Research

The vision of the CD laboratory is to move the production of rAAV for gene therapy from a cost-intensive, empirically-driven approach to a knowledge- and model-based process development and production. This requires a profound understanding of relationships such as target lines, therapeutic genes or process conditions interacting with one another and influencing the quality and quantity of rAAV. We will expand analyzes that allow accurate characterization of rAAV and contaminants. One of the most important tasks here will be the differentiation between therapeutic DNA-loaded and empty rAAVs, since different cell lines and different therapeutic genes lead to widely varying ratios between these variants. Product quality is currently being checked using post-process analysis. Such analyzes are time-consuming and costly, and require downtimes in the process. They only provide retrospective information and therefore cannot be used for process control. Therefore, sensors are being investigated that record important process parameters during the process and provide information about its course. This allows process monitoring and control, i.e. intervention in the process to ensure the desired quality. This approach not only increases the security of the processes, but also their efficiency. In order to develop a systematic understanding of important parameters and their interaction, different HEK target lines are examined and genome-wide analyzes of the cell response to virus production are carried out. Based on this, strategies to improve the rAAV yield and quality are developed. Scaling up optimized cell lines and processing strategies to production scale is a multi-step, time-consuming and costly process. The smallest scale currently available for the process development of rAAV production is the laboratory scale, which only allows a limited number of experiments due to the relatively high cost of materials. Only a miniaturized process development platform enables an integrated approach to investigate the relationships between process steps or upstream and downstream processing. This is therefore set up for the process development of rAAV and will include all relevant steps of cell cultivation and downstream processing. Finally, an optimized process is developed on this platform as an example and compared with a current process.

deCIPHER envisions the development of a native multi-dimensional liquid chromatography platform and explore its possibilities for comprehensive chemical profiling and biophysical characterization of monoclonal antibody variants in a continuous downstream processing workflow. This involves the development of unique biomimetic column technology and its implementation in the native MD-LC platform. Finally, the potential of the deCIPHER technology will be assessed, to study aberrant translational effects of IgG mAbs, for the first time, and for the comprehensive characterization of emerging secretory Immunoglobulin A in a DSP workflow.

Lipid-Nano-Particles (LNP) are recognized as effective drug carriers for vaccines and other medicinal products. In this respect, they became attractive in manufacture but also research. Although, meanwhile different products are launched on the market, there are still several scientific aspects remaining which need to be investigated in more detail. The overall goal of this project is the design of stable mRNA-LNPs with defined process characteristics confirmed by extensive control of the quality attributes. Thus, in this project mRNA design, bioprocess parameters and an appropriate analytical tool box will be investigated. The involved interdisciplinary team will construct different mRNA variants, which will be used to engineer LNPs of defined composition. Bioprocesses will be established using an in-house designed micro device and the identified critical process parameters will be measured and optimized. For material characterization, an analytical tool box will be developed, applicable for all process stages. The accumulated expertise is of particular interest for all participating groups and strengthens the core competence of the project partners.