Nature CommunicationsBiochemistryPeer-reviewed journal article
Automating data analysis for hydrogen/deuterium exchange mass spectrometry using data-independent acquisition methodology
F. Filandr, V. Sarpe, S. Raval, D. A. Crowder, M. F. Khan, P. Douglas, S. Coales, R. Viner, A. Syed, J. A. Tainer, S. P. Lees-MIller, D. C. Schriemer
Abstract
We developed 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-validation 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-validation 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.
- assay: proteomics
- research focus: protein folding & dynamics
- research focus: benchmarking
- approach: transformer / foundation model
- approach: statistical model
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