We See a Way to
triple productivity in cell line development.
Genedata | Genedata Bioprocess
Digitalize Cell Line Development (CLD)
Enhanced Efficiency and Decision-Making
The platform's fully integrated workflow significantly reduces the time and effort required to interpret extensive CLD data. Genedata Bioprocess automates the capture from all CLD steps and aggregates the data generated by the laboratory systems, including Octet, bioreactors, and mass spectrometers. With automated data analysis and comprehensive tracking of each clone's performance across assays, it accelerates development timelines. By integrating all relevant CLD data, the platform enables a robust data-driven decision-making to identify the optimal manufacturing cell line for a given drug product.
Quality and Scalability
Genedata Bioprocess enforces data integrity and compliance, and it is designed for scalability, supporting cell line development campaigns of any size. The integration of chemically defined media systems and optimized process development procedures ensures reproducible, high-quality product yields, even in large-scale manufacturing bioreactors. Features like end-to-end sample tracking and automated laboratory operations facilitate a transition to a fully paperless laboratory environment.
Resources
Case Study
Sartorius Accelerates Cell Line and Process Development by a Factor of 3
Sartorius extended automation and streamlined operations using Genedata Bioprocess as the digital workflow backbone supporting CHO transfection, expression vectors, plasmid generation and optimization, media development and customized upstream process design workflows.
Poster
High-Throughput Screening for Best Manufacturing Cell Lines Using Scale-Down Models
Cell line and process development groups increasingly apply miniaturized and automated cell culturing and analytical test methods. This includes micro-bioreactor systems, Process Analytical Techniques (PATs) and multiple methods for early product quality assessment. As a result, there has been a significant increase in the amount of data, which need to be analyzed and reviewed.