200 research outputs found

    Optimized GeLC-MS/MS for Bottom-Up Proteomics

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    Despite tremendous advances in mass spectrometry instrumentation and mass spectrometry-based methodologies, global protein profiling of organellar, cellular, tissue and body fluid proteomes in different organisms remains a challenging task due to the complexity of the samples and the wide dynamic range of protein concentrations. In addition, large amounts of produced data make result exploitation difficult. To overcome these issues, further advances in sample preparation, mass spectrometry instrumentation as well as data processing and data analysis are required. The presented study focuses as first on the improvement of the proteolytic digestion of proteins in in-gel based proteomic approach (Gel-LCMS). To this end commonly used bovine trypsin (BT) was modified with oligosaccharides in order to overcome its main disadvantages, such as weak thermostability and fast autolysis at basic pH. Glycosylated trypsin derivates maintained their cleavage specifity and showed better thermostability, autolysis resistance and less autolytic background than unmodified BT. In line with the “accelerated digestion protocol” (ADP) previously established in our laboratory modified enzymes were tested in in-gel digestion of proteins. Kinetics of in-gel digestion was studied by MALDI TOF mass spectrometry using 18O-labeled peptides as internal standards as well as by label-free quantification approach, which utilizes intensities of peptide ions detected by nanoLC-MS/MS. In the performed kinetic study the effect of temperature, enzyme concentration and digestion time on the yield of digestion products was characterized. The obtained results showed that in-gel digestion of proteins by glycosylated trypsin conjugates was less efficient compared to the conventional digestion (CD) and achieved maximal 50 to 70% of CD yield, suggesting that the attached sugar molecules limit free diffusion of the modified trypsins into the polyacrylamide gel pores. Nevertheless, these thermostable and autolysis resistant enzymes can be regarded as promising candidates for gel-free shotgun approach. To address the reliability issue of proteomic data I further focused on protein identifications with borderline statistical confidence produced by database searching. These hits are typically produced by matching a few marginal quality MS/MS spectra to database peptide sequences and represent a significant bottleneck in proteomics. A method was developed for rapid validation of borderline hits, which takes advantage of the independent interpretation of the acquired tandem mass spectra by de novo sequencing software PepNovo followed by mass-spectrometry driven BLAST (MS BLAST) sequence similarity searching that utilize all partially accurate, degenerate and redundant proposed peptide sequences. It was demonstrated that a combination of MASCOT software, de novo sequencing software PepNovo and MS BLAST, bundled by a simple scripted interface, enabled rapid and efficient validation of a large number of borderline hits, produced by matching of one or two MS/MS spectra with marginal statistical significance

    Development of On-Tissue Mass Spectrometric Strategies for Protein Identification, Quantification and Mapping

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    Résumé : L’imagerie par spectrométrie de masse est une technique sans marquage permettant la détection et la localisation de protéines à partir de coupes de tissus. Afin de répondre à des problématiques biologiques, le nombre de protéines identifiées doit être amélioré. Une stratégie consiste à réaliser une micro-jonction liquide sur des régions particulières des coupes de tissus afin d’extraire les peptides issus de la digestion in situ des protéines. Plus de 1500 protéines ont identifié sur une zone de 650µm, correspondant à environ 1900 cellules. Une corrélation entre ces données avec celles générées par MSI a augmenté le nombre de protéines localisées. Afin d’obtenir dans le même temps, la localisation et l’identification de protéines, une méthode consiste à réaliser la microdissection de l’ensemble de la coupe après l’avoir déposée sur une lame recouverte de prafilm. Parafilm-Assisted Microdissection (PAM) a également été appliquée à l’étude de l'expression différentielle de protéines dans des tumeurs de prostate. Les résultats identifiés glutamate oxaloacétate transférase 2 (GOT2) en tant que biomarqueur de protéine candidate impliquée dans le métabolisme du glucose, en plus de celles qui ont déjà été indiqué précédemment. Réunis ensemble, ces méthodes MS d'analyses directes fournissent un moyen robuste d’étude de protéines dans leur état natif afin de fournir des indications sur leur rôle dans des systèmes biologiques. // Abstract : Mass spectrometry-based methods for direct tissue analysis, such as MS imaging, are label-free techniques that permit the detection and localization of proteins on tissue sections. There is a need to improve the number of protein identifications in these techniques for them to comprehensively address biological questions. One strategy to obtain high protein IDs is to realize liquid microjunction on localized regions of tissue sections to extract peptides from the in situ digestion of proteins. More than 1500 proteins were identified in a 650μm spot, corresponding to about 1900 cells. Matching these IDs with those from MSI increased the number of localized proteins. In order to achieve simultaneous identification and localization of proteins, a method consisting of microdissecting entire tissue sections mounted on parafilmcovered slides was developed. Spectral counting was then used to quantify identified proteins, and the values were used to generate images. Parafilm-Assisted Microdissection (PAM) was also used to examine the differential expression of proteins on prostate tumors. Results identified glutamate oxaloacetate transferase 2 (GOT2) as a candidate protein biomarker involved in glucose metabolism, in addition to those that have already been reported previously. Taken together, these direct MS analysis methods provide a robust means of analyzing proteins in their native state and are expected to provide insights to their role in biological systems

    High accuracy mass spectrometric peptide identification as a discovery tool in proteomics

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    Biomarker discovery for cervical cancer

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    Proteomics of human boy fluids is still in its early stage of development with major methodological challenges ahead. This implies that much attention is given to improving the methods and strategies. One major challenge is that many samples that have been acquired in the past may not fulfill the stringent requirements of storage and sample preparation to allow comparable proteomics analyses. It is therefore important to assess the factors that may affect the final proteomics result through systematic and reproducible analyses. Therefore accuracy and sensitivity of the analytical instrumentation is not the only critical factor in this research. Blood (plasma or serum) and urine can be easily sampled from patients or healthy volunteers and are therefore often the first choice when trying to discover novel biomarkers or biomarker patterns to diagnose cancer and other diseases. There are, however, drawbacks such as the masking of low-abundance by high abundance proteins and the possible effect of sampling and sample handling procedures (e.g. different times for blood clotting). A number of different approaches to deplete highly abundant proteins from human serum were studied throughout this thesis. Further, different analytical techniques were applied, such as a miniaturized, microfluidics-based LC-MS system (chip-LC-MS) to enhance overall sensitivity. It is shown that chip-LC-MS has at least twice the resolution of the previously used standard capillary LC-MS method. Since blood composition will change under the influence of external factors, the influence of clotting time on proteome of serum was studied. It was found that most proteins were not affected by clotting time except for those directly involved in this process, such as the fibrinopeptides. Next, we describe a more comprehensive approach for evaluating the influence of various pre-analytical parameters on the serum proteome. A factorial design strategy was applied to assess the importance of seven factors considered to be of relevance, including the level of hemolysis, the digestion conditions, and the storage conditions. Finally, we analyzed serum samples from cervical cancer patients at various stages of disease before and after treatment followed by data processing and statistical data analysis. While we did not discover major changes in the serum proteome using this method, subtle changes in the protein composition were observed in relation to treatment, the significance of which are being further investigated. It is thus demonstrated that the described methods are applicable to highly complex body fluids such as serum and that further studies into the relevance of the discovered changes of the serum proteome are warranted.

    Applications of ion mobility spectrometry, collision-induced dissociation and electron activated dissociation tandem mass spectrometry to structural analysis of proteins, glycoproteins and glycans

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    This dissertation mainly focuses on analytical method development for characterization of proteins, glycoproteins and glycans using the recently developed ion mobility spectrometry (IMS) techniques and various electron activated dissociation (ExD) tandem mass spectrometry methods. IMS and ExD have become important techniques in structure analysis of biomolecules. IMS is a gas-phase separation method orthogonal to liquid chromatography (LC) fractionation. ExD is capable of producing a large number of structurally informative fragment ions for elucidation of structural details, complementary to collision-induced dissociation (CID). We first applied the selected accumulation-trapped IMS (SA-TIMS)-electronic excitation dissociation (EED) method to analyze various mixtures of glycan isomers. Glycan linkage isomers with linear or branched structure were successfully separated and subsequently identified. Theoretical modeling was also performed to gain a better understanding of isomer separation. The calculated collisional cross section (CCS) values match well with the experimentally measured ones, and suggested that the choice of metal charge carrier and charge state is critical for successful IMS separation of isomeric glycans. In addition, a SA-TIMS-electron capture dissociation (ECD) approach was employed to study gas-phase protein conformation, as the ECD fragmentation pattern is influenced by both the charge distribution and the presence of various non-covalent interactions. We demonstrated that different conformations of protein ions in a single charge state could produce distinct fragmentation pattern, presumably because of their differences in tertiary structures and/or proton locations. The second part describes characterization of glycoproteins using LC-hot ECD. To improve the cleavage coverage of glycopeptides, hot ECD, a fragmentation method utilizing the irradiation of high-energy electrons, was optimized for both middle-down and bottom-up analyses of glycopeptides, including peptides with multiple glycosylation sites. Hot ECD was shown to be an effective fragmentation technique for sequencing of glycopeptides, even for ions in lower charge states. In addition, the online LC-hot ECD approach was applied to characterize extensively modified glycoproteins from biological sources in which all glycosylation sites could be unambiguously determined. This study expands the applications of IMS, CID and ExD to structural analysis of various biomolecules, and explores the analytical potential of combining them for investigation of complex biological systems, in particular, enzyme mechanisms

    Development of ultrahigh resolution FTICR mass spectrometry methods for clinical proteomics

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    Fourier transform ion cyclotron resonance (FTICR) MS provides (a) ultrahigh mass resolving power that allows the analysis of large proteins and complex mixtures; (b) ultrahigh mass measurement accuracy and precision that allow a more reliable identification of the detected species; (c) a wide dynamic range that is favourable for the detection of low abundant components. Despite these excellent characteristics, MALDI-FTICR MS has been rarely used for peptide and protein profiling of large cohorts of samples. In this thesis, the development and application of novel MALDI-FTICR-MS methods for high-throughput analysis of human serum peptides and proteins is described. Due to the large biological variability of human serum, the analysis of a large cohort is needed to obtain reliable statistical results.UBL - phd migration 201

    High-throughput proteogenomics of Ruegeria pomeroyi: seeding a better genomic annotation for the whole marine Roseobacter clade

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    <p>Abstract</p> <p>Background</p> <p>The structural and functional annotation of genomes is now heavily based on data obtained using automated pipeline systems. The key for an accurate structural annotation consists of blending similarities between closely related genomes with biochemical evidence of the genome interpretation. In this work we applied high-throughput proteogenomics to <it>Ruegeria pomeroyi</it>, a member of the <it>Roseobacter </it>clade, an abundant group of marine bacteria, as a seed for the annotation of the whole clade.</p> <p>Results</p> <p>A large dataset of peptides from <it>R. pomeroyi </it>was obtained after searching over 1.1 million MS/MS spectra against a six-frame translated genome database. We identified 2006 polypeptides, of which thirty-four were encoded by open reading frames (ORFs) that had not previously been annotated. From the pool of 'one-hit-wonders', <it>i.e</it>. those ORFs specified by only one peptide detected by tandem mass spectrometry, we could confirm the probable existence of five additional new genes after proving that the corresponding RNAs were transcribed. We also identified the most-N-terminal peptide of 486 polypeptides, of which sixty-four had originally been wrongly annotated.</p> <p>Conclusions</p> <p>By extending these re-annotations to the other thirty-six <it>Roseobacter </it>isolates sequenced to date (twenty different genera), we propose the correction of the assigned start codons of 1082 homologous genes in the clade. In addition, we also report the presence of novel genes within operons encoding determinants of the important tricarboxylic acid cycle, a feature that seems to be characteristic of some <it>Roseobacter </it>genomes. The detection of their corresponding products in large amounts raises the question of their function. Their discoveries point to a possible theory for protein evolution that will rely on high expression of orphans in bacteria: their putative poor efficiency could be counterbalanced by a higher level of expression. Our proteogenomic analysis will increase the reliability of the future annotation of marine bacterial genomes.</p

    Development Of Inlet And Vacuum Ionization Methods For Characterization Of Biological Materials By Mass Spectrometry

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    Inlet ionization and vacuum ionization are novel ionization methods to produce electrospray ionization (ESI)-like ions from the solid or liquid states, operating from atmospheric pressure (AP) or vacuum, without the use of voltage or the necessity of high energy input such as a laser or particle beam. The fundamental aspects were probed for better understanding of the novel ionization processes. Initial applications were attempted to utilize the novel ionization methods for fast, robust, and quantitative analyses. For inlet ionizations (laserspray ionization inlet, LSII; matrix assisted ionization inlet, MAII; and solvent assisted ionization inlet, SAII), small (e.g. drugs) to large (e.g. proteins) non-volatile molecules are ionized with the assistance of heat and pressure drop, and are operated from AP. The ease of operation, rapidness of data acquisition, and simplicity of coupling with other techniques achieved by SAII, have enabled the inlet ionization for high throughput multiplexing analyses, hyphenation with liquid chromatography (especially at low flow rates), and fast surface assessment and drug quantifications. LSII has been utilized together with solvent-free sample preparation and solvent-free gas-phase separation for total solvent-free analysis. The production of multiply charged ions from solid states by vacuum ionization was utilized to encompass the advantages from ESI and matrix-assisted laser desorption/ionization (MALDI), for better characterization from surfaces and extending the mass range of high performance mass spectrometers. Operating from AP provides the potential for vacuum ionization to be applied in high throughput analysis. The continuous ion formation also benefits matrix assisted ionization vacuum (MAIV) for drug quantification with better reproducibility
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