Ce diaporama a bien été signalé.
Nous utilisons votre profil LinkedIn et vos données d’activité pour vous proposer des publicités personnalisées et pertinentes. Vous pouvez changer vos préférences de publicités à tout moment.

Metabolomics

metabolomics

  • Soyez le premier à commenter

Metabolomics

  1. 1. What is metabolomics?. Metabolomics is the scientific study of chemical processes involving metabolites. Specifically, metabolomics is the study of the small molecule metabolites The rapidly emerging field of metabolomics combines strategies to identify and quantify cellular metabolites using sophisticated analytical technologies with the application of statistical and multivariant methods for information extraction and data interpretation.
  2. 2. Metabolomics is the comprehensive, qualitative study and analysis of all the small molecules in an organism
  3. 3. origin sThe idea that biological fluids reflect the health of an individual has existed for a long time.  Ancient Chinese doctors used ants for the evaluation of urine of patients to detect whether the urine contained high levels of glucose, and hence detect diabetes.  In the Middle Ages, "urine charts" were used to link the colours , tastes and smells of urine to various medical conditions, which are metabolic in origin  The concept that individuals might have a "metabolic profile" that could be reflected in the makeup of their biological fluids was introduced by Roger Williams in the late 1940s, who used paper chromatography to suggest characteristic metabolic patterns in urine and saliva were associated with diseases such as schizophrenia  The term "metabolic profile" was introduced by Horning, et al. in 1971 after they demonstrated that gas chromatography-mass spectrometry (GC-MS) could be used to measure compounds present in human urine and tissue extracts. The Horning group, along with that of Linus Pauling and Arthur B. Robinson led the development of GC-MS methods to monitor the metabolites present in urine through the 1970s.
  4. 4. In 1974, Seeley et al. demonstrated using NMR spectroscopy to detect metabolites in unmodified biological samples. This first study on muscle highlighted that the 90% of cellular ATP is complexed with magnesium NMR continues to be a leading analytical tool to investigate metabolism In 2005, the first metabolomics web database, METLIN for characterizing human metabolites was developed in the Scripps Research Institute and till September 2015, METLIN contains over 240,000 metabolites On 23 January 2007, the Human Metabolome Project, led by Dr. David Wishart of the University of Alberta
  5. 5. Metabolome refers to the complete set of small-molecule metabolites (such as metabolic intermediates, hormones and other signaling molecules, and secondary metabolites) to be found within a biological sample, such as a single organism. Metabolites are the intermediates and products of metabolism. Within the context of metabolomics, a metabolite is usually defined as any molecule less than 1 kDa in size.
  6. 6. ANALYSIS OF METABOLOMICS DATA
  7. 7. Gas chromatoghaph
  8. 8. Target metabolites are identified by exact retention times and their corresponding mass spectra (B) as shown for the co- eluting peaks of malate, gamma-amino butyric acid (GABA), and an unidentified compound. m/z, Ratio of mass to charge. Gas Chromatography analysis
  9. 9. HPCL
  10. 10. A current through (green ) generates a strong magnetic field polarizes the nuclei in the sample material (red). It is surrounded by the r.f. coil (black) delivers the computer generated r.f. tunes that initiate the nuclear quantum dance. At some point in time, the switch is turned and now the dance is recorded through the voltage it induces. the NMR signal, in the r.f. coil. The signals Fourier transform (FT) shows "lines" for different nuclei in different electronic environments. Nuclear Magnetic Resonance (NMR) Spectroscopy
  11. 11. A typical 950-MHz NMR spectrum of urine showing the degree of spectral complexity
  12. 12.  Drug assessment  Clinical toxicology  Nutrigenomics  Functional genomics MAIN APPLICATIONS

×