Literature DB >> 14674459

Quantification of proteins and metabolites by mass spectrometry without isotopic labeling or spiked standards.

Weixun Wang1, Haihong Zhou, Hua Lin, Sushmita Roy, Thomas A Shaler, Lander R Hill, Scott Norton, Praveen Kumar, Markus Anderle, Christopher H Becker.   

Abstract

A new method is presented for quantifying proteomic and metabolomic profile data by liquid chromatography-mass spectrometry (LC-MS) with electrospray ionization. This biotechnology provides differential expression measurements and enables the discovery of biological markers (biomarkers). Work presented here uses human serum but is applicable to any fluid or tissue. The approach relies on linearity of signal versus molecular concentration and reproducibility of sample processing. There is no use of isotopic labeling or chemically similar standard materials. Linear standard curves are reported for a variety of compounds introduced into human serum. As a measure of analytical reproducibility for proteome and metabolome sampling, median coefficients of variation of 25.7 and 23.8%, respectively, were determined for approximately 3400 molecular ions (not counting their numerous isotopes) from 25 independently processed human serum samples, corresponding to a total of 85000 individual molecular ion measurements.

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Year:  2003        PMID: 14674459     DOI: 10.1021/ac026468x

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  180 in total

1.  Connecting genes to metabolites by a systems biology approach.

Authors:  Kirsi-Marja Oksman-Caldentey; Dirk Inzé; Matej Oresic
Journal:  Proc Natl Acad Sci U S A       Date:  2004-06-29       Impact factor: 11.205

2.  A hybrid approach to protein differential expression in mass spectrometry-based proteomics.

Authors:  Xuan Wang; Gordon A Anderson; Richard D Smith; Alan R Dabney
Journal:  Bioinformatics       Date:  2012-04-19       Impact factor: 6.937

Review 3.  Proteomics and systems biology: current and future applications in the nutritional sciences.

Authors:  J Bernadette Moore; Mark E Weeks
Journal:  Adv Nutr       Date:  2011-06-28       Impact factor: 8.701

4.  Deconvolution and database search of complex tandem mass spectra of intact proteins: a combinatorial approach.

Authors:  Xiaowen Liu; Yuval Inbar; Pieter C Dorrestein; Colin Wynne; Nathan Edwards; Puneet Souda; Julian P Whitelegge; Vineet Bafna; Pavel A Pevzner
Journal:  Mol Cell Proteomics       Date:  2010-09-20       Impact factor: 5.911

5.  Increased power for the analysis of label-free LC-MS/MS proteomics data by combining spectral counts and peptide peak attributes.

Authors:  Lee Dicker; Xihong Lin; Alexander R Ivanov
Journal:  Mol Cell Proteomics       Date:  2010-09-07       Impact factor: 5.911

6.  Quantitative analysis of intact apolipoproteins in human HDL by top-down differential mass spectrometry.

Authors:  Matthew T Mazur; Helene L Cardasis; Daniel S Spellman; Andy Liaw; Nathan A Yates; Ronald C Hendrickson
Journal:  Proc Natl Acad Sci U S A       Date:  2010-04-13       Impact factor: 11.205

7.  Exploration of the normal human bronchoalveolar lavage fluid proteome.

Authors:  Jinzhi Chen; Soyoung Ryu; Sina A Gharib; David R Goodlett; Lynn M Schnapp
Journal:  Proteomics Clin Appl       Date:  2008-04       Impact factor: 3.494

8.  Evaluation of normalization methods on GeLC-MS/MS label-free spectral counting data to correct for variation during proteomic workflows.

Authors:  Emine Gokce; Christopher M Shuford; William L Franck; Ralph A Dean; David C Muddiman
Journal:  J Am Soc Mass Spectrom       Date:  2011-09-24       Impact factor: 3.109

Review 9.  A Review on Quantitative Multiplexed Proteomics.

Authors:  Nishant Pappireddi; Lance Martin; Martin Wühr
Journal:  Chembiochem       Date:  2019-04-18       Impact factor: 3.164

10.  Quantitative analysis of complex peptide mixtures using FTMS and differential mass spectrometry.

Authors:  Fanyu Meng; Matthew C Wiener; Jeffrey R Sachs; Chrissina Burns; Priyanka Verma; Cloud P Paweletz; Matthew T Mazur; Ekaterina G Deyanova; Nathan A Yates; Ronald C Hendrickson
Journal:  J Am Soc Mass Spectrom       Date:  2006-10-25       Impact factor: 3.109

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