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Tesis sobre el tema "Metabolomics and trascriptomics analysis"

Autor: Grafiati
Publicado: 11 de marzo de 2023

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1

GUARNERIO, Chiara Francesca. "Effects of enod40 overexpression in non legume plants." Doctoral thesis, Università degli Studi di Verona, 2010. http://hdl.handle.net/11562/343215.

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Il gene ENOD40 è una nodulina precoce ed è indotto durante i primi stadi di formazione del nodulo radicale in risposta alle interazioni tra le leguminose ed i batteri simbionti del genere Rhizobia. Omologhi del gene ENOD40 sono stati identificati in diverse specie e la sua espressione, non unicamente correlata alla formazione del nodulo, è stata osservata in tessuti giovani e meristematici. Una caratteristica che accomuna i geni ENOD40 è l’assenza di un lunga open reading frame (ORF); al contrario, molte piccole ORF sono generalmente presenti nei trascritti. Il gene contiene due regioni alt
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2

Yet, Idil. "Integrated epigenomics and metabolomics analysis in twins." Thesis, King's College London (University of London), 2016. https://kclpure.kcl.ac.uk/portal/en/theses/integrated-epigenomics-and-metabolomics-analysis-in-twins(4d0fb76b-cc2b-4e31-8950-a7ffb5b91363).html.

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Epigenetics and metabolomics are rapidly growing areas of research, in part due to recent advances in technology that have allowed for a wide coverage of the human genome. Metabolites are small compounds present in cell and body fluids, and are involved in biochemical processes of the cell. Quantitative trait loci associated with levels of individual metabolites (mQTLs) have been identified from numerous metabolome GWAS. Here, I analysed metabolite levels in twins with the aim of identifying genetic variants that influence metabolomic traits (mQTLs) using two different metabolomics platforms,
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3

Muhamad, Ali Howbeer. "Metabolomics investigation of microbial cell factories." Thesis, University of Manchester, 2015. https://www.research.manchester.ac.uk/portal/en/theses/metabolomics-investigation-of-microbial-cell-factories(2e2f5f58-d38a-4c77-966b-56ce92aec619).html.

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The stream of new technological advancements and their integration into the field of microbiology have contributed significantly towards our understanding of life in the micro-scale world, making the fields of microbiology and biotechnology shine like never before. Since 1980, the recombinant protein-based therapeutics industry has become one of the fastest growing sectors in the biopharmaceutical market. Nearly 30% of commercially available recombinant proteins are produced in Escherichia coli, making this species one of the most commonly used bacterial expression systems for the production o
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4

Klünder, Christina. "Metabolomics for toxicity analysis using the chlorophyte Scenedesmus vacuolatus /." Leipzig [u.a.], 2009. http://www.ufz.de/data/ufzdiss_2_2009_9947.pdf.

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5

Gloaguen, Yoann. "Supporting analysis, visualisation and biological interpretation of metabolomics datasets." Thesis, University of Glasgow, 2017. http://theses.gla.ac.uk/8433/.

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Over the past decades, the emerging omics technologies have enabled scientists to take a step further in the investigation of biological systems. From food safety to stratified medicine, omics technologies are now an essential and powerful means to study biological processes. Omics technologies are however at different stages of maturity, and the most recent field of the omics family, metabolomics, is still in its infancy. Metabolomics attempts to catalogue, characterise and quantify all small molecules constitutive of a biological system. Liquid Chromatography - Mass Spectrometry (LCMS) is no
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6

Abdelrazig, Salah M. A. "Mass spectrometry for high-throughput metabolomics analysis of urine." Thesis, University of Nottingham, 2015. http://eprints.nottingham.ac.uk/30600/.

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Direct electrospray ionisation-mass spectrometry (direct ESI-MS), by omitting the chromatographic step, has great potential for application as a high-throughput approach for untargeted urine metabolomics analysis compared to liquid chromatography-mass spectrometry (LC-MS). The rapid development and technical innovations revealed in the field of ambient ionisation MS such as nanoelectrospray ionisation (nanoESI) chip-based infusion and liquid extraction surface analysis mass spectrometry (LESA-MS) suggest that they might be suitable for high-throughput metabolomics analysis. In this thesis, LC-
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7

Beisken, Stephan Andreas. "Informatics for tandem mass spectrometry-based metabolomics." Thesis, University of Cambridge, 2014. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.708325.

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8

Duffy, Kate I. "Application of metabolomics to the analysis of ancient organic residues." Thesis, University of Birmingham, 2015. http://etheses.bham.ac.uk//id/eprint/5670/.

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The grape is arguably one of the oldest cultivated products in human history and the analysis of its main product, wine, reveals clues to trade and associations of previous civilizations. In ancient times, wine was stored in clay amphorae, which, if not properly sealed with resin or pitch allowed the wine to wick into clay matrices, dry, and polymerize producing insoluble, intractable materials that may remain within the matrix for several thousand years. Presently, identification of wine residue is based upon the extraction of these polymeric materials from the ceramic matrix and analyzing/id
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9

Daub, Carsten O. "Analysis of integrated transcriptomics and metabolomics data a systems biology approach /." [S.l. : s.n.], 2004. http://pub.ub.uni-potsdam.de/2004/0025/daub.pdf.

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10

Daub, Carsten Oliver. "Analysis of integrated transcriptomics and metabolomics data : a systems biology approach." Phd thesis, Universität Potsdam, 2004. http://opus.kobv.de/ubp/volltexte/2005/138/.

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Moderne Hochdurchsatzmethoden erlauben die Messung einer Vielzahl von komplementären Daten und implizieren die Existenz von regulativen Netzwerken auf einem systembiologischen Niveau. Ein üblicher Ansatz zur Rekonstruktion solcher Netzwerke stellt die Clusteranalyse dar, die auf einem Ähnlichkeitsmaß beruht.<br /> Wir verwenden das informationstheoretische Konzept der wechselseitigen Information, das ursprünglich für diskrete Daten definiert ist, als Ähnlichkeitsmaß und schlagen eine Erweiterung eines für gewöhnlich für die Anwendung auf kontinuierliche biologische Daten verwendeten Algorithmu
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11

Grinde, Maria Tunset. "Characterization of breast cancer using MR metabolomics and gene expression analysis." Doctoral thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for sirkulasjon og bildediagnostikk, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-19447.

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Brystkreft er den vanligste kreftformen blant kvinner i Norge. Prognose og overlevelse avhenger av type kreft, tumorstørrelse, lymfeknutemetastaser og reseptorstatus (østrogen, progesteron og HER2). Basert på genekspresjonanalyser av tumorvev kan brystkreft deles inn i fem grupper; luminal A, luminal B, basal-like, HER2 positive og normal-like. Prognosene til pasientene i de ulike gruppene varierer der pasienter med basal-like brystkreft har den dårligste prognosen, mens pasienter med luminal A brystkreft har de beste prognosene. Metabolismen i kreftceller og normale celler er svært forskjelli
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12

Ahmed, Mohamed Fathi Youssef Mohamed. "Development of computational analysis tools for natural products research and metabolomics." 京都大学 (Kyoto University), 2016. http://hdl.handle.net/2433/215499.

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13

BACCOLO, GIACOMO. "Chemometrics approaches for the automatic analysis of metabolomics GC-MS data." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2022. http://hdl.handle.net/10281/374731.

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La metabolomica, che consiste nella identificazione di tutti i metaboliti presenti all’interno dei campioni biologici analizzati, è un approccio ampiamente applicato in diversi campi di ricerca quali: identificazione di biomarcatori, sviluppo di nuovi farmaci, scienze alimentari e ambientali. La metabolomica è strettamente legata alla capacità di tecniche analitiche fra queste una delle più applicate è la gas cromatografia accoppiata alla spettrometria di massa. Moderne piattaforme analitiche possono generare centinaia di migliaia di spettri, rilevando una quantità impressionante di molecole d
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14

Johnsson, Anna. "Mining for Lung Cancer Biomarkers in Plasma Metabolomics Data." Thesis, Linköping University, Biotechnology, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-57670.

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<p>Lung cancer is the cancer form that has the highest mortality worldwide and inaddition the survival of lung cancer is very low. Only 15% of the patients are alivefive years from set diagnosis. More research is needed to understand the biologyof lung cancer and thus make it possible to discover the disease at an early stage.Early diagnosis leads to an increased chance of survival. In this thesis 179 lungcancer- and 116 control samples of blood serum were analyzed for identificationof metabolomic biomarkers. The control samples were derived from patients withbenign lung diseases.Data was gain
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15

Öman, Tommy. "Multivariate Analysis of 2D-NMR Spectroscopy : Applications in wood science and metabolomics." Doctoral thesis, Umeå universitet, Kemiska institutionen, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-80201.

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Wood is our most important renewable resource. We need better quality and quantity both according to the wood itself and the processes that are using wood as a raw material. Hence, the understanding of the chemical composition of the wood is of high importance. Improved and new methods for analyzing wood are important to achieve better knowledge about both refining processes and raw material. The combination of NMR and multivariate analyses (MVA) is a powerful method for these analyses but so far it has been limited mainly to 1D NMR. In this project, we have developed methods for combining 2D
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16

Spicer, Rachel. "Fit for purpose? : a metascientific analysis of metabolomics data in public repositories." Thesis, University of Cambridge, 2019. https://www.repository.cam.ac.uk/handle/1810/287634.

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Metabolomics is the study of metabolites and metabolic processes. Due to the diversity of structures and polarities of metabolites, no single analytical technique is able to measure the entire metabolome - instead a varied set of experimental designs and instrumental technologies are used to measure specific portions. This has led to the development of many distinct data analysis and processing methods and software. There is hope that metabolomics can be utilized for clinical applications, in toxicology and to measure the exposome. However, for these applications to be realised data must be hi
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17

Alonso, Arnald. "Bioinformatics methods for the genomics and metabolomics analysis of immune-mediated inflammatory diseases." Doctoral thesis, Universitat Politècnica de Catalunya, 2015. http://hdl.handle.net/10803/320191.

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During the last decade, genomics have been widely used to the characterization of the molecular basis of common diseases. Genome-wide association studies (GWAS) have been highly successful in characterizing the genetic variation that influences human traits including the susceptibility to common diseases. In metabolomics, recent improvements of analytical technologies have enabled the analysis of complete metabolomic profiles. Using this approach, high-throughput metabolomics studies have already demonstrated a high potential for the discovery of disease biomarkers. The use of powerful high-t
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18

Porter, Sarah Elizabeth Graham. "Chemometric analysis of multivariate liquid chromatography data : applications in pharmacokinetcs, metabolomics and toxicology /." Available to VCU users online at:, 2006. http://hdl.handle.net/10156/1816.

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19

Porter, Sarah Elizabeth Graham. "Chemometric Analysis of Multivariate Liquid Chromatography Data: Applications in Pharmacokinetics, Metabolomics, and Toxicology." VCU Scholars Compass, 2006. http://scholarscompass.vcu.edu/etd/1156.

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In the first part of this work, LC-MS data were used to calculate the in-vitro intrinsic clearances (CLint) for the metabolism of p-methoxyrnethamphetamine (PMMA) and fluoxetine by the CYP2D6 enzyme using a steady-state (SS) approach and a new general enzyme (GE) screening method. For PMMA, the SS experiment resulted in a CLint of 2.7 ± 0.2 µL pmol 2D6-1min-1 and the GE experiment resulted in a CLint of 3.0 ± 0.6 µL pmol 2D6-1min-1. For fluoxetine, the SS experiment resulted in a CLint of 0.33 ± 0.17 µL pmol 2D6-1min-1 and the GE experiment resulted in a CLint of 0.188 ± 0.013 µL pmol 2D6-1min
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20

Davenport, Peter William. "A metabolomics-based analysis of acyl-homoserine lactone quorum sensing in Pseudomonas aeruginosa." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/274674.

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Pseudomonas aeruginosa is a metabolically versatile environmental bacterium that grows in extremely diverse habitats—from sea water to jet fuel—and is able to infect a large variety of organisms. It is a significant cause of human disease and is one of the most frequent healthcare-associated infections. P. aeruginosa uses a sophisticated gene regulatory network to adapt its growth strategy to these diverse environmental niches and the fluctuating conditions it encounters therein. The las and rhl “quorum sensing” (QS) intercellular communication systems play integral roles in this regulatory ne
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21

Tengstrand, Erik. "Data analysis of non-targeted mass spectrometry experiments." Doctoral thesis, Stockholms universitet, Institutionen för miljövetenskap och analytisk kemi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-116820.

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Data processing tools are valuable to the analytical chemist as they can speed up the analysis, and sometimes solve problems that are not feasible to solve in a traditional manner. However, the complexity of many data processing tools can make their use daunting for the inexperienced user. This thesis includes two applications and two tools for data processing. The first application focuses on minimizing the manual input, reducing the time required for a simple task. The second application required more manual input, in the form of parameter selection, but process far more data.  The data proc
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22

Shiryaeva, Liudmila. "Proteomics and metabolomics in biological and medical applications." Doctoral thesis, Umeå universitet, Kemiska institutionen, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-43520.

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Biological processes in living organisms consist of a vast number of different molecular networks and interactions, which are complex and often hidden from our understanding. This work is focused on recovery of such details for two quite distant examples: acclimation to extreme freezing tolerance in Siberian spruce (Picea obovata) and detection of proteins associated with prostate cancer. The first biological system in the study, upon P. obovata, is interesting by this species ability to adapt and sustain extremely low temperatures, such as -60⁰C or below. Despite decades of investigations, th
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23

Kopka, Joachim. "Applied metabolome analysis : exploration, development and application of gas chromatography-mass spectrometry based metabolite profiling technologies." Thesis, Universität Potsdam, 2008. http://opus.kobv.de/ubp/volltexte/2010/4059/.

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The uptake of nutrients and their subsequent chemical conversion by reactions which provide energy and building blocks for growth and propagation is a fundamental property of life. This property is termed metabolism. In the course of evolution life has been dependent on chemical reactions which generate molecules that are common and indispensable to all life forms. These molecules are the so-called primary metabolites. In addition, life has evolved highly diverse biochemical reactions. These reactions allow organisms to produce unique molecules, the so-called secondary metabolites, which provi
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24

Näsström, Elin. "Diagnosis of acute and chronic enteric fever using metabolomics." Doctoral thesis, Umeå universitet, Kemiska institutionen, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-140188.

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Enteric (or typhoid) fever is a systemic infection mainly caused by Salmonella Typhi and Salmonella Paratyphi A. The disease is common in areas with poor water quality and insufficient sanitation. Humans are the only reservoir for transmission of the disease. The presence of asymptomatic chronic carriers is a complicating factor for the transmission. There are major limitations regarding the current diagnostic methods both for acute infection and chronic carriage. Metabolomics is a methodology studying metabolites in biological systems under influence of environmental or physiological perturba
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25

Fernández, Albert Francesc. "Machine learning methods for the analysis of liquid chromatography-mass spectrometry datasets in metabolomics." Doctoral thesis, Universitat Politècnica de Catalunya, 2014. http://hdl.handle.net/10803/283980.

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Liquid Chromatography-Mass Spectrometry (LC/MS) instruments are widely used in Metabolomics. To analyse their output, it is necessary to use computational tools and algorithms to extract meaningful biological information. The main goal of this thesis is to provide with new computational methods and tools to process and analyse LC/MS datasets in a metabolomic context. A total of 4 tools and methods were developed in the context of this thesis. First, it was developed a new method to correct possible non-linear drift effects in the retention time of the LC/MS data in Metabolomics, and it was co
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26

Uawisetwathana, Umaporn. "Metabolomics analysis of brown planthopper (BPH)-resistant traits in Thai Jasmine rice (Oryza sativa)." Thesis, Queen's University Belfast, 2015. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.696327.

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A metabolomics platform technology was used to study known traits of Thai rice, brown planthopper (BPH) resistance trait. Three rice varieties with different BPH resistance capacity, namely BPH-susceptible KD cultivar, BPH-resistant IL7 containing Bph 3 and BPH-resistant+ IL308 containing Bph 3 and terpene synthase (TPS) genes, were analyzed to identify differential metabolomics profiles between them, with and without BPH infestation at different time points (Days 1, 2, 3, 4 and 8). Metabolic profiles were obtained using the analytical methods including Proton Nuclear Magnetic Resonance (1 H N
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27

Palisi, Angelica. "NMR-based metabolomic analysis of biological fluids to monitor relevant unsolved diseases." Doctoral thesis, Universita degli studi di Salerno, 2017. http://hdl.handle.net/10556/2565.

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2015 - 2016<br>Metabolomics and metabonomics encompass the comprehensive profiling of multiple metabolite concentrations and their cellular and systemic fluctuations in response to drugs, diet, lifestyle, environment, stimuli and genetic modulations, in order to characterize the beneficial and adverse effects of such interactions. In the context of biomedical applications, metabolomics will have a preferential role with respect to the other "Omics" sciences for its ability to detect in real time the response of the organisms to pathological stressors. The application of the NMR technique
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28

Diaz, Sílvia de Oliveira. "Pregnancy and newborns disorders followed by urine metabolomics." Doctoral thesis, Universidade de Aveiro, 2014. http://hdl.handle.net/10773/13110.

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Doutoramento em Química<br>Chapter 1 introduces the scope of the work by identifying the clinically relevant prenatal disorders and presently available diagnostic methods. The methodology followed in this work is presented, along with a brief account of the principles of the analytical and statistical tools employed. A thorough description of the state of the art of metabolomics in prenatal research concludes the chapter, highlighting the merit of this novel strategy to identify robust disease biomarkers. The scarce use of maternal and newborn urine in previous reports enlightens the relevance
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29

Pietzke, Matthias [Verfasser]. "Analysis of the metabolic control of cell growth using stable isotope resolved metabolomics / Matthias Pietzke." Berlin : Freie Universität Berlin, 2015. http://d-nb.info/1067442219/34.

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30

Parsons, Helen Michelle. "Optimised spectral processing and lineshape analysis in 2-dimensional J-resolved NMR spectroscopy based metabolomics." Thesis, University of Birmingham, 2010. http://etheses.bham.ac.uk//id/eprint/816/.

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NMR spectroscopy is a primary analytical approach of metabolomics. Although 1D 1H NMR spectroscopy is versatile, highly reproducible and widely used, analysis of complex biological samples yields congested spectra with many overlapping signals. This makes metabolite identification and quantification challenging. 1H J-resolved (JRES) experiments spreads this high signal density into a second dimension, simplifying the spectral analysis. This thesis analyses the approaches and suitability of JRES spectroscopy to analyse metabolomics data. Firstly, the robustness of the JRES experiment is investi
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31

Gutiérrez, Eva Caamaño. "The effect of diet on Plasmodium falciparum development revealed by NMR metabolomics and image analysis." Thesis, University of Warwick, 2016. http://wrap.warwick.ac.uk/87354/.

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The development of axenic in vitro growth models of the human malaria parasite Plasmodium falciparum, has been pivotal in accelerating knowledge of this very important human pathogen. Despite the importance of this pathogen, there have been very few studies relating to the metabolism of the parasite. Furthermore, much of the preceding studies have been undertaken using culture conditions that do not accurately represent the physiological environment of the human host. There is a need to address whether different nutrient environments would trigger a parasite response at the systems level promo
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32

Davoren, Elmarie. "A metabolomics study of selected perturbations of normal human metabolism / Elmarie Davoren." Thesis, North-West University, 2010. http://hdl.handle.net/10394/4219.

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Metabolism is an integrated network of biochemical pathways involving a series of enzymecatalysed anabolic or catabolic reactions in cells. Metabolites are chemical compounds that are involved in or are products of metabolic pathways, and the metabolome is defined as the total complement of all the low molecular weight metabolites present in a cell at any given time. Metabolomics is a relatively new research technology utilised for the global investigation, identification and quantification of the metabolome. Three aims were defined for the m
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33

Karimpour, Masoumeh. "Multi-platform metabolomics assays to study the responsiveness of the human plasma and lung lavage metabolome." Doctoral thesis, Umeå universitet, Kemiska institutionen, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-120591.

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Metabolomics as a field has been used to track changes and perturbations in the human body by investigating metabolite profiles indicating the change of metabolite levels over time and in response to different challenges. In this thesis work, the main focus was on applying multiplatform-metabolomics to study the human metabolome following exposure to perturbations, such as diet (in the form of a challenge meal) and exhaust emissions (air pollution exposure in a controlled setting). The cutting-edge analytical platforms used for this purpose were nuclear magnetic resonance (NMR), as well as gas
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34

Cortes, Bermudez Diego Fernando. "Functional genomics through metabolite profiling and gene expression analysis in Arabidopsis thaliana." Diss., Virginia Tech, 2008. http://hdl.handle.net/10919/28457.

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In the post-genomic era, one of the most important goals for the community of plant biologists is to take full advantage of the knowledge generated by the Arabidopsis thaliana genome project, and to employ state-of-the-art functional genomics techniques to assign function to each gene. This will be achieved through a complete understanding of what all cellular components do, and how they interact with one another to produce a phenotype. Among the proteins encoded by the Arabidopsis genome are 24 related carboxyl methyltransferases that belong to the SABATH family. Several of the SABATH meth
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35

Duong, Viêt Dung. "Development of numerical approaches for nuclear magnetic resonance data analysis." Thesis, Lyon, 2017. http://www.theses.fr/2017LYSEN010/document.

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La résonance magnétique nucléaire (RMN) est devenue une des techniques spectroscopiques les plus puissantes et polyvalentes de la chimie analytique avec des applications multiples dans des différents domaines de la recherche. Cependant, un des inconvénients majeurs de la RMN est le processus fastidieux d'analyse de donnée qui nécessite fréquemment des interventions humaines. Ces dernières font diminuer non seulement l'efficacité et l'objectivité des études mais également renferment les champs d'applications potentielles de la RMN pour les non-initiés. Par conséquent, le développement des métho
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36

Power, Kristin Marie. "Raman and near infrared spectroscopic analysis of amniotic fluid : metabolomics of maternal and fetal health indicators." Thesis, McGill University, 2007. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=112345.

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This thesis presents quantitative tools for the metabolomic analysis of amniotic fluid (AF) using vibrational spectroscopy. A total of 300 AF samples were collected for this retrospective cohort study and both Raman and near infrared (NIR) spectra were measured. Spectral data was compressed using a Haar wavelet transform and stage-wise multilinear regression (MLR). Calibration models were calculated for glucose, lactate and uric acid concentrations in AF. Birth weight, gestational diabetes mellitus (GDM) and gestational age were classified with the resulting compressed Raman and NIR spectra, u
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37

Bamba, Mamadou. "Development and application of novel computational intelligence techniques to the multivariate analysis of metabolomics biofluids datasets." Thesis, De Montfort University, 2017. http://hdl.handle.net/2086/16407.

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The present decades have witnessed major advances in the development and applications of Computational Intelligence Techniques (CITs), which are commonly associated with metabolomics and omics analyses related to diseases diagnosis. This includes, amongst others, research work performed on Niemann-Pick class 1 and 2 diseases (NPC1 and NPC2 respectively), the severest form of which may involve liver dysfunction. Some of the main reasons for the high frequency of CITs use in metabolomics studies are also related to the development of techniques to detect major discriminatory metabolite variables
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38

Bian, Fang. "Novel Aspects of Fatty Acid Oxidation Uncovered by the Combination of Mass Isotopomer Analysis and Metabolomics." Case Western Reserve University School of Graduate Studies / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=case1144955161.

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39

Banday, Viqar. "Metab-Immune analysis of the non-obese diabetic mouse." Doctoral thesis, Umeå universitet, Immunologi/immunkemi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-119444.

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Type 1A diabetes mellitus or T1D is a chronic disease characterized by T cell mediated destruction of the insulin producing β cells in the islets of Langerhans. The classical symptoms include high glucose levels in urine and blood, polyuria, and polydipsia. Complications associated with T1D include blindness, amputations, and end-stage renal disease, and premature death. The non-obese diabetic (NOD) mouse, first described in 1980, is widely used as a model organism for T1D. T1D disease in the NOD mouse shares a number of similarities to human T1D including dependence on genetic and environment
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40

Pinto, Joana Isabel Monteiro. "Healthy pregnancy and prenatal disorders followed by blood plasma metabolomics." Doctoral thesis, Universidade de Aveiro, 2015. http://hdl.handle.net/10773/14784.

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Doutoramento em Bioquímica<br>The work presented in this thesis aimed to investigate the impact of healthy pregnancy and selected prenatal disorders on the metabolome and lipidome of maternal blood plasma, in order to define new potential biomarkers for non-invasive prediction and diagnosis. Chapter 1 describes the present status and challenges of the clinically relevant prenatal disorders, along with a presentation of the metabolomics strategy applied and the state of the art of metabolomics in prenatal research. All experimental details are described in Chapter 2, comprising sample metadata
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41

Bell, Madison. "Developing Statistical and Analytical Methods for Untargeted Analysis of Complex Environmental Matrices." Thesis, Université d'Ottawa / University of Ottawa, 2021. http://hdl.handle.net/10393/41626.

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The main objective of this thesis was to develop statistical and analytical methods for untargeted analyses of complex environmental matrices like soil and sediment. Untargeted analyses are notoriously difficult to perform in matrices like soil and sediment because of the complexity of organic matter composition within these matrices. This thesis aimed to (1) Develop and compare extraction methods for untargeted analyses of soil and sediment while also developing data handling and quality control protocols; (2) Investigate novel applications of untargeted analyses for environmental classificat
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42

Puschmann, Robert. "Analysis and Quantification of Inositol Poly- and Pyrophosphates by NMR Spectroscopy and Mass Spectrometry." Doctoral thesis, Humboldt-Universität zu Berlin, 2020. http://dx.doi.org/10.18452/21044.

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Inositolpyrophosphate (PP-InsP) sind eine Gruppe sekundärer Signalmoleküle, die in einer Vielzahl zellulärer Prozesse, von Phosphathomeostase über Insulinsignalisierung bis Apoptose eine Rolle spielen. Die Art und Weise, wie PP-InsPs ihre Funktion ausführen, noch weitgehend unbekannt. Deshalb wurden zwei neue analytische Methoden basierend auf Kernspinresonanzspektroskopie und Flüssigchromatographie mit Massenspektrometrie-Kopplung (LCMS) entwickelt. Um die limitierende Sensitivität der Kernresonanzspektroskopie zu umgehen, wurde die Synthese von kernspinresonanzaktivem, 13C-markiertem Inosit
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43

D'Souza, Arun. "PathCaseMAW: A Workbench for Metabolomic Analysis." Case Western Reserve University School of Graduate Studies / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=case1222895452.

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44

Strigun, Alexander [Verfasser], and Elmar [Akademischer Betreuer] Heinzle. "Assessment of in vitro cardiotoxicity using metabolomics and 13C metabolic flux analysis / Alexander Strigun. Betreuer: Elmar Heinzle." Saarbrücken : Saarländische Universitäts- und Landesbibliothek, 2012. http://d-nb.info/1052551424/34.

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45

Al-Zubaidi, Mohammed Abdulridha. "Human stem cell metabolomics : headspace volatile gas analysis as an indicator of self-renewal and differentiation status." Thesis, Keele University, 2018. http://eprints.keele.ac.uk/4371/.

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Self-renewal and an ability to differentiate are key hallmarks of stem cells. Pluripotent stem cells (PSC) have the capacity to differentiate into all cell types found within the three germ layers; ectoderm, endoderm, mesoderm. Multipotent stem cells including mesenchymal stem cells (MSC) customarily differentiate into cell types representative of one germ layer only. Metabolomics focusses on characterising the low molecular weight organic compounds which are by-products of protein-protein interactions and metabolic enzymatic processes; volatile organic compounds (VOCs) emitted from or consume
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46

Jones, Christina Michele. "Applications and challenges in mass spectrometry-based untargeted metabolomics." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/54830.

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Metabolomics is the methodical scientific study of biochemical processes associated with the metabolome—which comprises the entire collection of metabolites in any biological entity. Metabolome changes occur as a result of modifications in the genome and proteome, and are, therefore, directly related to cellular phenotype. Thus, metabolomic analysis is capable of providing a snapshot of cellular physiology. Untargeted metabolomics is an impartial, all-inclusive approach for detecting as many metabolites as possible without a priori knowledge of their identity. Hence, it is a valuable explorato
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47

Emamzadeh, Yazdi Simin. "Metabolomic analysis on anti-HIV activity of selected Helichrysum species." Thesis, University of Pretoria, 2019. http://hdl.handle.net/2263/77900.

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Since the beginning of human civilization, medicinal plants have been used to treat a variety of infectious and non-infectious diseases. The therapeutic properties of phytochemicals have been recognized since ancient human history. The genus Helichrysum Mill. with its attractive flowers consist of an estimated 500‒600 species in the Asteraceae family. In South Africa and Namibia there are about 244‒250 species with tremendous morphological diversity. Several Helichrysum species are widely used by the indigenous population to treat various disorders such as wounds, infections, respiratory condi
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48

Ohtani, Yuta. "Molecular breeding of functional spinaches rich in folate and betacyanin based on metabolome analysis." Kyoto University, 2020. http://hdl.handle.net/2433/253323.

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Kyoto University (京都大学)<br>0048<br>新制・課程博士<br>博士(農学)<br>甲第22487号<br>農博第2391号<br>新制||農||1076(附属図書館)<br>学位論文||R2||N5267(農学部図書室)<br>京都大学大学院農学研究科応用生命科学専攻<br>(主査)教授 植田 充美, 教授 梅澤 俊明, 教授 栗原 達夫<br>学位規則第4条第1項該当
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49

Haggarty, Jennifer. "Biofilm metabolomics : the development of mass spectrometry and chromatographic methodology for the analysis of dual-species pathogenic biofilms." Thesis, University of Glasgow, 2017. http://theses.gla.ac.uk/8616/.

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Polymicrobial diseases arise when multiple microorganisms colonize a host and form multi-species biofilms. Within polymicrobial communities bacteria, fungi, viruses and/or parasites directly and indirectly interact with one another in a multitude of ways. The composition and the interactions between organisms within polymicrobial biofilms govern disease severity and patient outcomes. Polymicrobial infections are of significant interest because of the escalating development of antimicrobial resistance and the increasing involvement polymicrobial biofilms in chronic and systemic infections. The
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50

Huang, Zhengyan. "Differential Abundance and Clustering Analysis with Empirical Bayes Shrinkage Estimation of Variance (DASEV) for Proteomics and Metabolomics Data." UKnowledge, 2019. https://uknowledge.uky.edu/epb_etds/24.

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Mass spectrometry (MS) is widely used for proteomic and metabolomic profiling of biological samples. Data obtained by MS are often zero-inflated. Those zero values are called point mass values (PMVs). Zero values can be further grouped into biological PMVs and technical PMVs. The former type is caused by the absence of components and the latter type is caused by detection limit. There is no simple solution to separate those two types of PMVs. Mixture models were developed to separate the two types of zeros apart and to perform the differential abundance analysis. However, we notice that the mi
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