Nature Communications (Mar 2024)

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

  • Frantisek Filandr,
  • Vladimir Sarpe,
  • Shaunak Raval,
  • D. Alex Crowder,
  • Morgan F. Khan,
  • Pauline Douglas,
  • Stephen Coales,
  • Rosa Viner,
  • Aleem Syed,
  • John A. Tainer,
  • Susan P. Lees-Miller,
  • David C. Schriemer

DOI
https://doi.org/10.1038/s41467-024-46610-3
Journal volume & issue
Vol. 15, no. 1
pp. 1 – 12

Abstract

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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.