CPSE Webinar Series

At the CPSE Annual Industrial Consortium meeting in December 2016, there was a lot of enthusiasm for a webinar series that would be available to our consortium members, showcasing some of the work that goes on at CPSE from both University College London and Imperial College London. We are delighted to be hosting the webinar by Professor Mantalaris.

Optimal Bioprocess Design through a Gene Regulatory Network – Growth Kinetic Hybrid Model: Replacing Monod Kinetics - Friday 16th February 2018 at 15:00 GMT

 

Professor Athanasios (Sakis) Mantalaris

Professor Athanasios (Sakis) Mantalaris is Professor of BioSystems Engineering in the Department of Chemical Engineering at Imperial College London and a member of the  Centre for Process Systems Engineering (CPSE). He received his PhD (2000) in Chemical Engineering from the University of  Rochester.  His expertise is in modelling of biological systems and bioprocesses with a focus on mammalian cell culture systems, stem cell bioprocessing, and tissue engineering. He has published over 160 original manuscripts, co-edited one book, and holds   several patents with several more pending. He has received several awards including the Junior Moulton Award for best paper by the Institute of Chemical Engineers (IChemE) in 2004. In 2012, he was elected Fellow of the American Institute for Medical & Biological Engineering and in 2013 he was awarded a European Research Council (ERC) Advanced Award. In 2015, he was awarded the Donald Medal by the Institution of Chemical Engineers (IChemE) for his contributions to  biochemical engineering.

Abstract: Currently, design and optimisation of biotechnological bioprocesses is performed either through exhaustive experimentation and/or with the use of empirical, unstructured growth kinetics models. Whereas, elaborate systems biology approaches have been recently explored, utilisation of mixed-substrates is predominantly ignored despite its key significance in robustly enhancing bioprocess performance. In this webinar, The novel experimental-modelling gene regulatory network – growth kinetic (GRN-GK) hybrid framework will be presented. Bioprocess optimisation for an industrially-relevant bioremediation process involving a mixture of highly toxic substrates, m-xylene and toluene, and Pseudomonas putida mt-2 will be demonstrated. The gene regulatory network model captured the transcriptional kinetics of gene expression and informed the formulation of the growth kinetics model replacing the empirical and unstructured Monod kinetics. The GRN-GK framework’s predictive capability and potential as a systematic optimal bioprocess design tool was demonstrated by effectively predicting bioprocess performance, which was in agreement with experimental values, when compared to four commonly used models that deviated significantly from the experimental values. Significantly, a fed-batch biodegradation process was designed and optimised through the model-based control of gene expression (TOL Pr promoter) resulting in 23% and 58% enhanced pollutant removal and biomass formation, respectively, compared to the batch process. This provides the first evidence of model-based bioprocess optimisation at the gene level, rendering the GRN-GK framework as a novel and applicable approach to optimal bioprocess design. Finally, model analysis using global sensitivity analysis (GSA) suggests an alternative, systematic approach for model-driven strain modification for synthetic biology and metabolic engineering applications.

The talk is  for one-hour online session: 40 minutes' presentation + 20 minutes' Q&A. The instructions for watching the webinar will be available soon.

Instructions for Loging to the Webinar: 

Event password: mPppfNq3
Event address for attendees: https://imperialcollegelondon2.webex.com/imperialcollegelondon2/onstage/g.php?MTID=ec723182ff9bec8b0e6f5e858626437db

 

You can also watch previous webinars here.