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iTRAQ Quantitative Proteomics

iTRAQ (isobaric tag for relative and absolute quantitation) proteomics, also known as iTRAQ quantitative proteomics, is a labeling quantitative proteomic analysis method. It involves the use of iTRAQ labeling technology and mass spectrometry to perform quantitative analysis on proteomes. Biotech company Baitai Parker provides mass spectrometry-based iTRAQ quantitative proteomics analysis services.

iTRAQ Quantitative Proteomics Technology

iTRAQ quantitative proteomics is a mass spectrometry-based quantitative proteomics research technology. iTRAQ stands for isobaric tag for relative and absolute quantitation, developed by AB SCIEX as a peptide in vitro labeling technology. Using iTRAQ technology, proteins within complex mixtures can be easily and quickly quantitatively analyzed through mass spectrometry to identify biomarkers. iTRAQ quantitative proteomics is suitable for unbiased, non-targeted biomarker discovery.

Principles and Steps of iTRAQ Quantitative Proteomics

iTRAQ reagents typically consist of an N-methylpiperazine reporter group, a balance group, and an N-hydroxysuccinimide ester group that reacts with primary amines in peptides. The balance group ensures that the labeled peptides from each sample are isobaric, and quantification is achieved by analyzing the reporter groups generated after cleavage in the mass spectrometer. Different samples have different reporter groups for labeled peptides, and the differences in ion intensity of these groups represent the relative abundance of the peptides they label.

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iTRAQ Quantitative Proteomics

iTRAQ quantitative proteomics employs a shotgun strategy, where proteins are first digested into peptides using enzymes, and then these peptides are differentially labeled with iTRAQ reagents. The labeled peptides are then mixed for tandem mass spectrometry analysis. This technique allows for relative and absolute quantification of proteins from multiple different source samples.

Related Services

TMT/iTRAQ/MultiNotch Quantitative Proteomics Analysis
Quantitative Proteomics Analysis

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