Authors
Philipp Mertins, Lauren C Tang, Karsten Krug, David J Clark, Marina A Gritsenko, Lijun Chen, Karl R Clauser, Therese R Clauss, Punit Shah, Michael A Gillette, Vladislav A Petyuk, Stefani N Thomas, DR Mani, Filip Mundt, Ronald J Moore, Yingwei Hu, Rui Zhao, Michael Schnaubelt, Hasmik Keshishian, Matthew E Monroe, Zhen Zhang, Namrata D Udeshi, Deepak Mani, Sherri R Davies, R Reid Townsend, Daniel W Chan, Richard D Smith, Hui Zhang, Tao Liu, Steven A Carr
Publication date
2018/7
Journal
Nature protocols
Volume
13
Issue
7
Pages
1632-1661
Publisher
Nature Publishing Group
Description
Here we present an optimized workflow for global proteome and phosphoproteome analysis of tissues or cell lines that uses isobaric tags (TMT (tandem mass tags)-10) for multiplexed analysis and relative quantification, and provides 3× higher throughput than iTRAQ (isobaric tags for absolute and relative quantification)-4-based methods with high intra- and inter-laboratory reproducibility. The workflow was systematically characterized and benchmarked across three independent laboratories using two distinct breast cancer subtypes from patient-derived xenograft models to enable assessment of proteome and phosphoproteome depth and quantitative reproducibility. Each plex consisted of ten samples, each being 300 μg of peptide derived from <50 mg of wet-weight tissue. Of the 10,000 proteins quantified per sample, we could distinguish 7,700 human proteins derived from tumor cells and 3100 mouse proteins …
Total citations
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