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Review
. 2016 Apr;10(4):358-70.
doi: 10.1002/prca.201500102. Epub 2016 Feb 11.

Biomarker discovery in mass spectrometry-based urinary proteomics

Affiliations
Review

Biomarker discovery in mass spectrometry-based urinary proteomics

Samuel Thomas et al. Proteomics Clin Appl. 2016 Apr.

Abstract

Urinary proteomics has become one of the most attractive topics in disease biomarker discovery. MS-based proteomic analysis has advanced continuously and emerged as a prominent tool in the field of clinical bioanalysis. However, only few protein biomarkers have made their way to validation and clinical practice. Biomarker discovery is challenged by many clinical and analytical factors including, but not limited to, the complexity of urine and the wide dynamic range of endogenous proteins in the sample. This article highlights promising technologies and strategies in the MS-based biomarker discovery process, including study design, sample preparation, protein quantification, instrumental platforms, and bioinformatics. Different proteomics approaches are discussed, and progresses in maximizing urinary proteome coverage and standardization are emphasized in this review. MS-based urinary proteomics has great potential in the development of noninvasive diagnostic assays in the future, which will require collaborative efforts between analytical scientists, systems biologists, and clinicians.

Keywords: Biomarker; Mass spectrometry; Proteomics; Urine.

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Conflict of interest statement

The authors have declared no conflict of interest.

Figures

Fig. 1
Fig. 1
Web of Science search results of the yearly trend in publishing frequency for general “proteom*” biomarker papers, and those including “urin*”
Fig. 2
Fig. 2
Flowchart of the multi-fractionation procedures for urinary proteomic analysis (left) and Venn diagram of the detected 3429 proteins (right), adapted and modified from Santucci et al. [49] with permission.
Fig. 3
Fig. 3
A representative workflow of quantitative urine proteomics using isobaric labeling. Urine samples are collected from human patients (control and disease groups) and centrifuged to remove particulates and cell debris. Protein fraction from each urine sample is obtained with molecular weight cut-off filter. Total protein concentration is measured with bicinchoninic acid (BCA) assay for normalization. After protein digestion and desalting, each sample is labeled by different channels of isobaric tags and combined after labeling reaction. Offline SCX LC is often performed to fractionate samples before LC-MS/MS analysis. The intensities of reporter ions are used for relative quantification.

References

    1. Legrain P, Aebersold R, Archakov A, Bairoch A, et al. The human proteome project: current state and future direction. Mol Cell Proteomics. 2011;10 M111 009993. - PMC - PubMed
    1. Vogel C, Marcotte EM. Insights into the regulation of protein abundance from proteomic and transcriptomic analyses. Nat Rev Genet. 2012;13:227–232. - PMC - PubMed
    1. Mischak H, Allmaier G, Apweiler R, Attwood T, et al. Recommendations for biomarker identification and qualification in clinical proteomics. Sci Transl Med. 2010;2:46ps42. - PubMed
    1. Titz B, Elamin A, Martin F, Schneider T, et al. Proteomics for systems toxicology. Comput Struct Biotechnol J. 2014;11:73–90. - PMC - PubMed
    1. Rappaport SM. Biomarkers intersect with the exposome. Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals. 2012;17:483–489. - PMC - PubMed

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