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Genome-scale Proteome Quantification by DEEP SEQ Mass Spectrometry

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2013

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Zhou, Feng, Yu Lu, Scott B. Ficarro, Guillaume Adelmant, Wenyu Jiang, C. John Luckey, and Jarrod A. Marto. 2013. “Genome-scale Proteome Quantification by DEEP SEQ Mass Spectrometry.” Nature communications 4 (1): 2171. doi:10.1038/ncomms3171. http://dx.doi.org/10.1038/ncomms3171.

Abstract

Advances in chemistry and massively parallel detection underlie DNA sequencing platforms that are poised for application in personalized medicine. In stark contrast, systematic generation of protein-level data lags well-behind genomics in virtually every aspect: depth of coverage, throughput, ease of sample preparation, and experimental time. Here, to bridge this gap, we develop an approach based on simple detergent lysis and single-enzyme digest, extreme, orthogonal separation of peptides, and true nanoflow LC-MS/MS that provides high peak capacity and ionization efficiency. This automated, deep efficient peptide sequencing and quantification (DEEP SEQ) mass spectrometry platform provides genome-scale proteome coverage equivalent to RNA-seq ribosomal profiling and accurate quantification for multiplexed isotope labels. In a model of the embryonic to epiblast transition in murine stem cells, we unambiguously quantify 11,352 gene products that span 70% of Swiss-Prot and capture protein regulation across the full detectable range of high-throughput gene expression and protein translation.

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Quantitative proteomics, mass spectrometry, LC-MS, MS/MS, gene expression, microarray, protein translation, ribosomal profiling, pluripotency, embryonic stem cells

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