Katie E. Glen
Research Subjects
Katie E. Glen has a total of 11 co-authors. Here are the top co-authors by number of shared publications:
- Robert James Thomas
Loughborough University
3 shared publications Adrian J. Stacey
Loughborough Univ Technol, Wolfson Sch Mech & Mfg Engn, Ctr Biol Engn, Loughborough LE11 3GR, Leics, England
2 shared publicationsElizabeth A. Cheeseman
Loughborough Univ Technol, Wolfson Sch Mech & Mfg Engn, Ctr Biol Engn, Loughborough LE11 3GR, Leics, England
2 shared publications- Rebecca L. L. Moore
Loughborough Univ Technol, Wolfson Sch Mech & Mfg Engn, Ctr Biol Engn, Loughborough LE11 3GR, Leics, England
2 shared publications - Adriana G. Lopes
BioPharm Services Chesham UK
1 shared publication - Andrew Sinclair
BioPharm Services Chesham UK
1 shared publication
Latest Publications
- Open Access
- 28 August 2021
- Published by Wiley in Biotechnology Progress
- Vol. 37 (6) , e3205
Application of a simple unstructured kinetic and cost of goods models to support T ‐cell therapy manufacture
Manufacturing of cell therapy products requires sufficient understanding of the cell culture variables and associated mechanisms for adequate control and risk analysis. The aim of this study was to apply an unstructured ordinary differential equation‐based model for prediction of T‐cell bioprocess outcomes as a function of process input parameters. A series of models were developed to represent the growth of T‐cells as a function of time, culture volumes, cell densities, and glucose concentration using data from the Ambr®15 stirred bioreactor system. The models were sufficiently representative of the process to predict the glucose and volume provision required to maintain cell growth rate and quantitatively defined the relationship between glucose concentration, cell growth rate, and glucose utilization rate. The models demonstrated that although glucose is a limiting factor in batch supplied medium, a delivery rate of glucose at significantly less than the maximal specific consumption rate (0.05 mg 1 × 10 6 cell h −1 ) will adequately sustain cell growth due to a lower glucose Monod constant determining glucose consumption rate relative to the glucose Monod constant determining cell growth rate. The resultant volume and exchange requirements were used as inputs to an operational BioSolve cost model to suggest a cost‐effective T‐cell manufacturing process with minimum cost of goods per million cells produced and optimal volumetric productivity in a manufacturing settings. These findings highlight the potential of a simple unstructured model of T‐cell growth in a stirred tank system to provide a framework for control and optimization of bioprocesses for manufacture.
- 28 August 2021
- Published by Wiley in Biotechnology Progress
- Vol. 37 (6) , e3205
Open AccessApplication of a simple unstructured kinetic and cost of goods models to support T ‐cell therapy manufacture
Manufacturing of cell therapy products requires sufficient understanding of the cell culture variables and associated mechanisms for adequate control and risk analysis. The aim of this study was to apply an unstructured ordinary differential equation‐based model for prediction of T‐cell bioprocess outcomes as a function of process input parameters. A series of models were developed to represent the growth of T‐cells as a function of time, culture volumes, cell densities, and glucose concentration using data from the Ambr®15 stirred bioreactor system. The models were sufficiently representative of the process to predict the glucose and volume provision required to maintain cell growth rate and quantitatively defined the relationship between glucose concentration, cell growth rate, and glucose utilization rate. The models demonstrated that although glucose is a limiting factor in batch supplied medium, a delivery rate of glucose at significantly less than the maximal specific consumption rate (0.05 mg 1 × 10 6 cell h −1 ) will adequately sustain cell growth due to a lower glucose Monod constant determining glucose consumption rate relative to the glucose Monod constant determining cell growth rate. The resultant volume and exchange requirements were used as inputs to an operational BioSolve cost model to suggest a cost‐effective T‐cell manufacturing process with minimum cost of goods per million cells produced and optimal volumetric productivity in a manufacturing settings. These findings highlight the potential of a simple unstructured model of T‐cell growth in a stirred tank system to provide a framework for control and optimization of bioprocesses for manufacture.
- Open Access
- 1 May 2018
- Published by Elsevier in Biochemical Engineering Journal
- Vol. 133, 28-38
A mechanistic model of erythroblast growth inhibition providing a framework for optimisation of cell therapy manufacturing
- 1 May 2018
- Published by Elsevier in Biochemical Engineering Journal
- Vol. 133, 28-38
Open AccessA mechanistic model of erythroblast growth inhibition providing a framework for optimisation of cell therapy manufacturing
- Open Access
- 1 April 2018
- Published by Elsevier in Biochemical Engineering Journal
- Vol. 132, 130-138
Experimentally integrated dynamic modelling for intuitive optimisation of cell based processes and manufacture
- 1 April 2018
- Published by Elsevier in Biochemical Engineering Journal
- Vol. 132, 130-138
Open AccessExperimentally integrated dynamic modelling for intuitive optimisation of cell based processes and manufacture
- Open Access
- 4 August 2017
- Published by Springer Nature in BMC Biotechnology
- Vol. 17 (1) , 1-11
Immobilisation of Delta-like 1 ligand for the scalable and controlled manufacture of hematopoietic progenitor cells in a stirred bioreactor
Umbilical cord blood provides a source of hematopoietic stem cells for transplantation with immunological and availability advantages over conventional bone marrow sources. Limited cell numbers and slower engraftment from umbilical cord blood units has led to the clinical development of immobilised Notch ligand Delta-Like 1 to promote ex vivo expansion of a rapidly engrafting cell population. However, current immobilisation methods are not simple to scale in a controlled manner. Delta-Like 1 was immobilised onto streptavidin coated magnetic particles via a heterobifunctionalised polyethylene glycol linker molecule to provide an easily manipulated format of surface protein presentation. CD34+ enriched cord blood cells were treated with Delta-Like 1 immobilised particles, and immunophenotypic markers measured to monitor population distributions using cluster identification, characterization, and regression software. The amenability of the approach to scalability was evaluated in a micro-scale stirred tank bioreactor. Surface concentration of Delta-Like 1 was well controlled used differing stoichiometric reagent ratios. Protein immobilisation was a cost effective process and particles were efficiently removed from the final cell product. Immobilised Delta-Like 1 is functional and stimulates qualitatively similar CD34hi, CD38lo, CD90lo, CD133hi, CD135hi progenitor expansion in both static culture and scalable stirred culture platforms. Immobilised Delta-Like 1 in this form has the potential to improve the manufacturing efficiency and control of final ex vivo expanded cell product through compatibility with highly controlled and characterised suspension culture systems.
- 4 August 2017
- Published by Springer Nature in BMC Biotechnology
- Vol. 17 (1) , 1-11
Open AccessImmobilisation of Delta-like 1 ligand for the scalable and controlled manufacture of hematopoietic progenitor cells in a stirred bioreactor
Umbilical cord blood provides a source of hematopoietic stem cells for transplantation with immunological and availability advantages over conventional bone marrow sources. Limited cell numbers and slower engraftment from umbilical cord blood units has led to the clinical development of immobilised Notch ligand Delta-Like 1 to promote ex vivo expansion of a rapidly engrafting cell population. However, current immobilisation methods are not simple to scale in a controlled manner. Delta-Like 1 was immobilised onto streptavidin coated magnetic particles via a heterobifunctionalised polyethylene glycol linker molecule to provide an easily manipulated format of surface protein presentation. CD34+ enriched cord blood cells were treated with Delta-Like 1 immobilised particles, and immunophenotypic markers measured to monitor population distributions using cluster identification, characterization, and regression software. The amenability of the approach to scalability was evaluated in a micro-scale stirred tank bioreactor. Surface concentration of Delta-Like 1 was well controlled used differing stoichiometric reagent ratios. Protein immobilisation was a cost effective process and particles were efficiently removed from the final cell product. Immobilised Delta-Like 1 is functional and stimulates qualitatively similar CD34hi, CD38lo, CD90lo, CD133hi, CD135hi progenitor expansion in both static culture and scalable stirred culture platforms. Immobilised Delta-Like 1 in this form has the potential to improve the manufacturing efficiency and control of final ex vivo expanded cell product through compatibility with highly controlled and characterised suspension culture systems.