Methods and Protocols · 2019 · 26 citations · 9 references
Life SciencesBiochemistryMolecular BiologyMass Spectrometric AnalysisProtein BiochemistryProteomicsBottom-up ProteomicsClinical ProteomicsMass Spectrometry-based ProteomicsProtein IdentificationProtein SeparationMass Spectrometry ProteomicsMass Spectrometry-based Protein IdentificationProtein Mass SpectrometryProtein RecoveryProtein Sample PreparationResearch AimsSample Preparation For Intact ProteinsSample Preparation For Targeted Proteomics
The sample condition is an important factor in urine proteomics with stability and accuracy. However, a general protocol of urine protein preparation in mass spectrometry analysis has not yet been established. Here, we proposed a workflow for optimized sample preparation based on methanol/chloroform (M/C) precipitation and in-solution trypsin digestion in LC-MS/MS-based urine proteomics. The urine proteins prepared by M/C precipitation showed around 80% of the protein recovery rate. The samples showed the largest number of identified proteins, which were over 1000 on average compared with other precipitation methods in LC-MS/MS-based urine proteomics. For further improvement of the workflow, the essences were arranged in protein dissolving and trypsin digestion step for the extraction of urine proteins. Addition of Ethylene diamine tetraacetic acid (EDTA) dramatically enhanced the dissolution of protein and promoted the trypsin activity in the digestion step because the treatment increased the number of identified proteins with less missed cleavage sites. Eventually, an optimized workflow was established by a well-organized strategy for daily use in the LC-MS/MS-based urine proteomics. The workflow will be of great help for several aims based on urine proteomics approaches, such as diagnosis and biomarker discovery.
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Visith Thongboonkerd, Somchai Chutipongtanate, Rattiyaporn Kanlaya · Journal of Proteome Research · 2005 · 170 citations
Discovery of urinary metabolomic biomarkers for early detection of acute kidney injury
A Jin Won, Siwon Kim, Yoon Gyoon Kim et al. · Molecular BioSystems · 2015 · 90 citations
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Tadashi Yamamoto, Robyn Langham, Pierre Ronco et al. · PROTEOMICS · 2008 · 61 citations