September 17–20, 2019
Chicago, IL, USA
Meet Genedata experts at CASSS: Mass Spec in Chicago, IL, USA.
Don't miss the opportunity to see how Genedata solutions efficiently support the whole biopharmaceutical R&D workflow, including screening and protein engineering, expression and purification, characterization and analysis of protein therapeutics, cell line design and development, bioprocess optimization, and quality control of biologicals.
Please visit us at our booth and schedule a meeting with our scientists at the conference, or email us if you have any queries. Please contact email@example.com.
Recommended Oral Presentations
A single software platform providing automated MS data processing for end-to-end MAM lifecycle management
Alexander Julian Veach, PhD, Amgen Inc., Thousand Oaks, CA, USA
Wednesday, September 17, 2019 | 12:30 – 1:00 PM
Physiochemical characterization of therapeutic proteins is crucial for product quality control in the
biopharmaceutical industry. Robust software that adheres to QbD principles is needed to rapidly identify
and quantify multi-attribute method (MAM) LC/MS-based spectra.
Genedata Expressionist provides a single software platform for end-to-end MAM lifecycle management
that enables method transfer from early stage molecule assessment to in-process analytics and offers
plugins developed for use in GMP release and QC testing environments. The flexibility of the platform
enables novel processes to test system suitability, detect new and missing peaks, and overcome
limitations in the number of monitored attributes.
Using Genedata Expressionist, we optimized data processing for post-translational modifications
(PTMs) including oxidation, deamidation, glycosylation, and clips. We developed methods for
calculating relative abundances of PTMs that improved data accuracy by including more peaks, charge
states, ion adducts, and peptides with non-specific cleavage. The automated attribute identification and
quantification process saved time by avoiding the need for laborious manual integration. Additional
time-savings were provided by running Genedata Expressionist on a dedicated server, thereby
significantly reducing analysis time for large data sets.
Automation of Disulfide Mapping Data Analysis of a Multispecific Antibody
Fan Zhang, Merck Inc.
MAM Data Processing Automation and Attribute Control with Genedata Expressionist
Alexander Veach, Amgen
Automated Comprehensive Characterization and Quantification of Low-abundance Sequence Variants in a Standard Monoclonal Antibody
Efficient Data Processing Workflows for In-depth, MS-based Glycoanalysis of Biopharmaceuticals
Employing the MS-based Multi-attribute Method (MAM) for Automated Quality Monitoring of Biotherapeutics