Literature DB >> 18324724

A label-free quantification method by MS/MS TIC compared to SILAC and spectral counting in a proteomics screen.

John M Asara1, Heather R Christofk, Lisa M Freimark, Lewis C Cantley.   

Abstract

In order to assess the biological function of proteins and their modifications for understanding signaling mechanisms within cells as well as specific biomarkers to disease, it is important that quantitative information be obtained under different experimental conditions. Stable isotope labeling is a powerful method for accurately determining changes in the levels of proteins and PTMs; however, isotope labeling experiments suffer from limited dynamic range resulting in signal change ratios of less than approximately 20:1 using most commercial mass spectrometers. Label-free approaches to relative quantification in proteomics such as spectral counting have gained popularity since no additional chemistries are needed. Here, we show a label-free method for relative quantification based on the TIC from peptide MS/MS spectra collected from data-dependent runs can be used effectively as a quantitative measure and expands the dynamic range over isotope labeling experiments allowing for abundance differences up to approximately 60:1 in a screen for proteins that bind to phosphotyrosine residues.

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Year:  2008        PMID: 18324724     DOI: 10.1002/pmic.200700426

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  87 in total

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Review 3.  Novel biomarkers in type 1 diabetes.

Authors:  Yulan Jin; Jin-Xiong She
Journal:  Rev Diabet Stud       Date:  2012-12-28

4.  Use of a label-free quantitative platform based on MS/MS average TIC to calculate dynamics of protein complexes in insulin signaling.

Authors:  Xuemei Yang; Adam Friedman; Shailender Nagpal; Norbert Perrimon; John M Asara
Journal:  J Biomol Tech       Date:  2009-12

5.  Hemolymph proteins of Anopheles gambiae larvae infected by Escherichia coli.

Authors:  Xuesong He; Xiaolong Cao; Yan He; Krishna Bhattarai; Janet Rogers; Steve Hartson; Haobo Jiang
Journal:  Dev Comp Immunol       Date:  2017-04-19       Impact factor: 3.636

6.  Oncogenic B-RAF negatively regulates the tumor suppressor LKB1 to promote melanoma cell proliferation.

Authors:  Bin Zheng; Joseph H Jeong; John M Asara; Yuan-Ying Yuan; Scott R Granter; Lynda Chin; Lewis C Cantley
Journal:  Mol Cell       Date:  2009-01-30       Impact factor: 17.970

7.  Pilot proteomic profile of differentially regulated proteins in right atrial appendage before and after cardiac surgery using cardioplegia and cardiopulmonary bypass.

Authors:  Richard T Clements; Gary Smejkal; Neel R Sodha; Alexander R Ivanov; John M Asara; Jun Feng; Alexander Lazarev; Shiva Gautam; Venkatachalam Senthilnathan; Kamal R Khabbaz; Cesario Bianchi; Frank W Sellke
Journal:  Circulation       Date:  2008-09-30       Impact factor: 29.690

8.  Regulation of oxysterol-binding protein Golgi localization through protein kinase D-mediated phosphorylation.

Authors:  Sokha Nhek; Mike Ngo; Xuemei Yang; Michelle M Ng; Seth J Field; John M Asara; Neale D Ridgway; Alex Toker
Journal:  Mol Biol Cell       Date:  2010-05-05       Impact factor: 4.138

9.  GPIomics: global analysis of glycosylphosphatidylinositol-anchored molecules of Trypanosoma cruzi.

Authors:  Ernesto S Nakayasu; Dmitry V Yashunsky; Lilian L Nohara; Ana Claudia T Torrecilhas; Andrei V Nikolaev; Igor C Almeida
Journal:  Mol Syst Biol       Date:  2009-04-07       Impact factor: 11.429

Review 10.  Mass spectrometry-based label-free quantitative proteomics.

Authors:  Wenhong Zhu; Jeffrey W Smith; Chun-Ming Huang
Journal:  J Biomed Biotechnol       Date:  2009-11-10
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