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Accurate Peptide Fragment Mass Analysis: Multiplexed Peptide Identification and Quantification Chad R. Weisbrod, Michael R. Hoopmann, Jimmy K. Eng, Tahmina Baker, James E. Bruce Department of Genome Sciences, University of Washington, Seattle, Washington 98109, United States Overview Results Data independent acquisition technique and bioinformatics approach for peptide identification and quantification Identification independent of precursor mass information Quantification based upon MS/MS fragment ion intensities Data acquired using novel dual linear RF ion trap FT-ICR MS Methods FASTA Sequence database The effect of match count on the FT-ARM analysis of the yeast peptide LGANAILGVSLAASR. (mass accuracy = ±20 ppm) Quantification comparison between FT-ICR acquired data processed with FT-ARM(Left) and triple quadrupole acquired data and processed with Thermo Xcaliber(Right) of BSA spiked into yeast lysate digest. Correlational analysis between fragments observed in a DIA LCMS/MS experiment and input data in a data independent acquisition is performed. Data is filtered prior to correlation based upon fragment ion mass accuracy and number of coincident fragment ion matches (match count). 40 20 2 3 4 5 6 Log10(molecules/cell) FT-ARM analysis of the yeast peptide LGANAILGVSLAASR (match count = 8, mass accuracy = ±3 ppm). No precursor mass information was utilized in FT-ARM to form the identification. Identifications from yeast lysate digest Unique proteins identified mapped back to Ghaemmaghami et al.1 yeast protein expression values. Ion accummulation times between the LTQ-FT and the Velos-FT. Conclusions Measurements that are independent of precursor mass enable identification and quantitation of modified peptides, even with unknown or unexpected modifications.This strategy requires that the modified peptide shares significant overlap in fragmention to its unmodified form. Above FT-ARM was utilized to measure phosphorylated angiotensin II using the unmodified hypothetical spectrum. (Top = TIC, Bottom = FTARM score chromatogram) Mass spectrometry experiments used for comparison of conventional bottom-up approach to FT-ARM . … Peptide spectral library 60 80 Velos-FT LTQ-FT FT All Reaction Monitoring (FT-ARM) FT-ARM has been developed to include a GUI. The GUI enables queuing of multiple analyses and to perform comparative analysis on multiple datasets. DTF and CID fragmentation patterns of angiotensin I. Dual trap fragmentation (DTF) is a method to induce higher energy fragments in a dual linear ion trap Velos-FT instrument diagram 0 To date, the most popular method for peptide and protein identification using mass spectrometry is bottom-up or shotgun proteomics coupled with data dependent acquisition (DDA) mass spectrometry. Multiplexed fragmentation, or simultaneous isolation and fragmentation of multiple peptides, has been developed as an alternative to bottom-up DDA to increase peptide identification rates. Multiplexed peptide identification from data independent acquisition (DIA) presents major challenges to modern proteomics, however, provides the opportunity for parallelizing an otherwise serial peptide measurement. Parallelizing peptide identification and quantification may represent a significant future direction of mass spectrometry based proteomics, just as parallelized genome sequencing machines have advanced the field of genomics. The effect of mass accuracy on the FT-ARM analysis of the yeast peptide LGANAILGVSLAASR. (match count = 3) Number of Unique Proteins Introduction Novel dual linear RF ion trap FT-ICR mass spectrometer: “the Velos-FT” The overlap in identified peptides between the two approaches is approximately 40%. FT-ARM complements data dependent analysis. Histogram of peptides identified in each 100 Da window FTARM DIA experiment compared directly with conventional bottom-up proteomics approach. Inset is a histogram from a separate FT-ARM experiment with narrower (12 Da) DIA windows. Complementarity of FT-ARM results are in part due to better identification of co-isolated peptides. FT-ARM – A novel DIA analysis method which relies on high mass measurement accuracy and peptide fragmentation patterns Coincident quantification and identification Identification rate comparable to conventional DDA Quantification in complex mixtures to low femtomole levels FT-ARM will complement the development of an array based FT-ICR mass spectrometer Novel Velos-FT mass spectrometer was built and tested References 1) S. Ghaemmaghami; W. Huh; K. Bower; R. Howson; A. Belle; N. Dephoure; E. K. O'Shea and J. S. Weissman, Global analysis of protein expression in yeast. Nature 425, 737-741(16 October 2003) Acknowledgements This research was supported in part by National Institutes of Health grants 7S10RR025107, 5R01GM086688, 5R01RR023334 and the University of Washington's Proteomics Resource (UWPR95794). The authors also would like to thank Dr. Priska D. von Haller for helpful discussion. For reprints see: http://brucelab.gs.washington.edu/presentations.php