Software Analysis of Uncorrelated MS1 Peaks for Discovery of Post-Translational Modifications.

The goal in proteomics to identify all peptides in a complex mixture has been largely addressed using various LC MS/MS approaches, such as data dependent acquisition, SRM/MRM, and data independent acquisition instrumentation. Despite these developments, many peptides remain unsequenced, often due to low abundance, poor fragmentation patterns, or data analysis difficulties. Many of the unidentified peptides exhibit strong evidence in high resolution MS(1) data and are frequently post-translationally modified, playing a significant role in biological processes. Proteomics Workbench (PWB) software was developed to automate the detection and visualization of all possible peptides in MS(1) data, reveal candidate peptides not initially identified, and build inclusion lists for subsequent MS(2) analysis to uncover new identifications. We used this software on existing data on the autophagy regulating kinase Ulk1 as a proof of concept for this method, as we had already manually identified a number of phosphorylation sites Dorsey, F. C. et al (J. Proteome. Res. 8(11), 5253-5263 (2009)). PWB found all previously identified sites of phosphorylation. The software has been made freely available at http://www.proteomicsworkbench.com . Graphical Abstract ᅟ.

Mass spectrometry approach and ELISA reveal the effect of codon optimization on N-linked glycosylation of HIV-1 gp120.

The genes encoding many viral proteins such as HIV-1 envelope glycoprotein gp120 have a tendency for codons that are poorly used by the human genome. Why these codons are frequently present in the HIV genome is not known. The presence of these codons limits expression of HIV-1 gp120 for biochemical studies. The poor codons are replaced by synonymous codons that are frequently present in the highly expressed human genes to overexpress this protein. Whether this codon optimization affects functional properties of gp120 such as its N-linked glycosylation is unknown. We applied a bottom-up mass-spectrometry-based workflow for the direct measurement of deglycosylated and unglycosylated peptides with putative N-linked glycosylation sites, that is, NxS/T motifs. Using this mass-spectrometry approach in combination with ELISA, it is found that codon optimization significantly reduces the frequency with which the dolichol pyrophosphate-linked oligosaccharide is added by the catalytic subunits of oligosaccharide transferase complex to the glycosylation sites. This reduction affects binding of glycan-dependent broadly neutralizing antibodies. These data are essential for biochemical studies of gp120 and successful development of a vaccine against HIV-1. Furthermore, they demonstrate a mass-spectrometry approach for studying the site-specific N-linked glycosylation efficiency of glycoproteins.