Literature DB >> 32129078

Urine Proteomics: Evaluation of Different Sample Preparation Workflows for Quantitative, Reproducible, and Improved Depth of Analysis.

Hua Ding1, Hossein Fazelinia1, Lynn A Spruce1, Dana A Weiss2, Stephen A Zderic2, Steven H Seeholzer1.   

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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Keywords:  MStern; PreOmics iST; S-Trap; label-free; mass spectrometry; reproducibility; sample preparation; urine proteomics

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Year:  2020        PMID: 32129078     DOI: 10.1021/acs.jproteome.9b00772

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  3 in total

1.  Urinary Proteomics Reveals Promising Biomarkers in Menstrually Related and Post-Menopause Migraine.

Authors:  Elisa Bellei; Stefania Bergamini; Cecilia Rustichelli; Emanuela Monari; Michele Dal Porto; Alessandro Fiorini; Aldo Tomasi; Anna Ferrari
Journal:  J Clin Med       Date:  2021-04-24       Impact factor: 4.241

2.  Urinary proteome profiling for stratifying patients with familial Parkinson's disease.

Authors:  Sebastian Virreira Winter; Ozge Karayel; Maximilian T Strauss; Shalini Padmanabhan; Matthew Surface; Kalpana Merchant; Roy N Alcalay; Matthias Mann
Journal:  EMBO Mol Med       Date:  2021-01-22       Impact factor: 12.137

Review 3.  Review of Liquid Chromatography-Mass Spectrometry-Based Proteomic Analyses of Body Fluids to Diagnose Infectious Diseases.

Authors:  Hayoung Lee; Seung Il Kim
Journal:  Int J Mol Sci       Date:  2022-02-16       Impact factor: 5.923

  3 in total

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