Correlation of relative abundance ratios derived from peptide ion chromatograms and spectrum counting for quantitative proteomic analysis using stable isotope labeling

被引:288
作者
Zybailov, B [1 ]
Coleman, MK [1 ]
Florens, L [1 ]
Washburn, MP [1 ]
机构
[1] Stowers Inst Med Res, Kansas City, MO 64110 USA
关键词
D O I
10.1021/ac050846r
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
In this study, S. cerevisiae crude membrane fractions were prepared using the acid-labile detergent RapiGest from cells grown under rich and minimal media conditions using N-14 and N-15 ammonium sulfate as the sole nitrogen source. Four independent MudPIT analyses of 1:1 mixtures of sample were prepared and analyzed via quantitative multidimensional protein identification technology on a two-dimensional ion trap mass spectrometer. Using the method described in this study, low-abundance integral membrane proteins with up to 14 transmembrane domains were identified and their protein expression determined when sufficient spectrum counting and ion chromatogram information was generated. We demonstrate that spectrum counting and mass spectrometry derived ion chromatograms strongly correlate for determining quantitative changes in protein expression. Spectrum counting proved more reproducible and has a wider dynamic range contributing to the deviation of the two quantitative approaches from a perfect positive correlation.
引用
收藏
页码:6218 / 6224
页数:7
相关论文
共 31 条
[1]   In vitro and in silico processes to identify differentially expressed proteins [J].
Allet, N ;
Barrillat, N ;
Baussant, T ;
Boiteau, C ;
Botti, P ;
Bougueleret, L ;
Budin, N ;
Canet, D ;
Carraud, S ;
Chiappe, D ;
Christmann, N ;
Colinge, J ;
Cusin, I ;
Dafflon, N ;
Depresle, B ;
Fasso, I ;
Frauchiger, P ;
Gaertner, H ;
Gleizes, A ;
Gonzalez-Couto, E ;
Jeandenans, C ;
Karmime, A ;
Kowall, T ;
Lagache, S ;
Mahé, E ;
Masselot, A ;
Mattou, H ;
Moniatte, M ;
Niknejad, A ;
Paolini, M ;
Perret, F ;
Pinaud, N ;
Ranno, F ;
Raimondi, S ;
Reffas, S ;
Regamey, PO ;
Rey, PA ;
Rodriguez-Tomé, P ;
Rose, K ;
Rossellat, G ;
Saudrais, C ;
Schmidt, C ;
Villain, M ;
Zwahlen, C .
PROTEOMICS, 2004, 4 (08) :2333-2351
[2]   Nucleolar proteome dynamics [J].
Andersen, JS ;
Lam, YW ;
Leung, AKL ;
Ong, SE ;
Lyon, CE ;
Lamond, AI ;
Mann, M .
NATURE, 2005, 433 (7021) :77-83
[3]   Temporal analysis of phosphotyrosine-dependent signaling networks by quantitative proteomics [J].
Blagoev, B ;
Ong, SE ;
Kratchmarova, I ;
Mann, M .
NATURE BIOTECHNOLOGY, 2004, 22 (09) :1139-1145
[4]   Global protein identification and quantification technology using two-dimensional liquid chromatography nanospray mass spectrometry [J].
Chelius, D ;
Zhang, T ;
Wang, GH ;
Shen, RF .
ANALYTICAL CHEMISTRY, 2003, 75 (23) :6658-6665
[5]  
Coghlan A, 2000, YEAST, V16, P1131, DOI 10.1002/1097-0061(20000915)16:12<1131::AID-YEA609>3.0.CO
[6]  
2-F
[7]   Differential proteomics via probabilistic peptide identification scores [J].
Colinge, J ;
Chiappe, D ;
Lagache, S ;
Moniatte, M ;
Bougueleret, L .
ANALYTICAL CHEMISTRY, 2005, 77 (02) :596-606
[8]   Quantification in proteomics through stable isotope coding: A review [J].
Julka, S ;
Regnier, F .
JOURNAL OF PROTEOME RESEARCH, 2004, 3 (03) :350-363
[9]   Metabolic labeling of C-elegans and D-melanogaster for quantitative proteomics [J].
Krijgsveld, J ;
Ketting, RF ;
Mahmoudi, T ;
Johansen, J ;
Artal-Sanz, M ;
Verrijzer, CP ;
Plasterk, RHA ;
Heck, AJR .
NATURE BIOTECHNOLOGY, 2003, 21 (08) :927-931
[10]   Automated statistical analysis of protein abundance ratios from data generated by stable-isotope dilution and tandem mass spectrometry [J].
Li, XJ ;
Zhang, H ;
Ranish, JA ;
Aebersold, R .
ANALYTICAL CHEMISTRY, 2003, 75 (23) :6648-6657