Johnston, Katharina Louise (2015) Metabolomic approaches.
Metabolomics: An introduction This course provides a basic introduction into the rapidly emerging field of metabolomics and its importance and applications. An undergraduate-level understanding of biology would be an advantage.
Bioinformatics methods for metabolomics based biomarker detection in functional genomics studies. By. Preeti Bais. A dissertation submitted to the graduate faculty. in partial fulfillment of the requirements for the degree of. DOCTOR OF PHILOSOPHY. Major: Bioinformatics and Computational Biology. Program of Study Committee.
Metabolomics is the study of identification and quantification of small molecules present in biological systems. Metabolomics analyses of biological samples involves getting a metabolic profile using analytical technologies and analyzing the data generated by these platforms to gain insight into the system’s metabolic state. This article.
Available Positions. 2 Positions available. Postdoctoral Researcher in the molecular profiling of urinary markers of lung disease The Project: We have an opening for an individual wishing to join a multidisciplinary project aimed to identify sub-phenotypes of obstructive lung disease. The successful candidate will be expected to use and further develop mass spectrometry-based methods for.
Metabolomics, as an integral part of thesystems biology, is defined as “the quantitative measurement ofmultiparametric time-related metabolic responses of a complexsystem to genetic modification or a pathophysiological intervention.”This platform offers a well-established high-throughput “omics”technology for analysis of the metabolome.
This dissertation outlines several key advances made toward the application of urinary metabolomics to cancer biomarker discovery. The term urinary metabolomics here refers to the investigation of small metabolites in urine as potential disease biomarkers. The advantage of using this approach lies in its noninvasive sampling characteristics and.
History of Metabolomics () Ancient China (). The beginning of metabolomics traces back all the way to 2000-1500 B.C.when traditional Chinese doctors began using ants in order to evaluate the urine of patients to determine if the urine contained the high glucose of diabetics.
The primary thrust of this dissertation work is to overcome this fundamental barrier in metabolomic experiments and extract the unique analyte content from metabolomic datasets. To this end, three algorithms were developed. (i) We first developed the Warpgroup algorithm to refine the features detected in replicate samples. Peak detection.
Integratedion pathway-based and network-based analysis of GC-MS Rice metabolomics data under Diazinon Stress with Metaboanalyst and Metabol.
The title of my thesis is “Metabolomics and stoichiometry adapted to the study of environmental impacts on plants” and below you can find an abstract of the work. If you are interested you are very welcome. Metabolomics has allowed significant advances in biological sciences. An increasing number of ecological studies have applied a.
This dissertation presents studies aimed at developing and determining the suitability of a mass spectrometry based untargeted metabolomics platform. Four chapters of original research are presented in this dissertation. The first chapter describes the development of a liquid chromatography-quadrupole-time-of-flight mass spectrometry.
Plant and soil metabolomics were then used to investigate the global metabolic response of both the plant and soil to ENM exposure. None of the tested ENMs showed negative impacts on plant growth. However, metabolomics analysis revealed that all ENM treatments altered the leaf, root and soil metabolite profiles in an ENM-dependent manner.
Nontargeted metabolomics aims to profile the entire metabolome present in cells, biofluids, or tissues. Nontargeted metabolomics measures as many metabolites as possible to compare biological samples and is useful for hypothesis generation. However, the greatest bottleneck in nontargeted metabolomics is the identification of unknown features.
