(307d) Improved Discrimination of Asymmetric and Symmetric Arginine Dimethylation By Optimization of the Normalized Collision Energy in LC-MS Proteomics | AIChE

(307d) Improved Discrimination of Asymmetric and Symmetric Arginine Dimethylation By Optimization of the Normalized Collision Energy in LC-MS Proteomics

Authors 

Hartel, N. - Presenter, University of Southern California
Liu, C., USC
Graham, N., University of Southern California
Protein arginine methylation regulates diverse biological processes including signaling, metabolism, splicing, and transcription. Despite its important biological roles, arginine dimethylation remains an understudied post-translational modification. Partly, this is because the two forms of arginine dimethylation, asymmetric and symmetric dimethyl arginine, are isobaric and therefore indistinguishable by traditional mass spectrometry techniques. Thus, there exists a need for methods that can differentiate these two modifications. Here, we report that increasing the normalized collision energy (NCE) in a higher-energy collisional dissociation (HCD) cell of a Q-Exactive Plus mass spectrometer increases the generation of characteristic neutral losses (NL) that can distinguish asymmetric and symmetric dimethyl arginine. By analyzing both synthetic and endogenous dimethyl-peptides, we identify an optimal NCE value that maximizes NL generation and also improves methyl-peptide identification. Using two orthogonal methyl peptide enrichment strategies, high pH strong cation exchange (SCX) and immunoaffinity purification (IAP), we demonstrate that the optimal NCE increases improves NL-based ADMA and SDMA annotation and dimethyl peptide identifications by 125% and 17%, respectively, compared to the standard NCE. This simple parameter change will greatly facilitate the identification and annotation of asymmetric and symmetric dimethyl arginine in mass spectrometry-based methyl-proteomics to improve our understanding of how these modifications differentially regulate protein function.

Topics