IsobariQ: Software for Isobaric Quantitative Proteomics using IPTL, iTRAQ, and TMT

被引:68
作者
Arntzen, Magnus O. [1 ,2 ,3 ,4 ]
Koehler, Christian J. [1 ]
Barsnes, Harald [5 ,6 ]
Berven, Frode S. [5 ]
Treumann, Achim [7 ]
Thiede, Bernd [1 ]
机构
[1] Univ Oslo, Biotechnol Ctr Oslo, N-0317 Oslo, Norway
[2] Univ Oslo, Rikshosp, Oslo Univ Hosp, Prote Core Facil, N-0027 Oslo, Norway
[3] Univ Oslo, N-0027 Oslo, Norway
[4] Norwegian Univ Life Sci, Prote Core Facil, N-1432 As, Norway
[5] Univ Bergen, Dept Biomed, Prote Unit, Bergen, Norway
[6] Univ Bergen, Uni BCCS, Computat Biol Unit, Bergen, Norway
[7] NEPAF, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England
关键词
bioinformatics; degradomics; IPTL; iTRAQ; mass spectrometry; proteomics; quantification; software; TWIT; VSN; TANDEM MASS TAGS; PEPTIDE; TOOL; QUANTIFICATION; IDENTIFICATION; SPECTROMETRY; BIOINFORMATICS; EXPRESSION; PROTEINS; CLEAVAGE;
D O I
10.1021/pr1009977
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Isobaric peptide labeling plays an important role in relative quantitative comparisons of proteomes. Isobaric labeling techniques utilize MS/MS spectra for relative quantification, which can be either based on the relative intensities of reporter ions in the low mass region (iTRAQ and TMT) or on the relative intensities of quantification signatures throughout the spectrum due to isobaric peptide termini labeling (IPTL). Due to the increased quantitative information found in MS/MS fragment spectra generated by the recently developed IPTL approach, new software was required to extract the quantitative information. IsobariQ was specifically developed for this purpose; however, support for the reporter ion techniques iTRAQ and TMT is also included. In addition, to address recently emphasized issues about heterogeneity of variance in proteomics data sets, IsobariQ employs the statistical software package R and variance stabilizing normalization (VSN) algorithms available therein. Finally, the functionality of IsobariQ is validated with data sets of experiments using 6-plex TMT and IPTL. Notably, protein substrates resulting from cleavage by proteases can be identified as shown for caspase targets in apoptosis.
引用
收藏
页码:913 / 920
页数:8
相关论文
共 38 条
[1]  
[Anonymous], BIOINFORMATICS
[2]  
[Anonymous], 2010, R LANG ENV STAT COMP
[3]   GraBCas: a bioinformatics tool for score-based prediction of caspase- and granzyme B-cleavage sites in protein sequences [J].
Backes, C ;
Kuentzer, J ;
Lenhof, HP ;
Comtesse, N ;
Meese, E .
NUCLEIC ACIDS RESEARCH, 2005, 33 :W208-W213
[4]   Quantitative mass spectrometry in proteomics: a critical review [J].
Bantscheff, Marcus ;
Schirle, Markus ;
Sweetman, Gavain ;
Rick, Jens ;
Kuster, Bernhard .
ANALYTICAL AND BIOANALYTICAL CHEMISTRY, 2007, 389 (04) :1017-1031
[5]   8-Plex quantitation of changes in cerebrospinal fluid protein expression in subjects undergoing intravenous immunoglobulin treatment for Alzheimer's disease [J].
Choe, Leila ;
D'Ascenzo, Mark ;
Relkin, Norman R. ;
Pappin, Darryl ;
Ross, Philip ;
Williamson, Brian ;
Guertin, Steven ;
Pribil, Patrick ;
Lee, Kelvin H. .
PROTEOMICS, 2007, 7 (20) :3651-3660
[6]   MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification [J].
Cox, Juergen ;
Mann, Matthias .
NATURE BIOTECHNOLOGY, 2008, 26 (12) :1367-1372
[7]   Combining low- and high-energy tandem mass spectra for optimized peptide quantification with isobaric tags [J].
Dayon, Loic ;
Pasquarello, Carla ;
Hoogland, Christine ;
Sanchez, Jean-Charles ;
Scherl, Alexander .
JOURNAL OF PROTEOMICS, 2010, 73 (04) :769-777
[8]   Many cuts to ruin:: a comprehensive update of caspase substrates [J].
Fischer, U ;
Jänicke, RU ;
Schulze-Osthoff, K .
CELL DEATH AND DIFFERENTIATION, 2003, 10 (01) :76-100
[9]  
Galassi M., 2002, GNU SCI LIB REFERENC, p[xvi, 601]
[10]   Bioconductor: open software development for computational biology and bioinformatics [J].
Gentleman, RC ;
Carey, VJ ;
Bates, DM ;
Bolstad, B ;
Dettling, M ;
Dudoit, S ;
Ellis, B ;
Gautier, L ;
Ge, YC ;
Gentry, J ;
Hornik, K ;
Hothorn, T ;
Huber, W ;
Iacus, S ;
Irizarry, R ;
Leisch, F ;
Li, C ;
Maechler, M ;
Rossini, AJ ;
Sawitzki, G ;
Smith, C ;
Smyth, G ;
Tierney, L ;
Yang, JYH ;
Zhang, JH .
GENOME BIOLOGY, 2004, 5 (10)