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Multidimensional proteomics of human serum using parallel chromatography of native constituents and microplate technology
Author(s) -
Horn Anton,
Kreusch Stefan,
Bublitz Renate,
Hoppe Horst,
Cumme Gerhard A.,
Schulze Margarete,
Moore Thomas,
Ditze Günter,
Rhode Heidrun
Publication year - 2006
Publication title -
proteomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/pmic.200500142
Subject(s) - proteomics , chromatography , chemistry , computational biology , biology , biochemistry , gene
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.