Imperial College London

Professor Cleo Kontoravdi

Faculty of EngineeringDepartment of Chemical Engineering

Professor of Biological Systems Engineering
 
 
 
//

Contact

 

+44 (0)20 7594 6655cleo.kontoravdi98 Website

 
 
//

Location

 

310ACE ExtensionSouth Kensington Campus

//

Summary

 

Publications

Publication Type
Year
to

143 results found

Polizzi KM, Kontoravdi C, 2014, Genetically-encoded biosensors for monitoring cellular stress in bioprocessing, Current Opinion in Biotechnology, Vol: 31, Pages: 50-56, ISSN: 1879-0429

Journal article

Todri E, Amenaghawon AN, Jimenez del Val I, Leak DJ, Kontoravdi C, Kucherenko S, Shah Net al., 2014, Global sensitivity analysis and meta-modeling of an ethanol production process, Chemical Engineering Science, Vol: 114, Pages: 114-127

Traditional ethanol fermentation becomes inhibitory to microbial growth at ethanol concentrations that depend on the producer organism, leading to reduced ethanol productivity. Continuous ethanol removal from the fermenter could increase productivity and potentially reduce the cost of product recovery. In this work, continuous ethanol removal via in situ gas stripping in a stirred tank reactor has been investigated as a means of reducing growth inhibition and improving productivity. A dynamic mathematical model that couples ethanol fermentation with gas stripping has been developed. This has been linked to a flash separation model to represent the initial steps of product recovery. Global sensitivity analysis was used to reduce the number of uncertain parameters, the values of which were estimated with satisfactory accuracy using experimental data for ethanol production from a metabolically engineered strain of the thermophile Geobacillus thermoglucosidasius growing on cellobiose. Simulation results show that continuous ethanol fermentation with product removal by gas stripping is feasible, with the associated energy requirement, costs of gas compression and fermenter agitation being a function of the stripping gas flow rate. Finally, the conditions under which gas stripping is a practical product recovery method were established.

Journal article

Jedrzejewski PM, Jimenez del Val I, Constantinou A, Dell A, Haslam SM, Polizzi KM, Kontoravdi Cet al., 2014, Towards controlling the glycoform: a model framework linking extracellular metabolites to antibody glycosylation, International Journal of Molecular Sciences, Vol: 15, Pages: 4492-4522, ISSN: 1422-0067

Glycoproteins represent the largest group of the growing number of biologically-derived medicines. The associated glycan structures and their distribution are known to have a large impact on pharmacokinetics. A modelling framework was developed to provide a link from the extracellular environment and its effect on intracellular metabolites to the distribution of glycans on the constant region of an antibody product. The main focus of this work is the mechanistic in silico reconstruction of the nucleotide sugar donor (NSD) metabolic network by means of 34 species mass balances and the saturation kinetics rates of the 60 metabolic reactions involved. NSDs are the co-substrates of the glycosylation process in the Golgi apparatus and their simulated dynamic intracellular concentration profiles were linked to an existing model describing the distribution of N-linked glycan structures of the antibody constant region. The modelling framework also describes the growth dynamics of the cell population by means of modified Monod kinetics. Simulation results match well to experimental data from a murine hybridoma cell line. The result is a modelling platform which is able to describe the product glycoform based on extracellular conditions. It represents a first step towards the in silico prediction of the glycoform of a biotherapeutic and provides a platform for the optimisation of bioprocess conditions with respect to product quality.

Journal article

Kyriakopoulos S, Polizzi KM, Kontoravdi C, 2013, Dynamic profiling of amino acid transport and metabolism in Chinese hamster ovary cell culture, 23rd European Society for Animal Cell Technology (ESACT) Meeting: Better Cells for Better Health

Conference paper

Jimenez del Val I, Constantinou A, Dell A, Haslam S, Polizzi KM, Kontoravdi Cet al., 2013, A quantitative and mechanistic model for monoclonal antibody glycosylation as a function of nutrient availability during cell culture, 23rd European Society for Animal Cell Technology (ESACT) Meeting: Better Cells for Better Health

Conference paper

Chen N, Bennett MH, Kontoravdi C, 2013, Analysis of Chinese hamster ovary cell metabolism through a combined computational and experimental approach, Cytotechnology, Vol: Online First

Journal article

Kontoravdi C, Samsatli NJ, Shah N, 2013, Development and design of bio-pharmaceutical processes, Current Opinion in Chemical Engineering

Journal article

Behjousiar A, Constantinou A, Polizzi KM, Kontoravdi Cet al., 2013, FIBS-enabled non-invasive metabolic profiling, Journal of Visualised Experiments (accepted)

A description of how to calibrate Förster Resonance Energy Transfer integrated biological sensors (FIBS) for in situ metabolic profiling is presented. The FIBS can be used to estimate intracellular metabolite concentrations non-invasively aiding in the development of metabolic models and high throughput screening of bioprocess conditions.

Journal article

Kyriakopoulos S, Polizzi KM, Kontoravdi C, 2013, Comparative analysis of amino acid metabolism and transport in CHO variants with different levels of productivity, Journal of Biotechnology, Vol: 168, Pages: 543-551

Journal article

Jimenez del Val I, Kyriakopoulos S, Polizzi KM, Kontoravdi Cet al., 2013, An optimised method for extraction and quantification of nucleotides and nucleotide sugars from mammalian cells, Analytical Biochemistry, Vol: 443, Pages: 172-180

Journal article

Royle KE, Jimenez del Val I, Kontoravdi C, 2013, Integration of models and experimentation to optimise the production of potential biotherapeutics, Drug Discovery Today, Vol: In Press

Journal article

Royle KE, Kontoravdi C, 2013, A systems biology approach to optimising hosts for industrial protein production, Biotechnology Letters

The vast number of expression hosts available for recombinant protein production have a variety of advantages and disadvantages; none, however, is globally optimal and host selection is frequently a compromise. Strain development requires a holistic approach, which systems biology can supply by delineating experimental data sets with computational modelling. Here, we review recent advances in computational models, in parallel with an expansion of the molecular toolbox, in the pursuit of optimal host strains for industrial protein production.

Journal article

Stefani I, Kontoravdi C, Polizzi K, 2013, O1–08–04: Analysis of the profile of unfolded protein response (UPR) markers in model‐systems of Alzheimer's disease, Alzheimer's & Dementia, Vol: 9, ISSN: 1552-5260

Journal article

Jedrzejewski PM, Jimenez del Val I, Polizzi KM, Kontoravdi Cet al., 2013, Applying quality by design to glycoprotein therapeutics: experimental and computational efforts of process control, Pharmaceutical Bioprocessing, Vol: 1, Pages: 51-69, ISSN: 2048-9145

Therapeutic glycoproteins represent one of the most important classes of products in the pharmaceutical industry, accounting for 77 high-value drugs out of 642 pharmaceuticals approved by the European Medicines Agency. Their therapeutic efficacy, serum half-life and immunogenicity depend on glycosylation, a complex and prominent post-translational event, which in turn is influenced by manufacturing process conditions. For this reason, protein glycosylation is a critical quality attribute for these drugs. Herein, we review the impact of glycosylation on product function, and the role of manufacturing conditions on the resulting glycoform distribution. We further present promising developments in terms of alternative, genetically engineered hosts, as well as advances in process operation that influence the glycan profile of the recombinant product. Finally, we review work on dynamic mathematical modeling for protein glycosylation that allows researchers to evaluate genetic engineering and process operation strategies in silico, with the aim of guiding experimentation. We demonstrate that such model-based approaches, when substantiated by experimental evidence, can support the quality by design initiative and expedite process development.

Journal article

Kyriakopoulos S, Kontoravdi C, 2013, Analysis of the landscape of biologically-derived pharmaceuticals in Europe: dominant production systems, molecule types on the rise and approval trends, European Journal of Pharmaceutical Sciences, Vol: 48, Pages: 428-441

Journal article

Polizzi KM, Hallett JP, Kontoravdi C, Shah Net al., 2013, Frontier manufacturing: Scaling up synthetic biology

Conference paper

Royle K, Kontoravdi C, Leak DJ, 2013, Understanding single-chain antibody fragment production in pichia pastoris

Conference paper

Royle K, Jimenez Del Val I, Miller A, Polizzi KM, Kontoravdi Cet al., 2013, Designing a synthetic Golgi reactor, Pages: 341-342

Conference paper

Jimenez Del Val I, Constantinou A, Dell A, Haslam S, Jedrzejewski P, Polizzi KM, Kontoravdi Cet al., 2013, An integrated mechanistic model for nucleotide sugar metabolism and monoclonal antibody glycosylation, Pages: 658-659

Conference paper

Sou SN, Sellick C, Lee K, Mason A, Polizzi KM, Kontoravdi Cet al., 2013, Experimental and computational analysis of Chinese hamster ovary stable transfectants grown in fed-batch culture, Pages: 669-670

Conference paper

Kontoravdi C, 2013, Systematic Methodology for the Development of Mathematical Models for Biological Processes, SYNTHETI C BIOLOGY, Vol: 1073, Pages: 177-190, ISSN: 1064-3745

Journal article

Polizzi KM, Kontoravdi C, 2013, Synthetic Biology Preface, SYNTHETI C BIOLOGY, Editors: Polizzi, Kontoravdi, Publisher: HUMANA PRESS INC, Pages: V-V, ISBN: 978-1-62703-624-5

Book chapter

Sou SN, Polizzi KM, Kontoravdi C, 2013, Evaluation of transfection methods for transient gene expression in Chinese hamster ovary cells, Advances in Bioscience and Biotechnology, Vol: 04, Pages: 1013-1019, ISSN: 2156-8456

Journal article

Jimenez del Val I, Nagy JM, Kontoravdi C, 2012, A dynamic model for monoclonal antibody glycosylation in a maturing Golgi apparatus, INTERNATIONAL CONFERENCE ON CELLULAR & MOLECULAR BIOENGINEERING

Conference paper

Jimenez del Val I, Jedrzejewski PM, Exley K, Sou SN, Kyriakopoulos S, Polizzi KM, Kontoravdi Cet al., 2012, Application of Quality by Design paradigm to the manufacture of protein therapeutics, Glycosylation, Editors: Petrescu, ISBN: 980-953-307-130-0

Therapeutic glycoproteins represent one of the most important class products of the pharmaceutical industry, with 77 high-value drugs out of a total 642 approved by the European Medicines Agency. Their therapeutic efficacy, serum half-life and immunogenicity depends on the post-translational process of glycosylation, which is influenced by manufacturing process conditions. For this reason, protein glycosylation is a critical quality attribute for these drugs. Herein, we review the impact of glycosylation on product function, the role of manufacturing conditions in the resulting glycoform distribution and the current production systems employed industrially. We further present promising developments in terms of alternative, genetically engineered hosts, as well as advances in process operation that influence the glycan profile of the recombinant product. We finally present work on dynamic mathematical modeling for protein glycosylation that allows researchers to evaluate genetic engineering and process operation strategies in silico, with the aim of guiding experimentation. We demonstrate that such model-based approaches, when substantiated by experimental evidence, can support the Quality by Design initiative and expedite process development.

Book chapter

Behjousiar A, Kontoravdi C, Polizzi KM, 2012, In Situ Monitoring of Intracellular Glucose and Glutamine in CHO Cell Culture, PLOS One, Vol: 7

The development of processes to produce biopharmaceuticals industrially is still largely empirical and relies on optimizing both medium formulation and cell line in a product-specific manner. Current small-scale (well plate-based) process development methods cannot provide sufficient sample volume for analysis, to obtain information on nutrient utilization which can be problematic when processes are scaled to industrial fermenters. We envision a platform where essential metabolites can be monitored non-invasively and in real time in an ultra-low volume assay in order to provide additional information on cellular metabolism in high throughput screens. Towards this end, we have developed a model system of Chinese Hamster Ovary cells stably expressing protein-based biosensors for glucose and glutamine. Herein, we demonstrate that these can accurately reflect changing intracellular metabolite concentrations in vivo during batch and fed-batch culture of CHO cells. The ability to monitor intracellular depletion of essential nutrients in high throughput will allow rapid development of improved bioprocesses.

Journal article

Stefani IC, Wright D, Polizzi KM, Kontoravdi Cet al., 2012, The role of ER stress-induced apoptosis in neurodegeneration, Current Alzheimer Research, Vol: 9, Pages: 373-387

Journal article

Behjousiar A, Kontoravdi C, Polizzi KM, 2012, In situ monitoring of intracellular glucose and glutamine in CHO cell culture, PLoS One

Journal article

Stefani IC, Wright D, Polizzi KM, Kontoravdi Cet al., 2012, The role of ER stress-induced apoptosis in neurodegeneration, Current Alzheimer Research, Vol: 9, Pages: 373-387

Journal article

This data is extracted from the Web of Science and reproduced under a licence from Thomson Reuters. You may not copy or re-distribute this data in whole or in part without the written consent of the Science business of Thomson Reuters.

Request URL: http://wlsprd.imperial.ac.uk:80/respub/WEB-INF/jsp/search-html.jsp Request URI: /respub/WEB-INF/jsp/search-html.jsp Query String: id=00232896&limit=30&person=true&page=4&respub-action=search.html