Literature DB >> 16841936

Automated ultra-high-pressure multidimensional protein identification technology (UHP-MudPIT) for improved peptide identification of proteomic samples.

Akira Motoyama1, John D Venable, Cristian I Ruse, John R Yates.   

Abstract

Multidimensional separation is one of the most successful approaches for proteomics studies that deal with complex samples. We have developed an automated ultra-high-pressure multidimensional liquid chromatography system that operates up to approximately 20 kpsi to improve separations and increase protein coverage from limited amount of samples. The reversed-phase gradient is operated in the constant-flow mode opposed to the constant-pressure mode, which is typical of previous ultra-high-pressure systems. In contrast to constant-pressure systems, the gradient shape is fully controllable and can be optimized for the type of samples to be run. The system also features fast sample loading/desalting using a vented column approach to improve sample throughput. This approach was validated on a soluble fraction from yeast lysate where we achieved approximately 30% more protein identifications using a 60-cm-long triphasic capillary column than with our traditional approach. Advantages of the use of a relatively long reversed-phase column (approximately 50 cm) for MudPIT-type experiments are also discussed.

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Year:  2006        PMID: 16841936     DOI: 10.1021/ac060354u

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


  34 in total

1.  Anion and cation mixed-bed ion exchange for enhanced multidimensional separations of peptides and phosphopeptides.

Authors:  Akira Motoyama; Tao Xu; Cristian I Ruse; James A Wohlschlegel; John R Yates
Journal:  Anal Chem       Date:  2007-04-06       Impact factor: 6.986

2.  Biosynthetic origin of natural products isolated from marine microorganism-invertebrate assemblages.

Authors:  T Luke Simmons; R Cameron Coates; Benjamin R Clark; Niclas Engene; David Gonzalez; Eduardo Esquenazi; Pieter C Dorrestein; William H Gerwick
Journal:  Proc Natl Acad Sci U S A       Date:  2008-02-04       Impact factor: 11.205

3.  Characterization of proteins associated with polyglutamine aggregates: a novel approach towards isolation of aggregates from protein conformation disorders.

Authors:  Yan Wang; Anatoli B Meriin; Catherine E Costello; Michael Y Sherman
Journal:  Prion       Date:  2007-04-16       Impact factor: 3.931

4.  Micro-proteome analysis using micro-chromatofocusing in intact protein separations.

Authors:  Hyeyeung Kim; David M Lubman
Journal:  J Chromatogr A       Date:  2008-03-27       Impact factor: 4.759

5.  Label-free quantitative proteomics analysis of etiolated maize seedling leaves during greening.

Authors:  Zhuo Shen; Ping Li; Rui-Juan Ni; Mark Ritchie; Chuan-Ping Yang; Gui-Feng Liu; Wei Ma; Guan-Jun Liu; Ling Ma; Shu-Juan Li; Zhi-Gang Wei; Hong-Xia Wang; Bai-Chen Wang
Journal:  Mol Cell Proteomics       Date:  2009-08-07       Impact factor: 5.911

6.  Systematical optimization of reverse-phase chromatography for shotgun proteomics.

Authors:  Ping Xu; Duc M Duong; Junmin Peng
Journal:  J Proteome Res       Date:  2009-08       Impact factor: 4.466

Review 7.  New insight into neurodegeneration: the role of proteomics.

Authors:  Ramavati Pal; Guido Alves; Jan Petter Larsen; Simon Geir Møller
Journal:  Mol Neurobiol       Date:  2013-12-10       Impact factor: 5.590

8.  Motif-specific sampling of phosphoproteomes.

Authors:  Cristian I Ruse; Daniel B McClatchy; Bingwen Lu; Daniel Cociorva; Akira Motoyama; Sung Kyu Park; John R Yates
Journal:  J Proteome Res       Date:  2008-05       Impact factor: 4.466

9.  Shotgun proteomics in neuroscience.

Authors:  Lujian Liao; Daniel B McClatchy; John R Yates
Journal:  Neuron       Date:  2009-07-16       Impact factor: 17.173

Review 10.  Advanced proteomic liquid chromatography.

Authors:  Fang Xie; Richard D Smith; Yufeng Shen
Journal:  J Chromatogr A       Date:  2012-07-09       Impact factor: 4.759

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