1 research outputs found
Accurate Peptide Fragment Mass Analysis: Multiplexed Peptide Identification and Quantification
Fourier transform-all reaction monitoring (FT-ARM) is
a novel approach
for the identification and quantification of peptides that relies
upon the selectivity of high mass accuracy data and the specificity
of peptide fragmentation patterns. An FT-ARM experiment involves continuous,
data-independent, high mass accuracy MS/MS acquisition spanning a
defined <i>m</i>/<i>z</i> range. Custom software
was developed to search peptides against the multiplexed fragmentation
spectra by comparing theoretical or empirical fragment ions against
every fragmentation spectrum across the entire acquisition. A dot
product score is calculated against each spectrum to generate a score
chromatogram used for both identification and quantification. Chromatographic
elution profile characteristics are not used to cluster precursor
peptide signals to their respective fragment ions. FT-ARM identifications
are demonstrated to be complementary to conventional data-dependent
shotgun analysis, especially in cases where the data-dependent method
fails because of fragmenting multiple overlapping precursors. The
sensitivity, robustness, and specificity of FT-ARM quantification
are shown to be analogous to selected reaction monitoring-based peptide
quantification with the added benefit of minimal assay development.
Thus, FT-ARM is demonstrated to be a novel and complementary data
acquisition, identification, and quantification method for the large
scale analysis of peptides
