Shotgun MS Research Articles

Superoxide-responsive quinone methide precursors (QMP-SOs) to study superoxide biology by proximity labeling and chemoproteomics.

Superoxide is a reactive oxygen species (ROS) with complex roles in biological systems. It can contribute to the development of serious diseases, from aging to cancers and neurodegenerative disorders. However, it can also serve as a signaling molecule for important life processes. Monitoring superoxide levels and identifying proteins regulated by superoxide are crucial to enhancing our understanding of this growing field of redox biology and signaling. Given the high reactivity and very short lifetime of superoxide compared to other ROS in biological systems, proteins redox-modified by superoxide should be in close proximity to where superoxide is generated endogenously, i.e. superoxide hotspots. This inspires us to develop superoxide-specific quinone methide-based precursors, QMP-SOs, for proximity labeling of proteins within/near superoxide hotspots to image superoxide and profile proteins associated with superoxide biology by chemoproteomics. QMP-SOs specifically react with superoxide to generate an electrophilic quinone methide intermediate, which subsequently reacts with nucleophilic amino acids to induce a covalent tag on proteins, as revealed by liquid chromatography-mass spectrometry (LC-MS) and shotgun MS experiments. The alkyne handle on the covalent tag enables installation of fluorophores onto the tagged proteins for fluorescence imaging of superoxide in cells under oxidative stress. By establishing a chemoproteomics platform, QMP-SO-TMT, we identify DJ-1 and DLDH as proteins associated with superoxide biology in liver cancer cells treated with menadione. This work should provide insights into the crosstalk between essential cellular events and superoxide redox biology, as well as the design principles of quinone methide-based probes to study redox biology through proximity labeling and chemoproteomics.

A phospho-dawn of protein modification anticipates light onset in the picoeukaryote Ostreococcus tauri.

Diel regulation of protein levels and protein modification had been less studied than transcript rhythms. Here, we compare transcriptome data under light-dark cycles with partial proteome and phosphoproteome data, assayed using shotgun MS, from the alga Ostreococcus tauri, the smallest free-living eukaryote. A total of 10% of quantified proteins but two-thirds of phosphoproteins were rhythmic. Mathematical modelling showed that light-stimulated protein synthesis can account for the observed clustering of protein peaks in the daytime. Prompted by night-peaking and apparently dark-stable proteins, we also tested cultures under prolonged darkness, where the proteome changed less than under the diel cycle. Among the dark-stable proteins were prasinophyte-specific sequences that were also reported to accumulate when O. tauri formed lipid droplets. In the phosphoproteome, 39% of rhythmic phospho-sites reached peak levels just before dawn. This anticipatory phosphorylation suggests that a clock-regulated phospho-dawn prepares green cells for daytime functions. Acid-directed and proline-directed protein phosphorylation sites were regulated in antiphase, implicating the clock-related casein kinases 1 and 2 in phase-specific regulation, alternating with the CMGC protein kinase family. Understanding the dynamic phosphoprotein network should be facilitated by the minimal kinome and proteome of O. tauri. The data are available from ProteomeXchange, with identifiers PXD001734, PXD001735, and PXD002909.

Manipulation of Ion Types via Gas-Phase Ion/Ion Chemistry for the Structural Characterization of the Glycan Moiety on Gangliosides.

Gangliosides are the most abundant glycolipid among eukaryotic cell membranes and consist of a glycan head moiety containing one or more sialic acids and a ceramide chain. The analysis of the glycan moieties among different subclass gangliosides, including GM, GD, and GT gangliosides, remains a challenge for shotgun lipidomics. Here, we present a novel shotgun lipidomics approach employing gas-phase ion/ion chemistry. The gas-phase derivatization strategy provides a rapid way to manipulate the ion-types of the precursor ions, and, in conjunction with collision induced dissociation (CID), allows for the elucidation of the structures of the glycan moieties from gangliosides. In addition to the enhancement of structural characterization, gas-phase ion chemistry leads to a form of purification of the precursor ions prior to CID by neutralizing isobaric or isomeric ions with different charge states but with similar or identical m/z values. To demonstrate the proposed strategy, both deprotonated GM3 and GM1 gangliosides ([GM-H]-) were isolated and subjected to reaction with magnesium-Terpy complex cations ([Mg(Terpy)2]2+). The post-reaction product spectra show the elimination of possible contamination, illustrating the ability of charge-switching derivatization to purify the precursor ions. Isomeric differentiation between GD1a and GD1b was achieved by the sequential ion/ion reactions, with the CID of [GD1-H+Mg]+ showing diagnostic fragment ions from the isomers. Moreover, isomeric identification among GT1a, GT1b, and GT1c was accomplished while performing a gas-phase magnesium transfer reaction and CID. Lastly, the presented workflow was applied to ganglioside profiling in a porcine brain extract. In total, 34 gangliosides were profiled among only 20 precursor ion m/z values by resolving isomers. Furthermore, the fucosylation site on GM1 and GD1, and N-glycolylneuraminic acid conjugated GT1 isomers was identified. Relative quantification of isomeric two isomeric pairs, GD1a/b C36:1 and GD1a/b C38:1 was also achieved using pure component product ion spectra coupled with a total least-squares method. The results demonstrate the applicability and strength of using shotgun MS coupled with gas-phase ion/ion chemistry to characterize the glycan moiety structures on different subclasses of gangliosides.

Protein biomarker elucidation for the verification of biological agents in the taxonomic group of Gammaproteobacteria using tandem mass spectrometry.

Some pathogenic microbes can be used for nefarious applications and instigate population-based fear. In a bio-threat scenario, rapid and accurate methods to detect biological agents in a wide range of complex environmental and clinical matrices, is of paramount importance for the implementation of mitigation protocols and medical countermeasures. This study describes targeted and shot-gun tandem MS based approaches for the verification of biological agents from the environmental samples. The marker proteins and peptides were elucidated by an exhaustive literature mining, in silico analysis of prioritized proteins, and MS/MS analysis of abundant proteins from selected bacterial species. For the shot-gun methodology, tandem MS analysis of abundant peptides was carried from spiked samples. The validation experiments employing a combination of shot-gun tandem MS analysis and a targeted search reported here is a proof of concept to show the applicability of the methodology for the unambiguous verification of biological agents at sub-species level, even with limited fractionation of crude protein extracts from environmental samples.

ITRAQ-based proteomic analysis reveals potential serum biomarkers of allergic and nonallergic asthma.

Asthma is heterogeneous disease with different phenotypes, endotypes and severities. Definition of these subgroups requires the identification of biomarkers in biological samples, and serum proteomics is a useful and minimally invasive method for this purpose. Therefore, the aim of this study was to detect serum proteins whose abundance is distinctively associated with different asthma phenotypes (allergic vs nonallergic) or severities. For each group of donors (32 healthy controls, 43 allergic rhinitis patients and 192 asthmatics with different phenotypes and severities), we generated two pools of sera that were analysed by a shotgun MS approach based on combinatorial peptide ligand libraries and iTRAQ-LC-MS/MS. MS analyses identified 18 proteins with a differential abundance. Functional/network study of these proteins identified key processes for asthma pathogenesis, such as complement activation, extracellular matrix organization, platelet activation and degranulation, or post-translational protein phosphorylation. Furthermore, our results highlighted an enrichment of the "Regulation of Insulin-like Growth Factor (IGF) transport and uptake by Insulin-like Growth Factor Binding Proteins (IGFBPs)" route in allergic asthma and the lectin pathway of complement activation in nonallergic asthma. Thus, several proteins (eg IGFALS, HSPG2, FCN2 or MASP1) displayed a differential abundance between the different groups of donors. Particularly, our results revealed IGFALS as a useful biomarker for moderate-severe allergic asthma. Our data suggest a set of serum biomarkers, especially IGFALS, capable of differentiating allergic from nonallergic asthma. These proteins reveal different pathophysiological mechanisms and may be useful in the future for diagnosis, prognosis or targeted therapy purposes.

Enzymatic Process Yielding a Diversity of Inulin-Type Microbial Fructooligosaccharides.

The specificity of fructooligosaccharides as prebiotics depends on their size and structure, which in turn depend on their origin or the synthesis procedure. In this work we describe the application of an inulosucrase (IslA) from Leuconostoc citreum CW28 to produce high molecular weight inulin from sucrose alongside a commercial endoinulinase (Novozym 960) produced by Aspergillus niger for a simultaneous or sequential reaction to synthesize fructooligosaccharides (FOS). The simultaneous reaction resulted in a higher substrate conversion and a wide diversity of FOS when compared to the sequential reaction. A shotgun MS analysis of the commercial endoinulinase preparation surprisingly revealed an additional enzymatic activity: a fructosyltransferase, responsible for the synthesis of FOS from sucrose. Consequentially, the range of FOS obtained in reactions combining inulosucrase from Ln. citreum with the fructosyltransferase and endoinulinase from A. niger with sucrose as substrate may be extended and regulated.

Finding and using diagnostic ions in collision induced crosslinked peptide fragmentation spectra

Crosslinking mass spectrometry (XL-MS) has emerged as a powerful tool in its own right for the investigation of protein structures and interactions. Utilizing standard shotgun MS mass spectrometry equipment and specialized database search software, crosslinked peptide-pairs can be identified and directly translated into distance constraints for protein structure and protein-protein interaction investigations. Whereas the gas-phase dissociation behavior of linear peptides is well understood, less is however known about the gas-phase dissociation behavior of crosslinked peptides. In this work, we set out to expose the behavior of commonly used non-cleavable and gas-phase cleavable crosslinking reagents using synthetic peptides to establish mechanistic insights. We describe that crosslinked peptide pairs generate specific fragmentation patterns and diagnostic ions under HCD and CID fragmentation conditions, distinct from mono-linked peptide and non-modified peptides. We discuss in detail the resulting diagnostic ions that can help distinguishing linear peptides from mono-linked and crosslinked peptide pairs and how that may be used to further increase the efficiency of XL-MS analysis.

P-40 - Analysis of extracellular matrix protein chlorination and oxidation by mass spectrometry

The innate immune system is a major contributor to oxidant generation. Leukocyte activation results in O2•-and H2O2 formation, and myeloperoxidase (MPO) release. MPO uses H2O and Cl- to generate the powerful oxidant HOCl. This mediates pathogen killing, but misplaced generation is linked with extracellular matrix damage (via MPO binding) and human diseases. Chlorination of Tyr residues gives 3-chloroTyr, a specific biomarker of MPO damage, but this is challenging to detect due to its low yield. In this study, a new optimised protocol has been developed to detect and quantify modifications. Systematic evaluation of previous protocols has identified factors that limit detection. Alternative methods allow the detection of a large number of modified residues induced by pathologically-relevant HOCl levels. High sequence coverage and reproducibility can be achieved for large, disulfide-rich proteins without reduction and alkylation. Using label-free quantification at a peptide level, in shotgun MS of single proteins, chlorination can be detected down to a relative site occupancy of ~0.15%. This method is effective for complex samples, and minimizes artefactual oxidation, facilitating quantification of modifications to readily-oxidized residues such as Met, His, Cys, and Trp.

Lipidomic approach for stratification of acute myeloid leukemia patients

The pathogenesis and progression of many tumors, including hematologic malignancies is highly dependent on enhanced lipogenesis. De novo fatty-acid synthesis permits accelerated proliferation of tumor cells by providing membrane components but these may also alter physicochemical properties of lipid bilayers, which can impact signaling or even increase drug resistance in cancer cells. Cancer type-specific lipid profiles would permit us to monitor and interpret actual effects of lipid changes, potential fingerprints of individual tumors to be explored as diagnostic markers. We have used the shotgun MS approach to identify lipid patterns in different types of acute myeloid leukemia (AML) patients that either show no karyotype change or belong to t(8;21) or inv16 types. Differences in lipidomes of t(8;21) and inv(16) patients, as compared to AML patients without karyotype change, presented mostly as substantial modulation of ceramide/sphingolipid synthesis. Furthermore, between the t(8;21) and all other patients we observed significant changes in physicochemical membrane properties. These were related to a marked alteration in lipid saturation levels. The discovered differences in lipid profiles of various AML types improve our understanding of the pathobiochemical pathways involved and may serve in the development of diagnostic tools.

The development of SRM assays is transforming proteomics research.

Bottom-up targeted proteomics using SRM is a powerful analytical technology, but it requires the development of SRM assays, which is a complex procedure. Whereas proteome-wide SRM assays have recently been developed for a small number of species, this is not so for the mouse. In this issue, Percy etal. report the development of hundreds of mouse SRM assays. Their development required shotgun MS to identify proteotypic peptides, synthesis, and LC-MS characterization of peptide standards, and interlaboratory SRM to robustly assess the quality of the assays. The resulting SRM assays are intended to be used to analyze mouse plasma and cardiac tissue, primarily for cardiovascular disease and cancer research.

Plant responses to tomato chlorotic mottle virus: Proteomic view of the resistance mechanisms to a bipartite begomovirus in tomato

Tomato chlorotic mottle virus (ToCMoV) is a widespread bipartite Begomovirus species found in tomato fields in Brazil. In this study, plant responses and putative mechanisms associated with the ‘Tyking’-derived recessive resistance to ToCMoV were investigated. Changes in the protein profile in the inoculated plants of two near isogenic tomato lines resistant (‘LAM 157’) and susceptible (‘Santa Clara’) to ToCMoV were analyzed. Seedlings were biolistically inoculated with an infectious ToCMoV clone. Leaves from infected plants (confirmed by PCR) were sampled at 15days after inoculation. Proteins were extracted using phenol and analyzed by shotgun MS (2D-nanoUPLC/HDMSE). Out of the 534 identified proteins, 82 presented statistically significant differences in abundance, including 35 unique proteins displayed in the resistant tomato inoculated with ToCMoV. Proteins associated to chromatin structure, cytoskeleton structure, cuticle biosynthesis, and ubiquitin pathway were identified and their putative roles during virus infection process were discussed. The protein profile analysis allowed for the development of a hypothetical model showing how the resistant host cell responds to ToCMoV infection. The data obtained provide a better understanding of resistant mechanisms used by the host plant to contain viral infection and could be the basis for further investigation in other plant-begomovirus pathosystems. Biological significanceIn this study we propose a model of resistance to begomovirus in tomato and highlight host proteins, which could be targets for future investigations in plant-begomovirus pathosystems.

Proteomic Analysis of Silkworm Antennae.

The silkworm Bombyx mori is an oligophagous insect that feeds mainly on mulberry leaves. The olfactory system of silkworm is a good model to study olfaction in Lepidoptera. Here, we carried out shotgun proteomic analysis and MS sequencing of the silkmoth antennae. A total of 364 proteins were detected, 77 were female specific, 143 were male specific, and 144 were expressed in both male and female antennae. Five odorant-binding proteins, two chemosensory proteins, and one olfactory receptor were identified. They may play a major role in the perception of odorants. An esterase and an aldehyde dehydrogenase were found only in male antennae. Glutathione S-transferases (GSTs) and cytochrome P450s, also found in silkworm antennae, may be involved in the degradation of xenobiotics. Additionally, antioxidation proteins and immunity proteins were identified. Juvenile hormone binding proteins (JHBP), juvenile hormone resistance protein II, and juvenile hormone episode hydrolase (JHEH) were found in the proteomic analysis, which suggests that the antennae are a target for juvenile hormone in the silkworm. Our results provide insight into the expression of proteins in the antennae of silkworm and will facilitate the future functional analysis of silkworm antennae.

Quantitative proteogenomics of human pathogens using DIA-MS

The increasing number of bacterial genomes in combination with reproducible quantitative proteome measurements provides new opportunities to explore how genetic differences modulate proteome composition and virulence. It is challenging to combine genome and proteome data as the underlying genome influences the proteome. We present a strategy to facilitate the integration of genome data from several genetically similar bacterial strains with data-independent analysis mass spectrometry (DIA-MS) for rapid interrogation of the combined data sets. The strategy relies on the construction of a composite genome combining all genetic data in a compact format, which can accommodate the fusion with quantitative peptide and protein information determined via DIA-MS. We demonstrate the method by combining data sets from whole genome sequencing, shotgun MS and DIA-MS from 34 clinical isolates of Streptococcus pyogenes. The data structure allows for fast exploration of the data showing that undetected proteins are on average more amenable to amino acid substitution than expressed proteins. We identified several significantly differentially expressed proteins between invasive and non-invasive strains. The work underlines how integration of whole genome sequencing with accurately quantified proteomes can further advance the interpretation of the relationship between genomes, proteomes and virulence. This article is part of a Special Issue entitled: Computational Proteomics.

High-Throughput and Comprehensive Lipidomic Analysis Using Ultrahigh-Performance Supercritical Fluid Chromatography-Mass Spectrometry.

New analytical approach for high-throughput and comprehensive lipidomic analysis of biological samples using ultrahigh-performance supercritical fluid chromatography (UHPSFC) with electrospray ionization-mass spectrometry (ESI-MS) is presented in this work as an alternative approach to established shotgun MS or high-performance liquid chromatography-MS. The lipid class separation is performed by UHPSFC method based on 1.7 μm particle-bridged ethylene hybrid silica column with a gradient of methanol-water-ammonium acetate mixture as a modifier. All parameters of UHPSFC conditions are carefully optimized and their influence on the chromatographic behavior of lipids is discussed. The final UHPSFC/ESI-MS method enables a fast separation of 30 nonpolar and polar lipid classes within 6 min analysis covering 6 main lipid categories including fatty acyls, glycerolipids, glycerophospholipids, sphingolipids, sterols, and prenols. Individual lipid species within lipid classes are identified based on positive and negative-ion full-scan and tandem mass spectra measured with high mass accuracy and high resolving power. Developed UHPSFC/ESI-MS method is applied for the analysis of porcine brain extract as a complex lipidomic sample, where 24 lipid classes containing 436 lipid species are identified. The method is validated for the quantitative analysis of lipid species in biological tissues using internal standards for each lipid class. This high-throughput, comprehensive and accurate UHPSFC/ESI-MS method is suitable for the lipidomic analysis of large sample sets in the clinical research.

Proteomics analysis of digestive juice from silkworm during Bombyx mori nucleopolyhedrovirus infection.

Previous studies have analyzed the midgut transcriptome and proteome after challenge with Bombyx mori nucleopolyhedrovirus (BmNPV), however little information is available on the digestive juice proteome after BmNPV challenge. This study investigated BmNPV infection-induced protein changes in the digestive juice of silkworms using shotgun proteomics and MS sequencing. From the digestive juice of normal third-day, fifth-instar silkworm larvae, 75 proteins were identified, 44 of which were unknown; from larvae 6 h after inoculation with BmNPV, 106 proteins were identified, of which 39 were unknown. After BmNPV challenge, more secreted proteins appeared that had antiviral and digestive features. GO annotation analysis clustered most proteins in the lumen into catalytic, binding, and metabolic processes. Numerous proteins were reported to have BmNPV interactions. Hsp70 protein cognate, lipase-1, and chlorophyllide A-binding protein precursor were upregulated significantly after BmNPV challenge. Levels of trypsin-like serine protease, beta-1,3-glucanase, catalase, and serine protease transcripts decreased or were not significantly change after BmNPV challenge. Taken together, these findings provided insights into the interaction between host and BmNPV and revealed potential functions of digestive juice after per os BmNPV infection.

Shotgun MS proteomic analysis of bronchoalveolar lavage fluid in normal subjects

We provide a review of proteomic techniques used to characterize the bronchoalveolar lavage fluid (BALF) proteome of normal healthy subjects. Bronchoalveolar lavage (BAL) is the most common technique for sampling the components of the alveolar space. The proteomic techniques used to study normal BALF include protein separation by 2DE, whereby proteins were identified by comparison to a reference gel as well as high pressure liquid chromatography (HPLC)-MS/MS, also known as shotgun proteomics. We summarize recent progress using shotgun MS technologies to define the normal BALF proteome. Surprisingly, we find that despite advances in shotgun proteomic technologies over the course of the last 10 years, which have resulted in greater numbers of proteins being identified, the functional landscape of normal BALF proteome was similarly described by all methods examined.

Absolute quantification of the Kdp subunits of Escherichia coli by multiple reaction monitoring.

The sensor kinase/response regulator system KdpD/KdpE of Escherichia coli regulates the expression of the kdpFABC operon, encoding the high-affinity KdpFABC potassium (K(+) )-transport complex. Additionally, it has been suggested that the kdpDE operon itself is subjected to autoregulation by its gene products KdpD and KdpE. However, since kdpFABC and kdpDE expression has mainly been studied on the transcriptional level, accurate information on absolute amounts and the stoichiometric subunit composition of KdpFABC and KdpD/KdpE under K(+) -limiting and K(+) -nonlimiting growth conditions are lacking. In this study, we used highly sensitive mass spectrometric methods to quantify the amount of subunits of the Kdp(F)ABC complex and KdpD/KdpE. Data-dependent shotgun MS was used to assess protein coverage and accessible peptides. Absolute amounts of Kdp(F)ABC and KdpD/KdpE were quantified by targeted MRM analysis in the presence of corresponding heavy labeled standard peptides. Baseline synthesis of Kdp(F)ABC and KdpD/KdpE was found to be in the attomolar range under K(+) -nonlimiting conditions. Under K(+) -limitation, synthesis of Kdp(F)ABC (KdpA:KdpB:KdpC ratio of 1:1:1) was amplified more than 100-fold, whereas only a tenfold amplification of KdpD/KdpE (KdpD:KdpE ratio of 1:4) was observed. The results obtained provide a solid basis for follow-up studies on the dynamic regulation of the Kdp system.

Alterations of protein composition along the rostro-caudal axis after spinal cord injury: proteomic, in vitro and in vivo analyses.

Based on proteomic analyses we investigated the differences of released molecules in the conditioned media (CM) from the spinal cord central lesion and adjacent rostral and caudal segments at 3, 7, and 10 days after spinal cord injury (SCI), in order to specify the molecular environment within greater extent of tissue damage. Proteins found in CM were analyzed by shot-gun MS using nanoLC coupled to an orbitrap. The results showed some specific proteins at each site of the lesion at 3days. Among the proteins from rostral and lesion segments, some are related to chemokines, cytokines or to neurogenesis factors. In contrast, proteins from caudal segments are more related to necrosis factors. The CM from each spinal segment were used in vitro, on microglial BV2 cell lines and DRGs explants, showing a lesion site-dependent impact on microglia activation and DRGs neurite outgrowth. In addition, while naive BV2 cells exhibited insignificant staining for CX3CR1 receptor, the level of CX3CR1 was strongly enhanced in some BV2 cells after their stimulation by CM collected from SCI. The molecular data might correlate with different polarization of activated microglia and macrophages along the rostro-caudal axis following acute injury. This was partially confirmed in vivo with CX3CR1 receptor, revealing higher expression in the rostral segment, with potential neuroprotective action. In addition, the neurotrophic factors released from rostral and lesion segments enhanced outgrowth of DRGs explants. Taken together these data suggest that regionalization in terms of inflammatory and neurotrophic responses may occur between rostral and caudal segments in acute SCI.

Proteomic profiles of human lung adeno and squamous cell carcinoma using super‐SILAC and label‐free quantification approaches

Nonsmall cell lung cancer (NSCLC) accounts for 85% of lung cancers, and is subdivided into two major histological subtypes: adenocarcinoma (ADC) and squamous cell carcinoma (SCC). There is an unmet need to further subdivide NSCLC according to distinctive molecular features that may be associated with responsiveness to therapies. Four primary tumor-derived xenograft proteomes (two-each ADC and SCC) were quantitatively compared by using a super-SILAC labeling approach together with ultrahigh-resolution MS. Proteins highly differentially expressed in the two subtypes were identified, including 30 that were validated in an independent cohort of 12 NSCLC primary tumor-derived xenograft tumors whose proteomes were quantified by an alternative, label-free shotgun MS methodology. The 30-protein signature contains metabolism enzymes including phosphoglycerate dehydrogenase, which is more highly expressed in SCC, as well as a comprehensive set of cytokeratins and other components of the epithelial barrier, which is therefore distinctly different between ADC and SCC. These results demonstrate the utility of the super-SILAC method for the characterization of primary tissues, and compatibility with datasets derived from different MS-based platforms. The validation of proteome signatures of NSCLC subtypes supports the further development and application of MS-based quantitative proteomics as a basis for precision classifications and treatments of tumors. All MS data have been deposited in the ProteomeXchange with identifier PXD000438 (http://proteomecentral.proteomexchange.org/dataset/PXD000438).

Large-Scale Mass Spectrometric Detection of Variant Peptides Resulting from Nonsynonymous Nucleotide Differences

Each individual carries thousands of nonsynonymous single nucleotide variants (nsSNVs) in their genome, each corresponding to a single amino acid polymorphism (SAP) in the encoded proteins. It is important to be able to directly detect and quantify these variations at the protein level to study post-transcriptional regulation, differential allelic expression, and other important biological processes. However, such variant peptides are not generally detected in standard proteomic analyses due to their absence from the generic databases that are employed for mass spectrometry searching. Here we extend previous work that demonstrated the use of customized SAP databases constructed from sample-matched RNA-Seq data. We collected deep-coverage RNA-Seq data from the Jurkat cell line, compiled the set of nsSNVs that are expressed, used this information to construct a customized SAP database, and searched it against deep-coverage shotgun MS data obtained from the same sample. This approach enabled the detection of 421 SAP peptides mapping to 395 nsSNVs. We compared these peptides to peptides identified from a large generic search database containing all known nsSNVs (dbSNP) and found that more than 70% of the SAP peptides from this dbSNP-derived search were not supported by the RNA-Seq data and thus are likely false positives. Next, we increased the SAP coverage from the RNA-Seq derived database by utilizing multiple protease digestions, thereby increasing variant detection to 695 SAP peptides mapping to 504 nsSNV sites. These detected SAP peptides corresponded to moderate to high abundance transcripts (30+ transcripts per million, TPM). The SAP peptides included 192 allelic pairs; the relative expression levels of the two alleles were evaluated for 51 of those pairs and were found to be comparable in all cases.