Modern Data Acquisition Approaches in Proteomics Based on Dynamic Instrument Control

Traditionally, data acquisition in mass spectrometry-based proteomics is directed by user-defined parameters and relatively simple decision making, such as selection of the highest MS1 peaks for fragmentation. In recent years, access to two-way-communication with instrument codebases has led to a surge in algorithms instructing more complex decision processes on-the-fly. A closer matching between the time windows for monitoring peptides in targeted proteomics and their actual chromatographic elution peaks has been addressed through dynamic retention time scheduling and through triggered acquisition. Strategies based on real-time database searching and spectral matching have, among others, been used to adjust acquisition parameters for selected peptides for improved quantitative accuracy. While initial studies were mainly performed on a proof-of-concept level, dynamic acquisition approaches recently became more broadly available through software and increasing integration into standard instrument control and are likely to transform the field of proteomics in the coming years.

Automated summary

In recent years, algorithms for data acquisition in proteomics have become more complex, allowing for dynamic adjustment of parameters to improve accuracy. These dynamic acquisition methods have been developed into software and integrated into standard instrument control, and are expected to transform the field of proteomics in the coming years.