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We present the first detailed study of chromatographic behavior of peptides labeled with tandem mass tags (TMT and TMTpro) in 2D LC for proteomic applications. Carefully designed experimental procedures have permitted generating data sets of over 100,000 nonlabeled and TMT-labeled peptide pairs for the low pH RP in the second separation dimension and data sets of over 10,000 peptide pairs for high-pH RP, HILIC (amide and silica), and SCX separations in the first separation dimension. The average increase in peptide RPLC (0.1% formic acid) retention upon TMT labeling was found to be 3.3% acetonitrile (linear water/acetonitrile gradients), spanning a range of -4 to 10.3%. In addition to the bulk peptide properties such as length, hydrophobicity, and the number of labeled residues, we found several sequence-dependent features mostly associated with differences in N-terminal chemistry. The behavior of TMTpro-labeled peptides was found to be very similar except for a slightly higher hydrophobicity: an average retention shift of 3.7% acetonitrile. The respective versions of the sequence-specific retention calculator (SSRCalc) model have been developed to accommodate both TMT chemistries, showing identical prediction accuracy (

Triggered by Offset, Multiplexed, Accurate mass, High resolution, and Absolute Quantitation (TOMAHAQ) is a recently introduced targeted proteomics method that combines peptide and sample multiplexing. TOMAHAQ assays enable sensitive and accurate multiplexed quantification by implementing an intricate data collection scheme that comprises multiple MS(n) scans, mass inclusion lists, and data-driven filters. Consequently, manual creation of TOMAHAQ methods can be time-consuming and error prone, while the resulting TOMAHAQ data may not be compatible with common mass spectrometry analysis pipelines. To address these concerns we introduce TomahaqCompanion, an open-source desktop application that enables rapid creation of TOMAHAQ methods and analysis of TOMAHAQ data. Starting from a list of peptide sequences, a user can perform each step of TOMAHAQ assay development including (1) generation of priming run target list, (2) analysis of priming run data, (3) generation of TOMAHAQ method file, and (4) analysis and export of quantitative TOMAHAQ data. We demonstrate the flexibility of TomahaqCompanion by creating a variety of methods testing TOMAHAQ parameters (e.g., number of SPS notches, run length, etc.). Lastly, we analyze an interference sample comprising heavy yeast peptides, a standard human peptide mixture, TMT11-plex, and super heavy TMT (shTMT) isobaric labels to demonstrate ~10–200 attomol limit of quantification within a complex background using TOMAHAQ.

Comprehensive characterization of the N-glycome of a therapeutic is challenging because glycans may harbor numerous modifications (e.g., phosphorylation, sulfation, sialic acids with possible O-acetylation). The current report presents a comparison of two chromatographic platforms for the comprehensive characterization of a recombinant human erythropoietin (rhEPO) N-glycome. The two platforms include a common workflow based on 2-AB-derivatization and hydrophilic interaction chromatography (HILIC) and a native N-linked glycan workflow employing high performance anion exchange (HPAE) chromatography. Both platforms were coupled to an Orbitrap mass spectrometer, and data dependent HCD fragmentation allowed confident structural elucidation of the glycans. Each platform identified glycans not revealed by the other, and both exhibited strengths and weaknesses. The reductive amination based HILIC workflow provided better throughput and sensitivity, had good isomer resolution, and revealed the presence of O-acetylated sialic acids. However, it exhibited poor performance toward phosphorylated glycans and did not reveal the presence of sulfated glycans. Furthermore, reductive amination introduced dehydration artifacts and modified the glycosylation profile in the rhEPO glycome. Conversely, HPAE provided unbiased charge classification (sialylation levels), improved isomer resolution, and revealed multiple phosphorylated and sulfated structures, but delivered lower throughput, had artifact peaks due to epimer formation, and loss of sialic acid O-acetylation. The MS

Phosphorylation is an essential post-translational modification for regulating protein function and cellular signal transduction. Mass spectrometry (MS) combined with isobaric tandem mass tags (TMTs) has become a powerful platform for simultaneous, large-scale phospho-proteome site identification and quantitation. To improve the accuracy of isobaric tag-based quantitation in complex proteomic samples, MS3-based acquisition methods such as Synchronous Precursor Selection (SPS) have been used. However, the method suffers from lower peptide identification rates when applied to enriched phosphopeptide samples compared with unmodified samples due to differences in phosphopeptide fragmentation patterns during tandem MS. We developed and optimized two new acquisition methods for analysis of TMT-labeled multiplexed phosphoproteome samples, which resulted in more phosphopeptide identifications with less ratio distortion when compared with previous methods. We also applied these improved methods to a large-scale study of phosphorylation levels in A549 cell lines treated with insulin or insulin growth factor 1 (IGF-1). Overall, 3378 protein groups and 12 465 phosphopeptides were identified, of which 10 436 were quantified across 10 samples without prefractionation. The accurate measurement enabled us to map to numerous signaling pathways including mechanistic target of rapamycin (mTOR), epidermal growth factor receptor (EGFR, ErbB), and insulin signaling pathways.

Tandem mass tag (TMT)-based quantitation is a strong modality for quantitative proteomics, as samples can be multiplexed, creating large-scale data sets with high precision and minimal missing values. However, coisolation/cofragmentation of near isobaric, coeluting precursor peptide analytes has been well-documented to show ratio compression, compromising the accuracy of peptide/protein quantitation. Advanced peak determination (APD) is a new peak-picking algorithm that shows improved identification of peak detection in survey scans (MS1) to increase the number of precursors selected for unimolecular dissociation (MS2). To increase the number of these "features" selected for MS2 APD purposefully selects multiple peptide precursors of very similar m/ z that often derive from different proteins-a major source of ratio compression in TMT quantification. Here, we evaluate the effects of various data acquisition parameters combined with APD on ratio compression. We find that data acquisition with APD enabled results in more coisolated precursors, more mixed spectra, and in turn, fewer peptide spectral matches, especially at standard on-column loads. We conclude that APD should not be utilized for isobaric tagging, MS2-based experiments.

S-Nitrosylation is a redox-based protein post-translational modification in response to nitric oxide signaling and is involved in a wide range of biological processes. Detection and quantification of protein S-nitrosylation have been challenging tasks due to instability and low abundance of the modification. Many studies have used mass spectrometry (MS)-based methods with different thiol-reactive reagents to label and identify proteins with S-nitrosylated cysteine (SNO-Cys). In this study, we developed a novel iodoTMT switch assay (ISA) using an isobaric set of thiol-reactive iodoTMTsixplex reagents to specifically detect and quantify protein S-nitrosylation. Irreversible labeling of SNO-Cys with the iodoTMTsixplex reagents enables immune-affinity detection of S-nitrosylated proteins, enrichment of iodoTMT-labeled peptides by anti-TMT resin, and importantly, unambiguous modification site-mapping and multiplex quantification by liquid chromatography–tandem MS. Additionally, we significantly improved anti-TMT peptide enrichment efficiency by competitive elution. Using ISA, we identified a set of SNO-Cys sites responding to lipopolysaccharide (LPS) stimulation in murine BV-2 microglial cells and revealed effects of S-allyl cysteine from garlic on LPS-induced protein S-nitrosylation in antioxidative signaling and mitochondrial metabolic pathways. ISA proved to be an effective proteomic approach for quantitative analysis of S-nitrosylation in complex samples and will facilitate the elucidation of molecular mechanisms of nitrosative stress in disease.

Mass spectrometry-based studies of proteins that are post-translationally modified by O-linked β-N-acetylglucosamine (O-GlcNAc) are challenged in effectively identifying the sites of modification while simultaneously sequencing the peptides. Here we tested the hypothesis that a combination of high-energy C-trap dissociation (HCD) and electron transfer dissociation (ETD) could specifically target the O-GlcNAc modified peptides and elucidate the amino acid sequence while preserving the attached GlcNAc residue for accurate site assignment. By taking advantage of the recently characterized O-GlcNAc-specific IgG monoclonal antibodies and the combination of HCD and ETD fragmentation techniques, O-GlcNAc modified proteins were enriched from HEK293T cells and subsequently characterized using the LTQ Orbitrap Velos™ ETD (Thermo Fisher Scientific) mass spectrometer. In our dataset, 83 sites of O-GlcNAc modification are reported with high confidence confirming that the HCD/ETD combined approach is amenable to the detection and site assignment of O-GlcNAc modified peptides. Realizing HCD triggered ETD fragmentation on a linear ion trap/Orbitrap platform for more in-depth analysis and application of this technique to other post-translationally modified proteins are currently underway. Furthermore, this report illustrates that the O-GlcNAc transferase appears to demonstrate promiscuity with regards to the hydroxyl-containing amino acid modified in short stretches of primary sequence of the glycosylated polypeptides.

The lobster Homarus americanus has long served as an important animal model for electrophysiological and behavioral studies. Using this model, we performed a comprehensive investigation of the neuropeptide expression and their localization in the nervous system, which provides useful insights for further understanding of their biological functions. Using nanoLC ESI Q-TOF MS/MS and three types of MALDI instruments, we analyzed the neuropeptide complements in a major neuroendocrine structure, pericardial organ. A total of 57 putative neuropeptides were identified and 18 of them were de novo sequenced. Using direct tissue/extract analysis and bioinformatics software SpecPlot, we charted the global distribution of neuropeptides throughout the nervous system in H. americanus. Furthermore, we also mapped the localization of several neuropeptide families in the brain by high mass resolution and high mass accuracy mass spectrometric imaging (MSI) using a MALDI LTQ Orbitrap mass spectrometer. We have also compared the utility and instrument performance of multiple mass spectrometers for neuropeptide analysis in terms of peptidome coverage, sensitivity, mass spectral resolution and capability for de novo sequencing.