La bactérie à Gram-négatif Pseudomonas aeruginosa est un pathogène humain opportuniste qui peut causer des infections chroniques pouvant conduire à la mort des patients, et plus particulièrement ceux atteints de la mucoviscidose. Il a été montré qu‘un de ses trois systèmes de sécrétion de type VI (SST6) est actif durant les infections chroniques, le SST6-H1. P. aeruginosa est capable d'injecter des toxines de type bactériolytique directement dans le périplasme des autres bactéries à Gram-négatif grâce au SST6-H1, ce qui laisse penser que cette nanomachine pourrait être capitale dans la compétitivité de P. aeruginosa dans les niches polymicrobiennes, comme par exemple un poumon infecté. Cette nanomachine insérée dans l'enveloppe bactérienne est régulée au niveau post-traductionnel par une voie de phosphorylation ressemblant à celles des eucaryotes. Cette voie est constituée par une kinase, PpkA, et une phosphatase, PppA, qui modulent ensemble le niveau de phosphorylation de la protéine Fha1. Nous avons démontré que quatre protéines spécifiques de Pseudomonas appelées TagT, TagS, TagR et TagQ, agissent en amont du couple PpkA/PppA, et sont indispensables pour l'activation du SST6-H1. De plus, elles sont aussi nécessaires lors de compétitions entre P. aeruginosa et d'autres bactéries. Nous avons montré que TagR, connue comme étant une protéine périplasmique, est en fait associée à la membrane externe et cette localisation dépend de TagQ, une lipoprotéine ancrée dans le feuillet interne de la membrane externe. TagT et TagS forment un transporteur de type ABC qui a une activité d'ATPase. L'association de TagR à la membrane externe a été mise en évidence par des études de protéomique à haut débit qui avaient pour but la caractérisation des membranes externe et interne de P. aeruginosa. Grâce à l'analyse des résultats, unmodèle de l'assemblage du SST6-H1 au sein de l'enveloppe a pu être proposé. Ce travail a permis l'identification de plus de 1700 protéines, parmi elles un complexe multi-protéique incluant MagD, une protéine homologue à la macroglobuline humaine. Les résultats obtenus lors de la caractérisation de ce complexe sont aussi présentés dans ce manuscrit. / Pseudomonas aeruginosa is a human opportunistic pathogen that can cause severe infections and death in chronically infected cystic fibrosis (CF) patients. It has been shown that one of its three Type VI Secretion Systems (T6SS), the H1-T6SS, is active during chronic infections in CF patients. P. aeruginosa injects bacteriolytic toxins directly into other Gram-negative bacteria by means of its H1-T6SS, which could be of high importance in its outcome in complex niches such as an infected lung. This trans-envelope nanomachine is posttranslationally regulated by a eukaryotic-like phosphorylation pathway, which includes a kinase-phosphatase pair, PpkA and PppA, respectively. In this work, TagT, TagS, TagR and TagQ, Pseudomonas specific T6SS proteins that are encoded in the same operon as Ppka, PppA and Fha1, were analysed functionally and biochemically. We found that these four proteins are indispensable for the activation of H1-T6SS, by acting upstream of the phosphorylation checkpoint. Moreover, they were also needed for intra- and inter-species fitness mediated by H1-T6SS. We discovered that TagR, a periplasmic protein, associates with the outer membrane (OM) of P. aeruginosa in a TagQ-dependent manner. TagQ is an OM lipoprotein that faces the periplasm. TagT and TagS form a membrane-bound complex, an ABC transporter, with ATPase activity. TagR association with the OM was discovered by shotgun mass spectrometry analyses of the OM and the inner membrane (IM) of P. aeruginosa. In this work, the IM and OM sub-proteomes of P. aeruginosa are also presented, with highlights on T6SS global assembly. Moreover, these two sub-proteomes allowed the identification of a novel envelope-associated complex with macroglobulin-like protein, MagD. The studies concerning this protein and its partners in P. aeruginosa are also presented in this manuscript.

O material lignocelulósico, presente na biomassa vegetal, representa uma importante fonte de energia, entretanto necessita da ação das enzimas lignocelulolíticas para sua degradação. A busca por novas enzimas que atuam na quebra da parede celular da planta em comunidades microbianas evoluídas naturalmente em um ambiente de degradação de biomassa como o rúmen oferece uma estratégia promissora para a prospecção de genes. Com isso, o projeto teve como objetivo a identificação de genes degradarores de biomassa vegetal em microrganismos do rúmen de ovinos usando a abordagem metagenômica. Para tanto, foram coletadas amostras da fase sólida do rúmen de 6 animais fistulados (Ovis aries) divididos em dois grupos e submetidos a duas dietas por 60 dias: tratamento controle e tratamento com dieta contendo bagaço de cana-de-açúcar. O DNA metagenômico total das amostras foi extraído e sequenciado na plataforma MiSeq Personal Sequencer (Illumina®). A análise dos dados para a anotação taxônomica e funcional foi realizada no software MG-RAST. A caracterização dos genes degradadores de biomassa vegetal foi feita na plataforma CLC Genomic Workbench v.5.5.1(CLC Bio, Denmark) e a anotação de 4,68 gigabases de dados foi feita no banco de dados CAZy. A análise taxonômica mostrou uma predominância do domínio Bacteria compondo mais de 96% de todas as amostras, sendo os filos mais abundantes Bacteroidetes, Firmicutes, seguido de Proteobacteria. Entre todos os filos anotados, cinco tiveram a abundância aumentada no tratamento com adição de bagaço de cana-de-açúcar na dieta, Firmicutes, Proteobacteria, Actinobacteria, Spirochaetes e Verrucomicrobia, e dois filos foram mais abundantes no tratamento controle, Bacteroidetes e Synergistetes. De modo geral, a análise de ordenação não mostrou correlação entre a composição do microbioma e o tipo de dieta, porém, na análise funcional, essa correlação foi observada uma vez que houve separação entre os tratamentos. A abundância relativa das famílias de enzimas relacionadas à degradação de carboidratos segue um padrão similar em todas as amostras metagenômicas. O módulo catalítico da família de Glycoside Hydrolases (GH), o qual foi anotado em 129 subfamílias diferentes, foi o mais abundante em todas as amostras (45,5%), seguido da família GT (Glicosyl Tranferase), anotada em 97 subfamílias diferentes e CBM (Carbohydrete-Bining Module), em 78 subfamílias. A montagem do metagenoma resultou em aproximadamente 110.000 contigs e possibilitou a identificação de 15 diferentes genes completos codificados nas subfamílias GH1, GH2, GH3, GH16, GH20, GH25, GH32, GH97 e GH127. A análise comparativa dos diferentes tratamentos mostrou uma maior abundância dessas enzimas no rúmen dos animais alimentados com a dieta enriquecida com bagaço de cana-de-açúcar. Em conclusão, a manipulação da dieta de ovinos por meio da substituição de parte da fração fibrosa da dieta por bagaço de cana-de-açúcar promove o enriquecimento de enzimas que degradam a biomassa vegetal no rúmem, favorecendo a prospecção e identificação de genes ativos em carboidratos. / The lignocellulose present in the plant biomass is a promising source of energy generation. However, the breakdown of plant biomass into simple sugars for bioethanol production is still inefficient and costly due to the recalcitrant nature of the plant fiber. The sheep rumen microbiome is specialized in degradation of plant material, but most members of this complex community are uncultured in the laboratory. Therefore, the search for new lignocellulolytic enzymes in microbial communities naturally evolved in biomass degradation environments, such as the rumen, using the exploration of the metagenome, is a promising strategy for identifying new genes. In this context, this study aimed to prospect plant biomass-degrading genes, selected from the sheep rumen microorganisms. The rumen samples were collected from 6 fistulated animals (Ovis aries), divided into two groups and subjected to two diets: control treatment and a treatment with a diet amended with sugarcane bagasse. The animals were fed for 60 days before sampling. To characterize the composition and functions of the rumen microbiome followed by the search of biomass-degrading genes, the metagenomic DNA was extracted from the solid contents of rumen and sequenced in MiSeq Personal Sequencer platform (Illumina®). The taxonomic and functional data were performed using MG-RAST software. For the characterization of the plant biomass degrading genes, they were analyzed on the CLC platform Genomic Workbench v.5.5.1 (CLC Bio, Denmark) and 4.68 gigabases of data was annotated against the CAZy database. The taxonomic analysis showed a predominance of the Bacteria domain composing more than 96% of all the samples, being the most abundant phyla Bacterioidetes, Firmiutes, followed by Proteobacteria. Five bacterial phyla were significantly more abundant in the treatment were sugarcane bagasse was added, Firmicutes, Proteobacteria, Actinobacteria, Spirochaetes and Verrucomicrobia, and two phyla were more abundant in the control treatment, Bacteroidetes and Synergistetes. In general, the ordination analysis did not show correlation between diet type and rumen microbiota, but in the functional analysis, this correlation was observed since there was separation between the treatments. The relative abundance of enzyme families related to carbohydrate degradation follows a similar pattern of abundance across all metagenomic samples. The catalytic module of the GH (Glycoside Hydrolases) family, which was annotated in 129 different subfamilies, was the most abundant in all samples (45.5%), followed by the GT family (Glycosyltransferase), annotated in 97 different subfamilies and CBM (Carbohydre-Bining Module) in 78 sub-families. Metagenome assembly resulted in ~110,000 contigs enabled the retrieval of 15 complete different genes encoded in the subfamilies GH1, GH2, GH3, GH16, GH20, GH25, GH32, GH97 and GH127. A comparative analysis between the groups of animals in the different treatments showed a greater abundance of enzymes, with no metagenome of the fiber proven from the group of animals fed a diet enriched with sugarcane bagasse. These results show the sheep rumen microbiome as an untapped source of potential new fibrolytic enzymes. Using a diet amended with sugarcane bagasse increases the abundance of CAE and provide a substantially expanded catalog of genes participating in the deconstruction of plant biomass.

L’avènement du séquençage métagénomique aléatoire a révolutionné la microbiologie en permettant la caractérisation sans culture préalable de communautés microbiennes complexes telles que le microbiote intestinal humain. Des outils bioinformatiques récemment développés atteignent une résolution au niveau de la souche en recensant des gènes accessoires ou en capturant des variants nucléotidiques (SNPs). Toutefois, ces outils sont limités par l’étendue des génomes de référence disponibles qui sont loin de couvrir toute la variabilité microbienne. En effet, de nombreuses espèces n’ont pas encore été séquencées ou sont représentées par seulement quelques génomes.La création de catalogues de gènes non redondants par assemblage de novo suivie du regroupement des gènes co-abondants révèlent une partie de la matière noire microbienne en reconstituant le répertoire de gènes d’espèces potentiellement inconnues. Bien que les méthodes existantes identifient avec précision les gènes core présents dans toutes les souches d’une espèce, elles omettent de nombreux gènes accessoires ou les divisent en petits groupes de gènes qui ne sont pas associés aux core génomes. Or, capturer ces gènes accessoires est indispensable en recherche clinique et épidémiologique car ces derniers assurent des fonctions spécifiques à certaines souches telles que la pathogénicité ou la résistance aux antibiotiques.Lors de cette thèse, nous avons développé MSPminer, un logiciel performant qui reconstitue et structure des pan-génomes d’espèces métagénomiques (ou MSPs pour Metagenomic Species Pan-genomes) en regroupant les gènes co-abondants dans un ensemble d’échantillons métagénomiques. MSPminer s’appuie sur une nouvelle mesure robuste de la proportionnalité couplée à un classificateur empirique pour regrouper et distinguer les gènes core mais aussi les gènes accessoires des espèces microbiennes.Grâce à MSPminer, nous avons structuré un catalogue de 9,9 millions de gènes du microbiote intestinal humain en 1 661 MSPs. L’homogénéité de l’annotation taxonomique, de la composition nucléotidique ainsi que la présence de gènes essentiels indiquent que les MSPs ne correspondent pas à des chimères mais à des objets biologiquement cohérents regroupant des gènes provenant de la même espèce. Parmi ces MSPs, 1 301 (78%) n’ont pas pu être annotées au niveau espèce montrant que de nombreux microorganismes colonisant l’intestin humain demeurent inconnus malgré les progrès substantiels des techniques de culture microbienne. Remarquablement, les MSPs capturent bien plus de gènes que les clusters générés par les outils existants tout en garantissant une spécificité élevée.Cet ensemble de MSPs peut d’ores et déjà être utilisé pour le profilage taxonomique et la découverte de biomarqueurs dans des échantillons de selles humaines. Ainsi, nous tirons parti des MSPs pour comparer l’impact sur le microbiote intestinal des deux principaux types de chirurgie bariatrique, la gastrectomie par laparoscopie (LSG) et la dérivation gastrique de Roux-en-Y (LRYGB). Enfin, les MSPs ouvrent la voie à des analyses au niveau souche. Dans une autre cohorte, nous avons mis en évidence l’existence de sous-espèces associées à l’origine géographique de l’hôte en étudiant les profils de présence/absence des gènes accessoires groupés dans les MSPs. / The advent of shotgun metagenomic sequencing has revolutionized microbiology by allowing culture-independent characterization of complex microbial communities such as the human gut microbiota. Recently developed bioinformatics tools achieved strain-level resolution by making a census of accessory genes or by capturing nucleotide variants (SNPs). Yet, these tools are hampered by the extent of available reference genomes which are far from covering all the microbial variability. Indeed, many species are still not sequenced or are represented by only few genomes.Building of non-redundant gene catalogs followed by the binning of co-abundant genes reveals a part of the microbial dark matter by reconstituting the gene repertoire of species potentially unknown. While existing methods accurately identify core genes present in all the strains of a species, they miss many accessory genes or split them into small gene groups that remain unassociated to core genomes. However, capturing these accessory genes is essential in clinical research and epidemiology because they provide functions specific to certain strains such as pathogenicity or antibiotic resistance.In this thesis, we developed MSPminer, a computationally efficient software tool that reconstitutes Metagenomic Species Pan-genomes (MSPs) by binning co-abundant genes across metagenomic samples. MSPminer relies on a new robust measure of proportionality coupled with an empirical classifier to group and distinguish not only species core genes but accessory genes also.With MSPminer, we structured a catalog made up of 9.9 million genes of the human gut microbiota in 1 661 MSPs. The homogeneity of the taxonomic annotation, of the nucleotide composition as well as the presence of essential genes indicate that the MSPs do not correspond to chimeras but to biologically consistent objects grouping genes from the same species. Among these MSPs, 1 301 (78%) could not be annotated at species level showing that many microorganisms colonizing the human intestinal tract are still unknown despite the substantial improvements of microbial culture techniques. Remarkably, MSPs capture more genes than clusters generated by existing tools while ensuring high specificity.This set of MSPs can be readily used for taxonomic profiling and biomarkers discovery in human gut metagenomic samples. In this way, we take advantage of the MSPs to compare the impact of two main types of surgeries, the laparoscopic sleeve gastrectomy (LSG) and the Roux-En-Y gastric bypass (LRYGB). Finally, the MSPs open the way to strain-level analyses. In another cohort, we identified subspecies associated the host geographical origin by studying presence/absence patterns of the accessory genes grouped in the MSPs.

Inflammatory Bowel Disease (IBD) is a chronic and incurable condition that is increasing inprevalence across the globe. This illness consist of two forms: Crohn’s Disease (CD) andUlcerative Colitis (UC). CD is characterised by a patch inflammation pattern across the gut anda multitude of different factors, such as diet. Contemporary research has found a link betweengut dysbiosis and the development of IBD, suggesting that the microbial flora colonising the guthave a vital part to play in the development of CD.This paper aims to identify taxa associated with CD. This is done through the application ofmachine learning algorithms as standard univariate statistical methods fail to apply in the highlyinterdependent domain of the gut microbiome. The compositionally of the data and externalfactors influencing variance in the data will be taken into account.After applying a Center Log ratio transformation (CLR) to a MetaPhlAn3 taxonomic profile andusing a random forest classifier the following five taxa were identified as the most important inthe association to CD: Ruminococcaceae bacterium, Akkermansia muciniphila, Streptococcusparasanguinis, Flavonifractor plautii and Bifidobacterium bifidum.

<p dir="ltr">Originating from J. J. Thomsons original work and the development of electrospray ionization (ESI) by John B. Fenn, mass spectrometry offers a versatile analytical tool to measure beyond an ion’s m/z, especially for biomolecules. Gas-phase ion/ion reactions within a mass spectrometer offers an attractive approach to study biomolecules as they take place on the millisecond and sub millisecond time scale, have high efficiency, allow oppositely charged ions to interact with each other in a controlled manner, and a allows for selection of each reactant prior to the reaction via ion isolation. This can be used to probe gas-phase chemistry that can reflect reactions in solution, however gas-phase reactions have no solvent effects and happen faster, making it a simpler experiment. Here, a variety of gas-phase ion/ion reactions and ion trap methodologies are described to study mostly lipids with a minor amount of transmetalation at the beginning.</p><p dir="ltr">First, a series of multivalent metals complexed to neutral ligands are demonstrated to form ion-pairs with tetraphenylborate anions via ion/ion reactions. The resulting products were subjected to collision induced activation (CID) to observe their involvement in transmetalation, complementary density functional theory (DFT) calculations are provided as well. Next, sequential ion/ion reactions were performed to convert isomeric phosphoinositol phosphates dianions to monocations to reveal structural characterization and isomeric differentiation utilizing tandem MS and dissociation kinetics. The following two chapters after, reports on complementary efforts to separate lipids in the gas-phase of different mass and charge but similar mass-to-charge (m/z) resulting in overlapping m/z signals. The first report demonstrates a physical approach where singly and double charged lipids are separated in space from each other, trapped simultaneously such that no information is lost. The second utilizes a lanthanide, Yb3+ trication complex that underwent ion/ion reactions with singly and doubly charged lipid anions of similar m/z that result in different m/z products for each singly and doubly charged lipids. Lastly, a sequential ion/ion approach utilizing hexa(ethylene glycol) dithiol as a novel reagent to charge invert structurally uninformative lipid cations to structurally informative anions with subsequent carbon-carbon double bond localization.</p>

Heterotrophic protists, consisting largely of the Cercozoa, Amoebozoa, Ciliophora, Discoba and some Stramenopiles, are a poorly characterized component of life on Earth. They play an important ecological role in soil communities and provide key insights into the nature of one of life’s most enigmatic evolutionary transitions: the development of the complex unicell. Soil ecosystems are crucial to the functioning of global biogeochemical cycles (e.g. carbon and nitrogen) but are at risk of drastic change from anthropogenic climate change. Heterotrophic protists are the primary regulators of bacterial diversity in soils and as such play integral roles in biogeochemical cycling, nutrient mobilization, and trophic cascades in food webs under stress. Understanding the nature of these changes requires examining the rates, diversity, and resiliency of interactions that occur between soil organisms. However, soils are the most taxonomically diverse ecosystems on Earth and disentangling the complexities of dynamic and varied biotic interactions in them requires a unique model system. The McMurdo Dry Valleys of Antarctica, one of the harshest terrestrial environments on Earth, serve as a model soil ecosystem owing to their highly reduced biological diversity. Exploring the functioning of heterotrophic protists in these valleys provides a way to test the applicability of this model system to other soil food webs. However, very little is known about their taxonomic diversity, which is a strong predictor of function. Therefore, I reviewed the Antarctic literature to compile a checklist of all known terrestrial heterotrophic protists in Antarctica. I found significant geographical, methodological, and taxonomic biases and outlined how to address these in future research programs. I also conducted a molecular survey of whole soil communities using 18 shotgun metagenomes representing major landscape features of the McMurdo Dry Valleys. The results revealed the dominance of Cercozoa and point to an Antarctic heterotrophic protist soil community that is taxonomically diverse and reflects the structure and composition of communities at lower latitudes. To investigate whether biotic interactions or abiotic factors were a larger driver for Antarctic heterotrophic protists, I conducted variation partitioning using environmental data (e.g. moisture, pH and electrical conductivity). Biotic variables were more significant and accounted for more of the variation than environmental variables. Taken together, it is clear that heterotrophic protists play key ecological roles in this ecosystem. Deeper insights into the ecology of these organisms in the McMurdo Dry Valleys also have implications for the search for complex unicellular life in our universe. I discuss the theoretical underpinnings of searching for these forms of life outside of Earth, conclude that they are likely to occur, and postulate how future missions could practically search for complex unicells.

Es wird allgemein angenommen, dass Proteine exponentiell degradiert werden. Das bedeutet, dass neu synthetisierte als auch alte Proteine mit gleicher Wahrscheinlichkeit degradiert werden. Es tauchen jedoch immer mehr Hinweise dafür auf, dass das nicht immer der Fall sein muss. Um diese Fragestellung systematisch anzugehen, haben wir eine Methode zur metabolischen Pulsmarkierung mit der nichtkanonischen Aminosäure Azidohomoalanine (AHA) entwickelt. AHA ermöglicht die Anreicherung von neu synthetisierten Proteinen direkt nach einem Puls oder nach einer „chase“ (Nachverfolgung) Periode in AHA freiem Medium. Wir kombinierten diese Methode mit SILAC und Shotgun Proteomik um zu quantifizieren wieviel Protein nach verschiedenen chase-Perioden übrig bleibt. Damit konnten wir Degradationsprofile für tausende von Proteinen erstellen. Unsere Daten zeigen, dass mehr als 10 % der Proteine nicht exponentiell degradiert werden (NED). Diese Proteine werden mit fortschreitendem Alter ausschließlich stabiler. Proteasomale Degradation von überschüssigen Proteinkomplexuntereinheiten scheint einen Großteil der NEDs zu erklären. Beim Vergleich zwischen murinen und humanen Zellen stellte sich heraus, dass NED teilweise konserviert ist. Das liegt scheinbar daran, dass diese Zellen trotz unterschiedlichem Ursprungs einheitlich bestimmte Untereinheiten überproduzieren. Da überschüssige NED Proteine bereits unter Standardbedingungen degradiert werden, nahmen wir an, dass die zusätzliche Überproduktion eines NED Proteins seine Level im stationären Zustand nicht verändern sollte. Um dies zu zeigen, quantifizierten wir Degradationskinetiken von Proteinen einer aneuploidenZelllinie. Wir fanden, dass NED Proteine, die auf trisomischen Chromosomen codiert sind, nicht in gleichem Maße ihr stationäres Level steigerten wie exponentiell degradierte Proteine. In Übereinstimmung mit unserer Hypothese verzeichneten wir stattdessen eine Zunahme der anfänglichen Degradationsraten dieser NED Proteine. / Proteins are thought to be degraded exponentially. That means that newly synthesized proteins have the same probability to be degraded as old proteins. However, evidence has accumulated showing that this is not true in all cases. To analyze this more systematically, we developed a method employing metabolic pulse-labeling by the non-canonical amino acid azidohomoalanine (AHA). AHA enables enrichment of newly synthesized proteins directly after pulse or after chase in AHA-free medium. We used SILAC and shotgun proteomics to quantify how much protein remains after different lengths of chase to create degradation profiles for thousands of proteins. Importantly, these degradation profiles allowed us to detect changes in degradation kinetics as the proteins age. We found that more than 10 % of proteins are non-exponentially degraded (NED). These protein are exclusively stabilized by age. Proteasomal degradation of excess protein complex subunits seems to explain a large fraction of NED. Comparing NED in mouse and human cells, we found that NED is at least partially conserved, seemingly due to cells consistently making too much of certain subunits. These overproduced subunits are on average shorter and more structured than the exponentially degraded proteins within the same complex. Finally, since excess NED proteins are degraded during baseline conditions, we hypothesized that making more of a NED protein would not increase its steady state levels. We employed an aneuploidy cell model and found that indeed NED proteins encoded on trisomic chromosomes did not increase in steady state levels to the same extent as exponentially degraded proteins. Instead, we recorded an increase in initial degradation of these proteins. In summary, we present a method for global pule-chase experiments allowing the detection of age-dependent protein degradation with possible implications for the understanding of aneuploidy and cancer.

The physical properties of glycerophospholipids (GPLs) are not only determined by the head group (HG), but also by their fatty acid (FA) chains, which affect their distribution and function within membranes in the cell. Understanding the microheterogenity of lipid membranes on a molecular level requires qualitative and quantitative characterization of individual lipids and identification of their FA moieties. The aim of my study was to introduce the new technology of multiple precursor ion scanning (MPIS) on a QSTAR Pulsar time-of-flight mass spectrometer (QqTOF) to analyze lipids. Detailed information on fatty acid composition of individual GPL molecules could be obtained in parallel with conventional profiling of lipid classes, and this could be done by direct analysis of total lipid extracts. This method was termed Fatty Acid Scanning (FAS) and Head Group Scanning HGS, respectively. In this way the molecular GPL composition of total lipid extracts could be charted in a single analysis accurately and rapidly at a low picomole concentration level. Furthermore, combining FAS and HGS together with ion trap MS3 analysis allowed complete charting of the molecular composition of PCs, including quantification of their positional isomers, thus providing a detailed and comprehensive characterization of molecular composition of the pool of PCs. Development of the Lipid Profiler software allowed full automation and rapid processing of complex data, including identification and quantification of molecular GPLs. This approach was evaluated by preliminary applications. First, the molecular composition of PCs of total lipid extracts of MDCK cells and of human red blood cells (RBC) could accurately be charted. Significant presence of positional isomers was observed increasing the total number of individual PC species close to one hundred. Secondly, the molecular PC and SM species distribution in detergent resistant membranes (DRMs) prepared by Triton X-100 DRMs were analyzed and were found to be enriched in distinct GPLs. The distribution in PCs and SMs of Triton X-100 DRMs of RBC were compared with those of the DRMs of MDCK cells. Finally, combining the use of a 96 well plate and a robotic system demonstrated that these analyses can be automated and analyzed with high throughput. This system we termed Shotgun Lipidomics. Taken together, this mass spectrometric methodology provides rapid and detailed insight into the distribution of the molecular GPLs of membranes and membrane sub-fractions.

Thesis (PhD)--Macquarie University, Division of Environmental & Life Sciences, Dept. of Chemistry & Biomolecular Sciences, 2009. / Bibliography: p. 200-212. / Introduction -- Shotgun proteomic analysis of rat liver membrane proteins -- A combination of immobilised pH gradients improve membrane proteomics -- Affects of tumor-induced inflammation on membrane proteins abundance in the mouse liver -- Affects of tumor-induced inflammation on biochemical pathways in the mouse liver -- General discussion -- References. / The aim of this thesis was to develop a proteomics methodology that improves the identification of membrane proteomes from mammalian liver. Shotgun proteomics is a method that allows the analysis of proteins from cells, tissues and organs and provides comprehensive characterisation of proteomes of interest. The method developed in this thesis uses separation of peptides from trypsin digested membrane proteins by immobilised pH gradient isoelectric focusing (IPG-IEF) as the first dimension of two dimensional shotgun proteomics. In this thesis, peptide IPG-IEF was shown to be a highly reproducible, high resolution analytical separation that provided the identification of over 4,000 individual protein identifications from rat liver membrane samples. Furthermore, this shotgun proteomics strategy provided the identification of approximately 1,100 integral membrane proteins from the rat liver. The advantages of using peptide IPG-IEF as a shotgun proteomics separation dimension in conjunction with label-free quantification was applied to a biological question: namely, does the presence of a spatially unrelated benign tumor affect the abundance of mouse liver proteins. IPG-IEF shotgun proteomics provided comprehensive coverage of the mouse liver membrane proteome with 1,569 quantified proteins. In addition, the presence of an Englebreth-Holm-Swarm sarcoma induced changes in abundance of proteins in the mouse liver, including many integral membrane proteins. Changes in the abundance of liver proteins was observed in key liver metabolic processes such as fatty acid metabolism, fatty acid transport, xenobiotic metabolism and clearance. These results provide compelling evidence that the developed shotgun proteomics methodology allows for the comprehensive analysis of mammalian liver membrane proteins and detailed some of the underlying changes in liver metabolism induced by the presence of a tumor. This model may reflect changes that could occur in the livers of cancer patients and has implications for drug treatments. / Mode of access: World Wide Web. / 609 p. ill. (some col.)

La digoxine est un cardiotonique largement employé pour contrôler les symptômes de l'insuffisance cardiaque et de la fibrillation auriculaire. Il est connu depuis les années 1980 que le métabolite principal de la digoxine, la dihydrodigoxine, est produit exclusivement par le microbiome intestinal (métabolisme de premier passage) et plus précisément la bactérie Eggerthella lenta. Aux États-Unis, c'est 14% des participants à une étude qui excrétaient 40% et plus de la dose sous la forme de ce métabolite rapidement éliminable et ayant perdu son affinité pour sa cible. De plus, chaque année, la digoxine est le médicament qui engendre le plus d'hospitalisations pour effets secondaires toxiques. Les effets secondaires très problématiques de la digoxine sont souvent déclenchés par l'ajout d'antibiotiques (surtout les macrolides) à la prescription de digoxine. La théorie explorée ici explique les évènements de toxicité chez les patients métabolisateurs. Ces derniers ont une dose quotidienne de maintien de digoxine plus élevée pour compenser l'action de la bactérie et, lorsque ces patients reçoivent un antibiotique pour une infection non reliée à leur condition cardiaque, l'arrêt du métabolisme par le microbiome engendre une augmentation de la biodisponibilité de la digoxine. Si la concentration plasmatique du médicament augmente trop, les effets secondaires peuvent aller jusqu'à causer la mort. Dans le présent projet, nous avons vérifié la sensibilité de E. lenta à deux antibiotiques de la famille des céphalosporines de seconde génération, in vivo et in vitro. Pour les 18 volontaires qui ont été exposés à 2x500mg de céfprozil durant une semaine, il y a une tendance à la baisse de l'abondance de la bactérie d'intérêt (par 58,3% par rapport au niveau initial), mais pas de significativité au niveau des tests statistiques. Pour les échantillons complets de microbiome fécal, mis en culture avec et sans antibiotiques, il y a une différence statistiquement significative avec une valeur-p de 0,0457, alors que la croissance de E. lenta a été impactée négativement par l'ajout de céfprozil au milieu de culture. Les résultats valident une prémisse importante pour la démonstration du rôle du microbiome dans la pharmacocinétique de la digoxine et la gestion clinique du médicament cardiotonique. / Digoxin is a widely used cardiotonic drug in the management of heart failure and atrial fibrillation. It has been known since the early 1980's that the main metabolite of digoxin, dihydrodigoxin, is synthesized by the gut microbiome during first pass metabolism and is exclusively produced by the bacteria Eggerthella lenta. In a clinical study done in the U.S.A., there were 14% of high metabolizers, for whom over 40% of the oral digoxin dose is transformed to the inactive metabolite and rapidly eliminated. Digoxin toxicity is the leading cause of hospitalization from medication's secondary effects. The toxicity events are often associated with the addition of an antibiotic (mostly from the macrolides class) to the patient's drugs regiments. The theory explored in this project could help explain the toxicity events in metabolizers. These patients have a higher daily digoxin maintenance dose to counteract the effects of the microbiome and are then prescribed antibiotics for an infection unrelated to their heart condition. The antibiotic alters E. lenta negatively, which cannot metabolize digoxin anymore and therefore augments the bioavailability of the cardiotonic. If the plasmatic concentration reaches dangerous levels (over 2ng/ml of plasma), the patients face adverse effects that include death. In the present project, we evaluated the susceptibility of E. lenta to two second generation cephalosporins, in vivo and in vitro. With the 18 healthy volunteers that were exposed to 2x500mg of cefprozil daily for 7 days, we observed a diminution of the abundance of the bacteria of interest by 58,3% from the initial levels. This change did not however produce statistically significant tests results. For the complete fecal microbiome that were cultivated in vitro, with or without cefprozil, the difference between the two conditions resulted in a statistically significant p-value of 0.0457, confirming the sensitivity of E. lenta to this cephalosporin. These results validate an important premise for the demonstration of the importance of the gut microbiome in the pharmacokinetics of digoxin and the clinical management of the drug to avoid toxicity events in clinical practice.