Literature DB >> 28634120

Highly reproducible improved label-free quantitative analysis of cellular phosphoproteome by optimization of LC-MS/MS gradient and analytical column construction.

Nagib Ahsan1, Judson Belmont2, Zhuo Chen3, James G Clifton4, Arthur R Salomon5.   

Abstract

Expanding the sequencing depth of the peptides with a statistically significant quantitative change derived from a biological stimulation is critical. Here we demonstrate that optimization of LC gradient and analytical column construction can reveal over 30,000 unique peptides and 23,000 phosphopeptides at high confidence. The quantitative reproducibility of different analytical workflows was evaluated by comparing the phosphoproteome of CD3/4 stimulated and unstimulated T-cells as a model system. A fritless, 50cm-long column packed with 1.9μm particles operated with a standard pressure HPLC significantly improved the sequencing depth 51% and decreased the selected ion chromatogram peak spreading. Most importantly, under the optimal workflow we observed an improvement of over 300% in detection of significantly changed phosphopeptides in the stimulated cells compared with the other workflows. The discovery power of the optimized column configuration was illustrated by identification of significantly altered phosphopeptides harboring novel sites from proteins previously established as important in T cell signaling including A-Raf, B-Raf, c-Myc, CARMA1, Fyn, ITK, LAT, NFAT1/2/3, PKCα, PLCγ1/2, RAF1, and SOS1. Taken together, our results reveal the analytical power of optimized chromatography using sub 2μm particles for the analysis of the T cell phosphoproteome to reveal a vast landscape of significantly altered phosphorylation changes in response to T cell receptor stimulation.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  LC-MS/MS; Label free quantification; Quantitative phosphoproteomics; Sub 2μm C18 particles; T cell signaling

Mesh:

Substances:

Year:  2017        PMID: 28634120      PMCID: PMC5542054          DOI: 10.1016/j.jprot.2017.06.013

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  48 in total

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