Literature DB >> 20363391

Multi-dimensional liquid chromatography in proteomics--a review.

Xiang Zhang1, Aiqin Fang, Catherine P Riley, Mu Wang, Fred E Regnier, Charles Buck.   

Abstract

Proteomics is the large-scale study of proteins, particularly their expression, structures and functions. This still-emerging combination of technologies aims to describe and characterize all expressed proteins in a biological system. Because of upper limits on mass detection of mass spectrometers, proteins are usually digested into peptides and the peptides are then separated, identified and quantified from this complex enzymatic digest. The problem in digesting proteins first and then analyzing the peptide cleavage fragments by mass spectrometry is that huge numbers of peptides are generated that overwhelm direct mass spectral analyses. The objective in the liquid chromatography approach to proteomics is to fractionate peptide mixtures to enable and maximize identification and quantification of the component peptides by mass spectrometry. This review will focus on existing multidimensional liquid chromatographic (MDLC) platforms developed for proteomics and their application in combination with other techniques such as stable isotope labeling. We also provide some perspectives on likely future developments. Published by Elsevier B.V.

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Year:  2010        PMID: 20363391      PMCID: PMC2852180          DOI: 10.1016/j.aca.2010.02.001

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  162 in total

Review 1.  Comparative proteomics based on stable isotope labeling and affinity selection.

Authors:  Fred E Regnier; Larry Riggs; Roujian Zhang; Li Xiong; Peiran Liu; Asish Chakraborty; Erin Seeley; Cathy Sioma; Robert A Thompson
Journal:  J Mass Spectrom       Date:  2002-02       Impact factor: 1.982

2.  Phosphoproteome analysis of HeLa cells using stable isotope labeling with amino acids in cell culture (SILAC).

Authors:  Ramars Amanchy; Dario E Kalume; Akiko Iwahori; Jun Zhong; Akhilesh Pandey
Journal:  J Proteome Res       Date:  2005 Sep-Oct       Impact factor: 4.466

3.  Protein labeling by iTRAQ: a new tool for quantitative mass spectrometry in proteome research.

Authors:  Sebastian Wiese; Kai A Reidegeld; Helmut E Meyer; Bettina Warscheid
Journal:  Proteomics       Date:  2007-02       Impact factor: 3.984

4.  Quantitative proteomics by stable isotope labeling and mass spectrometry.

Authors:  Sheng Pan; Ruedi Aebersold
Journal:  Methods Mol Biol       Date:  2007

5.  Enrichment and identification of integral membrane proteins from barley aleurone layers by reversed-phase chromatography, SDS-PAGE, and LC-MS/MS.

Authors:  Radovan Hynek; Birte Svensson; Ole Nørregaard Jensen; Vibeke Barkholt; Christine Finnie
Journal:  J Proteome Res       Date:  2006-11       Impact factor: 4.466

Review 6.  Top-down MS, a powerful complement to the high capabilities of proteolysis proteomics.

Authors:  Fred W McLafferty; Kathrin Breuker; Mi Jin; Xuemei Han; Giuseppe Infusini; Honghai Jiang; Xianglei Kong; Tadhg P Begley
Journal:  FEBS J       Date:  2007-11-16       Impact factor: 5.542

7.  Direct analysis of protein complexes using mass spectrometry.

Authors:  A J Link; J Eng; D M Schieltz; E Carmack; G J Mize; D R Morris; B M Garvik; J R Yates
Journal:  Nat Biotechnol       Date:  1999-07       Impact factor: 54.908

8.  Development of a robust and high throughput method for profiling N-linked glycans derived from plasma glycoproteins by NanoLC-FTICR mass spectrometry.

Authors:  Michael S Bereman; Douglas D Young; Alexander Deiters; David C Muddiman
Journal:  J Proteome Res       Date:  2009-07       Impact factor: 4.466

9.  Glycoproteomic analyses of ovarian cancer cell lines and sera from ovarian cancer patients show distinct glycosylation changes in individual proteins.

Authors:  Bensheng Li; Hyun Joo An; Crystal Kirmiz; Carlito B Lebrilla; Kit S Lam; Suzanne Miyamoto
Journal:  J Proteome Res       Date:  2008-07-22       Impact factor: 4.466

10.  Investigating the correspondence between transcriptomic and proteomic expression profiles using coupled cluster models.

Authors:  Simon Rogers; Mark Girolami; Walter Kolch; Katrina M Waters; Tao Liu; Brian Thrall; H Steven Wiley
Journal:  Bioinformatics       Date:  2008-10-30       Impact factor: 6.937

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  28 in total

1.  A method for isolation and identification of urinary biomarkers in patients with diabetic nephropathy.

Authors:  Wayne G Fisher; Jessica E Lucas; Uzma F Mehdi; Danna W Qunibi; Harold R Garner; Kevin P Rosenblatt; Robert D Toto
Journal:  Proteomics Clin Appl       Date:  2011-12       Impact factor: 3.494

2.  Top-Down Proteomics of Large Proteins up to 223 kDa Enabled by Serial Size Exclusion Chromatography Strategy.

Authors:  Wenxuan Cai; Trisha Tucholski; Bifan Chen; Andrew J Alpert; Sean McIlwain; Takushi Kohmoto; Song Jin; Ying Ge
Journal:  Anal Chem       Date:  2017-05-02       Impact factor: 6.986

Review 3.  Mass spectrometry in chronic kidney disease research.

Authors:  Michael L Merchant
Journal:  Adv Chronic Kidney Dis       Date:  2010-11       Impact factor: 3.620

Review 4.  Using proteomics as a powerful tool to develop a vaccine against Mediterranean visceral leishmaniasis.

Authors:  Sajad Rashidi; Kurosh Kalantar; Gholamreza Hatam
Journal:  J Parasit Dis       Date:  2018-03-19

5.  Development of Injectable Amniotic Membrane Matrix for Postmyocardial Infarction Tissue Repair.

Authors:  Jeffrey J D Henry; Lawrence Delrosario; Jun Fang; Sze Yue Wong; Qizhi Fang; Richard Sievers; Surya Kotha; Aijun Wang; Diana Farmer; Praneeth Janaswamy; Randall J Lee; Song Li
Journal:  Adv Healthc Mater       Date:  2019-11-28       Impact factor: 9.933

6.  iTRAQ-based proteomics monitors the withering dynamics in postharvest leaves of tea plant (Camellia sinensis).

Authors:  Zhi-Jun Wu; Hong-Yu Ma; Jing Zhuang
Journal:  Mol Genet Genomics       Date:  2017-08-29       Impact factor: 3.291

7.  Enhanced Peptide Detection Toward Single-Neuron Proteomics by Reversed-Phase Fractionation Capillary Electrophoresis Mass Spectrometry.

Authors:  Sam B Choi; Camille Lombard-Banek; Pablo Muñoz-LLancao; M Chiara Manzini; Peter Nemes
Journal:  J Am Soc Mass Spectrom       Date:  2017-11-16       Impact factor: 3.109

8.  Three dimensional liquid chromatography coupling ion exchange chromatography/hydrophobic interaction chromatography/reverse phase chromatography for effective protein separation in top-down proteomics.

Authors:  Santosh G Valeja; Lichen Xiu; Zachery R Gregorich; Huseyin Guner; Song Jin; Ying Ge
Journal:  Anal Chem       Date:  2015-04-29       Impact factor: 6.986

9.  Metabolic alterations derived from absence of Two-Pore Channel 1 at cardiac level.

Authors:  Vanessa Garcia-Rua; Sandra Feijoo-Bandin; Maria Garcia-Vence; Alana Aragon-Herrera; Susana B Bravo; Diego Rodriguez-Penas; Ana Mosquera-Leal; Pamela V Lear; John Parrington; Jana Alonso; Esther Rosello-Lleti; Manuel Portoles; Miguel Rivera; Jose Ramon Gonzalez-Juanatey; Francisca Lago
Journal:  J Biosci       Date:  2016-12       Impact factor: 1.826

Review 10.  A proteomics view of the molecular mechanisms and biomarkers of glaucomatous neurodegeneration.

Authors:  Gülgün Tezel
Journal:  Prog Retin Eye Res       Date:  2013-02-05       Impact factor: 21.198

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