| Literature DB >> 27462933 |
Jacob J Kennedy1, Jeffrey R Whiteaker1, Regine M Schoenherr1, Ping Yan1, Kimberly Allison2, Melissa Shipley3, Melissa Lerch3, Andrew N Hoofnagle3, Geoffrey Stuart Baird3, Amanda G Paulovich1.
Abstract
Despite a clinical, economic, and regulatory imperative to develop companion diagnostics, precious few new biomarkers have been successfully translated into clinical use, due in part to inadequate protein assay technologies to support large-scale testing of hundreds of candidate biomarkers in formalin-fixed paraffin-embedded (FFPE) tissues. Although the feasibility of using targeted, multiple reaction monitoring mass spectrometry (MRM-MS) for quantitative analyses of FFPE tissues has been demonstrated, protocols have not been systematically optimized for robust quantification across a large number of analytes, nor has the performance of peptide immuno-MRM been evaluated. To address this gap, we used a test battery approach coupled to MRM-MS with the addition of stable isotope-labeled standard peptides (targeting 512 analytes) to quantitatively evaluate the performance of three extraction protocols in combination with three trypsin digestion protocols (i.e., nine processes). A process based on RapiGest buffer extraction and urea-based digestion was identified to enable similar quantitation results from FFPE and frozen tissues. Using the optimized protocols for MRM-based analysis of FFPE tissues, median precision was 11.4% (across 249 analytes). There was excellent correlation between measurements made on matched FFPE and frozen tissues, both for direct MRM analysis (R(2) = 0.94) and immuno-MRM (R(2) = 0.89). The optimized process enables highly reproducible, multiplex, standardizable, quantitative MRM in archival tissue specimens.Entities:
Keywords: FFPE; archived tissue; immunoaffinity enrichment; mass spectrometry; multiple reaction monitoring; peptide assays; targeted proteomics
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Year: 2016 PMID: 27462933 PMCID: PMC5017241 DOI: 10.1021/acs.jproteome.6b00245
Source DB: PubMed Journal: J Proteome Res ISSN: 1535-3893 Impact factor: 4.466