Automated sample preparation & short gradient acquisitions for large scale LC-MS

Mass spectrometry (MS)-based proteomics allows the comprehensive identification and quantification of proteins in various biological specimen such as cell lines, body fluids or tissues. The study of these complex samples requires large sample cohorts analyzed with low technical variability to achieve sufficient statistical power, for applications like biomarker discovery, despite inter-individual differences.

Labor-intensive manual sample preparation, coupled with long ultra high-performance liquid chromatography (UHPLC) gradients, often restricts throughput and introduces variability. Workflows with increased throughput, standardization and cost-effectiveness are required to facilitate large-scale discovery proteomics and yield generalizable results. In this context, we present the integration of the latest technological advancements in automated hands-off sample preparation along with short gradient LC-MS acquisitions to achieve remarkable speed, depth and reproducibility in proteomic studies.