Automating data analysis for hydrogen/deuterium exchange mass spectrometry using data-independent acquisition methodology

Abstract

We present a hydrogen/deuterium exchange workflow coupled to tandem mass spectrometry (HX-MS²) that supports the acquisition of peptide fragment ions alongside their peptide precursors. The approach enables true auto-curation of HX data by mining a rich set of deuterated fragments, generated by collisional-induced dissociation (CID), to simultaneously confirm the peptide ID and authenticate MS¹-based deuteration calculations. The high redundancy provided by the fragments supports a confidence assessment of deuterium calculations using a combinatorial strategy. The approach requires data-independent acquisition (DIA) methods that are available on most MS platforms, making the switch to HX-MS² straightforward. Importantly, we find that HX-DIA enables a proteomics-grade approach and wide-spread applications. Considerable time is saved through auto-curation and complex samples can now be characterized and at higher throughput. We illustrate these advantages in a drug binding analysis of the ultra-large protein kinase DNA-PKcs, isolated directly from mammalian cells.

Manual data mining for HDX-MS restricts the use of this biophysical technique to a small number of samples run by specialty labs. Enabled by data-independent acquisition methodology, the authors describe an approach that fully automates and standardizes the information extraction process, opening the door to new and challenging applications.