Characterization of grain-specific peptide markers for the detection of gluten by mass spectrometry.

Global and targeted mass spectrometry-based proteomic approaches were developed to discover, evaluate, and apply gluten peptide markers to detect low parts per million (ppm) wheat contamination of oats. Prolamins were extracted from wheat, barley, rye, and oat flours and then reduced, alkylated, and digested with chymotrypsin. The resulting peptides were subjected to LC-MS/MS analysis and database matching. No peptide markers common to wheat, barley, and rye were identified that could be used for global gluten detection. However, many grain-specific peptide markers were identified, and a set of these markers was selected for gluten detection and grain differentiation. Wheat flour was spiked into gluten-free oat flour at concentrations of 1-100,000 ppm and analyzed to determine the lowest concentration at which the wheat "contaminant" could be confidently detected in the mixture. The same 2D ion trap instrument that was used for the global proteomics approach was used for the targeted proteomics approach, providing a seamless transition from target discovery to application. A powerful, targeted MS/MS method enabled detection of two wheat peptide markers at the 10 ppm wheat flour-in-oat flour concentration. Because gluten comprises approximately 10% of wheat flour protein, the reported wheat gluten-specific peptides can enable detection of approximately 1 ppm of wheat gluten in oats.

Serum S100A6 concentration predicts peritoneal tumor burden in mice with epithelial ovarian cancer and is associated with advanced stage in patients.

BACKGROUND: Ovarian cancer is the 5th leading cause of cancer related deaths in women. Five-year survival rates for early stage disease are greater than 94%, however most women are diagnosed in advanced stage with 5 year survival less than 28%. Improved means for early detection and reliable patient monitoring are needed to increase survival. METHODOLOGY AND PRINCIPAL FINDINGS: Applying mass spectrometry-based proteomics, we sought to elucidate an unanswered biomarker research question regarding ability to determine tumor burden detectable by an ovarian cancer biomarker protein emanating directly from the tumor cells. Since aggressive serous epithelial ovarian cancers account for most mortality, a xenograft model using human SKOV-3 serous ovarian cancer cells was established to model progression to disseminated carcinomatosis. Using a method for low molecular weight protein enrichment, followed by liquid chromatography and mass spectrometry analysis, a human-specific peptide sequence of S100A6 was identified in sera from mice with advanced-stage experimental ovarian carcinoma. S100A6 expression was documented in cancer xenografts as well as from ovarian cancer patient tissues. Longitudinal study revealed that serum S100A6 concentration is directly related to tumor burden predictions from an inverse regression calibration analysis of data obtained from a detergent-supplemented antigen capture immunoassay and whole-animal bioluminescent optical imaging. The result from the animal model was confirmed in human clinical material as S100A6 was found to be significantly elevated in the sera from women with advanced stage ovarian cancer compared to those with early stage disease. CONCLUSIONS: S100A6 is expressed in ovarian and other cancer tissues, but has not been documented previously in ovarian cancer disease sera. S100A6 is found in serum in concentrations that correlate with experimental tumor burden and with clinical disease stage. The data signify that S100A6 may prove useful in detecting and/or monitoring ovarian cancer, when used in concert with other biomarkers.

An initial characterization of the serum phosphoproteome.

Phosphorylation is a dynamic post-translational protein modification that is the basis of a general mechanism for maintaining and regulating protein structure and function, and of course underpins key cellular processes through signal transduction. In the last several years, many studies of large-scale profiling of phosphoproteins and mapping phosphorylation sites from cultured human cells or tissues by mass spectrometry technique have been published; however, there is little information on general (or global) phosphoproteomic characterization and description of the content of phosphoprotein analytes within the circulation. Circulating phosphoproteins and phosphopeptides could represent important disease biomarkers because of their well-known importance in cellular function, and these analytes frequently are mutated and activated in human diseases such as cancer. Here, we report an initial attempt to characterize the phosphoprotein content of serum. To accomplish this, we developed a method in which phosphopeptides are enriched from digested serum proteins and analyzed by LC-MS/MS using LTQ-Orbitrap (CID) and LTQ-ETD mass spectrometers. With this approach, we identified approximately 100 unique phosphopeptides with stringent filtering criteria and a lower than 1% false discovery rate.

Improved immobilized metal affinity chromatography for large-scale phosphoproteomics applications.

Dysregulated protein phosphorylation is a primary culprit in multiple physiopathological states. Hence, although analysis of signaling cascades on a proteome-wide scale would provide significant insight into both normal and aberrant cellular function, such studies are simultaneously limited by sheer biological complexity and concentration dynamic range. In principle, immobilized metal affinity chromatography (IMAC) represents an ideal enrichment method for phosphoproteomics. However, anecdotal evidence suggests that this technique is not widely and successfully applied beyond analysis of simple standards, gel bands, and targeted protein immunoprecipitations. Here, we report significant improvements in IMAC-based methodology for enrichment of phosphopeptides from complex biological mixtures. Moreover, we provide detailed explanation for key variables that in our hands most influenced the outcome of these experiments. Our results indicate 5- to 10-fold improvement in recovery of singly- and multiply phosphorylated peptide standards in addition to significant improvement in the number of high-confidence phosphopeptide sequence assignments from global analysis of cellular lysate. In addition, we quantitatively track phosphopeptide recovery as a function of phosphorylation state, and provide guidance for impedance-matching IMAC column capacity with anticipated phosphopeptide content of complex mixtures. Finally, we demonstrate that our improved methodology provides for identification of phosphopeptide distributions that closely mimic physiological conditions.

Biomarker discovery by CE-MS enables sequence analysis via MS/MS with platform-independent separation.

CE-MS is a successful proteomic platform for the definition of biomarkers in different body fluids. Besides the biomarker defining experimental parameters, CE migration time and molecular weight, especially biomarker's sequence identity is an indispensable cornerstone for deeper insights into the pathophysiological pathways of diseases or for made-to-measure therapeutic drug design. Therefore, this report presents a detailed discussion of different peptide sequencing platforms consisting of high performance separation method either coupled on-line or off-line to different MS/MS devices, such as MALDI-TOF-TOF, ESI-IT, ESI-QTOF and Fourier transform ion cyclotron resonance, for sequencing indicative peptides. This comparison demonstrates the unique feature of CE-MS technology to serve as a reliable basis for the assignment of peptide sequence data obtained using different separation MS/MS methods to the biomarker defining parameters, CE migration time and molecular weight. Discovery of potential biomarkers by CE-MS enables sequence analysis via MS/MS with platform-independent sample separation. This is due to the fact that the number of basic and neutral polar amino acids of biomarkers sequences distinctly correlates with their CE-MS migration time/molecular weight coordinates. This uniqueness facilitates the independent entry of different sequencing platforms for peptide sequencing of CE-MS-defined biomarkers from highly complex mixtures.

Discovery and validation of new protein biomarkers for urothelial cancer: a prospective analysis.

BACKGROUND: Non-invasive methods for diagnosis of urothelial carcinoma have reduced specificity in patients with non-malignant genitourinary disease or other disorders. We aimed to use mass spectrometry and bioinformatics to define and validate a cancer-specific proteomic pattern. METHODS: We used capillary-electrophoresis-coupled mass spectrometry to obtain polypeptide patterns from urine samples of 46 patients with urothelial carcinoma and 33 healthy volunteers. From signatures of polypeptide mass, we established a model for predicting the presence of cancer. The model was refined further by use of 366 urine samples obtained from other healthy volunteers and patients with malignant and non-malignant genitourinary disease. We estimated the proportion of correct classifications from the refined model by applying it to a masked group containing 31 patients with urothelial carcinoma, 11 healthy individuals, and 138 patients with non-malignant genitourinary disease. We also sequenced several diagnostic polypeptides for urothelial carcinoma. FINDINGS: We identified a diagnostic urothelial-carcinoma pattern of 22 polypeptide masses. On masked assessment, prediction models based on these polypeptides correctly classified all samples of urothelial carcinoma (sensitivity 100% [95% CI 87-100) and all healthy samples (specificity 100% [84-100]). Correct identification of patients with urothelial carcinoma from those with other malignant and non-malignant genitourinary disease ranged from 86% to 100%. A prominent polypeptide from the diagnostic pattern for urothelial carcinoma was identified as fibrinopeptide A-a known biomarker of ovarian cancer and gastric cancer. INTERPRETATION: Validation of a highly specific biomarker pattern for urothelial carcinoma in a large group of patients with various urological disorders could be used in the diagnosis of other diseases that are identified in urine samples or in other body fluids.

Identification of novel and widely expressed cancer/testis gene isoforms that elicit spontaneous cytotoxic T-lymphocyte reactivity to melanoma.

Multiple isoforms (TAG-1, TAG-2a, TAG-2b, and TAG-2c) of a novel cancer/testis antigen gene have been identified and are expressed in 84-88% of melanoma cell lines tested. The tumor antigen (TAG) genes are also expressed in K562, a myelogenous leukemia cell line, and they have homology to two chronic myelogenous leukemia-derived clones and a hepatocellular carcinoma clone in the human expressed sequence tags (EST) database, thus indicating that their expression is not restricted to melanomas. In contrast to the fact that many cancer/testis antigens are poorly immunogenic, the TAG-derived peptide, RLSNRLLLR, is recognized by HLA-A3-restricted, melanoma-specific CTLs that were obtained from a melanoma patient with spontaneous reactivity to the peptide. Unlike most cancer/testis antigen genes which are located on the X chromosome, the TAG genes are located on chromosome 5. The genes have the additional unusual features of being coded for in an open reading frame that is initiated by one of three nonstandard initiation codons, and the sequence coding the RLSNRLLLR peptide crosses an exon-exon boundary. The properties of the TAG antigens indicate that they are excellent vaccine candidates for the treatment of melanoma and perhaps other cancers.

Identification of a shared epitope recognized by melanoma-specific, HLA-A3-restricted cytotoxic T lymphocytes.

We previously established a melanoma-reactive cytotoxic T lymphocyte (CTL) line that recognizes multiple epitopes in the context of HLA-A3. To increase the number of peptides available for use in a vaccine for the treatment of melanoma, we identified one of these epitopes, SQNFPGSQK, through a combination of epitope reconstitution experiments and mass spectrometry. The SQNFPGSQK peptide was also found to be associated with HLA-A3 on an additional melanoma tumor line, thus indicating that the peptide is not unique to the melanoma tumor line from which it was isolated and thus, unlikely to arise through a mutational event. Although the protein origin of SQNFPGSQK has yet to be established, the shared nature of this epitope and the fact that it elicits a natural immune response indicates that it warrants further study to determine its usefulness as a vaccine component for the treatment of melanoma. The peptide may also be useful as a research tool for evaluating spontaneous anti-tumor immune responses in patients with melanoma.

Naturally occurring peptides associated with HLA-A2 in ovarian cancer cell lines identified by mass spectrometry are targets of HLA-A2-restricted cytotoxic T cells.

Identifying naturally occurring peptides bound to HLA class I molecules recognized by HLA-restricted cytotoxic T lymphocytes (CTL) is both relevant and central to the development of effective immunotherapeutic strategies against cancer. Several cancer-related genes have been reported for ovarian cancer, but very few are known to be naturally processed T cell epitopes. In the present study we used mass spectrometry to identify 16 novel HLA-A2-bound peptides from HLA-A2(+) ovarian cancer cell lines. All 16 peptides are derived from source proteins with diverse functions and marked homology to known proteins found in public databases. Synthetic peptide analogues of identified sequences were found to stabilize HLA-A2.1, albeit with varying affinities. The peptides were found to be antigenic in that a primary CD8(+) CTL response could be elicited from normal donor blood. The CTL generated were not only peptide specific, but failed to recognize targets pulsed with control peptides. In addition, recognition of shared HLA-A2-restricted epitopes by these CTL is suggested by their reactivity with a subset of HLA-A2(+) tumor lines and freshly isolated cancer cells or cell lines established from peritoneal ascites. These results were further corroborated by competitive inhibition of lysis of an otherwise susceptible cell line in the presence of cold peptide-pulsed targets. Furthermore, lack of recognition of several HLA-A2(+) control cell lines or cells isolated from normal ovaries suggests that these peptides are cancer related. These findings broaden the list of CTL-defined antigens that could lead to the development of multi-epitope vaccines for the treatment of ovarian cancer.

Identification by mass spectrometry of CD8(+)-T-cell Mycobacterium tuberculosis epitopes within the Rv0341 gene product.

Identification of Mycobacterium tuberculosis proteins that can provide immunological protection against tuberculosis is essential for the development of a more effective vaccine. To identify new vaccine targets, we have used immunoaffinity chromatography to isolate class I HLA-A*0201-peptide complexes from M. tuberculosis-infected cells and sequenced the isolated peptides by mass spectrometry. From this material, we have identified three peptides derived from a single M. tuberculosis protein that is encoded by the M. tuberculosis Rv0341 gene. Although no known protein encoded by the Rv0341 gene has been described, it is predicted to give rise to a 479-amino-acid protein with a molecular mass of 43.9 kDa. The three peptides identified are all nested and were found to be antigenic, in that they were capable of inducing peptide-specific, CD8(+) T cells from healthy blood donors in vitro and capable of recognizing and lysing M. tuberculosis-infected dendritic cells. This methodology provides a powerful tool for the identification of M. tuberculosis proteins that can be evaluated as potential vaccine candidates.