Application of Whole-Cell Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry for Rapid Identification and Clustering Analysis of Pantoea Species

Pantoea agglomerans is an ecologically diverse taxon that includes commercially important plant-beneficial strains and opportunistic clinical isolates. Standard biochemical identification methods in diagnostic laboratories were repeatedly shown to run into false-positive identifications of P. agglomerans, a fact which is also reflected by the high number of 16S rRNA gene sequences in public databases that are incorrectly assigned to this species. More reliable methods for rapid identification are required to ascertain the prevalence of this species in clinical samples and to evaluate the biosafety of beneficial isolates. Whole-cell matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) methods and reference spectra (SuperSpectrum) were developed for accurate identification of P. agglomerans and related bacteria and used to detect differences in the protein profile within variants of the same strain, including a ribosomal point mutation conferring streptomycin resistance. MALDI-TOF MS-based clustering was shown to generally agree with classification based on gyrB sequencing, allowing rapid and reliable identification at the species level.Pantoea agglomerans (20) is a ubiquitous plant-epiphytic bacterium that belongs to the family Enterobacteriaceae. While several strains are commercialized for biological control of plant diseases (23), the species also includes two phytopathogenic pathovars that carry distinctive virulence plasmids (32). P. agglomerans has a Jekyll-Hyde nature, being described also as an opportunistic human pathogen (30), which raises biosafety regulatory issues for the utilization of beneficial isolates (45). Clinical reports predominantly involve septicemia following penetrating trauma (16, 56) or nosocomial infections (14, 55). Clinical pathogenicity of this species has not been confidently confirmed (unfulfilled Koch''s postulates). Infections attributed to P. agglomerans are typically of a polymicrobial nature involving patients affected by other diseases (14) and may represent secondary contamination of wounds. Standard clinical diagnostics and identification rely mainly on biochemical profiling analysis or alternatively on 16S rRNA gene sequencing, despite the inadequacy of these techniques for precise discrimination within the Enterobacter and Pantoea genera (5, 20, 39). Problems with correct identification have been observed for automated systems such as the API 20E (24, 39) and Vitek-2/GNI+ (39, 40) (both from bioMerieux) or the Phoenix (11, 38) and Crystal identification systems (40, 48) (both from BD Diagnostic Systems).P. agglomerans is a composite taxon conglomerating former Enterobacter agglomerans, Erwinia milletiae, and Erwinia herbicola strains. Accurate identification is complicated by the unsettled taxonomy of the “P. agglomerans-E. herbicola-E. agglomerans” complex (45). Recent analyses based on gyrB sequencing, multilocus sequence analysis (MLSA) (4), and fluorescent amplified fragment length polymorphisms (fAFLP) (45) indicate that strains belonging to Enterobacter or Erwinia archived in culture collections are often erroneously assigned to P. agglomerans and are likely also misidentified in clinical diagnostics. False classifications of environmental P. agglomerans strains as related Pantoea species, including human- or plant-pathogenic P. ananatis, are also common (45). Inadequate biochemical identification methods and uncertainty regarding current taxonomy are revealed also by the excessive number of 16S rRNA gene sequences incorrectly assigned to P. agglomerans that can be retrieved from GenBank (Fig. ​(Fig.1).1). Sequencing of housekeeping genes, MLSA, and fAFLP are labor-intensive, time-consuming, and impractical approaches as routine diagnostic tools.Open in a separate windowFIG. 1.Taxonomy of putative P. agglomerans isolates based on 16S rRNA gene sequences retrieved from GenBank under the currently accepted species name or under the old basonyms Enterobacter agglomerans and Erwinia herbicola. Out of a total of 331 complete or partial sequences found, 263 could be aligned over their 1,240-bp central region resulting in a minimum evolution tree. For the analysis, gaps and missing data were eliminated only in pairwise sequence comparisons, resulting in a total of 1,114 positions. Nodal supports were assessed by 1,000 bootstrap replicates. Only bootstrap values greater than 50% are shown. The scale bar represents the number of base substitutions per site. The number of “P. agglomerans” sequences clustering with a given reference strain in shown in parentheses. Reference strains and clades containing reference strains are marked in bold, and the corresponding accession numbers are indicated between brackets. For the genus Erwinia the following reference strains were used: E. persicina HK204 [{"type":"entrez-nucleotide","attrs":{"text":"NR_026049.1","term_id":"219846458","term_text":"NR_026049.1"}}NR_026049.1], E. rhapontici 2OP2 [{"type":"entrez-nucleotide","attrs":{"text":"FJ595873","term_id":"222088222","term_text":"FJ595873"}}FJ595873], E. billingiae Eb661 [{"type":"entrez-nucleotide","attrs":{"text":"AM055711","term_id":"84618137","term_text":"AM055711"}}AM055711], E. tasmaniensis Et2/99 [{"type":"entrez-nucleotide","attrs":{"text":"AM292080","term_id":"119658636","term_text":"AM292080"}}AM292080], and E. amylovora FAW 23482 [{"type":"entrez-nucleotide","attrs":{"text":"AY456711","term_id":"38488926","term_text":"AY456711"}}AY456711].Whole-cell matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) (31) is an emerging technology for identification of bacteria (26, 46), fungi (17, 33), viruses (29, 51), insects (41), and helminths (42). MALDI-TOF MS-based identification can accurately resolve bacterial identity at the genus, species, and in some taxa subspecies levels (e.g., Salmonella enterica serovars, Listeria genotypes) (1, 18). Identity is based on unique mass/charge ratio (m/z) fingerprints of proteins, which are ionized using short laser pulses directed to bacterial cells obtained from a single colony embedded in a matrix. After desorption, ions are accelerated in vacuum by a high electric potential and separated on the basis of the time taken to reach a detector, which is directly proportional to the mass-to-charge ratio of an ion. This technique has been shown to deliver reproducible protein mass fingerprints starting from an aliquot of a single bacterial colony within minutes and without any prior separation, purification, or concentration of samples. Whole-cell MALDI-TOF MS is a reliable technique across broad conditions (e.g., different growth media, cell growth states), with limited variability in mass-peak signatures within a selected mass range (2,000 < m/z < 20,000) that does not affect reliability of identification (28, 31). MALDI-TOF MS profiles primarily represent ribosomal proteins, which are the most abundant cellular proteins and are synthesized under all growth conditions (47). MALDI-TOF MS identification profiles derived from several characterized strains for a given species are used to develop reference spectra (e.g., SuperSpectrum; AnagnosTec GmbH, Potsdam, Germany), and they include a subset of characteristic and reproducible markers. MALDI-TOF MS identification databases are currently available for a relatively wide range of clinical bacteria, and this method has become an accepted tool for routine clinical diagnostics due to enhanced simplicity, rapidity, and reliability. However, environmental bacteria, such as Pantoea, have not been widely evaluated using MALDI-TOF MS and are largely absent from identification databases, limiting the practical reach of this new technology.Our objectives were to develop a robust method for rapid identification of P. agglomerans and related bacteria based on MALDI-TOF MS and to compare MALDI-TOF MS results against those obtained from a phylogenetic analysis based on gyrB sequencing as well as against biochemical identification methods.     

Rapid Characterization of Microalgae and Microalgae Mixtures Using Matrix-Assisted Laser Desorption Ionization Time-Of-Flight Mass Spectrometry (MALDI-TOF MS)

Current molecular methods to characterize microalgae are time-intensive and expensive. Matrix Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS) may represent a rapid and economical alternative approach. The objectives of this study were to determine whether MALDI-TOF MS can be used to: 1) differentiate microalgae at the species and strain levels and 2) characterize simple microalgal mixtures. A common protein extraction sample preparation method was used to facilitate rapid mass spectrometry-based analysis of 31 microalgae. Each yielded spectra containing between 6 and 56 peaks in the m/z 2,000 to 20,000 range. The taxonomic resolution of this approach appeared higher than that of 18S rDNA sequence analysis. For example, two strains of Scenedesmus acutus differed only by two 18S rDNA nucleotides, but yielded distinct MALDI-TOF mass spectra. Mixtures of two and three microalgae yielded relatively complex spectra that contained peaks associated with members of each mixture. Interestingly, though, mixture-specific peaks were observed at m/z 11,048 and 11,230. Our results suggest that MALDI-TOF MS affords rapid characterization of individual microalgae and simple microalgal mixtures.     

A New Filter Based Cultivation Approach for Improving Aspergillus Identification using Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS)

Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS) is widely used in clinical laboratories for routine identification of bacteria and yeasts. However, methodological difficulties are still apparent when applied to filamentous fungi. The liquid cultivation method recommended by Bruker Daltonics GmbH for identification of filamentous fungi by MALDI-TOF MS is labour intensive and time-consuming. In this study, growth of Aspergillus species on different (porous) surfaces was investigated with the aim to develop a more reliable, quicker and less laborious identification method using MALDI-TOF MS. Mycelial growth without sporulation mimicking liquid cultivation and reliable MALDI-TOF MS spectra were obtained when A. fumigatus strains were grown on and in between a polycarbonate membrane filter on Sabouraud dextrose agar. A database of in-house reference spectra was created by growing Aspergillus reference strains (mainly focusing on sections Fumigati and Flavi) under these selected conditions. A test set of 50 molecularly identified strains grown under different conditions was used to select the best growth condition for identification and to perform an initial validation of the in-house database. Based on these results, the cultivation method on top of a polycarbonate filter proved to be most successful for species identification. This method was therefore selected for the identification of two sets of clinical isolates that mainly consisted of Aspergilli (100 strains originating from Indonesia, 70 isolates from Qatar). The results showed that this cultivation method is reliable for identification of clinically relevant Aspergillus species, with 67% and 76% correct identification of strains from Indonesia and Qatar, respectively. In conclusion, cultivation of Aspergilli on top of a polycarbonate filter showed improved results compared to the liquid cultivation protocol recommended by Bruker in terms of percentage of correct identification, ease of MSP creation, time consumption, cost and labour intensity. This method can be reliably applied for identification of clinically important Aspergilli and has potential for identification of other filamentous fungi.

     

Application of Atmospheric Pressure Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry for Rapid Identification of Neisseria Species

Atmospheric pressure matrix-assisted laser desorption/ionization mass spectrometry (AP-MALDI MS) was applied to develop a proteomics-based method to detect and identify Neisseria species. Heat-inactivated clinical isolate cell suspensions of Neisseria gonorrhoeae and strains belonging to five serogroups (A, B, C, W135, and Y) of Neisseria meningitidis were subjected to on-probe protein/peptide extraction and tryptic digestion followed by AP-MALDI tandem MS (MS/MS)-based proteomic analysis. Amino acid sequences derived from three protonated peptides with m/z values of 1743.8, 1894.8, and 1946.8 were identified by AP-MALDI MS/MS and MASCOT proteome database search analysis as belonging to neisserial acyl carrier protein, neisserial-conserved hypothetical protein, and neisserial putative DNA binding protein, respectively. These three peptide masses can thus be potential biomarkers for neisserial species identification by AP-MALDI MS.     

Combination of Micropreparative Capillary Electrophoresis and Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry for Peptide Analysis

Signal suppression is a problem in matrix-assisted laser desorption/ionization mass spectrometry of peptides prepared by capillary electrophoresis. Many common electrolytes that are efficient for separation, such as sodium phosphate, also are strongly suppressive during laser desorption/ionization. We have tested individual electrolytes for highest performance in each step of separation and collection, respectively. Suppression is not observed if citrate, trifluoroacetic acid, or hydrochloric acid is used for collection, while phosphate still can be employed in the capillary providing excellent resolution. Low concentrations of hydrochloric acid added to the sample/matrix mixture generate mass spectra with better ion intensities than if trifluoroacetic acid or citrate is used.     

Rapid Identification and Typing of Listeria Species by Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry

Listeria monocytogenes is a food-borne pathogen that is the causative agent of human listeriosis, an opportunistic infection that primarily infects pregnant women and immunologically compromised individuals. Rapid, accurate discrimination between Listeria strains is essential for appropriate therapeutic management and timely intervention for infection control. A rapid method involving matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) that shows promise for identification of Listeria species and typing and even allows for differentiation at the level of clonal lineages among pathogenic strains of L. monocytogenes is presented. A total of 146 strains of different Listeria species and serotypes as well as clinical isolates were analyzed. The method was compared with the pulsed-field gel electrophoresis analysis of 48 Listeria strains comprising L. monocytogenes strains isolated from food-borne epidemics and sporadic cases, isolates representing different serotypes, and a number of Listeria strains whose genomes have been completely sequenced. Following a short inactivation/extraction procedure, cell material from a bacterial colony was deposited on a sample target, dried, overlaid with a matrix necessary for the MALDI process, and analyzed by MALDI-TOF MS. This technique examines the chemistry of major proteins, yielding profile spectra consisting of a series of peaks, a characteristic “fingerprint” mainly derived from ribosomal proteins. Specimens can be prepared in a few minutes from plate or liquid cultures, and a spectrum can be obtained within 1 minute. Mass spectra derived from Listeria isolates showed characteristic peaks, conserved at both the species and lineage levels. MALDI-TOF MS fingerprinting may have potential for Listeria identification and subtyping and may improve infection control measures.     

Rapid Communication: Neuropeptide Expression and Processing as Revealed by Direct Matrix-Assisted Laser Desorption Ionization Mass Spectrometry of Single Neurons

Abstract: Neuropeptides were directly detected in single identified neurons and the neurohemal area of peptidergic (neuroendocrine) systems in the Lymnaea brain by using matrix-assisted laser desorption ionization mass spectrometry (MALDI-MS). The samples were placed in matrix solution and ruptured to allow mixing of cell contents with the matrix solution. After formation of matrix crystals, the analytes were analyzed by MALDI-MS. It was surprising that clean mass spectra were produced, displaying extreme sensitivity of detection. In one of the neuroendocrine systems studied, we could demonstrate for the first time, by comparing the peptide patterns of soma and of neurohemal axon terminals, that processing of the complex prohormone expressed in this system occurs entirely in the soma. In the other system studied, novel peptides could be detected in addition to peptides previously identified by conventional molecular biological and peptide chemical methods. Thus, complex peptide processing and expression patterns could be predicted that were not detected in earlier studies using conventional methods. As the first MALDI- MS study of direct peptide fingerprinting in the single neuron these experients demonstrate that MALDI-MS forms a new and valuable approach to the study of the synthesis and expression of bioactive peptides, with potential application to single-cell studies in vertebrates, including humans.     

Identification of Tsetse (Glossina spp.) Using Matrix-Assisted Laser Desorption/Ionisation Time of Flight Mass Spectrometry

Glossina (G.) spp. (Diptera: Glossinidae), known as tsetse flies, are vectors of African trypanosomes that cause sleeping sickness in humans and nagana in domestic livestock. Knowledge on tsetse distribution and accurate species identification help identify potential vector intervention sites. Morphological species identification of tsetse is challenging and sometimes not accurate. The matrix-assisted laser desorption/ionisation time of flight mass spectrometry (MALDI TOF MS) technique, already standardised for microbial identification, could become a standard method for tsetse fly diagnostics. Therefore, a unique spectra reference database was created for five lab-reared species of riverine-, savannah- and forest- type tsetse flies and incorporated with the commercial Biotyper 3.0 database. The standard formic acid/acetonitrile extraction of male and female whole insects and their body parts (head, thorax, abdomen, wings and legs) was used to obtain the flies'' proteins. The computed composite correlation index and cluster analysis revealed the suitability of any tsetse body part for a rapid taxonomical identification. Phyloproteomic analysis revealed that the peak patterns of G. brevipalpis differed greatly from the other tsetse. This outcome was comparable to previous theories that they might be considered as a sister group to other tsetse spp. Freshly extracted samples were found to be matched at the species level. However, sex differentiation proved to be less reliable. Similarly processed samples of the common house fly Musca domestica (Diptera: Muscidae; strain: Lei) did not yield any match with the tsetse reference database. The inclusion of additional strains of morphologically defined wild caught flies of known origin and the availability of large-scale mass spectrometry data could facilitate rapid tsetse species identification in the future.     

Accurate Identification of Common Pathogenic Nocardia Species: Evaluation of a Multilocus Sequence Analysis Platform and Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry

Species identification of Nocardia is not straightforward due to rapidly evolving taxonomy, insufficient discriminatory power of conventional phenotypic methods and also of single gene locus analysis including 16S rRNA gene sequencing. Here we evaluated the ability of a 5-locus (16S rRNA, gyrB, secA1, hsp65 and rpoB) multilocus sequence analysis (MLSA) approach as well as that of matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) in comparison with sequencing of the 5’-end 606 bp partial 16S rRNA gene to provide identification of 25 clinical isolates of Nocardia. The 5’-end 606 bp 16S rRNA gene sequencing successfully assigned 24 of 25 (96%) clinical isolates to species level, namely Nocardia cyriacigeorgica (n = 12, 48%), N. farcinica (n = 9, 36%), N. abscessus (n = 2, 8%) and N. otitidiscaviarum (n = 1, 4%). MLSA showed concordance with 16S rRNA gene sequencing results for the same 24 isolates. However, MLSA was able to identify the remaining isolate as N. wallacei, and clustered N. cyriacigeorgica into three subgroups. None of the clinical isolates were correctly identified to the species level by MALDI-TOF MS analysis using the manufacturer-provided database. A small “in-house” spectral database was established incorporating spectra of five clinical isolates representing the five species identified in this study. After complementation with the “in-house” database, of the remaining 20 isolates, 19 (95%) were correctly identified to species level (score ≥ 2.00) and one (an N. abscessus strain) to genus level (score ≥ 1.70 and < 2.00). In summary, MLSA showed superior discriminatory power compared with the 5’-end 606 bp partial 16S rRNA gene sequencing for species identification of Nocardia. MALDI-TOF MS can provide rapid and accurate identification but is reliant on a robust mass spectra database.     

Analysis of Polymerase Chain Reaction-Amplified DNA Products by Mass Spectrometry Using Matrix-Assisted Laser Desorption and Electrospray: Current Status

Recent advances in molecular biology are making it possible to diagnose genetic diseases and identify pathogens through the analysis of DNA. As clinical applications for molecular diagnosis increase, rapid, reliable methods for determination of DNA size will be needed. Mass spectrometry offers the potential of analyzing amplified DNA quickly and reliably, without the need for gel-based separation and sample labeling steps that are conventionally employed. Both electrospray ionization and matrix-assisted laser desorption/ionization have been evaluated for the size analysis of DNA using both synthetic oligonucleotides and PCR-amplified samples corresponding to bases 1626 to 1701 of the cystic fibrosis transmembrane conductance regulator gene. Both technologies have been demonstrated to have mass range and sensitivity required for the analysis of PCR-amplified DNA in this size range using minimal sample preparation. Steps required to incorporate either ionization technique into a reliable analytical scheme for the rapid, routine analysis of DNA are outlined.     

Identification of Putative Biomarkers for Toluene-Degrading Burkholderia and Pseudomonads by Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry and Peptide Mass Fingerprinting

The use of peptide mass fingerprinting with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) was demonstrated to identify and phenotypically characterize toluene-degrading bacteria via biomarkers of degradation and taxonomical classification. Pseudomonas putida F1, P. mendocina KR1, and Burkholderia sp. JS150 were grown on toluene, extracted, electrophoretically separated, and analyzed by MALDI-TOF MS. Catabolic enzymes were identified and results substantiated using tandem MS.     

Analysis of the Saccharomyces Spindle Pole by Matrix-assisted Laser Desorption/Ionization (MALDI) Mass Spectrometry

A highly enriched spindle pole preparation was prepared from budding yeast and fractionated by SDS gel electrophoresis. Forty-five of the gel bands that appeared enriched in this fraction were analyzed by high-mass accuracy matrix-assisted laser desorption/ ionization (MALDI) peptide mass mapping combined with sequence database searching. This identified twelve of the known spindle pole components and an additional eleven gene products that had not previously been localized to the spindle pole. Immunoelectron microscopy localized eight of these components to different parts of the spindle. One of the gene products, Ndc80p, shows homology to human HEC protein (Chen, Y., D.J. Riley, P-L. Chen, and W-H. Lee. 1997. Mol. Cell Biol. 17:6049–6056) and temperature-sensitive mutants show defects in chromosome segregation. This is the first report of the identification of the components of a large cellular organelle by MALDI peptide mapping alone.     

Quantitative Protein Topography Analysis and High-Resolution Structure Prediction Using Hydroxyl Radical Labeling and Tandem-Ion Mass Spectrometry (MS)

Hydroxyl radical footprinting based MS for protein structure assessment has the goal of understanding ligand induced conformational changes and macromolecular interactions, for example, protein tertiary and quaternary structure, but the structural resolution provided by typical peptide-level quantification is limiting. In this work, we present experimental strategies using tandem-MS fragmentation to increase the spatial resolution of the technique to the single residue level to provide a high precision tool for molecular biophysics research. Overall, in this study we demonstrated an eightfold increase in structural resolution compared with peptide level assessments. In addition, to provide a quantitative analysis of residue based solvent accessibility and protein topography as a basis for high-resolution structure prediction; we illustrate strategies of data transformation using the relative reactivity of side chains as a normalization strategy and predict side-chain surface area from the footprinting data. We tested the methods by examination of Ca⁺²-calmodulin showing highly significant correlations between surface area and side-chain contact predictions for individual side chains and the crystal structure. Tandem ion based hydroxyl radical footprinting-MS provides quantitative high-resolution protein topology information in solution that can fill existing gaps in structure determination for large proteins and macromolecular complexes.Hydroxyl radical footprinting (HRF)¹ is valuable for assessing the structure of macromolecules. Single nucleotide resolution data enabled by the similar reactivity of the OH radical with each and every backbone position has helped solve important problems in the nucleic acids field, such as understanding RNA folding and ribosome assembly (1–5). Applications of HRF to probe protein structure are a subset of a family of structural MS approaches, including the use of reversible deuterium labeling or irreversible covalent labeling, including labeling with OH radicals (6–13). Hydrogen-deuterium exchange MS (HDX-MS) is particularly suited to measure secondary and tertiary structure stability through backbone exchange, whereas HRF-MS has been effective at measuring the relative solvent accessibility of specific amino acid side chains mediated by intramolecular tertiary and intermolecular quaternary structure interactions. Hydroxyl radicals can be generated by a variety of methods in each case the chemistry has been shown to be quite similar and the radicals react with side chains of surface residues resulting in well characterized oxidation products (7, 10, 11). As up to 18 side chains are potential probes, the overall protein coverage and resolution of the method is theoretically high.Both HDX-MS and HRF-MS utilize a “bottom-up” proteomics approach where proteins are digested to peptide states after labeling, and mass shifts of the resultant peptides are read-out to pinpoint sites of conformational change. Although this usually can provide 90% or more coverage across the entire protein length, in fact the structural resolution is limited as the size of the peptide fragments and the data report the average behavior of the individual residues across the entire peptide, which are typically in the range of five–20 residues (14). MS2 based quantification is in principle a general solution to the problem of increasing structural resolution, and has been attempted for HDX-MS, but the scrambling of the labels in the gas phase has been difficult to overcome using collision induced dissociation (15, 16). Alternative approaches for HDX-MS site localization, like electron transfer dissociation to achieve single residue resolution have potential promise but are typically limited to larger peptides that can access higher charge states easily (17, 18). MS2 strategies to enhance the resolution for covalent labeling experiments have been attempted with some success, as scrambling is not a limitation in covalent labeling experiments (7, 19–21). On the other hand, MS1 based strategies to enhance structural resolution for both HDX and covalent labeling approaches using overlapping protease fragments are also a promising route to providing subpeptide resolution in many cases (7, 20–27).In this work, we present a coupled set of high-throughput experimental and computational approaches to extend previous MS2 based HRF-MS strategies and provide a quantitative topographical structure assessment for proteins at the individual side chain level. The combined approach permits quantification of modifications through examination of a tandem-ion based ladder of peptide fragments and combining the ion abundances from both MS1 and MS2 quantification. The high-resolution information is transformed using the knowledge of the relative reactivity of side chains to predict side-chain surface area for the structurally well-characterized Ca²⁺ bound form of Calmodulin (CaM). In addition, we explored a statistical approach using random forest regression methods to predict solvent accessible surface area at the residue level. Overall, these studies provide a novel approach to provide high-resolution single-residue surface accessibility data with at least eightfold higher spatial resolution than peptide based measures for accurate protein topography predictions.     

Identification of Low Molecular Weight Glutenin Alleles by Matrix-Assisted Laser Desorption/Ionization Time-Of-Flight Mass Spectrometry (MALDI-TOF-MS) in Common Wheat (Triticum aestivum L.)

Low molecular weight glutenin subunits (LMW-GS) play an important role in determining dough properties and breadmaking quality. However, resolution of the currently used methodologies for analyzing LMW-GS is rather low which prevents an efficient use of genetic variations associated with these alleles in wheat breeding. The aim of the current study is to evaluate and develop a rapid, simple, and accurate method to differentiate LMW-GS alleles using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. A set of standard single LMW-GS allele lines as well as a suite of well documented wheat cultivars were collected from France, CIMMYT, and Canada. Method development and optimization were focused on protein extraction procedures and MALDI-TOF instrument settings to generate reproducible diagnostic spectrum peak profiles for each of the known wheat LMW-GS allele. Results revealed a total of 48 unique allele combinations among the studied genotypes. Characteristic MALDI-TOF peak patterns were obtained for 17 common LMW-GS alleles, including 5 (b, a or c, d, e, f), 7 (a, b, c, d or i, f, g, h) and 5 (a, b, c, d, f) patterns or alleles for the Glu-A3, Glu-B3, and Glu-D3 loci, respectively. In addition, some reproducible MALDI-TOF peak patterns were also obtained that did not match with any known alleles. The results demonstrated a high resolution and throughput nature of MALDI-TOF technology in analyzing LMW-GS alleles, which is suitable for application in wheat breeding programs in processing a large number of wheat lines with high accuracy in limited time. It also suggested that the variation of LMW-GS alleles is more abundant than what has been defined by the current nomenclature system that is mainly based on SDS-PAGE system. The MALDI-TOF technology is useful to differentiate these variations. An international joint effort may be needed to assign allele symbols to these newly identified alleles and determine their effects on end-product quality attributes.     

Identification of Proteins by Matrix-Assisted Laser Desorption Ionization–Mass Spectrometry Following In-Gel Digestion in Low-Salt, Nonvolatile Buffer and Simplified Peptide Recovery

Matrix-assisted laser desorption ionization–mass spectrometry is an efficient analytical method for large-scale identification of proteins separated by two-dimensional polyacrylamide gel electrophoresis. Following in-gel digestion, the salt present in the peptide extracts is usually removed by chromatography prior to analysis. Desalting is a labor-intensive and time-consuming step, limiting the total number of samples that can be processed daily. We improved the daily sample output by performing the in-gel protein digestion in low-salt, nonvolatile buffer and simplifying the recovery of the generated peptides, collecting them in a small volume by sonication. This technique is routinely used for identification of proteins ofHaemophilus influenzaeand human brain. The methodology described facilitates the analytical process and allows the analysis of hundreds of proteins per day. Furthermore, it represents an essential step toward process automation.     

Investigations on Aberrant Glycosylation of Glycosphingolipids in Colorectal Cancer Tissues Using Liquid Chromatography and Matrix-Assisted Laser Desorption Time-of-Flight Mass Spectrometry (MALDI-TOF-MS)

Cancer is a leading cause of death and alterations of glycosylation are characteristic features of malignant cells. Colorectal cancer is one of the most common cancers and its exact causes and biology are not yet well understood. Here, we compared glycosylation profiles of colorectal tumor tissues and corresponding control tissues of 13 colorectal cancer patients to contribute to the understanding of this cancer. Using MALDI-TOF(/TOF)-MS and 2-dimensional LC-MS/MS we characterized enzymatically released and 2-aminobenzoic acid labeled glycans from glycosphingolipids. Multivariate data analysis revealed significant differences between tumor and corresponding control tissues. Main discriminators were obtained, which represent the overall alteration in glycosylation of glycosphingolipids during colorectal cancer progression, and these were found to be characterized by (1) increased fucosylation, (2) decreased acetylation, (3) decreased sulfation, (4) reduced expression of globo-type glycans, as well as (5) disialyl gangliosides. The findings of our current research confirm former reports, and in addition expand the knowledge of glycosphingolipid glycosylation in colorectal cancer by revealing new glycans with discriminative power and characteristic, cancer-associated glycosylation alterations. The obtained discriminating glycans can contribute to progress the discovery of biomarkers to improve diagnostics and patient treatment.Worldwide, cancer is a leading cause of death. With estimated 1.2 million diagnoses in 2008, colorectal cancer is the third most common cancer in the world and the fourth most common cause of death with an annual mortality of ∼600 000 (1). The exact causes of colorectal cancer are unknown, but different risk factors such as age, polyps, personal and family history, ulcerative colitis, or Crohn''s colitis have been proposed (2). Standard screening procedures include flexible sigmoidoscopy, colonoscopy, and immunological fecal occult blood testing. Each of them has its advantages and drawbacks such as invasiveness or low sensitivity and specificity (3). The method of choice for the treatment of colorectal cancer is surgery and therapeutic decisions are based on the tumor, lymph node, and metastasis staging-system as a prognostic factor (4). Current research has led to improved treatment strategies of colorectal cancer, however, the clinical outcome, the progression of the disease, and the response to the treatment remain variable among individuals. The heterogeneity of colorectal cancer at the molecular level—caused by accumulation of multiple genetic changes—may be one of the main reasons for this variability (5). Genetic factors such as instabilities, but also expression levels (6) can explain part of the cancer biology, but glycomics is gaining importance to complement the overall picture as aberrant glycosylation of proteins and lipids has been shown to be correlated with disease and malignancy (7, 8).Glycosylation is involved in many biological processes and especially its functional role in cellular interaction with respect to adhesion, cell growth, and signaling is prone to be affected in cancer progression, invasion, and metastasis (9). Several cancer-associated alterations in protein glycosylation have been reported: (1) increased branching of N-glycans, (2) higher density of O-glycans, and (3) incomplete synthesis of glycans. More particularly, an increased or induced expression of GlcNAc transferase V resulting in N-glycan structures with β1–6GlcNAc antennae (5, 10), and the expression of (sialyl) Tn-antigens (11) as aberrant O-glycosylation have been reported (10).Altered glycosphingolipid (GSL)¹ glycosylation of the cell surface membrane during malignancy can affect cell recognition, adhesion, and signal transduction (12) and is found to reflect: (1) incomplete synthesis with or without precursor accumulation, (2) neosynthesis (9), (3) increased sialylation, and (4) increased fucosylation (13). In many cancers, including colorectal cancer, an overexpression of the (sialyl) Lewis X antigen (10, 14) and the expression of (sialyl) Lewis A (15) are considered to be related to malignant transformation—reflecting incomplete synthesis of sialyl 6-sulfo Lewis X and disialyl Lewis A (16) as well as neosynthesis (17). Studies on gangliosides showed an overexpression of these sialylated GSLs in human malignant melanoma (18). Furthermore, the involvement of gangliosides in cell adhesion and motility was reported, which contributes to tumor metastasis (19). Specifically, the gangliosides GD3 (Hex2NeuAc2ceramide) and GM2 (Hex2HexNAc1NeuAc1ceramide) have been found to be associated with tumor-angiogenesis (19). The up-regulation of fucosyltransferases in cancer was shown to cause a higher degree of fucosylation in malignant tissues (20) and Moriwaki et al. proposed that the increase in the fucosylation for GSLs was an early event in cancer (21). Misonou et al. investigated glycans derived from GSLs in colorectal cancer tissues showing aberrant glycan structures based on linkage differences as well as increased sialylation and fucosylation compared with control tissue (22), which is in line with observed changes in GSL glycosylation with regard to cancer progression (9, 13).Recently, we investigated the N-glycosylation profiles of colorectal tumors and correlating control tissues for biomarker discovery. Statistical analyses revealed an increase of sulfated glycan structures as well as paucimannosidic glycans and glycans containing sialylated Lewis type epitopes in the tumor tissue, whereas structures with bisecting GlcNAc were found to be decreased in malignancy (23). To further progress the understanding of colorectal cancer biology and the improvement of diagnostic tools and patient treatment, we complemented this recent study on N-glycosylation by an investigation of the glycosphingolipid-derived glycans (named GSL-glycans in the following) from frozen tumor tissues and corresponding control tissues from the same 13 colorectal cancer patients. GSL-glycans were enzymatically released, labeled with 2-aminobenzoic acid (AA) and analyzed by hydrophilic interaction liquid chromatography (HILIC) with fluorescence detection as well as matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS). Employing multivariate statistical analysis, this approach revealed an intricate GSL-glycosylation pattern of tumor tissues and specific glycosylation differences in comparison to the corresponding control tissue.     

Matrix-assisted Laser Desorption/Ionization Time of Flight (MALDI-TOF) Mass Spectrometric Analysis of Intact Proteins Larger than 100 kDa

Effectively determining masses of proteins is critical to many biological studies (e.g. for structural biology investigations). Accurate mass determination allows one to evaluate the correctness of protein primary sequences, the presence of mutations and/or post-translational modifications, the possible protein degradation, the sample homogeneity, and the degree of isotope incorporation in case of labelling (e.g. ¹³C labelling).Electrospray ionisation (ESI) mass spectrometry (MS) is widely used for mass determination of denatured proteins, but its efficiency is affected by the composition of the sample buffer. In particular, the presence of salts, detergents, and contaminants severely undermines the effectiveness of protein analysis by ESI-MS. Matrix-assisted laser desorption/ionization (MALDI) MS is an attractive alternative, due to its salt tolerance and the simplicity of data acquisition and interpretation. Moreover, the mass determination of large heterogeneous proteins (bigger than 100 kDa) is easier by MALDI-MS due to the absence of overlapping high charge state distributions which are present in ESI spectra.Here we present an accessible approach for analysing proteins larger than 100 kDa by MALDI-time of flight (TOF). We illustrate the advantages of using a mixture of two matrices (i.e. 2,5-dihydroxybenzoic acid and α-cyano-4-hydroxycinnamic acid) and the utility of the thin layer method as approach for sample deposition. We also discuss the critical role of the matrix and solvent purity, of the standards used for calibration, of the laser energy, and of the acquisition time. Overall, we provide information necessary to a novice for analysing intact proteins larger than 100 kDa by MALDI-MS.     

Genetic and Ecological Correlates of Intraspecific Variation in Pitviper Venom Composition Detected Using Matrix-Assisted Laser Desorption Time-of-Flight Mass Spectrometry (MALDI-TOF-MS) and Isoelectric Focusing

The ability to detect biochemical diversity in animal venoms has wide-ranging implications for a diverse array of scientific disciplines. Matrix-assisted laser desorption time-of-flight mass spectrometry (and, for comparative purposes, isoelectric focusing) were used to characterize venoms from a geographically diverse sample of Trimeresurus stejnegeri ( n < 229) from Taiwan. Previously unrealized levels of heterogeneity were detected in venom phospholipase A(2) isoforms (PLA(2)) and in whole venom profiles. Geographic variation in venom was primarily between Taiwan and two Pacific islets. Despite the common assumption that venom variation is a product of neutral molecular evolution, statistical testing failed to link venom variation with phylogenetic descent convincingly. Instead, pronounced differences in venom composition may be the product of natural selection for regional diets or of independent founder effects. More data are required on the functional differences between the isoforms to distinguish between these alternatives.