Literature DB >> 21632532

Liquid chromatography-mass spectrometry-based quantitative proteomics.

Fang Xie1, Tao Liu, Wei-Jun Qian, Vladislav A Petyuk, Richard D Smith.   

Abstract

LC-MS-based quantitative proteomics has become increasingly applied to a wide range of biological applications due to growing capabilities for broad proteome coverage and good accuracy and precision in quantification. Herein, we review the current LC-MS-based quantification methods with respect to their advantages and limitations and highlight their potential applications.

Mesh：

Year:  2011        PMID： 21632532      PMCID： PMC3138289          DOI： 10.1074/jbc.R110.199703

Source DB:  PubMed          Journal:  J Biol Chem        ISSN： 0021-9258            Impact factor:   5.157


  64 in total

1.  High-throughput comparative proteome analysis using a quantitative cysteinyl-peptide enrichment technology.

Authors:  Tao Liu; Wei-Jun Qian; Eric F Strittmatter; David G Camp; Gordon A Anderson; Brian D Thrall; Richard D Smith
Journal:  Anal Chem       Date:  2004-09-15       Impact factor: 6.986

2.  Charge competition and the linear dynamic range of detection in electrospray ionization mass spectrometry.

Authors:  Keqi Tang; Jason S Page; Richard D Smith
Journal:  J Am Soc Mass Spectrom       Date:  2004-10       Impact factor: 3.109

3.  The absolute quantification strategy: a general procedure for the quantification of proteins and post-translational modifications.

Authors:  Donald S Kirkpatrick; Scott A Gerber; Steven P Gygi
Journal:  Methods       Date:  2005-01-12       Impact factor: 3.608

4.  A software suite for the generation and comparison of peptide arrays from sets of data collected by liquid chromatography-mass spectrometry.

Authors:  Xiao-jun Li; Eugene C Yi; Christopher J Kemp; Hui Zhang; Ruedi Aebersold
Journal:  Mol Cell Proteomics       Date:  2005-07-26       Impact factor: 5.911

5.  Increased quantitative proteome coverage with (13)C/(12)C-based, acid-cleavable isotope-coded affinity tag reagent and modified data acquisition scheme.

Authors:  Eugene C Yi; Xiao-Jun Li; Kelly Cooke; Hookeun Lee; Brian Raught; Andrew Page; Victoria Aneliunas; Phil Hieter; David R Goodlett; Ruedi Aebersold
Journal:  Proteomics       Date:  2005-02       Impact factor: 3.984

6.  Quantitative analysis of complex protein mixtures using isotope-coded affinity tags.

Authors:  S P Gygi; B Rist; S A Gerber; F Turecek; M H Gelb; R Aebersold
Journal:  Nat Biotechnol       Date:  1999-10       Impact factor: 54.908

7.  Time-resolved mass spectrometry of tyrosine phosphorylation sites in the epidermal growth factor receptor signaling network reveals dynamic modules.

Authors:  Yi Zhang; Alejandro Wolf-Yadlin; Phillip L Ross; Darryl J Pappin; John Rush; Douglas A Lauffenburger; Forest M White
Journal:  Mol Cell Proteomics       Date:  2005-06-11       Impact factor: 5.911

8.  Comparative proteome analyses of human plasma following in vivo lipopolysaccharide administration using multidimensional separations coupled with tandem mass spectrometry.

Authors:  Wei-Jun Qian; Jon M Jacobs; David G Camp; Matthew E Monroe; Ronald J Moore; Marina A Gritsenko; Steve E Calvano; Stephen F Lowry; Wenzhong Xiao; Lyle L Moldawer; Ronald W Davis; Ronald G Tompkins; Richard D Smith
Journal:  Proteomics       Date:  2005-02       Impact factor: 3.984

9.  Quantitative proteome analysis of human plasma following in vivo lipopolysaccharide administration using 16O/18O labeling and the accurate mass and time tag approach.

Authors:  Wei-Jun Qian; Matthew E Monroe; Tao Liu; Jon M Jacobs; Gordon A Anderson; Yufeng Shen; Ronald J Moore; David J Anderson; Rui Zhang; Steve E Calvano; Stephen F Lowry; Wenzhong Xiao; Lyle L Moldawer; Ronald W Davis; Ronald G Tompkins; David G Camp; Richard D Smith
Journal:  Mol Cell Proteomics       Date:  2005-03-07       Impact factor: 5.911

10.  Multiplexed protein quantitation in Saccharomyces cerevisiae using amine-reactive isobaric tagging reagents.

Authors:  Philip L Ross; Yulin N Huang; Jason N Marchese; Brian Williamson; Kenneth Parker; Stephen Hattan; Nikita Khainovski; Sasi Pillai; Subhakar Dey; Scott Daniels; Subhasish Purkayastha; Peter Juhasz; Stephen Martin; Michael Bartlet-Jones; Feng He; Allan Jacobson; Darryl J Pappin
Journal:  Mol Cell Proteomics       Date:  2004-09-22       Impact factor: 5.911
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  62 in total

1.  The proteome and lipidome of Synechocystis sp. PCC 6803 cells grown under light-activated heterotrophic conditions.

Authors:  Nicole Plohnke; Tobias Seidel; Uwe Kahmann; Matthias Rögner; Dirk Schneider; Sascha Rexroth
Journal:  Mol Cell Proteomics       Date:  2015-01-05       Impact factor: 5.911

2.  In silico instrumental response correction improves precision of label-free proteomics and accuracy of proteomics-based predictive models.

Authors:  Yaroslav Lyutvinskiy; Hongqian Yang; Dorothea Rutishauser; Roman A Zubarev
Journal:  Mol Cell Proteomics       Date:  2013-04-15       Impact factor: 5.911

Review 3.  Protein-protein interactions: switch from classical methods to proteomics and bioinformatics-based approaches.

Authors:  Armand G Ngounou Wetie; Izabela Sokolowska; Alisa G Woods; Urmi Roy; Katrin Deinhardt; Costel C Darie
Journal:  Cell Mol Life Sci       Date:  2013-04-12       Impact factor: 9.261

4.  Conservation of protein abundance patterns reveals the regulatory architecture of the EGFR-MAPK pathway.

Authors:  Tujin Shi; Mario Niepel; Jason E McDermott; Yuqian Gao; Carrie D Nicora; William B Chrisler; Lye M Markillie; Vladislav A Petyuk; Richard D Smith; Karin D Rodland; Peter K Sorger; Wei-Jun Qian; H Steven Wiley
Journal:  Sci Signal       Date:  2016-07-12       Impact factor: 8.192

Review 5.  Advances in Detection of Kidney Transplant Injury.

Authors:  Sanjeeva Herath; Jonathan Erlich; Amy Y M Au; Zoltán H Endre
Journal:  Mol Diagn Ther       Date:  2019-06       Impact factor: 4.074

6.  Quantitative peptidomics for discovery of circadian-related peptides from the rat suprachiasmatic nucleus.

Authors:  Ji Eun Lee; Leonid Zamdborg; Bruce R Southey; Norman Atkins; Jennifer W Mitchell; Mingxi Li; Martha U Gillette; Neil L Kelleher; Jonathan V Sweedler
Journal:  J Proteome Res       Date:  2013-01-11       Impact factor: 4.466

7.  Sources of technical variability in quantitative LC-MS proteomics: human brain tissue sample analysis.

Authors:  Paul D Piehowski; Vladislav A Petyuk; Daniel J Orton; Fang Xie; Ronald J Moore; Manuel Ramirez-Restrepo; Anzhelika Engel; Andrew P Lieberman; Roger L Albin; David G Camp; Richard D Smith; Amanda J Myers
Journal:  J Proteome Res       Date:  2013-04-10       Impact factor: 4.466

Review 8.  Quantification of histone modifications using ¹⁵N metabolic labeling.

Authors:  Chunchao Zhang; Yifan Liu; Philip C Andrews
Journal:  Methods       Date:  2013-02-27       Impact factor: 3.608

9.  De Novo Design and Implementation of a Tandem Acyl Carrier Protein Domain in a Type I Modular Polyketide Synthase.

Authors:  Zilong Wang; Saket R Bagde; Gerardo Zavala; Tsutomu Matsui; Xi Chen; Chu-Young Kim
Journal:  ACS Chem Biol       Date:  2018-10-24       Impact factor: 5.100

10.  Improved detection of quantitative differences using a combination of spectral counting and MS/MS total ion current.

Authors:  Dana M Freund; Jessica E Prenni
Journal:  J Proteome Res       Date:  2013-03-12       Impact factor: 4.466
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