Discover how Genedata Selector® integrates and analyses NGS data enabling scientists to collaborate, access, and efficiently share results with full transparency and traceability.
Octapharma Increases Scientific Insights with Genedata Selector
Octapharma relies on the in-depth characterization of their engineered production cell lines. NGS is a crucial technology for such complex projects providing versatile applications and high-quality results. Octapharma required an in-house solution to optimize the handling and analysis of NGS data. Genedata Selector supports Octapharma by providing analytical tools that address the needs of users of all levels. The ready-to-use Playbooks, intuitive genome viewer, and tailored workflows empower Octapharma to improve the efficiency of data-related processes and collaboration throughout the organization.
Cell Line Characterization 2.0: Implementation of Sequence Variant Analysis via RNA-seq and Future Perspectives
Benjamin Lindner
Senior Data Scientist, Boehringer Ingelheim
In this webinar, we show RNA-seq as an alternative to Sanger sequencing to confirm the transgene’s transcript sequence. It provides superior sensitivity for mutation detection as well as high specificity, repeatability and robustness. Further, it is scalable up to 96 samples per batch and offers the possibility of automatic bioinformatic analysis.
A Newly Identified Small RNA Regulates NGNA Sialylation in CHO Cells
Simon Fischer
Senior Principal Scientist & Head of Cell Biology - Cell Line Development, Boehringer Ingelheim
Discover how Boehringer Ingelheim delved deep using NGS to identify the root cause of an unusual recombinant protein product characteristic. Learn how the team of scientists interrogated the differences of cell line phenotypes by exploring changes in the genomic and transcriptomic levels using various sequencing methods.
Localization and Structural Characterization of Random Transgene Integration of CHO Manufacturing Clones Using Next-Generation Sequencing
Benjamin Lindner
Senior Data Scientist, Boehringer Ingelheim
In this webinar, we present in-depth analysis of the top 3 production clones at Boehringer Ingelheim using TLA technology. This allowed scientists to better understand the effects of random transgene integration in CHO cells, assess performance characteristics by measuring viability and antibody titers, and perform in-depth genetic characterization critical to assessing cell stability.
From Transfection to FIH in 6 Months: How Advances in Cell Line Development Enabled Manufacturing of Monoclonal Antibodies at An Unprecedented Pace
Simon Fischer
Senior Principal Scientist & Head of Cell Biology - Cell Line Development, Boehringer Ingelheim
Here we present a case study that resulted in the successful accelerated development of GMP-grade antibody-based therapeutics for early clinical studies at a commercial scale of 2,000 L. Applying innovative cell line generation approaches together with digital technology, resulted in the production of high-quality drug substance in less than 3 months.
Cell line development and cell culture optimization face a new era with the introduction of knowledge-driven genomics based on new technologies such as NGS and omics-based approaches.
The intelligent organization of large data volume is central to successful research and development of new crop protection products.
Our customers now have available a computational platform that supports our market-leading TLA technology and enables them to significantly increase the number of clones analyzed, thereby increasing the efficiency of their quality control and cell line development workflow.
To optimally handle the complex data, we need a centralized genome knowledge management and analysis solution that addresses the interdisciplinary challenges in the next-generation biotechnology innovations.
I like to compare Genedata's work with the structured organization of a library in which you can easily and quickly find the book you are looking for.
With Genedata Selector we can integrate a wide range of complex R&D-relevant data and make the data easily accessible within our globally distributed R&D organization.
Genedata Selector was our obvious choice.
Our many years of experience in working together so far have been very positive.
