Literature DB >> 18370107

Quantitative protein profiling by mass spectrometry using isotope-coded affinity tags.

Arsalan S Haqqani1, John F Kelly, Danica B Stanimirovic.   

Abstract

A key issue in proteomics is to quantify changes in protein levels in complex biological samples under different conditions. Traditional two-dimensional gel (2-DE) electrophoresis-based proteomic approaches are tedious and suffer from several limitations, including difficulties in detecting low abundant and insoluble proteins. Isotope-coded affinity tagging (ICAT), one of the most employed chemical isotope labeling methods, can address many of the shortcomings of 2-DE. ICAT relies on the sensitivity of mass spectrometry (MS) to quantify relative protein abundance in a mixture of two differentially labeled protein samples. We describe here a detailed protocol for ICAT-based quantification of proteins in two or more biological samples, including sample preparation, ICAT labeling, fractionation and purification, and analysis by MS. For the MS analysis, we describe a "targeted" approach, which includes quantification of the samples using MS followed by selective identification of only the differentially expressed ICAT pairs using tandem MS (MS/MS). This approach gives more biologically relevant information than a data-dependent MS/MS analysis. We also describe the steps in data analysis, statistical analysis, and protein database searching.

Mesh:

Substances:

Year:  2008        PMID: 18370107     DOI: 10.1007/978-1-59745-188-8_16

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


  11 in total

Review 1.  Approaches for targeted proteomics and its potential applications in neuroscience.

Authors:  Sumit Sethi; Dipti Chourasia; Ishwar S Parhar
Journal:  J Biosci       Date:  2015-09       Impact factor: 1.826

2.  Mass Spectrometry-based Proteomics and Peptidomics for Systems Biology and Biomarker Discovery.

Authors:  Robert Cunningham; Di Ma; Lingjun Li
Journal:  Front Biol (Beijing)       Date:  2012-08-01

3.  Identification of mechanisms for attenuation of the FSC043 mutant of Francisella tularensis SCHU S4.

Authors:  Marie Lindgren; Linda Tancred; Igor Golovliov; Wayne Conlan; Susan M Twine; Anders Sjöstedt
Journal:  Infect Immun       Date:  2014-06-16       Impact factor: 3.441

Review 4.  Glycosylation and other PTMs alterations in neurodegenerative diseases: Current status and future role in neurotrauma.

Authors:  Hussein Abou-Abbass; Hadi Abou-El-Hassan; Hisham Bahmad; Kazem Zibara; Abir Zebian; Rabab Youssef; Joy Ismail; Rui Zhu; Shiyue Zhou; Xue Dong; Mayse Nasser; Marwan Bahmad; Hala Darwish; Yehia Mechref; Firas Kobeissy
Journal:  Electrophoresis       Date:  2016-04-04       Impact factor: 3.535

5.  Proteomics: challenges, techniques and possibilities to overcome biological sample complexity.

Authors:  Kondethimmanahalli Chandramouli; Pei-Yuan Qian
Journal:  Hum Genomics Proteomics       Date:  2009-12-08

Review 6.  Glycoproteomics in neurodegenerative diseases.

Authors:  Hyejin Hwang; Jianpeng Zhang; Kathryn A Chung; James B Leverenz; Cyrus P Zabetian; Elaine R Peskind; Joseph Jankovic; Zhen Su; Aneeka M Hancock; Catherine Pan; Thomas J Montine; Sheng Pan; John Nutt; Roger Albin; Marla Gearing; Richard P Beyer; Min Shi; Jing Zhang
Journal:  Mass Spectrom Rev       Date:  2010 Jan-Feb       Impact factor: 10.946

Review 7.  Applications of proteomics in the study of inflammatory bowel diseases: Current status and future directions with available technologies.

Authors:  Philip Alex; Marjan Gucek; Xuhang Li
Journal:  Inflamm Bowel Dis       Date:  2009-04       Impact factor: 5.325

8.  Analytical technologies for identification and characterization of the plant N-glycoproteome.

Authors:  Eliel Ruiz-May; Theodore W Thannhauser; Sheng Zhang; Jocelyn K C Rose
Journal:  Front Plant Sci       Date:  2012-07-04       Impact factor: 5.753

9.  Intercellular interactomics of human brain endothelial cells and th17 lymphocytes: a novel strategy for identifying therapeutic targets of CNS inflammation.

Authors:  Arsalan S Haqqani; Danica B Stanimirovic
Journal:  Cardiovasc Psychiatry Neurol       Date:  2011-06-13

10.  Protein analysis of atrial fibrosis via label-free proteomics in chronic atrial fibrillation patients with mitral valve disease.

Authors:  Peide Zhang; Wei Wang; Xin Wang; Xu Wang; Yunhu Song; Yong Han; Jing Zhang; Hui Zhao
Journal:  PLoS One       Date:  2013-04-04       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.