Comparative study of three proteomic quantitative methods, DIGE, cICAT, and iTRAQ, using 2D gel- or LC-MALDI TOF/TOF
- PMID: 16512681
- DOI: 10.1021/pr050405o
Comparative study of three proteomic quantitative methods, DIGE, cICAT, and iTRAQ, using 2D gel- or LC-MALDI TOF/TOF
Abstract
A comparative study on the three quantitative methods frequently used in proteomics, 2D DIGE (difference gel electrophoresis), cICAT (cleavable isotope-coded affinity tags) and iTRAQ (isobaric tags for relative and absolute quantification), was carried out. DIGE and cICAT are familiar techniques used in gel- and LC-based quantitative proteomics, respectively. iTRAQ is a new LC-based technique which is gradually gaining in popularity. A systematic comparison among these quantitative methods has not been reported. In this study, we conducted well-designed comparisons using a six-protein mixture, a reconstituted protein mixture (BSA spiked into human plasma devoid of six abundant proteins), and complex HCT-116 cell lysates as the samples. All three techniques yielded quantitative results with reasonable accuracy when the six-protein or the reconstituted protein mixture was used. In DIGE, accurate quantification was sometimes compromised due to comigration or partial comigration of proteins. The iTRAQ method is more susceptible to errors in precursor ion isolation, which could be manifested with increasing sample complexity. The quantification sensitivity of each method was estimated by the number of peptides detected for each protein. In this regard, the global-tagging iTRAQ technique was more sensitive than the cysteine-specific cICAT method, which in turn was as sensitive as, if not more sensitive than, the DIGE technique. Protein profiling on HCT-116 and HCT-116 p53 -/- cell lysates displayed limited overlapping among proteins identified by the three methods, suggesting the complementary nature of these methods.
Similar articles
-
Analytical characteristics of cleavable isotope-coded affinity tag-LC-tandem mass spectrometry for quantitative proteomic studies.J Mol Diagn. 2006 Sep;8(4):513-20. doi: 10.2353/jmoldx.2006.060036. J Mol Diagn. 2006. PMID: 16931593 Free PMC article.
-
Improved reporter ion assignment of raw isobaric stable isotope labeled liquid chromatography/matrix-assisted laser desorption/ionization tandem time-of-flight mass spectral data for quantitative proteomics.Rapid Commun Mass Spectrom. 2012 Dec 15;26(23):2777-85. doi: 10.1002/rcm.6403. Rapid Commun Mass Spectrom. 2012. PMID: 23124669
-
Comprehensive proteomic analysis of protein changes during platelet storage requires complementary proteomic approaches.Transfusion. 2008 Mar;48(3):425-35. doi: 10.1111/j.1537-2995.2007.01546.x. Epub 2007 Dec 7. Transfusion. 2008. PMID: 18067510
-
Proteomics technologies for the global identification and quantification of proteins.Adv Protein Chem Struct Biol. 2010;80:1-44. doi: 10.1016/B978-0-12-381264-3.00001-1. Adv Protein Chem Struct Biol. 2010. PMID: 21109216 Review.
-
Quantitative proteomics of complex mixtures.Expert Rev Proteomics. 2011 Oct;8(5):659-77. doi: 10.1586/epr.11.55. Expert Rev Proteomics. 2011. PMID: 21999835 Review.
Cited by
-
The roles of plant proteases and protease inhibitors in drought response: a review.Front Plant Sci. 2023 Apr 18;14:1165845. doi: 10.3389/fpls.2023.1165845. eCollection 2023. Front Plant Sci. 2023. PMID: 37143877 Free PMC article. Review.
-
Multiomics endotyping of preterm infants with bronchopulmonary dysplasia and pulmonary hypertension-A pilot study.Pulm Circ. 2023 Apr 1;13(2):e12232. doi: 10.1002/pul2.12232. eCollection 2023 Apr. Pulm Circ. 2023. PMID: 37123538 Free PMC article.
-
Profiling of differentially expressed proteins between fresh and frozen-thawed Duroc boar semen using ProteinChip CM10.J Anim Sci Technol. 2023 Mar;65(2):401-411. doi: 10.5187/jast.2023.e27. Epub 2023 Mar 31. J Anim Sci Technol. 2023. PMID: 37093902 Free PMC article.
-
Insights into Regulating Mechanism of Mutagenesis Strains of Elizabethkingia meningoseptica sp. F2 by Omics Analysis.Curr Microbiol. 2023 Apr 13;80(5):183. doi: 10.1007/s00284-023-03270-8. Curr Microbiol. 2023. PMID: 37055590
-
Potential Early Markers for Breast Cancer: A Proteomic Approach Comparing Saliva and Serum Samples in a Pilot Study.Int J Mol Sci. 2023 Feb 19;24(4):4164. doi: 10.3390/ijms24044164. Int J Mol Sci. 2023. PMID: 36835577 Free PMC article.
Publication types
MeSH terms
Substances
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
Research Materials
Miscellaneous
