Analysis of the urine proteome via a combination of multi-dimensional approaches
Urine is a biological fluid that is non‐invasively and easily harvested, and exhibits high stability from the proteomics point of view. At the downside, the overall low protein content of urine as well as the presence of low‐ and high‐abundance proteins underscores the need for protein enrichment. A...
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description | Urine is a biological fluid that is non‐invasively and easily harvested, and exhibits high stability from the proteomics point of view. At the downside, the overall low protein content of urine as well as the presence of low‐ and high‐abundance proteins underscores the need for protein enrichment. As a continuation of previous efforts towards the comprehensive characterization of the urine proteome, the current study targeted the mining of urine proteins through the combined application of different protein separation methodologies, specifically, liquid chromatography and preparative electrophoresis along with 1D gel electrophoresis and protein identification by mass spectrometry. In order to enhance comparison and integration of different experimental data sets, the “standard” urine sample developed within the European Kidney and Urine Proteomics (EuroKUP) COST Action, was employed. As a contribution to the existing knowledge, we focused on maintaining and providing information about experimental mass of the identified proteins as well as information pertaining to their relative abundance – as allowed by technical limitations – thus providing an initial view of different isoforms representation and facilitating their future characterization. The difficulties in comparing proteome mining data sets become once more evident, underscoring the need for adopting standardized ways for data reporting as well as for potential new approaches for data analysis involving a thorough investigation of received information at the peptide level. |
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At the downside, the overall low protein content of urine as well as the presence of low‐ and high‐abundance proteins underscores the need for protein enrichment. As a continuation of previous efforts towards the comprehensive characterization of the urine proteome, the current study targeted the mining of urine proteins through the combined application of different protein separation methodologies, specifically, liquid chromatography and preparative electrophoresis along with 1D gel electrophoresis and protein identification by mass spectrometry. In order to enhance comparison and integration of different experimental data sets, the “standard” urine sample developed within the European Kidney and Urine Proteomics (EuroKUP) COST Action, was employed. 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At the downside, the overall low protein content of urine as well as the presence of low‐ and high‐abundance proteins underscores the need for protein enrichment. As a continuation of previous efforts towards the comprehensive characterization of the urine proteome, the current study targeted the mining of urine proteins through the combined application of different protein separation methodologies, specifically, liquid chromatography and preparative electrophoresis along with 1D gel electrophoresis and protein identification by mass spectrometry. In order to enhance comparison and integration of different experimental data sets, the “standard” urine sample developed within the European Kidney and Urine Proteomics (EuroKUP) COST Action, was employed. 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subjects | Analytical, structural and metabolic biochemistry Biological and medical sciences Chromatography Chromatography, Liquid - methods Electrophoresis Electrophoresis, Gel, Two-Dimensional - methods Fundamental and applied biological sciences. Psychology Humans LC-MS/MS Male Miscellaneous Multi-dimensional separation Peptides - analysis Peptides - chemistry Protein Isoforms - analysis Proteins Proteins - analysis Proteomics Proteomics - methods Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization - methods Technology Urine Urine - chemistry |
title | Analysis of the urine proteome via a combination of multi-dimensional approaches |
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