Literature DB >> 20839106

Quantification of proteins by iTRAQ.

Richard D Unwin1.   

Abstract

Protein relative quantification is a key facet of many proteomics experiments. Several methods exist for this type of work, some of which are described elsewhere in this volume. In this chapter we will describe the use of isobaric tags for relative and absolute quantification (iTRAQ). These chemical tags attach to all peptides in a protein digest via free amines at the peptide N-terminus and on the side chain of lysine residues. Labelled samples are then pooled and analysed simultaneously. Since the tags are isobaric, labelled peptides do not show a mass shift in MS, instead signal from the same peptide from all samples is summed, providing a moderate increase in sensitivity. Upon peptide fragmentation, sequence ions (b- and y-type) also show this summed intensity which aids sensitivity. However, the distribution of isotopes in the different tags is such that when the tags fragment a tag-specific 'reporter' ion is released. The ratio of signal intensities from these tags acts as an indication of the relative proportions of that peptide between the different labelled samples. This chapter will describe the procedure for labelling and analysing peptide/protein samples using iTRAQ.

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Year:  2010        PMID: 20839106     DOI: 10.1007/978-1-60761-780-8_12

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  22 in total

1.  Molecular and genetic analysis of the Drosophila model of fragile X syndrome.

Authors:  Charles R Tessier; Kendal Broadie
Journal:  Results Probl Cell Differ       Date:  2012

2.  iTRAQ-Based Global Proteomic Analysis of Salmonella enterica Serovar Typhimurium in Response to Desiccation, Low Water Activity, and Thermal Treatment.

Authors:  Alice Maserati; Antonio Lourenco; Francisco Diez-Gonzalez; Ryan C Fink
Journal:  Appl Environ Microbiol       Date:  2018-08-31       Impact factor: 4.792

3.  Applications of Multiple Reaction Monitoring to Clinical Glycomics.

Authors:  L Renee Ruhaak; Carlito B Lebrilla
Journal:  Chromatographia       Date:  2015-03-01       Impact factor: 2.044

4.  Comparative proteomic analysis of renal tissue in IgA nephropathy with iTRAQ quantitative proteomics.

Authors:  Weiguo Sui; Zhenzhen Cui; Ruohan Zhang; Wen Xue; Minglin Ou; Guimian Zou; Jiejing Chen; Yong Dai
Journal:  Biomed Rep       Date:  2014-07-23

5.  Streamlined Protocol for Deep Proteomic Profiling of FAC-sorted Cells and Its Application to Freshly Isolated Murine Immune Cells.

Authors:  Samuel A Myers; Andrew Rhoads; Alexandra R Cocco; Ryan Peckner; Adam L Haber; Lawrence D Schweitzer; Karsten Krug; D R Mani; Karl R Clauser; Orit Rozenblatt-Rosen; Nir Hacohen; Aviv Regev; Steven A Carr
Journal:  Mol Cell Proteomics       Date:  2019-02-21       Impact factor: 5.911

6.  iTRAQ-based proteomic analysis provides insights into the molecular mechanisms of rice formyl tetrahydrofolate deformylase in salt response.

Authors:  Erhui Xiong; Chen Zhang; Chenxi Ye; Yaohuang Jiang; Yanli Zhang; Fei Chen; Guojun Dong; Dali Zeng; Yanchun Yu; Limin Wu
Journal:  Planta       Date:  2021-09-17       Impact factor: 4.116

7.  Proteomic features of skeletal muscle adaptation to resistance exercise training as a function of age.

Authors:  Colleen S Deane; Bethan E Phillips; Craig R G Willis; Daniel J Wilkinson; Ken Smith; Nahoko Higashitani; John P Williams; Nathaniel J Szewczyk; Philip J Atherton; Atsushi Higashitani; Timothy Etheridge
Journal:  Geroscience       Date:  2022-09-26       Impact factor: 7.581

8.  Comparison of protein expression ratios observed by sixplex and duplex TMT labeling method.

Authors:  Navin Rauniyar; Benbo Gao; Daniel B McClatchy; John R Yates
Journal:  J Proteome Res       Date:  2012-12-24       Impact factor: 4.466

9.  Plasma-Derived Exosomal ALIX as a Novel Biomarker for Diagnosis and Classification of Pancreatic Cancer.

Authors:  Jie Yang; Yixuan Zhang; Xin Gao; Yue Yuan; Jing Zhao; Siqi Zhou; Hui Wang; Lei Wang; Guifang Xu; Xihan Li; Pin Wang; Xiaoping Zou; Dongming Zhu; Ying Lv; Shu Zhang
Journal:  Front Oncol       Date:  2021-05-05       Impact factor: 6.244

10.  Multiplexed Isobaric Quantitative Cross-Linking Reveals Drug-Induced Interactome Changes in Breast Cancer Cells.

Authors:  Helisa H Wippel; Juan D Chavez; Andrew D Keller; James E Bruce
Journal:  Anal Chem       Date:  2022-02-02       Impact factor: 6.986

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