Literature DB >> 21726088

Rapid verification of candidate serological biomarkers using gel-based, label-free multiple reaction monitoring.

Hsin-Yao Tang1, Lynn A Beer, Kurt T Barnhart, David W Speicher.   

Abstract

Stable isotope dilution-multiple reaction monitoring-mass spectrometry (SID-MRM-MS) has emerged as a promising platform for verification of serological candidate biomarkers. However, cost and time needed to synthesize and evaluate stable isotope peptides, optimize spike-in assays, and generate standard curves quickly becomes unattractive when testing many candidate biomarkers. In this study, we demonstrate that label-free multiplexed MRM-MS coupled with major protein depletion and 1D gel separation is a time-efficient, cost-effective initial biomarker verification strategy requiring less than 100 μL of serum. Furthermore, SDS gel fractionation can resolve different molecular weight forms of targeted proteins with potential diagnostic value. Because fractionation is at the protein level, consistency of peptide quantitation profiles across fractions permits rapid detection of quantitation problems for specific peptides from a given protein. Despite the lack of internal standards, the entire workflow can be highly reproducible, and long-term reproducibility of relative protein abundance can be obtained using different mass spectrometers and LC methods with external reference standards. Quantitation down to ~200 pg/mL could be achieved using this workflow. Hence, the label-free GeLC-MRM workflow enables rapid, sensitive, and economical initial screening of large numbers of candidate biomarkers prior to setting up SID-MRM assays or immunoassays for the most promising candidate biomarkers.

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Year:  2011        PMID: 21726088      PMCID: PMC3166403          DOI: 10.1021/pr2002098

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


  49 in total

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  16 in total

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4.  A xenograft mouse model coupled with in-depth plasma proteome analysis facilitates identification of novel serum biomarkers for human ovarian cancer.

Authors:  Hsin-Yao Tang; Lynn A Beer; Tony Chang-Wong; Rachel Hammond; Phyllis Gimotty; George Coukos; David W Speicher
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5.  LC-SRM-Based Targeted Quantification of Urinary Protein Biomarkers.

Authors:  Yuqian Gao; Hui Wang; Carrie D Nicora; Tujin Shi; Richard D Smith; Tara K Sigdel; Minnie M Sarwal; David G Camp; Wei-Jun Qian
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6.  A label-free selected reaction monitoring workflow identifies a subset of pregnancy specific glycoproteins as potential predictive markers of early-onset pre-eclampsia.

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7.  Comparative secretome analysis of epithelial and mesenchymal subpopulations of head and neck squamous cell carcinoma identifies S100A4 as a potential therapeutic target.

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10.  Whole gel processing procedure for GeLC-MS/MS based proteomics.

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