L. Staunton , C. Tonry , R. Lis , S. Finn , J. OLeary , M. Loda , M. Bowden , S.R. Pennington
{"title":"Profiling the tumor microenvironment proteome in prostate cancer using laser capture microdissection coupled to LCMSA technical report","authors":"L. Staunton , C. Tonry , R. Lis , S. Finn , J. OLeary , M. Loda , M. Bowden , S.R. Pennington","doi":"10.1016/j.euprot.2015.11.001","DOIUrl":null,"url":null,"abstract":"<div><p>Laser capture microdissection (LCM) allows microscopic procurement of specific cell types from tissue sections. Here, we present an optimized workflow for coupling LCM to LCMS/MS including: sectioning of tissue, a standard LCM workflow, protein digestion and advanced LCMS/MS. Soluble proteins extracted from benign epithelial cells, their associated stroma, tumor epithelial cells and their associated stromal cells from a single patient tissue sample were digested and profiled using advanced LCMS/MS. The correlation between technical replicates was R<sup>2</sup> <!-->=<!--> <!-->0.99 with a mean % CV of 9.55%<!--> <!-->±<!--> <!-->8.73. The correlation between sample replicates was R<sup>2</sup> <!-->=<!--> <!-->0.97 with a mean % CV of 13.83%<!--> <!-->±<!--> <!-->10.17. This represents a robust, systematic approach for profiling of the tumor microenvironment using LCM coupled to label-free LCMS/MS.</p></div>","PeriodicalId":38260,"journal":{"name":"EuPA Open Proteomics","volume":"10 ","pages":"Pages 19-23"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.euprot.2015.11.001","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"EuPA Open Proteomics","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2212968515300246","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
引用次数: 12
Abstract
Laser capture microdissection (LCM) allows microscopic procurement of specific cell types from tissue sections. Here, we present an optimized workflow for coupling LCM to LCMS/MS including: sectioning of tissue, a standard LCM workflow, protein digestion and advanced LCMS/MS. Soluble proteins extracted from benign epithelial cells, their associated stroma, tumor epithelial cells and their associated stromal cells from a single patient tissue sample were digested and profiled using advanced LCMS/MS. The correlation between technical replicates was R2 = 0.99 with a mean % CV of 9.55% ± 8.73. The correlation between sample replicates was R2 = 0.97 with a mean % CV of 13.83% ± 10.17. This represents a robust, systematic approach for profiling of the tumor microenvironment using LCM coupled to label-free LCMS/MS.