| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH |
|
|
|
|||||||
|
|||||||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Submitted on May 10, 2004
Revised on July 14, 2004
Accepted on July 21, 2004
Banting and Best Dept Medical Research, University of Toronto, Toronto, Ontario M5G 1L6
Corresponding Author: andrew.emili{at}utoronto.ca
We have developed an integrated suite of algorithms, statistical methods and computer applications to support large-scale liquid-chromatography-tandem mass spectrometry-based gel-free shotgun profiling of complex protein mixtures using basic experimental procedures. The programs automatically detect and quantify large numbers of peptide peaks in feature-rich ion mass chromatograms, compensate for spurious fluctuations in peptide signal intensities and retention times, and reliably match related peaks across many different datasets. Application of this toolkit markedly facilitates pattern recognition and biomarker discovery in global comparative proteomic studies, simplifying mechanistic investigation of physiological responses and the detection of proteomic signatures of disease.
CiteULike 
Complore 
Connotea 
Del.icio.us 
Digg 
Reddit 
Technorati What's this?
This article has been cited by other articles:
|
|
 |
|
  T. Guina, D. Radulovic, A. J. Bahrami, D. L. Bolton, L. Rohmer, K. A. Jones-Isaac, J. Chen, L. A. Gallagher, B. Gallis, S. Ryu, et al. MglA Regulates Francisella tularensis subsp. novicida (Francisella novicida) Response to Starvation and Oxidative Stress J. Bacteriol., September 15, 2007; 189(18): 6580 - 6586. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 D. Bouyssie, A. G. de Peredo, E. Mouton, R. Albigot, L. Roussel, N. Ortega, C. Cayrol, O. Burlet-Schiltz, J.-P. Girard, and B. Monsarrat Mascot File Parsing and Quantification (MFPaQ), a New Software to Parse, Validate, and Quantify Proteomics Data Generated by ICAT and SILAC Mass Spectrometric Analyses: Application To the Proteomics Study of Membrane Proteins from Primary Human Endothelial Cells Mol. Cell. Proteomics, September 1, 2007; 6(9): 1621 - 1637. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
J. P. C. Vissers, J. I. Langridge, and J. M. F. G. Aerts Analysis and Quantification of Diagnostic Serum Markers and Protein Signatures for Gaucher Disease Mol. Cell. Proteomics, May 1, 2007; 6(5): 755 - 766. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 O. Kohlbacher, K. Reinert, C. Gropl, E. Lange, N. Pfeifer, O. Schulz-Trieglaff, and M. Sturm TOPP--the OpenMS proteomics pipeline Bioinformatics, January 15, 2007; 23(2): e191 - e197. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
J. D. Jaffe, D. R. Mani, K. C. Leptos, G. M. Church, M. A. Gillette, and S. A. Carr PEPPeR, a Platform for Experimental Proteomic Pattern Recognition Mol. Cell. Proteomics, October 1, 2006; 5(10): 1927 - 1941. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
S.-L. Wu, J. Kim, R. W. Bandle, L. Liotta, E. Petricoin, and B. L. Karger Dynamic Profiling of the Post-translational Modifications and Interaction Partners of Epidermal Growth Factor Receptor Signaling after Stimulation by Epidermal Growth Factor Using Extended Range Proteomic Analysis (ERPA) Mol. Cell. Proteomics, September 1, 2006; 5(9): 1610 - 1627. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
M. Ono, M. Shitashige, K. Honda, T. Isobe, H. Kuwabara, H. Matsuzuki, S. Hirohashi, and T. Yamada Label-free Quantitative Proteomics Using Large Peptide Data Sets Generated by Nanoflow Liquid Chromatography and Mass Spectrometry Mol. Cell. Proteomics, July 1, 2006; 5(7): 1338 - 1347. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 B. L. Nunn, S. A. Shaffer, A. Scherl, B. Gallis, M. Wu, S. I. Miller, and D. R. Goodlett Comparison of a Salmonella typhimurium proteome defined by shotgun proteomics directly on an LTQ-FT and by proteome pre-fractionation on an LCQ-DUO. Brief Funct Genomic Proteomic, June 1, 2006; 5(2): 154 - 168. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
Q. C. Ru, L. A. Zhu, J. Silberman, and C. D. Shriver Label-free Semiquantitative Peptide Feature Profiling of Human Breast Cancer and Breast Disease Sera via Two-dimensional Liquid Chromatography-Mass Spectrometry Mol. Cell. Proteomics, June 1, 2006; 5(6): 1095 - 1104. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
A. Prakash, P. Mallick, J. Whiteaker, H. Zhang, A. Paulovich, M. Flory, H. Lee, R. Aebersold, and B. Schwikowski Signal Maps for Mass Spectrometry-based Comparative Proteomics Mol. Cell. Proteomics, March 1, 2006; 5(3): 423 - 432. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
A. Pitarch, A. Jimenez, C. Nombela, and C. Gil Decoding Serological Response to Candida Cell Wall Immunome into Novel Diagnostic, Prognostic, and Therapeutic Candidates for Systemic Candidiasis by Proteomic and Bioinformatic Analyses Mol. Cell. Proteomics, January 1, 2006; 5(1): 79 - 96. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
J. C. Silva, M. V. Gorenstein, G.-Z. Li, J. P. C. Vissers, and S. J. Geromanos Absolute Quantification of Proteins by LCMSE: A Virtue of Parallel ms Acquisition Mol. Cell. Proteomics, January 1, 2006; 5(1): 144 - 156. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
X.-j. Li, E. C. Yi, C. J. Kemp, H. Zhang, and R. Aebersold A Software Suite for the Generation and Comparison of Peptide Arrays from Sets of Data Collected by Liquid Chromatography-Mass Spectrometry Mol. Cell. Proteomics, September 1, 2005; 4(9): 1328 - 1340. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
J. Listgarten and A. Emili Statistical and Computational Methods for Comparative Proteomic Profiling Using Liquid Chromatography-Tandem Mass Spectrometry Mol. Cell. Proteomics, April 1, 2005; 4(4): 419 - 434. [Abstract] [Full Text] [PDF]
|
|
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH |
| All ASBMB Journals | Journal of Biological Chemistry |
| Journal of Lipid Research | ASBMB Today |
