‐outs of Bak1, Bax, and Bok. Biotechnology and Bioengineering, 119 (6), 1380-1391. doi: 10.1002/bit.28062

Perfusion culture of Chinese Hamster Ovary cells for bioprocessing applications

MacDonald, Michael A., Nöbel, Matthias, Roche Recinos, Dinora, Martínez, Verónica S., Schulz, Benjamin L., Howard, Christopher B., Baker, Kym, Shave, Evan, Lee, Yih Yean, Marcellin, Esteban, Mahler, Stephen, Nielsen, Lars Keld and Munro, Trent (2021). Perfusion culture of Chinese Hamster Ovary cells for bioprocessing applications. Critical Reviews in Biotechnology, 1-17. doi: 10.1080/07388551.2021.1998821

‘Omics driven discoveries of gene targets for apoptosis attenuation in CHO cells

Orellana, Camila A., Martínez, Verónica S., MacDonald, Michael A., Henry, Matthew N., Gillard, Marianne, Gray, Peter P., Nielsen, Lars K., Mahler, Stephen and Marcellin, Esteban (2020). ‘Omics driven discoveries of gene targets for apoptosis attenuation in CHO cells. Biotechnology and Bioengineering, 118 (1) bit.27548, 481-490. doi: 10.1002/bit.27548

Attenuating apoptosis in Chinese hamster ovary cells for improved biopharmaceutical production

Henry, Matthew N., MacDonald, Michael A., Orellana, Camila A., Gray, Peter P., Gillard, Marianne, Baker, Kym, Nielsen, Lars K., Marcellin, Esteban, Mahler, Stephen and Martinez, Veronica S. (2020). Attenuating apoptosis in Chinese hamster ovary cells for improved biopharmaceutical production. Biotechnology and Bioengineering, 117 (4) bit.27269, 1187-1203. doi: 10.1002/bit.27269

Engineering CHO cells galactose metabolism to reduce lactate synthesis

Jiménez, N., Martínez, V. S. and Gerdtzen, Z. P. (2019). Engineering CHO cells galactose metabolism to reduce lactate synthesis. Biotechnology Letters, 41 (6-7), 779-788. doi: 10.1007/s10529-019-02680-8

Toward Synthetic Biology Strategies for Adipic Acid Production: An in Silico Tool for Combined Thermodynamics and Stoichiometric Analysis of Metabolic Networks

Averesch, Nils J. H., Martínez, Verónica S., Nielsen, Lars K. and Krömer, Jens O. (2017). Toward Synthetic Biology Strategies for Adipic Acid Production: An in Silico Tool for Combined Thermodynamics and Stoichiometric Analysis of Metabolic Networks. ACS Synthetic Biology, 7 (2), 490-509. doi: 10.1021/acssynbio.7b00304

Quantification of microbial phenotypes

Martinez, Verónica S. and Kromer, Jens O. (2016). Quantification of microbial phenotypes. Metabolites, 6 (4) 45, 45. doi: 10.3390/metabo6040045

A consensus genome-scale reconstruction of Chinese hamster ovary cell metabolism

Hefzi, Hooman, Ang, Kok Siong, Hanscho, Michael, Bordbar, Aarash, Ruckerbauer, David, Lakshmanan, Meiyappan, Orellana, Camila A., Baycin-Hizal, Deniz, Huang, Yingxiang, Ley, Daniel, Martinez, Veronica S., Kyriakopoulos, Sarantos, Jimenez, Natalia E., Zielinski, Daniel C., Quek, Lake-Ee, Wulff, Tune, Arnsdorf, Johnny, Li, Shangzhong, Lee, Jae Seong, Paglia, Giuseppe, Loira, Nicolas, Spahn, Philipp N., Pedersen, Lasse E., Gutierrez, Jahir M., King, Zachary A., Lund, Anne Mathilde, Nagarajan, Harish, Thomas, Alex, Abdel-Haleem, Alyaa M. ... Lewis, Nathan E. (2016). A consensus genome-scale reconstruction of Chinese hamster ovary cell metabolism. Cell Systems, 3 (5), 434-443.e8. doi: 10.1016/j.cels.2016.10.020

Recon 2.2: from reconstruction to model of human metabolism

Swainston, Neil, Smallbone, Kieran, Hefzi, Hooman, Dobson, Paul D., Brewer, Judy, Hanscho, Michael, Zielinski, Daniel C., Ang, Kok Siong, Gardiner, Natalie J., Gutierrez, Jahir M., Kyriakopoulos, Sarantos, Lakshmanan, Meiyappan, Li, Shangzhong, Liu, Joanne K., Martinez, Veronica S., Orellana, Camila A., Quek, Lake-Ee, Thomas, Alex, Zanghellini, Juergen, Borth, Nicole, Lee, Dong-Yup, Nielsen, Lars K., Kell, Douglas B., Lewis, Nathan E. and Mendes, Pedro (2016). Recon 2.2: from reconstruction to model of human metabolism. Metabolomics, 12 (7) 109, 109. doi: 10.1007/s11306-016-1051-4

Dynamic metabolic flux analysis using B-splines to study the effects of temperature shift on CHO cell metabolism

Martinez, Verónica S., Buchsteiner, Maria, Gray, Peter, Nielsen, Lars K. and Quek, Lake-Ee (2015). Dynamic metabolic flux analysis using B-splines to study the effects of temperature shift on CHO cell metabolism. Metabolic Engineering Communications, 2, 46-57. doi: 10.1016/j.meteno.2015.06.001

Reducing Recon 2 for steady-state flux analysis of HEK cell culture

Quek, Lake-Ee, Dietmair, Stefanie, Hanscho, Michael, Martinez, Veronica S., Borth, Nicole and Nielsen, Lars K. (2014). Reducing Recon 2 for steady-state flux analysis of HEK cell culture. Journal of Biotechnology, 184, 172-178. doi: 10.1016/j.jbiotec.2014.05.021

Network thermodynamic curation of human and yeast genome-scale metabolic models

Martinez, Veronica S., Quek, Lake-Ee and Nielsen, Lars K. (2014). Network thermodynamic curation of human and yeast genome-scale metabolic models. Biophysical Journal, 107 (2), 493-503. doi: 10.1016/j.bpj.2014.05.029

Flux balance analysis of CHO cells before and after a metabolic switch from lactate production to consumption

Martínez, Verónica S., Dietmair, Stefanie, Quek, Lake-Ee, Hodson, Mark P., Gray, Peter and Nielsen, Lars K. (2013). Flux balance analysis of CHO cells before and after a metabolic switch from lactate production to consumption. Biotechnology and Bioengineering, 110 (2), 660-666. doi: 10.1002/bit.24728

Viral vectors for the treatment of alcoholism: Use of metabolic flux analysis for cell cultivation and vector production

Martinez, V., Gerdtzen, Z. P., Andrews, B. A. and Asenjo, J. A. (2010). Viral vectors for the treatment of alcoholism: Use of metabolic flux analysis for cell cultivation and vector production. Metabolic Engineering, 12 (2), 129-137. doi: 10.1016/j.ymben.2009.09.003

A comparative study of cell growth and adenovirus production using suspension and stationary cell culture

Andrews, Barbara A., Martinez, Veronica, Asenjo, Juan A. and Gerdtzen, Ziomara P. (2008). A comparative study of cell growth and adenovirus production using suspension and stationary cell culture. 13th International Biotechnology Symposium and Exhibition, Dalian, China, 12-17 October 2008 . Amsterdam, Netherlands: Elsevier . doi: 10.1016/j.jbiotec.2008.07.285

Media optimization and metabolic flux analysis of HEK293 cells for adenovirus production

Martinez, Veronica, Gerdtzen, Ziomara P., Asenjo, Juan A. and Andrews, Barbara A. (2007). Media optimization and metabolic flux analysis of HEK293 cells for adenovirus production. 13th European Congress on Biotechnology (ECB 13), Barcelona, Spain, 16-19 September 2007. Amsterdam, The Netherlands: Elsevier . doi: 10.1016/j.jbiotec.2007.07.360

Using network thermodynamics and metabolomics for the study of dynamic mammalian cell metabolism

Martinez Salazar, Veronica (2013). Using network thermodynamics and metabolomics for the study of dynamic mammalian cell metabolism. PhD Thesis, Australian Institute for Bioengineering and Nanotechnology, The University of Queensland.