Abstract
The growing field of urinary proteomics shows promise to expand the number of biomarkers for the diagnosis and prognosis of a number of human diseases. With the rapid developments in mass spectrometry methods for proteome quantification, there exists an opportunity for improved sample processing and separation workflows to make important contributions to urine proteomic analyses. Here we evaluate the performance of four sample preparation methods: MStern, PreOmics in-StageTip (iST), suspension-trapping (S-Trap), and conventional urea In-Solution trypsin hydrolysis for nondepleted urine samples. Data-dependent acquisition (DDA) mode on a QExactive HF mass spectrometer was used for single-shot label-free data acquisition. Our results demonstrate a high degree of reproducibility within each workflow. PreOmics iST yields the best digestion efficiency, whereas the S-Trap workflow gives the greatest number of peptide and protein identifications. Using the S-Trap method and starting with ∼0.5 mL, we identify ∼1500 protein groups and ∼17 700 peptides from DDA analysis with a single injection on the mass spectrometer.
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