Relevant bibliographies by topics / Mass spectrometry metabolomic

Academic literature on the topic 'Mass spectrometry metabolomic'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Mass spectrometry metabolomic"

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Tsuchida, Sachio, and Tomohiro Nakayama. "Metabolomics Research in Periodontal Disease by Mass Spectrometry." Molecules 27, no. 9 (April 30, 2022): 2864. http://dx.doi.org/10.3390/molecules27092864.

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Periodontology is a newer field relative to other areas of dentistry. Remarkable progress has been made in recent years in periodontology in terms of both research and clinical applications, with researchers worldwide now focusing on periodontology. With recent advances in mass spectrometry technology, metabolomics research is now widely conducted in various research fields. Metabolomics, which is also termed metabolomic analysis, is a technology that enables the comprehensive analysis of small-molecule metabolites in living organisms. With the development of metabolite analysis, methods using gas chromatography–mass spectrometry, liquid chromatography–mass spectrometry, capillary electrophoresis–mass spectrometry, etc. have progressed, making it possible to analyze a wider range of metabolites and to detect metabolites at lower concentrations. Metabolomics is widely used for research in the food, plant, microbial, and medical fields. This paper provides an introduction to metabolomic analysis and a review of the increasing applications of metabolomic analysis in periodontal disease research using mass spectrometry technology.
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Furina, R. R., N. N. Mitrakova, V. L. Ryzhkov, and I. K. Safiullin. "Metabolomic research in medicine." Kazan medical journal 95, no. 1 (February 15, 2014): 1–6. http://dx.doi.org/10.17816/kmj1445.

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The paper covers the questions of metabolomic research in medicine. The central idea of metabolomics is to identify the specific biomarkers in biological samples for diagnosis of a number of conditions. The biomarkers include volatile organic compounds - metabolites isolated from various tissues and biological fluids (blood, urine, sputum, exhaled air). Main methods of separation and identification of volatile organic compounds (gas chromatography, mass spectrometry, nuclear magnetic resonance spectroscopy) applied in metabolomics, are reviewed. Mass spectrometry and nuclear magnetic resonance spectroscopy are compared as the main methods of volatile metabolites detection. The method of solid phase microextraction, used for sample preparation, is described. The paper reviews laboratory research results aimed at the detection of cancer, chronic infections and inherited diseases biomarkers. The qualitative characteristics of biological sample metabolome taken from patients with different diseases are discussed. Besides, special attention is paid to the possible use of metabolomics in experimental medicine. The results of volatile metabolome changes in cell culture in vitro depending on the additives to nutrient media, β-carotene volatile decomposition products as suspected carcinogens, volatile organic compounds emitted at vertebrates decay are described. In addition, the method of two-dimensional gas chromatography aimed to increase the sensitivity and specificity of metabolomics tests is portrayed. The presented approach adds to early diagnosis of a number of diseases.
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Lokhov, Petr G., Oxana P. Trifonova, Dmitry L. Maslov, and Elena E. Balashova. "In Situ Mass Spectrometry Diagnostics of Impaired Glucose Tolerance Using Label-Free Metabolomic Signature." Diagnostics 10, no. 12 (December 5, 2020): 1052. http://dx.doi.org/10.3390/diagnostics10121052.

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In metabolomics, mass spectrometry is used to detect a large number of low-molecular substances in a single analysis. Such a capacity could have direct application in disease diagnostics. However, it is challenging because of the analysis complexity, and the search for a way to simplify it while maintaining the diagnostic capability is an urgent task. It has been proposed to use the metabolomic signature without complex data processing (mass peak detection, alignment, normalization, and identification of substances, as well as any complex statistical analysis) to make the analysis more simple and rapid. Methods: A label-free approach was implemented in the metabolomic signature, which makes the measurement of the actual or conditional concentrations unnecessary, uses only mass peak relations, and minimizes mass spectra processing. The approach was tested on the diagnosis of impaired glucose tolerance (IGT). Results: The label-free metabolic signature demonstrated a diagnostic accuracy for IGT equal to 88% (specificity 85%, sensitivity 90%, and area under receiver operating characteristic curve (AUC) of 0.91), which is considered to be a good quality for diagnostics. Conclusions: It is possible to compile label-free signatures for diseases that allow for diagnosing the disease in situ, i.e., right at the mass spectrometer without complex data processing. This achievement makes all mass spectrometers potentially versatile diagnostic devices and accelerates the introduction of metabolomics into medicine.
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Patel, Manish, Sonika Pandey, Manoj Kumar, Md Haque, Sikander Pal, and Narendra Yadav. "Plants Metabolome Study: Emerging Tools and Techniques." Plants 10, no. 11 (November 8, 2021): 2409. http://dx.doi.org/10.3390/plants10112409.

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Metabolomics is now considered a wide-ranging, sensitive and practical approach to acquire useful information on the composition of a metabolite pool present in any organism, including plants. Investigating metabolomic regulation in plants is essential to understand their adaptation, acclimation and defense responses to environmental stresses through the production of numerous metabolites. Moreover, metabolomics can be easily applied for the phenotyping of plants; and thus, it has great potential to be used in genome editing programs to develop superior next-generation crops. This review describes the recent analytical tools and techniques available to study plants metabolome, along with their significance of sample preparation using targeted and non-targeted methods. Advanced analytical tools, like gas chromatography-mass spectrometry (GC-MS), liquid chromatography mass-spectroscopy (LC-MS), capillary electrophoresis-mass spectrometry (CE-MS), fourier transform ion cyclotron resonance-mass spectrometry (FTICR-MS) matrix-assisted laser desorption/ionization (MALDI), ion mobility spectrometry (IMS) and nuclear magnetic resonance (NMR) have speed up precise metabolic profiling in plants. Further, we provide a complete overview of bioinformatics tools and plant metabolome database that can be utilized to advance our knowledge to plant biology.
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Szczerbinski, Lukasz, Gladys Wojciechowska, Adam Olichwier, Mark A. Taylor, Urszula Puchta, Paulina Konopka, Adam Paszko, et al. "Untargeted Metabolomics Analysis of the Serum Metabolic Signature of Childhood Obesity." Nutrients 14, no. 1 (January 4, 2022): 214. http://dx.doi.org/10.3390/nu14010214.

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Obesity rates among children are growing rapidly worldwide, placing massive pressure on healthcare systems. Untargeted metabolomics can expand our understanding of the pathogenesis of obesity and elucidate mechanisms related to its symptoms. However, the metabolic signatures of obesity in children have not been thoroughly investigated. Herein, we explored metabolites associated with obesity development in childhood. Untargeted metabolomic profiling was performed on fasting serum samples from 27 obese Caucasian children and adolescents and 15 sex- and age-matched normal-weight children. Three metabolomic assays were combined and yielded 726 unique identified metabolites: gas chromatography–mass spectrometry (GC–MS), hydrophilic interaction liquid chromatography coupled to mass spectrometry (HILIC LC–MS/MS), and lipidomics. Univariate and multivariate analyses showed clear discrimination between the untargeted metabolomes of obese and normal-weight children, with 162 significantly differentially expressed metabolites between groups. Children with obesity had higher concentrations of branch-chained amino acids and various lipid metabolites, including phosphatidylcholines, cholesteryl esters, triglycerides. Thus, an early manifestation of obesity pathogenesis and its metabolic consequences in the serum metabolome are correlated with altered lipid metabolism. Obesity metabolite patterns in the adult population were very similar to the metabolic signature of childhood obesity. Identified metabolites could be potential biomarkers and used to study obesity pathomechanisms.
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Deutsch, Jessica M., Madison O. Green, Priyanka Akavaram, Ashleigh C. Davis, Sarth S. Diskalkar, Isabelle A. Du Plessis, Hannah A. Fallon, et al. "Limited Metabolomic Overlap between Commensal Bacteria and Marine Sponge Holobionts Revealed by Large Scale Culturing and Mass Spectrometry-Based Metabolomics: An Undergraduate Laboratory Pedagogical Effort at Georgia Tech." Marine Drugs 21, no. 1 (January 14, 2023): 53. http://dx.doi.org/10.3390/md21010053.

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Sponges are the richest source of bioactive organic small molecules, referred to as natural products, in the marine environment. It is well established that laboratory culturing-resistant symbiotic bacteria residing within the eukaryotic sponge host matrix often synthesize the natural products that are detected in the sponge tissue extracts. However, the contributions of the culturing-amenable commensal bacteria that are also associated with the sponge host to the overall metabolome of the sponge holobiont are not well defined. In this study, we cultured a large library of bacteria from three marine sponges commonly found in the Florida Keys. Metabolomes of isolated bacterial strains and that of the sponge holobiont were compared using mass spectrometry to reveal minimal metabolomic overlap between commensal bacteria and the sponge hosts. We also find that the phylogenetic overlap between cultured commensal bacteria and that of the sponge microbiome is minimal. Despite these observations, the commensal bacteria were found to be a rich resource for novel natural product discovery. Mass spectrometry-based metabolomics provided structural insights into these cryptic natural products. Pedagogic innovation in the form of laboratory curricula development is described which provided undergraduate students with hands-on instruction in microbiology and natural product discovery using metabolomic data mining strategies.
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Gil-de-la-Fuente, Alberto, Maricruz Mamani-Huanca, María C. Stroe, Sergio Saugar, Alejandra Garcia-Alvarez, Axel A. Brakhage, Coral Barbas, and Abraham Otero. "Aspergillus Metabolome Database for Mass Spectrometry Metabolomics." Journal of Fungi 7, no. 5 (May 15, 2021): 387. http://dx.doi.org/10.3390/jof7050387.

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The Aspergillus Metabolome Database is a free online resource to perform metabolite annotation in mass spectrometry studies devoted to the genus Aspergillus. The database was created by retrieving and curating information on 2811 compounds present in 601 different species and subspecies of the genus Aspergillus. A total of 1514 scientific journals where these metabolites are mentioned were added as meta-information linked to their respective compounds in the database. A web service to query the database based on m/z (mass/charge ratio) searches was added to CEU Mass Mediator; these queries can be performed over the Aspergillus database only, or they can also include a user-selectable set of other general metabolomic databases. This functionality is offered via web applications and via RESTful services. Furthermore, the complete content of the database has been made available in .csv files and as a MySQL database to facilitate its integration into third-party tools. To the best of our knowledge, this is the first database and the first service specifically devoted to Aspergillus metabolite annotation based on m/z searches.
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Lains, Ines, Kevin M. Mendez, João Q. Gil, John B. Miller, Rachel S. Kelly, Patrícia Barreto, Ivana K. Kim, et al. "Urinary Mass Spectrometry Profiles in Age-Related Macular Degeneration." Journal of Clinical Medicine 11, no. 4 (February 11, 2022): 940. http://dx.doi.org/10.3390/jcm11040940.

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We and others have shown that patients with different severity stages of age-related macular degeneration (AMD) have distinct plasma metabolomic profiles compared to controls. Urine is a biofluid that can be obtained non-invasively and, in other fields, urine metabolomics has been proposed as a feasible alternative to plasma biomarkers. However, no studies have applied urinary mass spectrometry (MS) metabolomics to AMD. This study aimed to assess urinary metabolomic profiles of patients with different stages of AMD and a control group. We included two prospectively designed, multicenter, cross-sectional study cohorts: Boston, US (n = 185) and Coimbra, Portugal (n = 299). We collected fasting urine samples, which were used for metabolomic profiling (Ultrahigh Performance Liquid chromatography—Mass Spectrometry). Multivariable logistic and ordinal logistic regression models were used for analysis, accounting for gender, age, body mass index and use of AREDS supplementation. Results from both cohorts were then meta-analyzed. No significant differences in urine metabolites were seen when comparing patients with AMD and controls. When disease severity was considered as an outcome, six urinary metabolites differed significantly (p < 0.01). In particular, two of the metabolites identified have been previously shown by our group to also differ in the plasma of patients of AMD compared to controls and across severity stages. While there are fewer urinary metabolites associated with AMD than plasma metabolites, this study identified some differences across stages of disease that support previous work performed with plasma, thus highlighting the potential of these metabolites as future biomarkers for AMD.
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Fukushima, Atsushi, Mikiko Takahashi, Hideki Nagasaki, Yusuke Aono, Makoto Kobayashi, Miyako Kusano, Kazuki Saito, Norio Kobayashi, and Masanori Arita. "Development of RIKEN Plant Metabolome MetaDatabase." Plant and Cell Physiology 63, no. 3 (December 17, 2021): 433–40. http://dx.doi.org/10.1093/pcp/pcab173.

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Abstract The advancement of metabolomics in terms of techniques for measuring small molecules has enabled the rapid detection and quantification of numerous cellular metabolites. Metabolomic data provide new opportunities to gain a deeper understanding of plant metabolism that can improve the health of both plants and humans that consume them. Although major public repositories for general metabolomic data have been established, the community still has shortcomings related to data sharing, especially in terms of data reanalysis, reusability and reproducibility. To address these issues, we developed the RIKEN Plant Metabolome MetaDatabase (RIKEN PMM, http://metabobank.riken.jp/pmm/db/plantMetabolomics), which stores mass spectrometry-based (e.g. gas chromatography–MS-based) metabolite profiling data of plants together with their detailed, structured experimental metadata, including sampling and experimental procedures. Our metadata are described as Linked Open Data based on the Resource Description Framework using standardized and controlled vocabularies, such as the Metabolomics Standards Initiative Ontology, which are to be integrated with various life and biomedical science data using the World Wide Web. RIKEN PMM implements intuitive and interactive operations for plant metabolome data, including raw data (netCDF format), mass spectra (NIST MSP format) and metabolite annotations. The feature is suitable not only for biologists who are interested in metabolomic phenotypes, but also for researchers who would like to investigate life science in general through plant metabolomic approaches.
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Gamache, Paul H., David F. Meyer, Michael C. Granger, and Ian N. Acworth. "Metabolomic applications of electrochemistry/Mass spectrometry." Journal of the American Society for Mass Spectrometry 15, no. 12 (December 2004): 1717–26. http://dx.doi.org/10.1016/j.jasms.2004.08.016.

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Dissertations / Theses on the topic "Mass spectrometry metabolomic"

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Yang, Zhiyi. "Mass spectrometry-based metabolomic and lipidomic characterization of esophageal cancer and lung cancer." HKBU Institutional Repository, 2020. https://repository.hkbu.edu.hk/etd_oa/819.

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Esophageal cancer and lung cancer are among the most common cancers worldwide with millions of new cases annually. Esophageal cancer patients at an advanced stage suffer from a poor five-year survival rate. However, only fewer than 30% of esophageal cancer cases were diagnosed at an early stage. For lung cancer, malignant pleural effusion (MPE) is an important hallmark for late-stage patients with metastasis. However, other causes of pleural effusions including tuberculosis bring difficulties in the diagnosis of MPE. It is necessary to develop novel diagnostic biomarkers and elucidate the pathological mechanism of esophageal cancer and lung cancer. Metabolic reprogramming is an emerging hallmark of cancer. It has been clear that metabolites play a critical role in cancer development and impose vulnerabilities that could be targeted for cancer therapy. The overall objective of this study is to comprehensively characterize the metabolic dysregulation in esophageal cancer and lung cancer for biomarker discovery and pathological elucidation, by using liquid chromatography--mass spectrometry (LC-MS)-based metabolomics and lipidomics. Paired tumors and normal adjacent tissues from esophageal squamous-cell carcinoma (ESCC) patients were first analyzed through global metabolomic and lipidomic profiling. Tumors were clearly separated from the normal tissues based on the partial least-square discriminant analysis (PLS-DA) model (R2Y >0.85 and Q2Y >0.79 in metabolomic profiling and R2Y >0.70 and Q2Y >0.67 in lipidomic profiling). A preliminary list of 41 polar metabolites and 65 lipids were identified to be significantly perturbed in tumor tissues. Kynurenine, spermidine, citicoline, as well as several glucosylceramides and phosphatidylcholines (PC) showed excellent predictive potential with area under curve (AUC) values better than 0.95 in receiver operating characteristic (ROC) models. Major elevated metabolic pathways were polyamine biosynthesis, glycerophospholipid metabolism, methionine mechanism, arginine and proline mechanism, and kynurenine metabolism, suggesting active amino acid biosynthesis and lipid biosynthesis in ESCC. The potential biomarkers and dysregulated pathways discovered above in ESCC tissue was further validated using targeted metabolomic, lipidomic and proteomic profiling. Polyamine biosynthesis was found to be activated in ESCC through the overexpression of tumor promoting ornithine decarboxylase and spermidine/spermine synthases. Upregulated levels of S-adenosylmethionine and DNA (cytosine-5)-methyltransferase 1 implied DNA hypermethylation in ESCC. Elevated purines in tumors were generated through the overexpression of methylenetetrahydrofolate dehydrogenases. Active phospholipid biosynthesis in tumors was promoted by overexpression of choline transporters and synthase of citicoline, which may accelerate the tumor growth. Dysregulation of coenzyme A species with different fatty acyl chains showed the same trend as of phospholipids, implying the specific activation of relevant acyltransferases in the phospholipid remodeling pathway. Moreover, essential amino acids exhibited a higher upregulation trends in patients with high-grade tumor or with cancer recurrence. Collectively, this study revealed the detailed metabolic dysregulations in ESCC tumor tissues, discovered potential metabolite biomarkers and identified therapeutic targets of ESCC. In order to explore the clinical application of the discovered biomarkers, metabolomic and lipidomic profiling was further performed on ESCC plasma samples. Eight metabolites were found to be simultaneously upregulated in ESCC tumors and plasma samples, indicating their potential as tumor-derived plasma biomarkers. Among them, a panel of five tumor-derived plasma biomarkers consisting of arginine, acetylspermidine, methylguanosine, dimethylguanosine and cystine showed good diagnostic potential in the cross validation. These biomarkers are related with polyamine biosynthesis and purine metabolism, which are critical to support tumor growth. For lung cancer, MPE from lung adenocarcinoma patients were investigated by LC-MS/MS-based metabolomic and lipidomic profiling. In PLS-DA models, the MPE samples were clearly separated from benign pleural effusion samples from pulmonary tuberculosis patients. A group of 17 polar metabolites and 45 lipids were identified to be significantly perturbed in MPE. For diagnostic purposes, ether lipid biomarkers, including PCs, lyso-PCs and phosphatidylethanolamines, showed an excellent predictive ability with the highest AUC value of 0.953 in ROC models. Furthermore, downregulated ether lipids and upregulated oxidized polyunsaturated fatty acids in MPE reflected the elevated oxidative stress and peroxisome disorder in lung cancer patients, which offers deeper understanding in lung cancer pathology.
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Orlowsky, Andrea. "Development of an ambient ionisation mass spectrometry method for metabolomic analysis of blood microsamples." Thesis, Orlowsky, Andrea (2021) Development of an ambient ionisation mass spectrometry method for metabolomic analysis of blood microsamples. Masters by Research thesis, Murdoch University, 2021. https://researchrepository.murdoch.edu.au/id/eprint/63786/.

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Atmospheric Solids Analysis Probe mass spectrometry (ASAP-MS) has applications in food science, pharmaceuticals and toxicology but has not been applied to global metabolic profiling of biofluids. Coupled with dried blood microsampling techniques, ASAP-MS may provide rapid blood sample analyses benefitting medical and forensic sciences. This study aimed to develop a methodology utilising ASAP-MS for the metabolomic analyses of blood samples and comparison of venipuncture (serum and plasma) and capillary dried blood microsamples (DBM) using dried blood spot (DBS) and volumetric absorptive microsampling (VAM) matrices. Method development and optimisation on the Waters RADIAN-ASAP® assessed desolvation gas temperature, cone voltage, and corona current. The optimised parameters were applied to caffeine and lipid standards to determine the reproducibility of the instrument. The sample extraction methods (solvent, dilution, storage vial) and sampling regime for introducing samples into the ion source (sample volume, cooling mechanisms between acquisition) were assessed. The optimised methods were applied to venipuncture and capillary microsamples, and results were compared to ultra-high performance liquid chromatography-mass spectrometry {UPLC-MS). The coefficient of variation {CV) and principal component analysis (PCA) was used to assess analytical reproducibility. ASAP-MS parameters of 600 °C gas temperature, cone voltage of 15 V and corona current of 4 µA generate optimal signal intensity. Methanol extractions of caffeine in polypropylene microcentrifuge tubes produced the most reproducible data {CV = 4.7%), compared to extractions with acetonitrile {CV = 13.5%), isopropyl alcohol {CV = 15.2%) or methanol extractions in glass {CV= 8.1%). A methanol quench-bath to cool the glass sampler between acquisitions shortened the analytical run time while improving reproducibility {CV = 2.3%). UP LC-MS analysis of the lipid compound mixture detected 52 lipid species, of which ASAP-MS reproducibly detected 47 across both polarities. ASAP-MS detected fewer molecular features with a CV<30% (n = 583 positive, n = 571 negative) than UPLC-MS (n = 937 positive, n = 1392 negative) when analysing venipuncture and capillary DBM. ASAP-MS detects more molecular features, with higher CV%, in capillary DBM than venipuncture samples. A simplified field extraction technique yields results equivalent to laboratory-based extractions for DBM. While early experimental results are promising, further evaluations should focus on reducing the variability in QC samples through appropriate data pre-processing pipelines, and the inclusion of an internal standard for data normalisation.
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Delabrière, Alexis. "New approaches for processing and annotations of high-throughput metabolomic data obtained by mass spectrometry." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLS359/document.

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La métabolomique est une approche de phénotypage présentant des perspectives prometteuses pour le diagnostic et le suivi de plusieurs pathologies. La technique d'observation la plus utilisée en métabolomique est la spectrométrie de masse (MS). Des développements technologiques récents ont considérablement accru la taille et la complexité des données. Cette thèse s'est concentrée sur deux verrous du traitement de ces données, l'extraction de pics des données brutes et l'annotation des spectres. La première partie de la thèse a porté sur le développement d'un nouvel algorithme de détection de pics pour des données d'analyse par injection en flot continue (Flow Injection Analysis ou FIA), une technique haut-débit. Un modèle dérivé de la physique de l'instrument de mesure prenant en compte la saturation de l'appareil a été proposé. Ce modèle inclut notamment un pic commun à tous les métabolites et un phénomène de saturation spécifique pour chaque ion. Ce modèle a permis de créer une workow qui estime ce pic commun sur des signaux peu bruités, puis l'utilise dans un filtre adapté sur tous les signaux. Son efficacité sur des données réelles a été étudiée et il a été montré que proFIA était supérieur aux algorithmes existants, avait une bonne reproductibilité et était très proche des mesures manuelles effectuées par un expert sur plusieurs types d'appareils. La seconde partie de cette thèse a porté sur le développement d'un outil de détection des similarités structurales d'un ensemble de spectre de fragmentation. Pour ce faire une nouvelle représentation sous forme de graphe a été proposée qui ne nécessite pas de connaître la composition atomique du métabolite. Ces graphes sont de plus une représentation naturelle des spectres MS/MS. Certaines propriétés de ces graphes ont ensuite permis de créer un algorithme efficace de détection des sous graphes fréquents (FSM) basé sur la génération d'arbres couvrants de graphes. Cet outil a été testé sur deux jeux de données différents et a prouvé sa vitesse et son interprétabilité comparé aux algorithmes de l'état de l'art. Ces deux algorithmes ont été implémentés dans des package R, proFIA et mineMS2 disponibles à la communauté
Metabolomics is a phenotyping approach with promising prospects for the diagnosis and monitoring of several diseases. The most widely used observation technique in metabolomics is mass spectrometry (MS). Recent technological developments have significantly increased the size and complexity of data. This thesis focused on two bottlenecks in the processing of these data, the extraction of peaks from raw data and the annotation of MS/MS spectra. The first part of the thesis focused on the development of a new peak detection algorithm for Flow Injection Analysis (FIA) data, a high-throughput metabolomics technique. A model derived from the physics of the mass spectrometer taking into account the saturation of the instrument has been proposed. This model includes a peak common to all metabolites and a specific saturation phenomenon for each ion. This model has made it possible to create a workflow that estimates the common peak on well-behaved signals, then uses it to perform matched filtration on all signals. Its effectiveness on real data has been studied and it has been shown that proFIA is superior to existing algorithms, has good reproducibility and is very close to manual measurements made by an expert on several types of devices. The second part of this thesis focused on the development of a tool for detecting the structural similarities of a set of fragmentation spectra. To do this, a new graphical representation has been proposed, which does not require the metabolite formula. The graphs are also a natural representation of MS/MS spectra. Some properties of these graphs have then made it possible to create an efficient algorithm for detecting frequent subgraphs (FSM) based on the generation of trees covering graphs. This tool has been tested on two different data sets and has proven its speed and interpretability compared to state-of-the-art algorithms. These two algorithms have been implemented in R, proFIA and mineMS2 packages available to the community
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Cardoso, Patrícia [UNESP]. "Metabolomic evaluation of interactions in rhizosphere between Senna spectabilis and associated microorganisms." Universidade Estadual Paulista (UNESP), 2015. http://hdl.handle.net/11449/135954.

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Senna spectabilis é uma planta medicinal detentora de inumeras aplicações terapêuticas tradicionais. Como uma fonte rica de metabólitos com atividades biológicas a rizosfera de S. spectabilis foi o objeto de estudo neste trabalho. O conhecimento da população da microbiota da rizosfera contribuiu para a compreensão das interações que poderiam ocorrer nessa região dinâmica e rica do solo. Um número de métodos moleculares têm sido desenvolvidos nos últimos anos para o estudo da comunidade microbiana utilizando PCR no sequenciamento das regiões de rRNA 16S e ITS. Os objetivos deste estudo foram identificar a população microbiana da rizosfera de mudas de S. spectabilis e em sequência selecionar algumas linhagens e submetê-las a cultivos mistos em meio sólido. A identificação foi conseguida através do 454-pyrosequenciamento das raízes e sequenciamento por iluminaseq das soluções nutritivas em que as plantas foram cultivadas. Os resultados mostraram uma população rica e variada de bactérias e fungos, com destaque aos filos Verrucomicrobia, Proteobacterias, Firmicutes para as bactérias e para os fungos os filos Basidiomycota e Ascomycota. Espécies selecionadas de fungos foram cultivados em meio Czapek-dox líquido e uma análise do perfil metabólico foi conduzido utilizando HPLC-DAD e HPLC-DAD/MS. Entre os metabólitos detectados nessa pré-avaliação estão os derivados policetidicos produzidos por Fusarium: zearalenonas, conhecidas micotoxinas produzidas por uma grande quantidade de espécies deste gênero. Estes resultados induziram a seleção de cinco fungos de Fusarium, Paecilomyces e uma espécie de bactéria, Burkholderia sp para o cultivo misto em meio de agar sólido. O objetivo foi detectar mudanças na produção metabólica e analisar as alterações esperadas por RMN de 1H associados aos métodos quimiométricos de análise PCA e PLS e tambem por LC/MS. Uma série de...
Senna spectabilis is a medicinal plant with innumeral traditional therapeutic applications. As a source of rich metabolites with biological activities S. spectabilis' rhizosphere was the object of study in this work. The knowledge of the population of the microbiota of the rhizosphere contributes to the understanding of the interactions that may occur in this dynamic and rich region of the soil. A number of molecular methods have been developed in recent years to study the microbial community using PCR associated in the sequencing of 16S and ITS regions of rRNA. The objectives of this study were to identify the microbial population of rhizosphere seedlings of S. spectabilis and in sequence to select a few strains and submit them to co-cultures in a solid medium. Identification was achieved with 454- pyrosequencing of roots and iluminaseq sequencing of the hydroponic solutions, in which the seedlings were cultivated. Results showed a rich and varied population of bacteria and fungi notably the bacteria phyla Verrucromiobia, Proteobacteria, Firmicutes and for the fungi the phyla Basidiomycota and Ascomycota. Selected species of fungi were cultivated in liquid Czapek-dox medium and a screening of the metabolic profile was conducted using HPLC-DAD and HPLC-DAD/MS. Among the metabolites detected in this previous evaluation are the polyketides derivates produced by Fusarium: zearalenones known as mycotoxins produced by many species of this genus. These results have induced to the selection of five fungi from Fusarium, Paecilomyces and one specie of bacteria, Burkholderia sp for mix cultivation in agar solid medium. The aim was to detect changes in the metabolic production and analyse the expected alterations by 1H NMR associated with chemometric method PCA and PLS and LC/MS. A series of enniatin could be detected by LC/MS indicating that co-culturing induced the modifications in the...
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Cardoso, Patrícia. "Metabolomic evaluation of interactions in rhizosphere between Senna spectabilis and associated microorganisms /." Araraquara, 2015. http://hdl.handle.net/11449/135954.

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Banca: Mônica Tallarico Pupo
Banca: Christopher Scott Jeffrey
Resumo: Senna spectabilis é uma planta medicinal detentora de inumeras aplicações terapêuticas tradicionais. Como uma fonte rica de metabólitos com atividades biológicas a rizosfera de S. spectabilis foi o objeto de estudo neste trabalho. O conhecimento da população da microbiota da rizosfera contribuiu para a compreensão das interações que poderiam ocorrer nessa região dinâmica e rica do solo. Um número de métodos moleculares têm sido desenvolvidos nos últimos anos para o estudo da comunidade microbiana utilizando PCR no sequenciamento das regiões de rRNA 16S e ITS. Os objetivos deste estudo foram identificar a população microbiana da rizosfera de mudas de S. spectabilis e em sequência selecionar algumas linhagens e submetê-las a cultivos mistos em meio sólido. A identificação foi conseguida através do 454-pyrosequenciamento das raízes e sequenciamento por iluminaseq das soluções nutritivas em que as plantas foram cultivadas. Os resultados mostraram uma população rica e variada de bactérias e fungos, com destaque aos filos Verrucomicrobia, Proteobacterias, Firmicutes para as bactérias e para os fungos os filos Basidiomycota e Ascomycota. Espécies selecionadas de fungos foram cultivados em meio Czapek-dox líquido e uma análise do perfil metabólico foi conduzido utilizando HPLC-DAD e HPLC-DAD/MS. Entre os metabólitos detectados nessa pré-avaliação estão os derivados policetidicos produzidos por Fusarium: zearalenonas, conhecidas micotoxinas produzidas por uma grande quantidade de espécies deste gênero. Estes resultados induziram a seleção de cinco fungos de Fusarium, Paecilomyces e uma espécie de bactéria, Burkholderia sp para o cultivo misto em meio de agar sólido. O objetivo foi detectar mudanças na produção metabólica e analisar as alterações esperadas por RMN de 1H associados aos métodos quimiométricos de análise PCA e PLS e tambem por LC/MS. Uma série de...
Abstract: Senna spectabilis is a medicinal plant with innumeral traditional therapeutic applications. As a source of rich metabolites with biological activities S. spectabilis' rhizosphere was the object of study in this work. The knowledge of the population of the microbiota of the rhizosphere contributes to the understanding of the interactions that may occur in this dynamic and rich region of the soil. A number of molecular methods have been developed in recent years to study the microbial community using PCR associated in the sequencing of 16S and ITS regions of rRNA. The objectives of this study were to identify the microbial population of rhizosphere seedlings of S. spectabilis and in sequence to select a few strains and submit them to co-cultures in a solid medium. Identification was achieved with 454- pyrosequencing of roots and iluminaseq sequencing of the hydroponic solutions, in which the seedlings were cultivated. Results showed a rich and varied population of bacteria and fungi notably the bacteria phyla Verrucromiobia, Proteobacteria, Firmicutes and for the fungi the phyla Basidiomycota and Ascomycota. Selected species of fungi were cultivated in liquid Czapek-dox medium and a screening of the metabolic profile was conducted using HPLC-DAD and HPLC-DAD/MS. Among the metabolites detected in this previous evaluation are the polyketides derivates produced by Fusarium: zearalenones known as mycotoxins produced by many species of this genus. These results have induced to the selection of five fungi from Fusarium, Paecilomyces and one specie of bacteria, Burkholderia sp for mix cultivation in agar solid medium. The aim was to detect changes in the metabolic production and analyse the expected alterations by 1H NMR associated with chemometric method PCA and PLS and LC/MS. A series of enniatin could be detected by LC/MS indicating that co-culturing induced the modifications in the...
Doutor
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6

Childs, Stephen Andrew. "Liquid chromatography and mass spectrometry based metabolomic investigations of sulphur containing metabolites in human prostate cancer." Thesis, University of Sunderland, 2015. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.702720.

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Low molecular weight thiols constitute a biologically important class of metabolites, some of which play a principal role in cellular defence against oxidative stress. The aetiology of cancer is generally linked with DNA mutation; often as a result of oxidative damage when antioxidant defences are dysregulated. Accordingly, the investigation of redox metabolites within cancer models is relevant to better understand the initiation and development of the disease. Specifically, when detected at an early stage, prostate cancer treatment by androgen ablation often carries a high rate of success. After a period of 18-24 months however, the disease is characterised by a shift to androgen insensitivity, and mortality increases significantly in advanced states. Hence, early detection and improved understanding of the changes in metabolism which accommodate a shift to androgen insensitivity and increased rate of proliferation are also relevant. Metabolomic profiling is a rapidly expanding field of systems biology which combines sensitive, high resolution equipment with powerful chemometric data processing to determine alterations in metabolic pathways in response to stress factors, including internal and external stimuli; thus providing valuable insight into the mechanisms involved in disease development. Whilst this approach has been applied to cancer research in the past to discover new drug targets and putative biomarkers for early detection, the complex metabolic pathways involved in cancer progression are not fully understood. Moreover, recently reported dysregulation of redox status and glutathione content in prostate cell models suggested significantly altered metabolism in some cancers. In order to better understand the metabolic events occurring, the aim of this study was to detect, and quantify where possible the sulphur-containing metabolites in prostate cancer cell models. Targeted metabolomic based methods using derivatisation with a specific reagent (DTNB) were developed and validated to provide comprehensive quantitative measurements of reduced thiols in cell models representing androgen sensitive (LNCaP) and androgen insensitive (DU145) disease, in addition to control cells representing healthy prostate epithelium (PZ-HPV-7). Furthermore, metabolomic profiling was performed using these cell lines to identify up and down regulation of key sulphur containing metabolites including disulphides and thioethers. Measurements of glutathione and the oxidised form indicated increased oxidative stress in LNCaP cells, whilst DU145 exhibited signs of adaptation to oxidative stress by up-regulation of glutathione biosynthesis. Investigation of the metastatic, androgen insensitive cell line, LNCaP, revealed a significant disparity in total thiol content and glutathione, suggesting the presence of additional thiol metabolites. Methods were developed and refined to determine the presence of cysteine, cysteinylglycine and an additional previously unidentified thiol species in LNCaP cells. Quantitative HPLC methods were validated and used to determine the concentration of individual thiol components in each cell line, successfully accounting for the total thiol content for the first time. The control cell contained 0.5 (± 0.03) and 6.3 (± 0.14) femtomoles per cell of cysteine and glutathione respectively, DU145 cells contained 0.3 (± 0.1) and 32.3 (± 2.3) femtomoles per cell of cysteine and glutathione respectively, and LNCaP cells contained 2.7 (± 0.05), and 8.3 (± 0.73) femtomoles per cell of cysteine and glutathione respectively. LNCaP cells additionally contained 0.8 (± 0.1) femtomoles per cell of cysteinylglycine. Further investigations proved that the unknown thiol (compound x) was a molecule of cysteine and glycerate linked by a peptide bond. Through examination of metabolite databases and chemical literature it was determined that the molecule had not previously been reported. Profiling of the cells highlighted this metabolite as a key component of the LNCaP metabolic fingerprint, in addition to other metabolites with roles in cell energy production. The developed methods stand as potentially useful tools for the sensitive detection and quantitation of thiols and for metabolomic investigations in various cell lines. Detection of a new thiol, cysteinyl-glycerate, in LNCaP cells warrants further investigations into the biological role of this metabolite and the potential as a putative biomarker.
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Vallabhaneni, Prashanthi. "Metabolomic approaches to understanding the auxin and ethylene response in Arabidopsis roots." Thesis, Virginia Tech, 2012. http://hdl.handle.net/10919/76838.

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Non-targeted metabolite profiling by liquid chromatography-mass spectrometry (LC-MS) was used to determine the metabolite responses of Arabidopsis roots to auxin or ethylene. Crosstalk between these hormones regulates many important physiological processes in plants, including the initiation of lateral root formation and the response to gravity. These occur in part through alterations in the levels of flavonoids, specialized plant metabolites that have been shown to act as negative regulators of auxin transport. However, much remains to be learned about auxin and ethylene responses at the level of the metabolome. LC-MS analysis showed that a number of ions changed in response to both hormones in seedling roots. Although classes of specialized metabolites such as flavonols and glucosinolates change in abundance in response to both auxin and ethylene, there was little overlap with regard to the specific metabolites affected. These data will be integrated with information from transcriptomic and proteomic experiments to develop framework models that connect phytohormones and specialized metabolism with specific physiological processes. Previous studies by imaging techniques have shown that flavonols increase in response to both auxin and ethylene in the root elongation zone, but LC-MS showed that flavonols decreased in abundance in response to these hormones. Therefore a method was developed for targeted metabolite profiling of flavonols in individual root tips by flow injection electrospray mass spectrometry. This method uncovered spatial differences in metabolic profiles that were masked in analyses of whole roots or seedlings, and verified that flavonols increase in response to these hormones in root tips.
Master of Science
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Marsol, i. Vall Alexis. "Gas chromatography-mass spectrometry for the analysis of metabolomic compounds in agrifood products. New methods and applications." Doctoral thesis, Universitat de Lleida, 2017. http://hdl.handle.net/10803/403491.

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Aquesta Tesi Doctoral se centra en el desenvolupament de nous mètodes de cromatografia de gasos acoblada a tècniques d'espectrometria de masses (GC-MS) i a l'aplicació d'alguns mètodes ja existents a l'anàlisi de mostres de fruites i derivats. La tesi es divideix en tres parts segons els enfocaments estudiats. Inicialment, es va desenvolupar un mètode de cromatografia de gasos bidimensional comprensiva (GC×GC-MS) en la qual es van provar diverses configuracions de columnes. A la segona part de la Tesi, es van desenvolupar tres nous mètodes basats en la derivatització al port d'injecció. La primera va consistir en l’anàlisi selectiu de 17 polifenols glicosilats i no glicosilats en mostres de fruita i suc de fruita. El segon mètode es va destinar a l'anàlisi de HMF i patulina, dos compostos utilitzats com a marcadors de qualitat en la indústria dels sucs de fruites. L'últim mètode desenvolupat en aquesta part es va centrar en la fracció lipofílica lliure de sucs de fruita. En aquest cas, una microextracció líquid-líquid dispersiva (DLLME) va precedir a la derivatització en el port. La tercera part es va centrar en l'anàlisi dels compostos volàtils i semi-volàtils de diversos derivats de la fruita, a saber, fibres de fruita derivades de la indústria dels sucs i quatre mostres de sucs de préssec consistents en dues varietats (groc i vermell) i dos procediments d'elaboració per a cada varietat (recentment liquat i comercial).
This Doctoral Thesis focuses on the development of novel gas chromatography coupled to mass spectrometry (GC-MS) techniques and the application of some existing methods to the analysis of fruit and fruit-derived samples. The thesis is divided in three parts attending the approaches studied. Initially, a comprehensive two-dimensional gas chromatography (GC×GC-MS) method was developed by testing several column configurations to analyse apples and peaches. In the second part of the Thesis, three new methods based on injection-port derivatization were developed. The first consisted on a targeted analysis of 17 glycosylated and non-glycosylated polyphenols in fruit and fruit juice samples. The second method was devoted to the analysis of HMF and patulin, two compounds used as markers of quality in the fruit juice industry. The last method developed in this part was focused on the free lipophilic fraction of fruit juices. In this case, a dispersive liquid-liquid microextraction (DLLME) preceded in-port derivatization. The third part was devoted to the analysis of volatile and semi-volatile compounds in several fruit-derived products, namely fruit fibres deriving from the juice industry and four samples of peach juices consisting in two varieties (yellow and red-fleshed) and two distinct processing procedures for each variety (freshly blended and commercial).
Esta Tesis Doctoral se centra en el desarrollo de nuevos métodos de cromatografía de gases acoplada a técnicas de espectrometría de masas (GC-MS) y a la aplicación de algunos métodos existentes al análisis de muestras de frutas y derivados. La tesis se divide en tres partes según los enfoques estudiados. Inicialmente, se desarrolló un método de cromatografía de gases bidimensional comprensiva (GC×GC-MS) en la que se probaron varias configuraciones de columnas. En la segunda parte de la Tesis, se desarrollaron tres nuevos métodos basados en la derivatización en el puerto de inyección. La primera consistió en un análisis selectivo de 17 polifenoles glicosilados y no glicosilados en muestras de fruta y zumo de fruta. El segundo método se dedicó al análisis de HMF y patulina, dos compuestos utilizados como marcadores de calidad en la industria del zumo de frutas. El último método desarrollado en esta parte se centró en la fracción lipofílica libre de zumos de fruta. En este caso, una microextracción líquido-líquido dispersiva (DLLME) precedió a la derivatización en el puerto. La tercera parte se dedicó al análisis de los compuestos volátiles y semi-volátiles de varios derivados de la fruta, a saber, fibras de fruta derivadas de la industria de los zumos y cuatro muestras de zumos de melocotón consistentes en dos variedades (amarillo y rojo) y dos procedimientos de elaboración para cada variedad (recién licuado y comercial).
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Alonezi, Sanad M. Z. "Metabolomic profiling of the effects of melittin and cisplatin on ovarian cancer cells using high resolution mass spectrometry." Thesis, University of Strathclyde, 2017. http://digitool.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=28650.

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Over the last few years, metabolomics has come to play an increasingly important part in many fields of research, notably medical studies. However, there is a dearth of research on metabolomics in the area of ovarian cancer and the increase in anti-cancer (platinum) drug resistance. Thus further studies on the modes of anticancer action and the mechanisms of resistance of ovarian cancer cells at the metabolome level are needed. The aim of this study was to characterise the metabolic profiles of two human ovarian cancer cell lines, A2780 (cisplatin-sensitive) and A2780CR (cisplatin-resistant), in response to their exposure to melittin, cisplatin and melittin-cisplatin combination therapy. It has been suggested that melittin may have potential as an anti-cancer therapy; combining cisplatin and melittin may increase response and tolerability in cancer treatment, as well as reducing drug resistance. The A2780 and A2780CR cell lines were treated with sub-lethal doses of melittin, cisplatin and melittin-cisplatin combination therapy for 24 hours before extraction and global metabolite analysis of cell lysates by LC-MS using a HPLC system. Phenotype MicroArray™ experiments were also applied in order to test carbon substrate utilisation or sensitivity in both cell lines after exposure to melittin and cisplatin. Data extraction was carried out with MZmine 2.10 with metabolite searching against an in-house database. The data were analysed using univariate and multivariate methods. The changes induced by melittin in the cisplatin-sensitive cells mainly resulted in reduced levels of amino acids in the proline/glutamine/arginine pathway, as well as to decreased levels of carnitines, polyamines, ATP and NAD+. It was necessary to evaluate the effect of a melittin on lipid activities of ovarian cancer cell lines. In order to do so, an LC coupled to an Orbitrap Exactive mass spectrometer using an ACE silica gel column was employed. The two cell lines had distinct lipid compositions, with the A2780CR cells having lower levels of several ether lipids than the A2780 cells. The changes induced by melittin in both cell lines mainly led to a decrease the level of PC and PE. Lipids were significantly altered in both A2780 and A2780CR cells. The observed effect was much more marked in the cisplatin-sensitive cells, suggesting that the sensitive cells undergo much more extensive membrane re-modelling in responsexviito melittin in comparison with the resistant cells. Regarding the metabolic effects of cisplatin on A2780 cells, these mainly resulted decreased levels of acetylcarnitine, phosphocreatine, arginine, proline and glutathione disulfide, as well as to increased levels of tryptophan and methionine. A number of metabolites were differently affected between the A2780 and A2780CR cells following cisplatin treatment, with A2780CR cells presenting increased levels of lysine, and decreased levels of N-acetyl-glutamate, oxoglutarate and 2-oxobutanoate compared to sensitive cells. However, when the combination treatment was applied, there were significant changes in both cell lines, mainly resulting in a reduction of levels of citrate cycle, oxidative phosphorylation, purine, pyrimidine and arginine/proline pathways. The combination of melittin with cisplatin has a synergistic effect when targeting these pathways. The melittin-cisplatin combination had stronger effect on A2780 cell lines than it had on those of A2780CR.Overall, this study suggests that melittin may have some potential as an adjuvant therapy in cancer treatment. A global metabolomics approach can be a useful tool for evaluating the pharmacological effects of anti-cancer compounds or synergetic sensitisers using mass spectrometry.
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Denbigh, Joanna. "Lipidomic and metabolomic analysis of biological response mechanisms in cancer cells : a multidisciplinary approach." Thesis, University of Manchester, 2016. https://www.research.manchester.ac.uk/portal/en/theses/lipidomic-and-metabolomic-analysis-of-biological-response-mechanisms-in-cancer-cells-a-multidisciplinary-approach(a1f04b8e-0f79-497a-9928-18a59a8e9cb0).html.

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The 21st Century has seen a rise in incidence of complex diseases such as cancer and in the quest to develop essential new therapeutic options, the study of drug-cell interactions can yield powerful information. Acute myeloid leukaemia (AML) is an aggressive cancer that causes life-threatening deficits of functional blood cells in humans for which current treatment options are highly toxic and often poorly tolerated. A combination of two existing drugs, bezafibrate and medroxyprogesterone acetate in a drug redeployment situation has shown promise in vitro and in vivo and further investigations are crucial to elucidate the mode of action of this treatment. This project investigated the mechanistic action of BaP at a cellular level. Orthogonal spectroscopic and mass spectrometric platforms were employed to probe the biochemical composition of two AML cell lines, HL60 and K562 in the presence and absence of this combined drug treatment. Analysis was performed on single living cells, dehydrated cells, fixed cells and cell extracts to give a large and detailed data set. A consideration of the main spectral differences obtained by Synchrotron-FTIR and ATR-FTIR in conjunction with multivariate statistical analysis revealed a significant change to the cellular lipid composition with drug treatment; furthermore, this response was not caused by cell apoptosis. In particular, the ratio of CH2:CH3 was observed to increase with BaP treatment and this was determined to be a significant change in both cell lines (p <0.05). An overall increase in lipid unsaturation suggests that BaP targets cellular lipid biosynthesis. Raman microspectroscopy added a further dimension to the spectroscopic study by providing spatial information of lipid distribution which suggested that BaP-induced saturation change is uniform across a single cell. UHPLC-MS was employed for global metabolomics analysis of AML cell extracts and revealed a number of biochemical pathways that were indicated as targets of BaP therapy in both cell lines. Univariate and multivariate analysis determined statistically significant metabolites for which putative identifications were made. Pyrimidine metabolism was the most significant pathway identified for changes consistent in both HL60 and K562 cell lines. The complementarity of ToF-SIMS and UHPLC-MS provided large coverage of the lipidome of AML cells through untargeted and targeted approaches. For data derived by both techniques, a general increase in polyunsaturated species for BaP treated cell extracts was observed which correlated well with findings from spectroscopic investigations. Adopting a multi-disciplinary approach to cell analysis can afford a powerful insight into understanding drug mode of action at a cellular level and novel information regarding BaP mechanistic action in AML cell lines was revealed. This analytical approach could be extended to the future study of drug-cell interactions for other oncological systems.
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Books on the topic "Mass spectrometry metabolomic"

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González-Domínguez, Raúl, ed. Mass Spectrometry for Metabolomics. New York, NY: Springer US, 2023. http://dx.doi.org/10.1007/978-1-0716-2699-3.

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Raftery, Daniel, ed. Mass Spectrometry in Metabolomics. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-1258-2.

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Ramautar, Rawi, ed. Capillary Electrophoresis–Mass Spectrometry for Metabolomics. Cambridge: Royal Society of Chemistry, 2018. http://dx.doi.org/10.1039/9781788012737.

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Lutz, Norbert, Jonathan V. Sweedler, and Ron Wevers. Methodologies for metabolomics: Experimental strategies and techniques. Cambridge: Cambridge University Press, 2012.

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Raftery, Daniel. Mass spectrometry in metabolomics: Methods and protocols. New York: Humana Press, 2014.

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Datta, Susmita, and Bart J. A. Mertens, eds. Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-45809-0.

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Ramautar, Rawi, ed. Advanced Mass Spectrometry-based Analytical Separation Techniques for Probing the Polar Metabolome. Cambridge: Royal Society of Chemistry, 2021. http://dx.doi.org/10.1039/9781839163524.

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Putri, Sastia Prama, and Eiichiro Fukusaki. Mass Spectrometry-Based Metabolomics. Taylor & Francis Group, 2015.

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Putri, Sastia Prama, and Eiichiro Fukusaki, eds. Mass Spectrometry-Based Metabolomics. CRC Press, 2016. http://dx.doi.org/10.1201/b17793.

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González-Domínguez, Raúl. Mass Spectrometry for Metabolomics. Springer, 2022.

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Book chapters on the topic "Mass spectrometry metabolomic"

1

Alvarez-Rivera, Gerardo, Alberto Valdés, and Alejandro Cifuentes. "Metabolomic Characterization of the Antiproliferative Activity of Bioactive Compounds from Fruit By-Products Against Colon Cancer Cells." In Mass Spectrometry for Metabolomics, 45–55. New York, NY: Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-2699-3_5.

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Chen, Tian-lu, and Rui Dai. "Metabolomic Data Processing Based on Mass Spectrometry Platforms." In Plant Metabolomics, 123–69. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-9291-2_6.

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Fong, Miranda Y., Jonathan McDunn, and Sham S. Kakar. "Metabolomic Profiling of Ovarian Carcinomas Using Mass Spectrometry." In Methods in Molecular Biology, 239–53. Totowa, NJ: Humana Press, 2013. http://dx.doi.org/10.1007/978-1-62703-547-7_18.

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Ji, Eoon Hye, Jason Lee, and Shen Hu. "Ion Chromatography with Mass Spectrometry for Metabolomic Analysis." In Advances in Experimental Medicine and Biology, 149–59. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-51652-9_10.

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González-Domínguez, Raúl, Álvaro González-Domínguez, Ana Sayago, and Ángeles Fernández-Recamales. "Mass Spectrometry-Based Metabolomic Multiplatform for Alzheimer’s Disease Research." In Biomarkers for Alzheimer’s Disease Drug Development, 125–37. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-7704-8_8.

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Goodenowe, Dayan. "Metabolomic Analysis with Fourier Transform Ion Cyclotron Resonance Mass Spectrometry." In Metabolic Profiling: Its Role in Biomarker Discovery and Gene Function Analysis, 125–39. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0333-0_8.

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Henry, Rob, and Teresa Cassel. "Metabolomic Applications of Inductively Coupled Plasma-Mass Spectrometry (ICP-MS)." In Methods in Pharmacology and Toxicology, 99–125. Totowa, NJ: Humana Press, 2012. http://dx.doi.org/10.1007/978-1-61779-618-0_5.

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Lopes, Aline Soriano, Elisa Castañeda Santa Cruz, Alessandra Sussulini, and Aline Klassen. "Metabolomic Strategies Involving Mass Spectrometry Combined with Liquid and Gas Chromatography." In Advances in Experimental Medicine and Biology, 77–98. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-47656-8_4.

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Tian, Xiang, Zhu Zou, and Zhibo Yang. "Extract Metabolomic Information from Mass Spectrometry Images Using Advanced Data Analysis." In Methods in Molecular Biology, 253–72. New York, NY: Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-2030-4_18.

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Deng, Jingjing, Guoan Zhang, and Thomas A. Neubert. "Metabolomic Analysis of Glioma Cells Using Nanoflow Liquid Chromatography–Tandem Mass Spectrometry." In Methods in Molecular Biology, 125–34. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-7659-1_10.

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Conference papers on the topic "Mass spectrometry metabolomic"

1

González-Domínguez, Raúl. "Metabolomic fingerprinting of serum samples by direct infusion mass spectrometry." In The 1st International Electronic Conference on Metabolomics. Basel, Switzerland: MDPI, 2016. http://dx.doi.org/10.3390/iecm-1-c001.

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Ha, Soo Jung, Gordon Showalter, Jenna Rickus, Shanbao Cai, Haiyan Wang, Wei Michael Liu, Jann N. Sarkaria, et al. "Abstract B37: Proteomic and metabolomic analyses of glioblastoma using mass spectrometry." In Abstracts: AACR-NCI-EORTC International Conference: Molecular Targets and Cancer Therapeutics--Oct 19-23, 2013; Boston, MA. American Association for Cancer Research, 2013. http://dx.doi.org/10.1158/1535-7163.targ-13-b37.

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Urizar Catalan, Byron Enrique, Belén Callejón Leblic, Victoria Ignacio Barrios, Eva Vázquez Gandullo, Rocio Baya Arenas, Tamara García Barrera, José Luis Sánchez Ramos, et al. "Metabolomic fingerprinting of serum samples based on direct infusion mass spectrometry for lung cancer diagnosis." In ERS International Congress 2017 abstracts. European Respiratory Society, 2017. http://dx.doi.org/10.1183/1393003.congress-2017.pa2034.

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Buko, Alexander, Leo Cheng, Andrew Gustev, and Adam Feldman. "Abstract 3510: The metabolomic profile of urine from prostate cancer patients using capillary electrophoresis mass spectrometry (CEMS)." In Proceedings: AACR Annual Meeting 2020; April 27-28, 2020 and June 22-24, 2020; Philadelphia, PA. American Association for Cancer Research, 2020. http://dx.doi.org/10.1158/1538-7445.am2020-3510.

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Hajslova, Jana, Enrico Valli, Klara Navratilova, and Tullia Gallina Toschi. "Metabolic fingerprinting strategies for authentication challenge: EVOO adulterated by soft deodorized olive oil." In 2022 AOCS Annual Meeting & Expo. American Oil Chemists' Society (AOCS), 2022. http://dx.doi.org/10.21748/qepz3229.

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Extra virgin olive oil (EVOO) is a high value commodity that might be subject of various fraudulent practices. One of them, addition of lower grade, soft-deodorized olive oil to EVOO has recently become of concern, as such adulterant detection is not an easy task. In this study, aqueous methanolic extracts of a unique set of authentic EVOOs, soft-deodorized oils and their admixtures obtained within the OLEUM EU project (http://www.oleumproject.eu/) were investigated. Using ultra-high performance liquid chromatography coupled to hybrid quadrupole time-of-flight high-resolution tandem mass spectrometry (UHPLC-QTOF-HRMS/MS) for metabolomic fingerprinting, followed by  multi-dimensional chemometric evaluation, ´marker ions´ were recognized. Some molecules identified, whose etiology must be investigated, were: the methyl ester of hydroxy octadecenoic acid and a ester derivative of oleic acid. As far as these markers can be confirmed as diagnostic, detection of soft-deodorized olive oil addition can be enabled through a simpler and highly sensitive target analysis employing high performance liquid chromatography coupled to triple quadrupole tandem mass spectrometry (HPLC-QqQ-MS/MS).
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Dudley, Ed, Robin Tuytten, Filip Lemiere, Eddy E. Esmans, and Russell P. Newton. "The bioanalysis of urinary modified nucleosides by mass spectrometry: their study as potential metabolomic biomarkers of cancer development." In XIVth Symposium on Chemistry of Nucleic Acid Components. Prague: Institute of Organic Chemistry and Biochemistry, Academy of Sciences of the Czech Republic, 2008. http://dx.doi.org/10.1135/css200810229.

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Urayama, Shiro, Wei Zou, and Vladimir Tolstikov. "Abstract 1768: Comprehensive mass spectrometry based metabolomic profiling of blood plasma reveals potent discriminatory classifiers of pancreatic cancer." In Proceedings: AACR 101st Annual Meeting 2010‐‐ Apr 17‐21, 2010; Washington, DC. American Association for Cancer Research, 2010. http://dx.doi.org/10.1158/1538-7445.am10-1768.

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Ahn, JK, J. Hwang, H.-S. Cha, and E.-M. Koh. "FRI0331 Identification and validation of potential metabolomic biomarkers for reliable diagnosis of behcet's disease using gas chromatography with time-of-flight mass spectrometry." In Annual European Congress of Rheumatology, 14–17 June, 2017. BMJ Publishing Group Ltd and European League Against Rheumatism, 2017. http://dx.doi.org/10.1136/annrheumdis-2017-eular.3104.

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McConnell, Yarrow J., Aalim M. Weljie, Karen A. Kopciuk, Elijah Dixon, Francis Sutherland, Nicole Dunse, and Oliver F. Bathe. "Abstract 5104: Serum metabolomic profiles acquired by gas chromatography-mass spectrometry (GC-MS) distinguish patients with pancreatic adenocarcinoma from those with benign pancreatic disease." In Proceedings: AACR 102nd Annual Meeting 2011‐‐ Apr 2‐6, 2011; Orlando, FL. American Association for Cancer Research, 2011. http://dx.doi.org/10.1158/1538-7445.am2011-5104.

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Rojo Sánchez, A., A. Carmona Marte, M. Santamaría Torres, Y. Díaz Olmos, G. Aroca Martínez, E. Navarro Quiroz, M. Cala Molina, and L. Pacheco Lugo. "PO.1.7 Urinary metabolomic profile of systemic lupus erythematosus and lupus nephritis based on liquid and gas chromatography/mass spectrometry (LC-QTOF-MS and GC-QTOF-MS)." In 13th European Lupus Meeting, Stockholm (October 5–8, 2022). Lupus Foundation of America, 2022. http://dx.doi.org/10.1136/lupus-2022-elm2022.41.

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Reports on the topic "Mass spectrometry metabolomic"

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Vertes, Akos. New approaches for metabolomics by mass spectrometry. Office of Scientific and Technical Information (OSTI), July 2017. http://dx.doi.org/10.2172/1368638.

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