Literature DB >> 16342237

Multidimensional proteomics of human serum using parallel chromatography of native constituents and microplate technology.

Anton Horn1, Stefan Kreusch, Renate Bublitz, Horst Hoppe, Gerhard A Cumme, Margarete Schulze, Thomas Moore, Günter Ditze, Heidrun Rhode.   

Abstract

A versatile, multidimensional, and non-denaturing proteome separation procedure using microplate technology is presented, yielding a digitized image of proteome composition. In the first dimension, the sample under study is separated into 96 fractions by size exclusion chromatography (SEC). In the second dimension, the fractions of the first dimension are transferred by the liquid-handling device CyBi-Well (CyBio AG, Jena, Germany) to 96 parallel anion exchange chromatography columns. In this way the proteins are conserved in their native states and are distributed in 2400 liquid fractions with high recovery rates and sufficient reproducibility. The resulting fractions are subjected to protein quantitation and identification. Spectrophotometrical and immunological methods and enzyme activity measurements are used for quantitation. To identify proteins, the fractions are subjected to MALDI-MS, and their tryptic digests to both MALDI- and LC-ESI-MS/MS. All preparation steps except the first are applied in parallel to sets of multiples of 96 samples. The procedure may be refined by adding more separation steps and may be adapted to various protein amounts and to various proteomes. Moreover, the method offers the opportunity to investigate functional protein complexes. The method was applied to separate the normal human serum proteome. Within 255 fractions exhibiting the highest protein concentrations, 742 proteins were identified by LC-ESI-MS/MS peptide sequence tags.

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Year:  2006        PMID: 16342237     DOI: 10.1002/pmic.200500142

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  3 in total

1.  Proteomic technologies for the discovery of type 1 diabetes biomarkers.

Authors:  Wenbo Zhi; Sharad Purohit; Colleen Carey; Meiyao Wang; Jin-Xiong She
Journal:  J Diabetes Sci Technol       Date:  2010-07-01

Review 2.  Human body fluid proteome analysis.

Authors:  Shen Hu; Joseph A Loo; David T Wong
Journal:  Proteomics       Date:  2006-12       Impact factor: 3.984

Review 3.  Recent development of multi-dimensional chromatography strategies in proteome research.

Authors:  Jia Tang; Mingxia Gao; Chunhui Deng; Xiangming Zhang
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2008-02-02       Impact factor: 3.205

  3 in total

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