cancel
Showing results for 
Search instead for 
Did you mean: 
Orbitrap_SciLib
Reputable Mentor II
Reputable Mentor II
Nicholas M. Riley,1,2 Alexander S. Hebert,1 Gerhard Dürnberger,3,4,5 Florian Stanek,3 Karl Mechtler,3,5 Michael S. Westphall,1 and Joshua J. Coon1,2,6,7
Anal. Chem., Just Accepted Manuscript
The ability to localize phosphosites to specific amino acid residues is crucial to translating phosphoproteomic data into biological meaningful contexts. In a companion manuscript we described a new implementation of activated ion electron transfer dissociation (AI-ETD) on a quadrupole-Orbitrap-linear ion trap hybrid MS system (Orbitrap Fusion Lumos), which greatly improved peptide fragmentation and identification over ETD and other supplemental activation methods. Here we present the performance of AI-ETD for identifying and localizing sites of phosphorylation in both phosphopeptides and intact phosphoproteins. Using 90-minute analyses we show that AI-ETD can identify 24,503 localized phosphopeptide spectral matches enriched from mouse brain lysates, which more than triples identifications from standard ETD experiments and outperforms ETcaD and EThcD as well. AI-ETD achieves these gains through improved quality of fragmentation and MS/MS success rates for all precursor charge states, especially for doubly protonated species. We also evaluate the degree to which phosphate neutral loss occurs from phosphopeptide product ions due to the infrared photo-activation of AI-ETD and show that modifying phosphoRS (a phosphosite localization algorithm) to include phosphate neutral losses can significantly improve localization in AI-ETD spectra. Finally, we demonstrate the utility of AI-ETD in localizing phosphosites in α-casein, a ~23.5 kilodalton phosphoprotein that showed eight of nine known phosphorylation sites occupied upon intact mass analysis. AI-ETD provided the greatest sequence coverage for all five charge states investigated and was the only fragmentation method to localize all eight phosphosites for each precursor. Overall, this work highlights the analytical value AI-ETD can bring to both bottom-up and top-down phosphoproteomics.

http://pubs.acs.org/doi/abs/10.1021/acs.analchem.7b00212
1Genome Center of Wisconsin, Departments of 2Chemistry and 6Biomolecular Chemistry, University of Wisconsin-Madison, Madison, WI, 53706, USA 3Institute of Molecular Pathology (IMP), Campus-Vienna-Biocenter 1, A-1030 Vienna, Austria 4GMI, Gregor Mendel Institute of Molecular Plant Biology, Dr. Bohr Gasse 3, A-1030 Vienna, Austria 5IMBA, Institute of Molecular Biotechnology of the Austrian Academy of Sciences, Dr. Bohr Gasse 3, A-1030 Vienna, Austria 7Morgridge Institute for Research, Madison, Wisconsin, USA
Version history
Last update:
‎10-15-2021 10:59 AM
Updated by:
Closed Account
Contributors