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10.1002/pmic.201500526

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suck abstract from ncbi


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pmid27246681
      Proteomics 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.
  • |Computational Biology/*methods [MESH]
  • |HEK293 Cells [MESH]
  • |HeLa Cells [MESH]
  • |Humans [MESH]
  • |Mass Spectrometry/*methods [MESH]


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