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2016 ; 16
(15-16
): 2257-71
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Untargeted, spectral library-free analysis of data-independent acquisition
proteomics data generated using Orbitrap mass spectrometers
#MMPMID27246681
Tsou CC
; Tsai CF
; Teo GC
; Chen YJ
; Nesvizhskii AI
Proteomics
2016[Aug]; 16
(15-16
): 2257-71
PMID27246681
show ga
We describe an improved version of the data-independent acquisition (DIA)
computational analysis tool DIA-Umpire, and show that it enables highly
sensitive, untargeted, and direct (spectral library-free) analysis of DIA data
obtained using the Orbitrap family of mass spectrometers. DIA-Umpire v2
implements an improved feature detection algorithm with two additional filters
based on the isotope pattern and fractional peptide mass analysis. The targeted
re-extraction step of DIA-Umpire is updated with an improved scoring function and
a more robust, semiparametric mixture modeling of the resulting scores for
computing posterior probabilities of correct peptide identification in a targeted
setting. Using two publicly available Q Exactive DIA datasets generated using
HEK-293 cells and human liver microtissues, we demonstrate that DIA-Umpire can
identify similar number of peptide ions, but with better identification
reproducibility between replicates and samples, as with conventional
data-dependent acquisition. We further demonstrate the utility of DIA-Umpire
using a series of Orbitrap Fusion DIA experiments with HeLa cell lysates profiled
using conventional data-dependent acquisition and using DIA with different
isolation window widths.