within the Industrial Doctoral School at Umeå University.
Biologics are a class of medications that have already had a profound impact on many medical fields, primarily rheumatology and oncology, and have expanded therapeutic options for the treatment of a wide range of diseases. Biologics are commercially produced by living cells, a process being inherently complex, partly due to the current lack of understanding of the factors influencing it, that impact product efficiency and quality.
The presented project will apply high-throughput omics characterization of main biopharmaceutical production processes, based on the Chinese Hamster Ovary (CHO) cell line, aiming to enhanced understanding of the process on a molecular level, which will contribute to future optimization to improve quality of the product and reduce costs. To achieve this, for the duration of the project we will apply and develop modern data analytics approaches based on multivariate data analysis methods and systems biology modelling.
The main challenge in industrial processes based on complex biological systems is efficient real-time monitoring, control and prediction of the process outcome. Mathematical models, so called 'soft sensors' are quite often used for these purposes. In this project, we will build flux balance analysis models and test their performance as 'soft sensors' for characterization of normal and deviating evolution of cellular metabolism during biomanufacturing processes. If successful, developed methodology will enhance process capabilities of other cell-based pharmaceutical processes.