Experimentally integrated dynamic modelling for intuitive optimisation of cell based processes and manufacture
Open Access
- 1 April 2018
- journal article
- research article
- Published by Elsevier in Biochemical Engineering Journal
- Vol. 132, 130-138
Abstract
No abstract availableKeywords
Funding Information
- Engineering and Physical Sciences Research Council Fellowship (EP/K00705X/1)
This publication has 31 references indexed in Scilit:
- A reaction–diffusion mechanism influences cell lineage progression as a basis for formation, regeneration, and stability of intestinal cryptsBMC Systems Biology, 2012
- ‘Closing the loop’ in biological systems modeling — From the in silico to the in vitroAutomatica, 2011
- Systematic development of predictive mathematical models for animal cell culturesComputers & Chemical Engineering, 2010
- Competing feedback loops shape IL-2 signaling between helper and regulatory T lymphocytes in cellular microenvironmentsProceedings of the National Academy of Sciences, 2010
- Global Sensitivity Analysis Challenges in Biological Systems ModelingIndustrial & Engineering Chemistry Research, 2009
- Soluble factor cross-talk between human bone marrow-derived hematopoietic and mesenchymal cells enhances in vitro CFU-F and CFU-O growth and reveals heterogeneity in the mesenchymal progenitor cell compartmentBlood, 2005
- Modelling of Mammalian Cells and Cell Culture ProcessesCytotechnology, 2004
- Autocrine growth inhibition by transforming growth factor β-1 (TGFβ-1) in human neuroendocrine tumour cellsGut, 2003
- Optimal Experimental Design for Parameter Estimation in Unstructured Growth ModelsBiotechnology Progress, 1994
- Effects of ammonia and lactate on hybridoma growth, metabolism, and antibody productionBiotechnology and Bioengineering, 1992