Discovery of naturally processed and HLA-presented class I peptides from vaccinia virus infection using mass spectrometry for vaccine development.

An important approach for developing a safer smallpox vaccine is to identify naturally processed immunogenic vaccinia-derived peptides rather than live whole vaccinia virus. We used two-dimensional liquid chromatography coupled to mass spectrometry to identify 116 vaccinia peptides, encoded by 61 open reading frames, from a B-cell line (homozygous for HLA class I A*0201, B*1501, and C*03) after infection with vaccinia virus (Dryvax). Importantly, 68 of these peptides are conserved in variola, providing insight into the peptides that induce protection against smallpox. Twenty-one of these 68 conserved peptides were 11 amino acids long or longer, outside of the range of most predictive algorithms. Thus, direct identification of naturally processed and presented HLA peptides gives important information not provided by current computational methods for identifying potential vaccinia epitopes.

Extensive fractionation and identification of proteins within nasal lavage fluids from allergic rhinitis and asthmatic chronic rhinosinusitis patients.

Allergic rhinitis (AR), chronic rhinosinusitis (CRS), and asthma are prevalent airway diseases that can have a substantial impact on a patient's quality of life. MS analyses of biological fluids can effectively screen for proteins associated with disease processes, however, initial detection of diagnostic proteins is difficult due to protein complexity and dynamic range. To enhance the detection of lower abundance proteins, intact nasal lavage fluid (NLF) proteins from nonpolypoid AR and from asthmatic CRS patients were extensively fractionated prior to LC/MS/MS analysis. Pooled NLF samples were processed to remove low molecular weight molecules and high abundance plasma proteins. Anion exchange (AX) chromatography followed by RP-LC further separated the remaining intact NLF proteins. The resulting fractions were digested with trypsin and the peptides analyzed by LC/MS/MS. Spectra were searched with MASCOT, SEQUEST, and X!Tandem to obtain peptide identifications and subsequently analyzed by Scaffold software to identify parent proteins with at least 99% confidence. The 197 identified proteins are compared to those previously cited in the literature and the workflow evaluated to determine the usefulness for the detection of lower abundance proteins. This is the first extensive list of NLF proteins generated from CRS patients with coexisting asthma.

A method for automatically interpreting mass spectra of 18O-labeled isotopic clusters.

16O/18O labeling is one differential proteomics technology among many that promises diagnostic and prognostic biomarkers of disease. Although the incorporation of 18O in the C-terminal carboxyl group during endoproteinase digestion in the presence of H2 18O makes the process of labeling facile, the ease and effectiveness of label incorporation have in some regards been outweighed by the difficulties in interpreting the resulting spectra. Complex isotope patterns result from the composition of unlabeled (18O(0)), singly labeled (18O(1)), and doubly labeled species (18O(2)) as well as contributions from the naturally occurring isotopes (e.g. 13C and 15N). Moreover because labeling is enzymatic, the number of 18O atoms incorporated can vary from peptide to peptide. Finally it is difficult to distinguish highly up-regulated from highly down-regulated or C-terminal peptides. We have developed an algorithm entitled regression analysis applied to mass spectrometry (RAAMS) that automatically, rapidly, and confidently interprets spectra of 18O-labeled peptides without requiring chemical composition information derived from product ion spectra. The algorithm is able to measure the effective 18O incorporation rate due to variable enzyme substrate specificity of the pseudosubstrate during the isotope exchange reaction and corrects for the 18O(0) abundance that remains in the labeled sample when using a two-step digestion/labeling procedure. We have also incorporated a method for distinguishing pure 18O(0) from pure 18O(2) peptides utilizing impure H2 18O. The algorithm operates on centroided peak lists and is therefore very fast: nine chromatograms of, on average, 1,168 spectra and containing, on average, 6,761 isotopic clusters were interpreted in, on average, 45 s per chromatogram. RAAMS is fast enough (average, 38 ms/spectrum) to allow the possibility of performing information-dependent MS/MS on a chromatographic time scale on species exceeding predetermined ratio thresholds. We describe in detail the operation of the algorithm and demonstrate its use on datasets with known and unknown ratios.

Effect of post-excitation radius on ion abundance, mass measurement accuracy, and isotopic distributions in Fourier transform ion cyclotron resonance mass spectrometry.

We report an evaluation of a modern Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR-MS) instrument to determine the general trend of post-excitation radius on total ion abundance, mass measurement accuracy, and isotopic distributions for internally calibrated mass spectra. The optimum post-excitation radius was determined using total ion abundance, mass measurement accuracy (MMA), and isotope ratios. However, despite the utility of internal calibration for achieving ultimate MMA, the internal calibrant ions were insufficient for compensating for sub-optimum ICR cell conditions. The findings presented herein underscore the importance of determining the optimal post-excitation radius in FT-ICR-MS to achieve high ion abundance (low limits of detection), high MMA, and valid isotopic distributions.

Reproducibility of retention time using a splitless nanoLC coupled to an ESI-FTICR mass spectrometer.

Replicate injections of a myoglobin tryptic digest, ultrafiltrates of human serum, and ultrafiltrates of human plasma made on a splitless nanoscale liquid chromatography system coupled to a Fourier-transform ion cyclotron resonance mass spectrometer were utilized to assess analytical reproducibility. The mean (across 19 tryptic fragments detected in at least 3 of 24 replicate injections) of the 95% CIM of retention time is +/-6.3 sec and the maximum is +/-11.6 sec; when only those tryptic fragments that were found in 24 of 24 replicates are considered, the maximum 95% CIM of retention time drops to +/-6.7 sec. This represents a deviation of at most seven spectra. Similarly, in the serum (and plasma) filtrates, 95% of the 393 (312) species observed in 3 replicate injections had a 95% CIM of retention time of +/-22.0 (+/-18.5) sec or less. Ion abundance was similarly reproducible, with an average across those tryptic fragments observed in all 24 replicates of the coefficient of variation of ion abundance equal to 37.0%. This reproducibility represents a significant improvement over prior work, which required flow splitting in order to achieve nanoliter-per-minute flow rates. These improvements in retention time reproducibility will also be observed with mass spectrometers employing mass analyzers other than FT-ICR.

Analysis of the low molecular weight fraction of serum by LC-dual ESI-FT-ICR mass spectrometry: precision of retention time, mass, and ion abundance.

This study quantifies the experimental uncertainty for LC retention time, mass measurement precision, and ion abundance obtained from replicate nLC-dual ESI-FT-ICR analyses of the low molecular weight fraction of serum. We used ultrafiltration to enrich the < 10-kDa fraction of components from the high-abundance proteins in a pooled serum sample derived from ovarian cancer patients. The THRASH algorithm for isotope cluster detection was applied to five replicate nLC-dual ESI-FT-ICR chromatograms. A simple two-level grouping algorithm was applied to the more than 7000 isotope clusters found in each replicate and identified 497 molecular species that appeared in at least four of the replicates. In addition, a representative set of 231 isotope clusters, corresponding to 188 unique molecular species, were manually interpreted to verify the automated algorithm and to set its tolerances. For nLC retention time reproducibility, 95% of the 497 species had a 95% confidence interval of the mean of +/- 0.9 min or less without the use of chromatographic alignment procedures. Furthermore, 95% of the 497 species had a mass measurement precision of < or = 3.2 and < or = 6.3 ppm for internally and externally calibrated spectra, respectively. Moreover, 95% of replicate ion abundance measurements, covering an ion abundance range of approximately 3 orders of magnitude, had a coefficient of variation of less than 62% without using any normalization functions. The variability of ion abundance was independent of LC retention time, mass, and ion abundance quartile. These measures of analytical reproducibility establish a statistical rationale for differentiating healthy and disease patient populations for the elucidation of biomarkers in the low molecular fraction of serum.

Detection of genetic variants of transthyretin by liquid chromatography-dual electrospray ionization fourier-transform ion-cyclotron-resonance mass spectrometry.

BACKGROUND: One of the numerous proteins causing amyloidosis is transthyretin (TTR), a protein usually responsible for the transport of thyroxine and retinol-binding protein. Variants within TTR cause it to aggregate and form insoluble fibers that accumulate in tissue, leading to organ dysfunction. METHODS: TTR was immunoprecipitated from serum by use of a polyclonal antibody and subsequently reduced with tris(2-carboxyethyl)phosphine. The purified TTR was then analyzed by fast-gradient liquid chromatography-dual-electrospray ionization Fourier-transform ion-cyclotron-resonance (FT-ICR) mass spectrometry. DNA sequencing was performed on all samples used in this study. RESULTS: Because of the inherent limitations in achieving high mass measurement accuracy based on the most abundant isotopic mass, we applied a fitting procedure that allowed determination of monoisotopic mass. Wild-type TTR (mean molecular mass, 13,761 Da) and its associated variant forms could be distinguished because of the high molecular mass accuracy afforded by FT-ICR (< or = 3 ppm) except for instances involving isobaric species or when isotopic distributions overlapped significantly. The [M + 11 H+]11+ charge state for all samples was used to determine the mass accuracies for both wild-type and variant forms of the protein. We correctly assigned seven of seven TTR variants. Moreover, using a combination of proteomic and genomic technologies, we discovered and characterized a previously unreported cis double mutation with a mass only 2 Da different from wild-type TTR. Furthermore, DNA sequencing of the TTR gene for all individuals in this study completely agreed with the intact protein measurements. CONCLUSIONS: FT-ICR mass spectrometry has sufficient mass accuracy to identify genetic variants of immunoaffinity-purified TTR. We believe that 91% of known TTR variants could be detected by this technique.