May 18–20, 2020
Meet Genedata Expressionist® experts at the BEBPA 8th Annual Host Cell Protein Conference in Dubrovnik, Croatia.
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.
A Novel Mass Spectrometry Data Processing Strategy for Increasing Sensitivity and Accuracy and Reducing False-positive Identifications in Detection of Low-abundance HCPs
Lucio Manzi, Ph.D., Merck Serono
Wednesday, May 20, 2020 | 5:05pm–5:35pm
We present a novel approach to identifying and quantifying host cell proteins (HCPs) in biopharmaceuticals using MS data. This method uses DDA data sets from early, middle, and late-stage purification samples containing different levels of HCPs. Qualitative information from high-concentration samples and spiked standards is leveraged to increase sensitivity and accuracy of protein identification in downstream samples. First, data sets are aligned to correct retention time shifts. MS features are then identified and MS/MS spectra originating from the same species are consolidated across the samples to improve data quality. Finally, the consolidated features are used to create an HCP library specific to a given bioprocess. Applying such libraries is key to reducing the number of false-positive identifications, and increasing sensitivity, accuracy, and proteome coverage in the identification of HCPs in low-concentration samples, even if only low-quality MS/MS signals are available. We implemented this approach in a dedicated software platform and applied it to the quantification of HCPs in drug candidate samples where a sensitivity at the low-ppm level was achieved.
Increased Sensitivity and Accuracy with Fewer False-positive Identifications: A New MS-data Processing Strategy for Detection of Low-abundance HCPs
Hanna Hunziker, Ph.D., Genedata AG