High-throughput MS-based protein phenotyping: Application to haptoglobin
Autor: | Dobrin Nedelkov, Urban A. Kiernan, Allan L. Bieber, Randall W. Nelson, Eric E. Niederkofler, Kemmons A. Tubbs |
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Rok vydání: | 2005 |
Předmět: |
Immunoassay
chemistry.chemical_classification education.field_of_study Chromatography Haptoglobins biology Globular protein High-throughput screening Haptoglobin Population Pipette Proteomics Biochemistry Phenotype Mass Spectrometry chemistry biology.protein Humans Antibody education Protein Processing Post-Translational Molecular Biology |
Zdroj: | PROTEOMICS. 5:5002-5007 |
ISSN: | 1615-9861 1615-9853 |
Popis: | A high-throughput affinity capture and reduction approach was developed for phenotype and post-translational modification analysis of a complexed globular protein, haptoglobin (Hp), directly from human plasma. Hp was selectively retrieved utilizing anti-Hp antibodies immobilized onto affinity pipette tips, eluted onto a formatted mass spectrometer target for reduction of Hp alpha-chains (Hpalpha1 and Hpalpha2) and subjected to subsequent MALDI-MS analysis. The affinity capture and reduction approach was originally developed from a pre-extraction reduction methodology that was optimized to an affinity capture post-reduction technique for intact Hp alpha-chain variant analysis, phenotype classification and ensuing post-translational variant detection. Three common Hp phenotypes (1-1, 2-1 and 2-2) were assigned according to detection of Hpalpha1 and/or Hpalpha2 reduced intact chain(s) average mass(es). The affinity capture post-reduction approach was scaled for high-throughput Hp alpha-chain phenotype analysis from a normal plasma cohort. The entire sample cohort was successfully analyzed and phenotyped using the developed approach. Additionally, Hp post-translational variants were detected and assigned via accurate MS analyses. The results of this study suggest use of the methodology in future analyses of other similarly complexed proteins and in normal versus disease cohort population proteomics studies. |
Databáze: | OpenAIRE |
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