Literature DB >> 16534745

Quantitative proteomics using 16O/18O labeling and linear ion trap mass spectrometry.

Daniel López-Ferrer1, Antonio Ramos-Fernández, Salvador Martínez-Bartolomé, Predestinación García-Ruiz, Jesús Vázquez.   

Abstract

Quantitative proteomics using stable isotopic 16O/18O labeling has emerged as a very powerful tool, since it has a number of advantages over other methods, including the simplicity of chemistry, the constant mass tag at the C termini and its general applicability. However, due to the small mass difference between labeled and unlabeled peptide species, this approach has usually been restricted to high-resolution mass spectrometers. In this study we explored whether the high-resolution scanning mode, together with the extremely high scanning speed of the linear IT allows the 16O/18O-labeling method to be used for accurate, large-scale quantitative analysis of proteomes. A protocol, including digestion, desalting, labeling, MS and quantitative analysis was developed and tested using protein standards and whole proteome extracts. Using this method we were able to identify and quantify 140 proteins from only 10 mug of a proteome extract from mesenchymal stem cells. Relative expression changes larger than twofold can be identified with this method at the 95% confidence level. Our results demonstrate that accurate quantitative analysis using 16O/18O labeling can be performed in the practice using linear IT MS, without compromising large-scale peptide identification efficiency.

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Year:  2006        PMID: 16534745     DOI: 10.1002/pmic.200500375

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


  19 in total

1.  A robust method for quantitative high-throughput analysis of proteomes by 18O labeling.

Authors:  Elena Bonzon-Kulichenko; Daniel Pérez-Hernández; Estefanía Núñez; Pablo Martínez-Acedo; Pedro Navarro; Marco Trevisan-Herraz; María del Carmen Ramos; Saleta Sierra; Sara Martínez-Martínez; Marisol Ruiz-Meana; Elizabeth Miró-Casas; David García-Dorado; Juan Miguel Redondo; Javier S Burgos; Jesús Vázquez
Journal:  Mol Cell Proteomics       Date:  2010-08-31       Impact factor: 5.911

2.  A novel strategy for global analysis of the dynamic thiol redox proteome.

Authors:  Pablo Martínez-Acedo; Estefanía Núñez; Francisco J Sánchez Gómez; Margoth Moreno; Elena Ramos; Alicia Izquierdo-Álvarez; Elisabet Miró-Casas; Raquel Mesa; Patricia Rodriguez; Antonio Martínez-Ruiz; David Garcia Dorado; Santiago Lamas; Jesús Vázquez
Journal:  Mol Cell Proteomics       Date:  2012-05-30       Impact factor: 5.911

Review 3.  Proteomic analysis of stem cell differentiation and early development.

Authors:  Dennis van Hoof; Jeroen Krijgsveld; Christine Mummery
Journal:  Cold Spring Harb Perspect Biol       Date:  2012-03-01       Impact factor: 10.005

Review 4.  18O stable isotope labeling in MS-based proteomics.

Authors:  Xiaoying Ye; Brian Luke; Thorkell Andresson; Josip Blonder
Journal:  Brief Funct Genomic Proteomic       Date:  2009-01-16

5.  A Bayesian Markov-chain-based heteroscedastic regression model for the analysis of 18O-labeled mass spectra.

Authors:  Qi Zhu; Tomasz Burzykowski
Journal:  J Am Soc Mass Spectrom       Date:  2011-01-15       Impact factor: 3.109

Review 6.  Advancement of mass spectrometry-based proteomics technologies to explore triple negative breast cancer.

Authors:  Sayem Miah; Charles A S Banks; Mark K Adams; Laurence Florens; Kiven E Lukong; Michael P Washburn
Journal:  Mol Biosyst       Date:  2016-12-20

7.  Recent advances in mass spectrometry (MS)-based glycoproteomics in complex biological samples.

Authors:  Zhengwei Chen; Junfeng Huang; Lingjun Li
Journal:  Trends Analyt Chem       Date:  2018-10-15       Impact factor: 12.296

8.  Statistical model to analyze quantitative proteomics data obtained by 18O/16O labeling and linear ion trap mass spectrometry: application to the study of vascular endothelial growth factor-induced angiogenesis in endothelial cells.

Authors:  Inmaculada Jorge; Pedro Navarro; Pablo Martínez-Acedo; Estefanía Núñez; Horacio Serrano; Arántzazu Alfranca; Juan Miguel Redondo; Jesús Vázquez
Journal:  Mol Cell Proteomics       Date:  2009-01-29       Impact factor: 5.911

9.  18O proteomics reveal increased human apolipoprotein CIII in Hispanic HIV-1+ women with HAART that use cocaine.

Authors:  Frances Zenón; Inmaculada Jorge; Ailed Cruz; Erick Suárez; Annabell C Segarra; Jesús Vázquez; Loyda M Meléndez; Horacio Serrano
Journal:  Proteomics Clin Appl       Date:  2015-11-19       Impact factor: 3.494

10.  Rapid sample processing for LC-MS-based quantitative proteomics using high intensity focused ultrasound.

Authors:  Daniel López-Ferrer; Tyler H Heibeck; Konstantinos Petritis; Kim K Hixson; Weijun Qian; Matthew E Monroe; Anoop Mayampurath; Ronald J Moore; Mikhail E Belov; David G Camp; Richard D Smith
Journal:  J Proteome Res       Date:  2008-08-08       Impact factor: 4.466

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