Literature DB >> 26349451

ITMSQ: A software tool for N- and C-terminal fragment ion pairs based isobaric tandem mass spectrometry quantification.

Li-Qi Xie1, Lei Zhang1, Ai-Ying Nie1, Guo-Quan Yan2, Jun Yao1, Yang Zhang1, Peng-Yuan Yang1,2, Hao-Jie Lu1,2.   

Abstract

Tandem MS (MS2) quantification using the series of N- and C-terminal fragment ion pairs generated from isobaric-labelled peptides was recently considered an accurate strategy in quantitative proteomics. However, the presence of multiplexed terminal fragment ion in MS2 spectra may reduce the efficiency of peptide identification, resulting in lower identification scores or even incorrect assignments. To address this issue, we developed a quantitative software tool, denoted isobaric tandem MS quantification (ITMSQ), to improve N- and C-terminal fragment ion pairs based isobaric MS2 quantification. A spectrum splitting module was designed to separate the MS2 spectra from different samples, increasing the accuracy of both identification and quantification. ITMSQ offers a convenient interface through which parameters can be changed along with the labelling method, and the result files and all of the intermediate files can be exported. We performed an analysis of in vivo terminal amino acid labelling labelled HeLa samples and found that the numbers of quantified proteins and peptides increased by 13.64 and 27.52% after spectrum splitting, respectively. In conclusion, ITMSQ provides an accurate and reliable quantitative solution for N- and C-terminal fragment ion pairs based isobaric MS2 quantitative methods.
© 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Bioinformatics; N- and C-terminal fragment ion pairs based isobaric MS2 quantification; Quantitative software tool; Spectrum splitting

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Year:  2015        PMID: 26349451     DOI: 10.1002/pmic.201400513

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  3 in total

1.  Selective Maleylation-Directed Isobaric Peptide Termini Labeling for Accurate Proteome Quantification.

Authors:  Xiaobo Tian; Marcel P de Vries; Susan W J Visscher; Hjalmar P Permentier; Rainer Bischoff
Journal:  Anal Chem       Date:  2020-05-12       Impact factor: 6.986

2.  A Versatile Isobaric Tag Enables Proteome Quantification in Data-Dependent and Data-Independent Acquisition Modes.

Authors:  Xiaobo Tian; Marcel P de Vries; Hjalmar P Permentier; Rainer Bischoff
Journal:  Anal Chem       Date:  2020-11-30       Impact factor: 6.986

3.  A Collision-Induced Dissociation Cleavable Isobaric Tag for Peptide Fragment Ion-Based Quantification in Proteomics.

Authors:  Xiaobo Tian; Marcel P de Vries; Hjalmar P Permentier; Rainer Bischoff
Journal:  J Proteome Res       Date:  2020-08-17       Impact factor: 4.466

  3 in total

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