Bioprocessing Summit, Boston, MA, USA
August 14, 2023
In HCP analysis, LC-MS/MS is often used as an orthogonal method to provide information complementary to conventional enzyme-linked immunosorbent assays. While advances in MS instrumentation have led to increasingly sensitive detection, the complexity of the generated data requires an efficient data processing, analysis, and reporting platform to keep pace with throughput demands and to prevent data handling from becoming an analytical bottleneck.
We present an automated MS data processing workflow that is designed to increase confidence in HCP identifications and is specifically configured to streamline the analysis of large volumes of data generated from TIMS-TOF-PASEF experiments. The same workflow can be quickly reconfigured to analyze data from any high-resolution, accurate-mass (HRAM) MS instrument that is suitable for peptide characterization or proteomics-like data acquisition. The vendor-neutral data processing workflow includes a highly flexible custom activity node that enables high-confidence identification and relative quantification of HCPs using customizable settings for Hi-X quantification, and extraction of key information from web services, such as Gene Ontology terms .