Orchestration of myeloid-derived suppressor cells in the tumor microenvironment by ubiquitous cellular protein TCTP released by tumor cells.

One of most challenging issues in tumor immunology is a better understanding of the dynamics in the accumulation of myeloid-derived suppressor cells (MDSCs) in the tumor microenvironment (TIME), as this would lead to the development of new cancer therapeutics. Here, we show that translationally controlled tumor protein (TCTP) released by dying tumor cells is an immunomodulator crucial to full-blown MDSC accumulation in the TIME. We provide evidence that extracellular TCTP mediates recruitment of the polymorphonuclear MDSC (PMN-MDSC) population in the TIME via activation of Toll-like receptor-2. As further proof of principle, we show that inhibition of TCTP suppresses PMN-MDSC accumulation and tumor growth. In human cancers, we find an elevation of TCTP and an inverse correlation of TCTP gene dosage with antitumor immune signatures and clinical prognosis. This study reveals the hitherto poorly understood mechanism of the MDSC dynamics in the TIME, offering a new rationale for cancer immunotherapy.

A Targeted Mass Spectrometry Strategy for Developing Proteomic Biomarkers: A Case Study of Epithelial Ovarian Cancer.

Protein biomarkers for epithelial ovarian cancer are critical for the early detection of the cancer to improve patient prognosis and for the clinical management of the disease to monitor treatment response and to detect recurrences. Unfortunately, the discovery of protein biomarkers is hampered by the limited availability of reliable and sensitive assays needed for the reproducible quantification of proteins in complex biological matrices such as blood plasma. In recent years, targeted mass spectrometry, exemplified by selected reaction monitoring (SRM) has emerged as a method, capable of overcoming this limitation. Here, we present a comprehensive SRM-based strategy for developing plasma-based protein biomarkers for epithelial ovarian cancer and illustrate how the SRM platform, when combined with rigorous experimental design and statistical analysis, can result in detection of predictive analytes.Our biomarker development strategy first involved a discovery-driven proteomic effort to derive potential N-glycoprotein biomarker candidates for plasma-based detection of human ovarian cancer from a genetically engineered mouse model of endometrioid ovarian cancer, which accurately recapitulates the human disease. Next, 65 candidate markers selected from proteins of different abundance in the discovery dataset were reproducibly quantified with SRM assays across a large cohort of over 200 plasma samples from ovarian cancer patients and healthy controls. Finally, these measurements were used to derive a 5-protein signature for distinguishing individuals with epithelial ovarian cancer from healthy controls. The sensitivity of the candidate biomarker signature in combination with CA125 ELISA-based measurements currently used in clinic, exceeded that of CA125 ELISA-based measurements alone. The SRM-based strategy in this study is broadly applicable. It can be used in any study that requires accurate and reproducible quantification of selected proteins in a high-throughput and multiplexed fashion.

Effect of mite allergenic components on innate immune response: Synergy of protease (Group 1 & 3) and non-protease (Group 2 & 7) allergens.

The major mite allergenic components of protease allergens (group 1,3) and non-protease allergens (group 2,7) derived from Dermatophagoides peronyssinus (Dp) and D. farinae (Df) are reported to be capable of sensitizing 80-90% of mite-allergic patients. Although protease and non-protease allergens have been demonstrated to trigger innate and adaptive immune responses through epithelium activation, the simultaneous or sequential effects of both groups of allergens has not been reported. Since all allergens are present in the mite crude extracts, it is important to determine whether these allergens can synergistically trigger the immune responses to cause airway inflammation. A total of 60 house dust mite (HDM)-allergic asthmatic patients were recruited to analyze their serum-specific IgE response to both groups of allergens. Recombinant protease allergen (Der p1 and Der p3) and non-protease allergens (Der p2 and Der p7) were used to activate the human airway epithelium cell (Beas-2B). The cells were analyzed for mRNA expression of IL-6/IL-8 and the culture supernatants were analyzed for neutrophil chemotactic activity (NCA). The results showed 48/60 (80%) HDM-allergic patients were sensitized to all allergenic components of Der p1, Der p2, Der f1, and Der f2. Most of the allergic patients were sensitized to both groups of allergens simultaneously. The associations of Der p1 with Der p2 were 83.3% (50/60) and Der f1 with Der f2 were 80% (48/60). When Beas-2B cells were cultured with Der p2 in conjunction with Der p1 and Der p3, the results showed that there was increased expression of IL-6/IL-8 in comparison with culture with allergen alone. There was only a trivial effect on IL-6/IL-8 expression when Der p2 was co-cultured with Der p7. Similar findings were obtained in the NCA measurement. When Beas-2B was cultured with Der p2 in conjunction with Der p1 and Der p3, there was increased NCA in comparison with culture with allergen alone. There were also trivial effects when Der p2 was co-cultured with Der p7. The allergens (Der p2 and Der p3)-induced IL-6/IL-8 expression and NCA released from Beas-2B could be downregulated by dexamethasone and transcription factor inhibitor SP600125. The allergenic components derived from Dp and Df can sensitize allergic patients simultaneously and activate epithelium through protease allergens (group 1, 3) and non-protease allergen (group 2) synergistically.

Prediction of colorectal cancer diagnosis based on circulating plasma proteins.

Non-invasive detection of colorectal cancer with blood-based markers is a critical clinical need. Here we describe a phased mass spectrometry-based approach for the discovery, screening, and validation of circulating protein biomarkers with diagnostic value. Initially, we profiled human primary tumor tissue epithelia and characterized about 300 secreted and cell surface candidate glycoproteins. These candidates were then screened in patient systemic circulation to identify detectable candidates in blood plasma. An 88-plex targeting method was established to systematically monitor these proteins in two large and independent cohorts of plasma samples, which generated quantitative clinical datasets at an unprecedented scale. The data were deployed to develop and evaluate a five-protein biomarker signature for colorectal cancer detection.

Enhanced Allergic Inflammation of Der p 2 Affected by Polymorphisms of MD-2 Promoter.

PURPOSE: Myeloid differentiation-2 (MD-2) has been associated with endotoxin and inflammatory disorders because it can recognize lipopolysaccharide (LPS) binding and attenuate Toll-like receptor 4 (TLR4)-mediated signaling. However, its role in allergic inflammation has yet to be clarified. We examined whether single nucleotide polymorphisms (SNPs) in MD-2 promoter can affect MD-2 expression and aimed to clarify the relationship between Der p 2 allergy and SNPs of MD-2 promoter. METHODS: The function of SNPs of MD-2 promoter and the effects of cytokines and immunoglobulin on the secretion and mRNA expression were investigated in 73 allergic subjects with different MD-2 gene promoter variants. Peripheral blood mononuclear cells were cultured with or without LPS in the presence of Dermatophagoides pteronyssinus group 2 allergen (Der p 2), followed by mRNA extraction and cytokine expression analysis. The culture supernatants were collected for cytokine measurement. RESULTS: Patients with the MD-2 promoter SNPs (rs1809441/rs1809442) had increased mRNA expressions of MD-2, ε heavy chain of IgE (Cε), and interleukin (IL)-8; however, only MD-2 and IL-8 were further up-regulated after Der p 2 stimulation. Patients with SNPs of MD-2 promoter tended to have high levels of IL-1ß, IL-6, IL-8, IL-10, and tumor necrosis factor (TNF)-α after Der p 2 and LPS stimulation. Increased secretions of IL-6, IL-8, and IL-10 were found to be up-regulated by Der p 2 stimulation, and an increased secretion of IFN-γ and decreased secretion of IL-4 were noted after LPS stimulation. CONCLUSIONS: The high levels of proinflammatory cytokines secreted by Der p 2 were predetermined by MD-2 promoter SNPs (rs1809441/rs1809442). Through cytokine secretion by Der p 2 and LPS, these SNPs may serve as an indicator of the pathological phenotype of Der p 2-induced allergic inflammation.

Statin-conferred enhanced cellular resistance against bacterial pore-forming toxins in airway epithelial cells.

Statins are widely used to prevent cardiovascular disease. In addition to their inhibitory effects on cholesterol synthesis, statins have beneficial effects in patients with sepsis and pneumonia, although molecular mechanisms have mostly remained unclear. Using human airway epithelial cells as a proper in vitro model, we show that prior exposure to physiological nanomolar serum concentrations of simvastatin (ranging from 10-1,000 nM) confers significant cellular resistance to the cytotoxicity of pneumolysin, a pore-forming toxin and the main virulence factor of Streptococcus pneumoniae. This protection could be demonstrated with a different statin, pravastatin, or on a different toxin, α-hemolysin. Furthermore, through the use of gene silencing, pharmacological inhibitors, immunofluorescence microscopy, and biochemical and metabolic rescue approaches, we demonstrate that the mechanism of protection conferred by simvastatin at physiological nanomolar concentrations could be different from the canonical mevalonate pathways seen in most other mechanistic studies conducted with statins at micromolar levels. All of these data are integrated into a protein synthesis-dependent, calcium-dependent model showing the interconnected pathways used by statins in airway epithelial cells to elicit an increased resistance to pore-forming toxins. This research fills large gaps in our understanding of how statins may confer host cellular protection against bacterial infections in the context of airway epithelial cells without the confounding effect from the presence of immune cells. In addition, our discovery could be potentially developed into a host-centric strategy for the adjuvant treatment of pore-forming toxin associated bacterial infections.

Der p2 Internalization by Epithelium Synergistically Augments Toll-like Receptor-Mediated Proinflammatory Signaling.

PURPOSE: House-dust-mite (HDM) major allergen Der p2 shares homology and function with Toll-like receptor (TLR) signaling protein myeloid differentiation-2 (MD2) and may lead to airway inflammation. Should Der p2 be internalized by human airway epithelium, it has the theoretical propensity to potentiate epithelium activation. This study aimed to demonstrate the internalization of Der p2 by airway epithelium and to investigate the effects of Der p2 on MD2 expression and epithelium activation. METHODS: Internalization of recombinant, enhanced green fluorescent protein-labelled Der p2 (rDer p2-EGFP) into human airway epithelium (BEAS-2B) was tracked by laser confocal microscopy and confirmed by immunoblotting. Reverse-transcription polymerase chain reaction (RT-PCR), immunoblotting, and immunohistochemical staining were used to determine the effect of Der p2 on MD2 expression in vitro and ex vivo. Expression of messenger RNA (mRNA) encoding receptors/cytokines was measured by RT-PCR. Secretion of interleukin-6/interleukin-8 (IL-6/IL-8) was measured by enzyme-linked immunosorbent assay (ELISA). RESULTS: Internalization of Der p2 by BEAS-2B was confirmed by confocal microscopy and immunoblotting using rDer p2-EGFP and rDer p2, respectively. Expression of MD2 protein was increased in BEAS-2B and human nasal polyp airway epithelium cultured with rDer p2. Recombinant Der p2-cultured BEAS-2B caused little spontaneous IL-6/IL-8 secretion but significantly augmented by TLR ligand LPS. IL-6 secretion was up-regulated after MD2 transfection. Internalization of Der p2 was reduced by TLR2 RNA knockdown. Dexamethasone, calcitriol, anti-MD2/anti-TLR2 antibodies, and signalling inhibitors significantly reduced LPS+Der p2-induced IL-6/IL-8 secretion. CONCLUSIONS: Human airway epithelium may internalize Der p2, which potentiates the response to environmental proinflammatory stimuli through MD2 and TLRs. This study highlights a novel mechanism and alleviates IL-6/IL-8 secretion in mite-induced airway inflammation.

Reproducible and consistent quantification of the Saccharomyces cerevisiae proteome by SWATH-mass spectrometry.

Targeted mass spectrometry by selected reaction monitoring (S/MRM) has proven to be a suitable technique for the consistent and reproducible quantification of proteins across multiple biological samples and a wide dynamic range. This performance profile is an important prerequisite for systems biology and biomedical research. However, the method is limited to the measurements of a few hundred peptides per LC-MS analysis. Recently, we introduced SWATH-MS, a combination of data independent acquisition and targeted data analysis that vastly extends the number of peptides/proteins quantified per sample, while maintaining the favorable performance profile of S/MRM. Here we applied the SWATH-MS technique to quantify changes over time in a large fraction of the proteome expressed in Saccharomyces cerevisiae in response to osmotic stress. We sampled cell cultures in biological triplicates at six time points following the application of osmotic stress and acquired single injection data independent acquisition data sets on a high-resolution 5600 tripleTOF instrument operated in SWATH mode. Proteins were quantified by the targeted extraction and integration of transition signal groups from the SWATH-MS datasets for peptides that are proteotypic for specific yeast proteins. We consistently identified and quantified more than 15,000 peptides and 2500 proteins across the 18 samples. We demonstrate high reproducibility between technical and biological replicates across all time points and protein abundances. In addition, we show that the abundance of hundreds of proteins was significantly regulated upon osmotic shock, and pathway enrichment analysis revealed that the proteins reacting to osmotic shock are mainly involved in the carbohydrate and amino acid metabolism. Overall, this study demonstrates the ability of SWATH-MS to efficiently generate reproducible, consistent, and quantitatively accurate measurements of a large fraction of a proteome across multiple samples.

MSstats: an R package for statistical analysis of quantitative mass spectrometry-based proteomic experiments.

UNLABELLED: MSstats is an R package for statistical relative quantification of proteins and peptides in mass spectrometry-based proteomics. Version 2.0 of MSstats supports label-free and label-based experimental workflows and data-dependent, targeted and data-independent spectral acquisition. It takes as input identified and quantified spectral peaks, and outputs a list of differentially abundant peptides or proteins, or summaries of peptide or protein relative abundance. MSstats relies on a flexible family of linear mixed models. AVAILABILITY AND IMPLEMENTATION: The code, the documentation and example datasets are available open-source at www.msstats.org under the Artistic-2.0 license. The package can be downloaded from www.msstats.org or from Bioconductor www.bioconductor.org and used in an R command line workflow. The package can also be accessed as an external tool in Skyline (Broudy et al., 2014) and used via graphical user interface.

Targeted protein quantification using sparse reference labeling.

Targeted proteomics is a method of choice for accurate and high-throughput quantification of predefined sets of proteins. Many workflows use isotope-labeled reference peptides for every target protein, which is time consuming and costly. We report a statistical approach for quantifying full protein panels with a reduced set of reference peptides. This label-sparse approach achieves accurate quantification while reducing experimental cost and time. It is implemented in the software tool SparseQuant.

Targeted proteomics reveals strain-specific changes in the mouse insulin and central metabolic pathways after a sustained high-fat diet.

The metabolic syndrome is a collection of risk factors including obesity, insulin resistance and hepatic steatosis, which occur together and increase the risk of diseases such as diabetes, cardiovascular disease and cancer. In spite of intense research, the complex etiology of insulin resistance and its association with the accumulation of triacylglycerides in the liver and with hepatic steatosis remains not completely understood. Here, we performed quantitative measurements of 144 proteins involved in the insulin-signaling pathway and central metabolism in liver homogenates of two genetically well-defined mouse strains C57BL/6J and 129Sv that were subjected to a sustained high-fat diet. We used targeted mass spectrometry by selected reaction monitoring (SRM) to generate accurate and reproducible quantitation of the targeted proteins across 36 different samples (12 conditions and 3 biological replicates), generating one of the largest quantitative targeted proteomics data sets in mammalian tissues. Our results revealed rapid response to high-fat diet that diverged early in the feeding regimen, and evidenced a response to high-fat diet dominated by the activation of peroxisomal ß-oxidation in C57BL/6J and by lipogenesis in 129Sv mice.

Automated selected reaction monitoring data analysis workflow for large-scale targeted proteomic studies.

Targeted proteomics based on selected reaction monitoring (SRM) mass spectrometry is commonly used for accurate and reproducible quantification of protein analytes in complex biological mixtures. Strictly hypothesis-driven, SRM assays quantify each targeted protein by collecting measurements on its peptide fragment ions, called transitions. To achieve sensitive and accurate quantitative results, experimental design and data analysis must consistently account for the variability of the quantified transitions. This consistency is especially important in large experiments, which increasingly require profiling up to hundreds of proteins over hundreds of samples. Here we describe a robust and automated workflow for the analysis of large quantitative SRM data sets that integrates data processing, statistical protein identification and quantification, and dissemination of the results. The integrated workflow combines three software tools: mProphet for peptide identification via probabilistic scoring; SRMstats for protein significance analysis with linear mixed-effect models; and PASSEL, a public repository for storage, retrieval and query of SRM data. The input requirements for the protocol are files with SRM traces in mzXML format, and a file with a list of transitions in a text tab-separated format. The protocol is especially suited for data with heavy isotope-labeled peptide internal standards. We demonstrate the protocol on a clinical data set in which the abundances of 35 biomarker candidates were profiled in 83 blood plasma samples of subjects with ovarian cancer or benign ovarian tumors. The time frame to realize the protocol is 1-2 weeks, depending on the number of replicates used in the experiment.

Enzymatic stability and immunoregulatory efficacy of a synthetic indolicidin analogue with regular enantiomeric sequence.

Cell-mediated immunity plays a major role in protecting the host from viral infections and tumor challenge. Here, we report the enzymatic stability and adjuvanticity of a peptiomimetic stereoisomer of the bovine neutrophil peptide indolicidin. The analogue, dubbed ld-indolicidin, contains the regular enantiomeric sequence of indolicidin and is synthesized by general stepwise solid-phase strategy. ld-Indolicidin possesses high resistance to enzymatic degradation and shows tolerance in mice. As vaccine adjuvant, ld-indolicidin is better able than the native form of indolicidin to enhance cell-mediated immune responses, using inactivated H5N1 virus as a model antigen. Taken together, these results open up a new approach to the development of vaccine adjuvants and immunotherapy technologies.

Dengue-1 envelope protein domain III along with PELC and CpG oligodeoxynucleotides synergistically enhances immune responses.

The major weaknesses of subunit vaccines are their low immunogenicity and poor efficacy. Adjuvants can help to overcome some of these inherent defects with subunit vaccines. Here, we evaluated the efficacy of the newly developed water-in-oil-in-water multiphase emulsion system, termed PELC, in potentiating the protective capacity of dengue-1 envelope protein domain III. Unlike aluminum phosphate, dengue-1 envelope protein domain III formulated with PELC plus CpG oligodeoxynucleotides induced neutralizing antibodies against dengue-1 virus and increased the splenocyte secretion of IFN-γ after in vitro re-stimulation. The induced antibodies contained both the IgG1 and IgG2a subclasses. A rapid anamnestic neutralizing antibody response against a live dengue virus challenge was elicited at week 26 after the first immunization. These results demonstrate that PELC plus CpG oligodeoxynucleotides broaden the dengue-1 envelope protein domain III-specific immune responses. PELC plus CpG oligodeoxynucleotides is a promising adjuvant for recombinant protein based vaccination against dengue virus.

Targeted proteomics of the eicosanoid biosynthetic pathway completes an integrated genomics-proteomics-metabolomics picture of cellular metabolism.

Eicosanoids constitute a diverse class of bioactive lipid mediators that are produced from arachidonic acid and play critical roles in cell signaling and inflammatory aspects of numerous diseases. We have previously quantified eicosanoid metabolite production in RAW264.7 macrophage cells in response to Toll-like receptor 4 signaling and analyzed the levels of transcripts coding for the enzymes involved in the eicosanoid metabolite biosynthetic pathways. We now report the quantification of changes in protein levels under similar experimental conditions in RAW264.7 macrophages by multiple reaction monitoring mass spectrometry, an accurate targeted protein quantification method. The data complete the first fully integrated genomic, proteomic, and metabolomic analysis of the eicosanoid biochemical pathway.

Protein significance analysis in selected reaction monitoring (SRM) measurements.

Selected reaction monitoring (SRM) is a targeted mass spectrometry technique that provides sensitive and accurate protein detection and quantification in complex biological mixtures. Statistical and computational tools are essential for the design and analysis of SRM experiments, particularly in studies with large sample throughput. Currently, most such tools focus on the selection of optimized transitions and on processing signals from SRM assays. Little attention is devoted to protein significance analysis, which combines the quantitative measurements for a protein across isotopic labels, peptides, charge states, transitions, samples, and conditions, and detects proteins that change in abundance between conditions while controlling the false discovery rate. We propose a statistical modeling framework for protein significance analysis. It is based on linear mixed-effects models and is applicable to most experimental designs for both isotope label-based and label-free SRM workflows. We illustrate the utility of the framework in two studies: one with a group comparison experimental design and the other with a time course experimental design. We further verify the accuracy of the framework in two controlled data sets, one from the NCI-CPTAC reproducibility investigation and the other from an in-house spike-in study. The proposed framework is sensitive and specific, produces accurate results in broad experimental circumstances, and helps to optimally design future SRM experiments. The statistical framework is implemented in an open-source R-based software package SRMstats, and can be used by researchers with a limited statistics background as a stand-alone tool or in integration with the existing computational pipelines.

Keloid-derived fibroblasts have a diminished capacity to produce prostaglandin E2.

Keloids result from pathological wound healing responses. However, the pathogenesis of keloids is still poorly understood. PGE2 was shown to decrease fibroblast proliferation, inhibit collagen synthesis and enhance the expression of matrix-metalloproteinases (MMPs). This study sought to delineate the production of PGE2 by normal and keloid-derived dermal fibroblasts. Human normal and keloid dermal fibroblasts were cultured in vitro. Cell proliferation and viability were determined based on WST-1 assay. IL-1beta-induced PGE2 production and effects of PGE2 on the synthesis of procollagen by culture-derived fibroblasts were determined by using enzyme-linked immunosorbant assay (ELISA) kits. IL-1beta-induced MMP-1 production by culture-derived fibroblasts was determined with an MMP-1 immunoassay kit. Our results showed that normal and keloid-derived fibroblasts exhibited a statistically significant increase (p<0.05) in cell proliferation when the cells were cultured in media with an increase in the concentrations (0%, 2% and 10%) of fetal bovine serum (FBS). In culture medium without FBS, an increase in cell proliferation of keloid-derived fibroblasts was detectable when compared with those of control fibroblasts. IL-1beta (1 ng/ml and 10 ng/ml) stimulated statistically significant production (p<0.01) of PGE2 by both normal and keloid-derived fibroblasts. However, lower levels of PGE2 produced by keloid-derived fibroblasts were detectable compared with those produced by normal-derived fibroblasts (p<0.05). In this study, although not statistically significant, inhibition of procollagen production by PGE2 in a dose-dependent manner was found. In addition, decreased production of MMP-1 by keloid-derived fibroblasts compared with those of control fibroblasts was also observed. In conclusion, keloid-derived fibroblasts produced less PGE2 than those produced by control fibroblasts. The role of diminished capacity of PGE2 production in keloid formation is presently unknown and needs further study.