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Dr Verónica Martinez Salazar
Dr

Verónica Martinez Salazar

Email: 
Phone: 
+61 7 334 63149

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

Qualifications

  • Doctor of Philosophy, The University of Queensland

Research interests

  • Computacional System Biology

  • Cell culture upstream bioprocess optimization

Works

Search Professor Verónica Martinez Salazar’s works on UQ eSpace

22 works between 2007 and 2024

1 - 20 of 22 works

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

Harnessing metabolic plasticity in CHO cells for enhanced perfusion cultivation

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

Amino acid degradation pathway inhibitory by‐products trigger apoptosis in CHO cells

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

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

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

Engineering death resistance in CHO cells for improved perfusion culture

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

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

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

Perfusion culture of Chinese Hamster Ovary cells for bioprocessing applications

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

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

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

Attenuating apoptosis in Chinese hamster ovary cells for improved biopharmaceutical production

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

Engineering CHO cells galactose metabolism to reduce lactate synthesis

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

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

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

Quantification of microbial phenotypes

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

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

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

Recon 2.2: from reconstruction to model of human metabolism

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

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

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

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

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

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

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

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

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

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

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.

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

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

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

Funding

Current funding

  • 2023 - 2026
    Biopharmaceutical 4.0: Designing cellular factories for difficult to express proteins
    Advance Queensland Industry Research Fellowships
    Open grant

Past funding

  • 2021 - 2023
    Dr Veronica Martinez Salazar - AQ WRAP
    Advance Queensland Women's Research Assistance Program
    Open grant

Supervision

Availability

Dr Verónica Martinez Salazar is:
Available for supervision

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Available projects

  • CHO genome wide CRISPR screening for genes that enable higher yields of bispecific antibodies

  • Development of analytical tools for high-throughput identification and characterization of bispecific antibodies

Media

Enquiries

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