Generating and navigating proteome maps using mass spectrometry

被引:0
|
作者
Christian H. Ahrens
Erich Brunner
Ermir Qeli
Konrad Basler
Ruedi Aebersold
机构
[1] Quantitative Model Organism Proteomics,
[2] University of Zurich,undefined
[3] Institute of Molecular Life Sciences,undefined
[4] University of Zurich,undefined
[5] Institute of Molecular Systems Biology,undefined
[6] ETH Zurich,undefined
[7] Faculty of Science,undefined
[8] University of Zurich,undefined
来源
Nature Reviews Molecular Cell Biology | 2010年 / 11卷
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Complete proteome reference maps, which contain validated, mass spectrometry (MS)-derived, reference fragment ion spectra for unique peptides for each protein of a proteome, are becoming an indispensible resource to quantify the dynamic behaviour of a proteome, or subsets thereof, under multiple conditions.Despite enormous technical advances in shotgun proteomics, which is the main MS-based proteome technology today, the generation of such reference maps has been challenging and expensive.The use of synthetic peptide libraries representing unique peptides for each protein of a proteome, and the fragment ion spectra derived from these compounds, are a good basis for the generation of complete proteome reference maps.To generate and use proteome reference maps, the precise level of resolution of proteome analysis needs to be considered and carefully defined. Specifically, resolving splice forms or differentially modified proteins poses different challenges compared to the quantification of the primary translation products of a gene locus.New MS techniques that use proteome reference maps as prior information support the quantification of complete or partial proteomes at unprecedented levels of reproducibility, sensitivity and dynamic range. Reminiscent of microarray-based gene expression analysis, such capabilities will allow the quantitative monitoring of dynamic protein expression in different cells and tissues at different states, and are particularly important for systems biology and clinical research.Proteomics is moving from an era focused on the perpetual discovery of proteins towards an era of determining the relevant biological information about proteins. Complete proteome maps will be an essential element to realize this fundamental transition.
引用
收藏
页码:789 / 801
页数:12
相关论文
共 50 条
  • [31] Mass Spectrometry Based Draft of the Human Proteome
    Kuster, Bernhard
    MOLECULAR & CELLULAR PROTEOMICS, 2014, 13 (08) : S15 - S15
  • [32] Myelin proteome resources by quantitative mass spectrometry
    Jahn, O.
    Siems, S. B.
    Gargareta, V. I.
    Nave, K. A.
    Werner, H. B.
    GLIA, 2023, 71 : E718 - E718
  • [33] Analysis of mass spectrometry profiles of the serum proteome
    Coombes, KR
    CLINICAL CHEMISTRY, 2005, 51 (01) : 1 - 2
  • [34] Differential quantitative mass spectrometry of the treg proteome
    Barra, M.
    Richards, D.
    Hansson, J.
    Krijgsveld, J.
    Feuerer, M.
    IMMUNOLOGY, 2012, 137 : 406 - 406
  • [35] SnapShot: Mass Spectrometry for Protein and Proteome Analyses
    Leitner, Alexander
    Aebersold, Ruedi
    CELL, 2013, 154 (01) : 252 - 253
  • [36] Mass spectrometry: Uncovering the cancer proteome for diagnostics
    van der Merwe, Da-Elene
    Oikonomopoulou, Katerina
    Marshall, John
    Diamandis, Eleftherios P.
    ADVANCES IN CANCER RESEARCH, VOL 96, 2007, 96 : 23 - 50
  • [37] Unbiased and targeted mass spectrometry for the HDL proteome
    Singh, Sasha A.
    Aikawa, Masanori
    CURRENT OPINION IN LIPIDOLOGY, 2017, 28 (01) : 68 - 77
  • [38] Spatial analysis of the ancient proteome of archeological teeth using mass spectrometry imaging
    Dekker, Joannes
    Larson, Tony
    Tzvetkov, Jordan
    Harvey, Virginia L. L.
    Dowle, Adam
    Hagan, Richard
    Genever, Paul
    Schrader, Sarah
    Soressi, Marie
    Hendy, Jessica
    RAPID COMMUNICATIONS IN MASS SPECTROMETRY, 2023, 37 (08)
  • [39] Quantification of the Brain Proteome in Alzheimer's Disease Using Multiplexed Mass Spectrometry
    Musunuri, Sravani
    Wetterhall, Magnus
    Ingelsson, Martin
    Lannfelt, Lars
    Artemenko, Konstantin
    Bergquist, Jonas
    Kultima, Kim
    Shevchenko, Ganna
    JOURNAL OF PROTEOME RESEARCH, 2014, 13 (04) : 2056 - 2068
  • [40] Proteome data of Anopheles stephensi hemolymph using high resolution mass spectrometry
    Dey, Gourav
    Mohanty, Ajeet Kumar
    Kumar, Manish
    Sreenivasamurthy, Sreelakshmi K.
    Kumar, Ashwani
    Prasad, T. S. Keshava
    DATA IN BRIEF, 2018, 18 : 1441 - 1447