Targeted In-Depth Quantification of Signaling Using Label-Free Mass Spectrometry

被引:16
|
作者
Cutillas, P. R. [1 ]
机构
[1] Queen Mary Univ London, John Vane Sci Ctr, Barts Canc Inst, London, England
来源
PROTEOMICS IN BIOLOGY, PT A | 2017年 / 585卷
基金
英国生物技术与生命科学研究理事会;
关键词
PROTEIN-KINASE; ELECTRON-TRANSFER; POSTTRANSLATIONAL MODIFICATIONS; QUANTITATIVE PHOSPHOPROTEOMICS; PHOSPHORYLATION DYNAMICS; PATHWAY ACTIVATION; CYTOSOLIC TARGET; INSULIN; ENRICHMENT; RAPAMYCIN;
D O I
10.1016/bs.mie.2016.09.021
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Protein phosphorylation encodes information on the activity of kinase-driven signaling pathways that regulate cell biology. This chapter discusses an approach, named TIQUAS (targeted in-depth quantification of signaling), to quantify cell signaling comprehensively and without bias. The workflow-based on mass spectrometry (MS) and computational science-consists of targeting the analysis of phosphopeptides previously identified by shotgun liquid chromatography tandem MS (LC-MS/MS) across the samples that are being compared. TIQUAS therefore takes advantage of concepts derived from both targeted (data-independent) and data-dependent acquisition methods; phosphorylation sites are quantified in all experimental samples regardless of whether or not these phosphopeptides were identified by MS/MS in all runs. As a result, datasets are obtained containing quantitative information on several thousand phosphorylation sites in as many samples and replicates as required in the experimental design, and these rich datasets are devoid of a significant number of missing data points. This chapter discussed the biochemical, analytical, and computational procedures required to apply the approach and for obtaining a biological interpretation of the data in the context of our understanding of cell signaling regulation and kinase-substrate relationships.
引用
收藏
页码:245 / 268
页数:24
相关论文
共 50 条
  • [1] Comparative Study of Targeted and Label-free Mass Spectrometry Methods for Protein Quantification
    Ijsselstijn, Linda
    Stoop, Marcel P.
    Stingl, Christoph
    Smitt, Peter A. E. Sillevis
    Luider, Theo M.
    Dekker, Lennard J. M.
    JOURNAL OF PROTEOME RESEARCH, 2013, 12 (04) : 2005 - 2011
  • [2] Label-free quantification using MALDI mass spectrometry: considerations and perspectives
    Amelie S. Benk
    Christoph Roesli
    Analytical and Bioanalytical Chemistry, 2012, 404 : 1039 - 1056
  • [3] Label-free quantification using MALDI mass spectrometry: considerations and perspectives
    Benk, Amelie S.
    Roesli, Christoph
    ANALYTICAL AND BIOANALYTICAL CHEMISTRY, 2012, 404 (04) : 1039 - 1056
  • [4] A label-free mass spectrometry method for the quantification of protein isotypes
    Winefield, Robert D.
    Williams, Todd D.
    Himes, Richard H.
    ANALYTICAL BIOCHEMISTRY, 2009, 395 (02) : 217 - 223
  • [5] Label-free mass spectrometry - Critical mass
    Lederman, Lynne
    BIOTECHNIQUES, 2007, 42 (06) : 681 - 681
  • [6] Highly abundant defense proteins in human sweat as revealed by targeted proteomics and label-free quantification mass spectrometry
    Csosz, E.
    Emri, G.
    Kallo, G.
    Tsaprailis, G.
    Tozser, J.
    JOURNAL OF THE EUROPEAN ACADEMY OF DERMATOLOGY AND VENEREOLOGY, 2015, 29 (10) : 2024 - 2031
  • [7] Label-free, normalized quantification of complex mass spectrometry data for proteomic analysis
    Noelle M Griffin
    Jingyi Yu
    Fred Long
    Phil Oh
    Sabrina Shore
    Yan Li
    Jim A Koziol
    Jan E Schnitzer
    Nature Biotechnology, 2010, 28 : 83 - 89
  • [8] Label-free, normalized quantification of complex mass spectrometry data for proteomic analysis
    Griffin, Noelle M.
    Yu, Jingyi
    Long, Fred
    Oh, Phil
    Shore, Sabrina
    Li, Yan
    Koziol, Jim A.
    Schnitzer, Jan E.
    NATURE BIOTECHNOLOGY, 2010, 28 (01) : 83 - U116
  • [9] In-depth evaluation of software tools for data-independent acquisition based label-free quantification
    Kuharev, Jorg
    Navarro, Pedro
    Distler, Ute
    Jahn, Olaf
    Tenzer, Stefan
    PROTEOMICS, 2015, 15 (18) : 3140 - 3151
  • [10] Probing label-free intracellular quantification of free peptide by MALDI-ToF mass spectrometry
    Rakowska, Paulina D.
    Lamarre, Baptiste
    Ryadnov, Maxim G.
    METHODS, 2014, 68 (02) : 331 - 337