Selecting the appropriate monoclonal antibody (mAb) candidate is critical in development of mAb-based therapeutics. However, many mAb analysis methods, such as liquid chromatography-mass spectrometry (LC-MS), require extensive sample preparation and offer only a single "vector" of data. In order to fully characterize an antibody candidate, researchers need to employ multiple analysis methods to generate comprehensive data that can allows formaking informed decisions.

Automating the sample preparation process can help labs run multiple analyses at a faster rate, providing more consistent results with actionable, meaningful data. Solutions such as the SCIEX Intabio ZT systemstreamline mAb analysis, offering comprehensive data on candidates. The SCIEX Intabio ZT combines sample preparation, separation of proteins by pI (icIEF), and mass spectrometry, performed using a SCIEX ZenoTOF 7600 mass spectrometer. It facilitates an automated, highly reproducible, and streamlined workflow for efficient charge variant separation, quantitation, and identification of mAb candidates.

The Intabio ZT system identifies several key mAb quality attributes and has high sensitivity to low-abundant charge variants that affect product quality. Compared to chromatography methods like ion exchange chromatography (IEX), the ZT platform delivers results for routine samples within an hour, significantly reducing screening time. With the help of the multiple vectors of data provided by the Intabio ZT, labs can make more informed decisions and develop mAb-based drugs faster while ensuring quality.

Automation solutions like Intabio ZT, that offer not just one “type” but multiple critical quality attributes, are invaluable in expediting the development of cutting-edge mAb-based therapeutics. To explore automation tools that can reduce time to market and streamline workflows, contact an expert at the Life Sciences companies of Danaher today.

Utilizing Multiple Vectors of Data to Identify mAb Candidates

Multiple Vectors