4.8 Article

Higher-Energy Collisional Dissociation Mass Spectral Networks for the Rapid, Semi-automated Characterization of Known and Unknown Ribonucleoside Modifications

Journal

ANALYTICAL CHEMISTRY
Volume -, Issue -, Pages -

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.analchem.2c03172

Keywords

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Funding

  1. National Science Foundation [CHE1507357, MCB1516918]
  2. Rieveschl Eminent Scholar Endowment
  3. University of Cincinnati

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This study demonstrates the capability of using higher-energy collisional dissociation (HCD) spectra in combination with spectral matching for the semi-automated characterization of ribonucleosides. Analysis of tRNA hydrolysates using systematic spectral matching has provided evidence for the existence of novel ribonucleoside modifications. This approach has the potential to simplify the characterization of unknown modified ribonucleosides and accelerate discoveries in the epitranscriptome.
Higher-energy collisional dissociation (HCD) of modified ribonucleosides generates characteristic and highly reproducible nucleoside-specific tandem mass spectra (MS/MS). Here, we demonstrate the capability of HCD spectra in combination with spectral matching for the semi-automated characterization of ribonucleosides. This process involved the generation of an HCD spectral library and the establishment of a mass spectral network for rapid detection with high sensitivity and specificity in a retention time-independent fashion. Systematic spectral matching analysis of the MS/MS spectra of tRNA hydrolysates from different organisms has helped us to uncover evidence for the existence of novel ribonucleoside modifications such as s2Cm and OHyW-14. Such an untargeted label-free approach has the potential to be integrated with other methods, including those that use isotope labeling, to simplify the characterization of unknown modified ribonucleosides. These findings suggest the compilation of a universal spectral network, for the characterization of known and unknown ribonucleosides, could accelerate discoveries in the epitranscriptome.

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