Literature DB >> 20486207

Multidimensional chromatography coupled to mass spectrometry in analysing complex proteomics samples.

Péter Horvatovich1, Berend Hoekman, Natalia Govorukhina, Rainer Bischoff.   

Abstract

Multidimensional chromatography coupled to mass spectrometry (LC(n)-MS) provides more separation power and an extended measured dynamic concentration range to analyse complex proteomics samples than one dimensional liquid chromatography coupled to mass spectrometry (1D-LC-MS). This review gives an overview of the most important aspects of LC(n)-MS with respect to optimizing peak capacity and evaluate orthogonality. We review recent developments in LC(n)-MS to analyse proteomics samples from the analyst point of view and give an overview over methods and future developments to process LC(n)-MS data for comprehensive differential protein expression profiling. Examples from our research, such as combining protein fractionation using high temperature reverse phase (RP) columns followed by analysis of the trypsin-digested fractions by RP LC-MS, serve to highlight possibilities and shortcomings of present-day approaches. Other LC(n)-MS systems that have been used to analyse highly complex shotgun proteomic samples, such as the combination of RP columns using low and high pH eluents or the combination of hydrophilic interaction liquid chromatography (HILIC) with RP-MS is discussed in detail.

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Year:  2010        PMID: 20486207     DOI: 10.1002/jssc.201000050

Source DB:  PubMed          Journal:  J Sep Sci        ISSN: 1615-9306            Impact factor:   3.645


  16 in total

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Authors:  Nelmi O Devarie Baez; Julie A Reisz; Cristina M Furdui
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2.  Detection of metals and metalloproteins in the plasma of stroke patients by mass spectrometry methods.

Authors:  Phanichand Kodali; Karnakar R Chitta; Julio A Landero Figueroa; Joseph A Caruso; Opeolu Adeoye
Journal:  Metallomics       Date:  2012-09-14       Impact factor: 4.526

3.  Multiple liquid chromatography separations and nanoESI-ion trap detection of plasma proteins in search of stroke biomarkers: A pilot study.

Authors:  Phanichand Kodali; Agnese Jurkevica; Julio Landero; Christopher Kuhlmann; Joseph Caruso; Opeolu Adeoye
Journal:  J Sep Sci       Date:  2012-07-16       Impact factor: 3.645

4.  Bottom-up and shotgun proteomics to identify a comprehensive cochlear proteome.

Authors:  Lancia N F Darville; Bernd H A Sokolowski
Journal:  J Vis Exp       Date:  2014-03-07       Impact factor: 1.355

5.  Identification of DNA damage checkpoint-dependent protein interactions in Saccharomyces cerevisiae using quantitative mass spectrometry.

Authors:  Francisco M Bastos de Oliveira; Marcus B Smolka
Journal:  Methods Mol Biol       Date:  2014

Review 6.  Overview: the maturing of proteomics in cardiovascular research.

Authors:  Jennifer E Van Eyk
Journal:  Circ Res       Date:  2011-02-18       Impact factor: 17.367

Review 7.  Divide and conquer: the application of organelle proteomics to heart failure.

Authors:  Giulio Agnetti; Cathrine Husberg; Jennifer E Van Eyk
Journal:  Circ Res       Date:  2011-02-18       Impact factor: 17.367

8.  In-depth proteomic analysis of mouse cochlear sensory epithelium by mass spectrometry.

Authors:  Lancia N F Darville; Bernd H A Sokolowski
Journal:  J Proteome Res       Date:  2013-06-26       Impact factor: 4.466

9.  Prometastatic GPCR CD97 is a direct target of tumor suppressor microRNA-126.

Authors:  Ying Y Lu; Michael J Sweredoski; David Huss; Rusty Lansford; Sonja Hess; David A Tirrell
Journal:  ACS Chem Biol       Date:  2013-11-25       Impact factor: 5.100

10.  A large, consistent plasma proteomics data set from prospectively collected breast cancer patient and healthy volunteer samples.

Authors:  Catherine P Riley; Xiang Zhang; Harikrishna Nakshatri; Bryan Schneider; Fred E Regnier; Jiri Adamec; Charles Buck
Journal:  J Transl Med       Date:  2011-05-27       Impact factor: 5.531

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