![Dr Verónica Martinez Salazar](/sites/default/files/profiles/17330.png)
Overview
Background
Dr Veronica is an Advance Queensland Industry Research Fellow, under the supervision of Professor Esteban Marcellin and Professor Lars Nielsen. She received her Biotechnology Engineering degree at the University of Chile in 2007 and completed her Ph.D. in Systems Biology at The University of Queensland in 2014. After completing her Ph.D. she performed 2 years of postdoctoral training at The University of Queensland, as part of a collaboration project with Universidad de Chile. Both Ph.D. studies and postdoctoral training were financially supported by the Chilean Government, under a competitive scholarship and fellowship, respectively. Later she worked as a Postdoctoral Research Fellow- Biopharmaceutical Upstream Bioprocessing at the ARC Training Centre for Biopharmaceutical Innovation (CBI), The University of Queensland.
She has some teaching experience. She had performed tutorial teaching in several courses at Universidad de Chile and the University of Queensland. In 2016 she was in charge of the Beer and Biofuels practical, part of the subject: Biomolecular Engineering (CHEE4020) of the chemical engineering department at The University of Queensland. In 2023 she gave an invited speaker lecture about cell culture optimization at the Biologics course (BIOT7018) at The University of Queensland.
Her research focuses on the improvement of biopharmaceutical production using mammalian cells. She is specifically interested in (1) the development of computational tools for metabolic systems biology, and (2) the improvement of upstream bioprocess. On the tools side, she has worked on the integration of thermodynamic principles and omics datasets into genome-scale models to estimate metabolic flux distributions; and developed a method for the estimation of dynamic metabolic fluxes. She has used these tools to describe experimental mammalian cells data and to guide the improvement of biopharmaceutical production processes. She has also been involved in the development of the latest human and CHO genome-scale models. On the process side, she worked on the improvement of a high cell density culture, using systems biology tools to develop a cell line adapted to high cell density and to develop an improved upstream bioprocess.
Her current project focuses on the development of a platform to generate good producer cell factories of difficult-to-express proteins.
Availability
- Dr Verónica Martinez Salazar is:
- Available for supervision
Fields of research
Qualifications
- Doctor of Philosophy, The University of Queensland
Research interests
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Computacional System Biology
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Cell culture upstream bioprocess optimization
Works
Search Professor Verónica Martinez Salazar’s works on UQ eSpace
2024
Journal Article
Harnessing metabolic plasticity in CHO cells for enhanced perfusion cultivation
Nöbel, Matthias, Barry, Craig, MacDonald, Michael A., Baker, Kym, Shave, Evan, Mahler, Stephen, Munro, Trent, Martínez, Verónica S., Nielsen, Lars K. and Marcellin, Esteban (2024). Harnessing metabolic plasticity in CHO cells for enhanced perfusion cultivation. Biotechnology and Bioengineering, 121 (4), 1371-1383. doi: 10.1002/bit.28613
2024
Journal Article
Amino acid degradation pathway inhibitory by‐products trigger apoptosis in CHO cells
Martínez, Verónica S., Rodriguez, Karen, McCubbin, Timothy, Tong, Junjie, Mahler, Stephen, Shave, Evan, Baker, Kym, Munro, Trent P. and Marcellin, Esteban (2024). Amino acid degradation pathway inhibitory by‐products trigger apoptosis in CHO cells. Biotechnology Journal, 19 (2) ARTN e2300338, e2300338. doi: 10.1002/biot.202300338
2022
Journal Article
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
2022
Journal Article
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) e2083465, 1-13. doi: 10.1080/19420862.2022.2083465
2022
Journal Article
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
2021
Journal Article
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, 42 (7), 1-17. doi: 10.1080/07388551.2021.1998821
2020
Journal Article
‘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
2020
Journal Article
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
2019
Journal Article
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
2017
Journal Article
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
2016
Journal Article
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
2016
Journal Article
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
2016
Journal Article
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
2015
Journal Article
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
2014
Journal Article
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
2014
Journal Article
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
2014
Book Chapter
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
2013
Journal Article
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
2013
Other Outputs
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.
2010
Journal Article
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
Supervision
Availability
- Dr Verónica Martinez Salazar is:
- Available for supervision
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Available projects
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CHO genome wide CRISPR screening for genes that enable higher yields of bispecific antibodies
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Development of analytical tools for high-throughput identification and characterization of bispecific antibodies
Supervision history
Completed supervision
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2023
Doctor Philosophy
Exploring Metabolic Demands of High Cell Density Chinese Hamster Ovary Cell Culture - Studying Apoptosis Resistance in Perfusion Culture
Principal Advisor
Other advisors: Professor Esteban Marcellin, Dr Gert Talbo
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2023
Doctor Philosophy
Modelling and characterising life and death of mammalian suspension cultures
Associate Advisor
Other advisors: Professor Lars Nielsen, Dr Gert Talbo, Professor Esteban Marcellin
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2022
Doctor Philosophy
Cell Line Development for High Density Culture of CHO Cells in Perfusion: Applications of Apoptosis Resistance
Associate Advisor
Other advisors: Professor Peter Gray, Professor Esteban Marcellin
Media
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