Biomedical Engineering Reference
In-Depth Information
mass tags: a novel quantification strategy
for comparative analysis of complex pro-
tein mixtures by MS/MS. Anal. Chem. 75 ,
1895-1904.
75. Dayon, L., Hainard, A., Licker, V.,
Turck, N., Kuhn, K., Hochstrasser, D.
F., Burkhard, P. R., and Sanchez, J. C.
(2008) Relative quantification of proteins
in human cerebrospinal fluids by MS/MS
using 6-plex isobaric tags. Anal. Chem. 80 ,
2921-2931.
76. Viner, R. I., Zhang, T., Second, T., and
Zabrouskov, V. (2009) Quantification of
post-translationally modified peptides of
bovine alpha-crystallin using tandem mass
tags and electron transfer dissociation. J.
Proteomics 72 , 874-885.
77. Li, S., and Zeng, D. (2007) CILATa
new reagent for quantitative proteomics.
Chem. Commun. (Cambridge, England) ,
2181-2183.
78. DeSouza, L. V., Taylor, A. M., Li, W.,
Minkoff, M. S., Romaschin, A. D., Colgan,
T. J., and Siu, K. W. (2008) Multiple
reaction monitoring of mTRAQ-labeled
peptides enables absolute quantification of
endogenous levels of a potential cancer
marker in cancerous and normal endome-
trial tissues. J. Proteome Res. 7 , 3525-3534.
79. Boehm, A. M., Putz, S., Altenhofer, D.,
Sickmann, A., and Falk, M. (2007) Pre-
cise protein quantification based on peptide
quantification using iTRAQ. BMC Bioinfor-
matics 8 , 214.
80. D'Ascenzo, M., Choe, L., and Lee,
K. H. (2008) iTRAQPak: an R based
analysis and visualization package for
8-plex isobaric protein expression data.
Brief
Sung, T. Y., and Hsu, W. L. (2006) Multi-
Q: a fully automated tool for multiplexed
protein quantitation. J. Proteome Res. 5 ,
2328-2338.
85. Shadforth, I. P., Dunkley, T. P., Lilley,
K. S., and Bessant, C. (2005) i-Tracker:
for quantitative proteomics using iTRAQ.
BMC Genomics 6 , 145.
86. Yu,C.Y.,Tsui,Y.H.,Yian,Y.H.,Sung,
T. Y., and Hsu, W. L. (2007) The Multi-Q
web server for multiplexed protein quantita-
tion. Nucleic Acids Res. 35 , W707-W712.
87. Hill, E. G., Schwacke, J. H., Comte-
Walters, S., Slate, E. H., Oberg, A. L.,
Eckel-Passow, J. E., Therneau, T. M., and
Schey, K. L. (2008) A statistical model for
iTRAQ data analysis. J. Proteome Res. 7 ,
3091-3101.
88. Griffin, T. J., Xie, H., Bandhakavi, S.,
Popko, J., Mohan, A., Carlis, J. V., and
Higgins, L. (2007) iTRAQ reagent-based
quantitative proteomic analysis on a linear
ion trap mass spectrometer. J. Proteome Res.
6 , 4200-4209.
89. Guo, T., Gan, C. S., Zhang, H., Zhu,
Y., Kon, O. L., and Sze, S. K. (2008)
Hybridization of pulsed-Q dissociation
and collision-activated dissociation in
linear ion trap mass spectrometer for
iTRAQ quantitation. J. Proteome Res. 7 ,
4831-4840.
90. Oda, Y., Huang, K., Cross, F. R., Cow-
burn, D., and Chait, B. T. (1999) Accurate
quantitation of protein expression and site-
specific phosphorylation. Proc. Natl. Acad.
Sci. USA 96 , 6591-6596.
91. Conrads, T. P., Alving, K., Veenstra, T. D.,
Belov, M. E., Anderson, G. A., Anderson,
D. J., Lipton, M. S., Pasa-Tolic, L., Udseth,
H. R., Chrisler, W. B., Thrall, B. D., and
Smith, R. D. (2001) Quantitative analysis of
bacterial and mammalian proteomes using
a combination of cysteine affinity tags and
15 N-metabolic labeling. Anal. Chem. 73 ,
2132-2139.
92. Washburn, M. P., Koller, A., Oshiro,
G., Ulaszek, R. R., Plouffe, D., Deciu,
C., Winzeler, E., and Yates, J. R., 3rd.
(2003) Protein pathway and complex clus-
tering of correlated mRNA and protein
expression analyses in Saccharomyces cere-
visiae . Proc. Natl. Acad. Sci. USA 100 ,
3107-3112.
93. Bindschedler, L. V., Palmblad, M., and
Cramer, R. (2008) Hydroponic isotope
labelling of entire plants (HILEP) for
quantitative plant proteomics; an oxida-
tive stress case study. Phytochemistry 69 ,
1962-1972.
Funct. Genomic
Proteomic
7 ,
127-135.
81. Hundertmark, C., Fischer, R., Reinl, T.,
May, S., Klawonn, F., and Jansch, L.
(2009) MS-specific noise model reveals the
potential of iTRAQ in quantitative pro-
teomics. Bioinformatics (Oxford, England)
25 , 1004-1011.
82. Lacerda, C. M., Xin, L., Rogers, I., and
Reardon, K. F. (2008) Analysis of iTRAQ
data using Mascot and peaks quantification
algorithms. Brief Funct. Genomic Proteomic
7 , 119-126.
83. Laderas, T., Bystrom, C., McMillen, D.,
Fan, G., and McWeeney, S. (2007) Tand-
TRAQ: an open-source tool for inte-
grated protein identification and quantita-
tion. Bioinformatics (Oxford, England) 23 ,
3394-3396.
84. Lin, W. T., Hung, W. N., Yian, Y. H., Wu,
K.P.,Han,C.L.,Chen,Y.R.,Chen,Y.J.,
 
 
 
 
 
 
 
 
 
 
 
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