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METABOLOMICS
Presented by S.M GHARIB NAWAZ JAN
CONTENTS:
 Introduction
 History
 Advancements
 Techniques
 Applications
 Significances
 Challenges & Problems
What is METABOLOMICS?
METABOLOMICS:
 Metabolomics is the systematic study of the small molecular metabolites in a
cell, tissue, biofluid, or cell culture media that are the tangible result of cellular
processes or responses to an environmental stress.
METABOLOMICS:
 The metabolome is the total complement of metabolites present in a biological
sample under given genetic, nutritional or environmental conditions.
METABOLOMICS:
 Metabolomics technologies yield many insights into basic biological research in
areas such as systems biology and metabolic modelling, pharmaceutical research,
nutrition and toxicology.
METABOLITES:
 Intermediates and products of metabolism
 MW < 1500 Da
 Examples:
• antibiotics,
• pigments,
• carbohydrates,
• fatty acids and amino acids
 Primary and secondary metabolites
METABOLITES:
INTER RELATIONSHIP:
HISTORICAL BACKGROUND:
 The first paper was titled, “Quantitative Analysis of Urine Vapor and Breath by
Gas-Liquid Partition Chromatography”, by Robinson and Pauling in 1971.
 The name metabolomics was coined in the late 1990s (the first paper using the
word metabolome is Oliver, S. G., Winson, M. K., Kell, D. B. & Baganz, F.
(1998).
 Many of the bioanalytical methods used for metabolomics have been adapted (or
in some cases simply adopted) from existing biochemical techniques.
 Metabolomics is expanding to catch up with other multiparallel
analytical techniques (transcriptomics, proteomics) but remains far
less developed and less accessible.
 Human Metabolome project – first draft of human metabolome:
23rd January 2007
APPLIED IN OTHER FIELDS:
 Drug assessment
 Clinical toxicology
 Nutrigenomics
 Functional genomics
ADVANCEMENT:
 Metabolomics depicts the functional end-point of genetic and environment
 Targeted metabolomics data are analytically reproducible and allow immediate
biochemical interpretation
 Proof-of-concept has been achieved in routine diagnostics of inborn errors of
metabolism
ADVANCEMENT:
 Many metabolic biomarkers are valid across species and enable translational
research
 Comprehensive targeted metabolomics bridges the gap to open profiling
approaches
ANALYSIS OF METABOLOMICS DATA
TECHNIQUES:
 Separation Techniques
Gas Chromatography (GC)
Capillary Electrophoresis (CE)
High Performance Liquid Chromatography (HPLC)
Ultra Performance Liquid Chromatography (UPLC)
 Combination of Techniques
GC-MS
HPLC-MS
 Detection Techniques
Nuclear Magnetic Resonance Spectroscopy (NMR)
Mass Spectrometry (MS)
STEPS IN METABOLOMIC TECHNIQUES:
HOW METABOLOMICS WORKS ?
GAS CHROMATOGRAPHY:
 Involves a sample being vaporized to a gas and injected into a
column
 Sample is transported through the column by an inert gas mobile
phase
 Column has a liquid or polymer stationary phase that is adsorbed
to the surface of a metal tube
 Columns are 1.5-10 m in length and 2-4 mm in internal diameter
 Samples are usually derivatized with TMS to make them volatile
GAS CHROMATOGRAPHY:
High Pressure (Performance) Liquid Chromatography -
HPLC
 Developed in 1970’s
 Uses high pressures (6000 psi) and smaller (5 mm), pressure-stable
particles
 Allows compounds to be detected at ppt (parts per trillion) level
 Allows separation of many types of polar and nonpolar compounds
HPLC MODALITIES
 Reversed phase – for separation of non-polar molecules (nonpolar
stationary phase, polar mobile phase).
 Normal phase – for separation of non-polar molecules (polar
stationary phase, non-polar/organic mobile phase).
CAPILLARY ELECTROPHORESIS:
 Higher theoretical separation efficiency than HPLC (although
requiring much more time per separation)
 Suitable for use with a wider range of metabolite classes than is
GC.
 As for all electrophoretic techniques, it is most appropriate for
charged analytes.
MASS SPECTROMETRY
 Mass spectrometry is a technique to measure the
mass of ions (m/z)
 All mass spectrometers perform three main tasks:
1. Ionize molecules.
2. Acceleration: Use electric and magnetic fields to
accelerate ions and manipulate their flight.
3. Detect ions (convert to electronic signal)
DIFFERENT TYPES OF MS:
 GC-MS - Gas Chromatography MS
separates volatile compounds in gas column and ID’s by mass
 LC-MS - Liquid Chromatography MS
separates delicate compounds in HPLC column and ID’s by mass
 MS-MS - Tandem Mass Spectrometry
separates compound fragments by magnetic or electric fields and
ID’s by mass fragment patterns
TARGETED VS UNTARGETED METABOLOMICS:
TARGETED METABOLOMICS:
 Pre-defined set of metabolites to
quantify
 Typically carried out in diagnostics
 Pros: Technically simple
 Cons: Limited scope, missing
information
UNTARGETED METABOLOMICS:
 Global analysis of metabolic changes in
response to disease, environmental or genetic
perturbations.
 Typically carried out for hypothesis generation,
followed by targeted profiling for more
confident quantification of relevant metabolites.
 Pros: Unbiased (no selection of metabolites)
 Cons: Technically challenging (both the analysis
and the bioinformatics), risk of getting too many
unknowns
TARGETED & UNTARGETED METABOLOMICS:
EXOMETABOLOMICS OR METABOLIC
FOOTPRINTING:
 Study of extracellular metabolites.
 Uses many techniques from other subfields of metabolomics.
 Has applications in:
- biofuel development,
- bioprocessing,
- determining drugs' mechanism of action,
- studying intercellular interactions.
NUCLEAR MAGNETIC RESONANCE
SPECTROSCOPY
NMR SPECTROSCOPY
METABOLOMIC FINGER PRINTING
 Detection technique which does not rely on separation of the analytes,
and the sample can thus be recovered for further analyses.
 All kinds of small molecule metabolites can be measured simultaneously
- in this sense, NMR is close to being a universal detector.
 The main advantages of NMR are high analytical reproducibility and
simplicity of sample preparation.
 Most metabolites have unique chemical shift fingerprints that helps
reduce redundancy.
 Such analysis is known as finger printing.
LIST OF SOFTWARES FOR METABOLOMIC ANALYSIS:
APPLICATIONS:
 Basic research:
- Functional genomics in biochemistry, physiology, cell biology, microbiology, ecology, …
 Agricultural & nutrition industry:
- Plant intermediary metabolism
- Health effects of functional food products
 Biotechnology:
- Optimization and monitoring of fermentation processes
 Pharmaceutical R&D:
- Pathobiochemistry / characterization of disease models
- Safety / toxicology
- Efficacy / pharmaco-dyanamics and mode-of-action
 Clinical diagnostics & theranostics:
- Early diagnosis and accurate staging
- Specific monitoring of therapeutic effects
SIGNIFICANCES:
 Genetic Disease Tests
 Nutritional Analysis
 Clinical Blood Analysis
 Clinical Urinalysis
 Cholesterol Testing
 Drug Compliance
 Transplant Monitoring
 MRS and CS imaging
CHALLENGES:
 Metabolomics is not only concerned with the identification and
quantification of metabolites.
 It is also concerned with relating metabolite data to biology and
metabolism.
 Metabolomics requires chemical information which is linked to
both biochemical causes and physiological consequences. This
means that metabolomics must combine the two very different
fields of informatics: bioinformatics and chemoinformatics.
ANY QUESTIONS ???
FEEL FREE TO ASK.
Metabolomics

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Metabolomics

  • 1. METABOLOMICS Presented by S.M GHARIB NAWAZ JAN
  • 2. CONTENTS:  Introduction  History  Advancements  Techniques  Applications  Significances  Challenges & Problems
  • 4. METABOLOMICS:  Metabolomics is the systematic study of the small molecular metabolites in a cell, tissue, biofluid, or cell culture media that are the tangible result of cellular processes or responses to an environmental stress.
  • 5. METABOLOMICS:  The metabolome is the total complement of metabolites present in a biological sample under given genetic, nutritional or environmental conditions.
  • 6. METABOLOMICS:  Metabolomics technologies yield many insights into basic biological research in areas such as systems biology and metabolic modelling, pharmaceutical research, nutrition and toxicology.
  • 7. METABOLITES:  Intermediates and products of metabolism  MW < 1500 Da  Examples: • antibiotics, • pigments, • carbohydrates, • fatty acids and amino acids  Primary and secondary metabolites
  • 9.
  • 11. HISTORICAL BACKGROUND:  The first paper was titled, “Quantitative Analysis of Urine Vapor and Breath by Gas-Liquid Partition Chromatography”, by Robinson and Pauling in 1971.  The name metabolomics was coined in the late 1990s (the first paper using the word metabolome is Oliver, S. G., Winson, M. K., Kell, D. B. & Baganz, F. (1998).  Many of the bioanalytical methods used for metabolomics have been adapted (or in some cases simply adopted) from existing biochemical techniques.
  • 12.  Metabolomics is expanding to catch up with other multiparallel analytical techniques (transcriptomics, proteomics) but remains far less developed and less accessible.  Human Metabolome project – first draft of human metabolome: 23rd January 2007
  • 13. APPLIED IN OTHER FIELDS:  Drug assessment  Clinical toxicology  Nutrigenomics  Functional genomics
  • 14. ADVANCEMENT:  Metabolomics depicts the functional end-point of genetic and environment  Targeted metabolomics data are analytically reproducible and allow immediate biochemical interpretation  Proof-of-concept has been achieved in routine diagnostics of inborn errors of metabolism
  • 15. ADVANCEMENT:  Many metabolic biomarkers are valid across species and enable translational research  Comprehensive targeted metabolomics bridges the gap to open profiling approaches
  • 16. ANALYSIS OF METABOLOMICS DATA TECHNIQUES:  Separation Techniques Gas Chromatography (GC) Capillary Electrophoresis (CE) High Performance Liquid Chromatography (HPLC) Ultra Performance Liquid Chromatography (UPLC)  Combination of Techniques GC-MS HPLC-MS  Detection Techniques Nuclear Magnetic Resonance Spectroscopy (NMR) Mass Spectrometry (MS)
  • 17. STEPS IN METABOLOMIC TECHNIQUES:
  • 19. GAS CHROMATOGRAPHY:  Involves a sample being vaporized to a gas and injected into a column  Sample is transported through the column by an inert gas mobile phase  Column has a liquid or polymer stationary phase that is adsorbed to the surface of a metal tube  Columns are 1.5-10 m in length and 2-4 mm in internal diameter  Samples are usually derivatized with TMS to make them volatile
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  • 24. High Pressure (Performance) Liquid Chromatography - HPLC  Developed in 1970’s  Uses high pressures (6000 psi) and smaller (5 mm), pressure-stable particles  Allows compounds to be detected at ppt (parts per trillion) level  Allows separation of many types of polar and nonpolar compounds
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  • 27. HPLC MODALITIES  Reversed phase – for separation of non-polar molecules (nonpolar stationary phase, polar mobile phase).  Normal phase – for separation of non-polar molecules (polar stationary phase, non-polar/organic mobile phase).
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  • 30. CAPILLARY ELECTROPHORESIS:  Higher theoretical separation efficiency than HPLC (although requiring much more time per separation)  Suitable for use with a wider range of metabolite classes than is GC.  As for all electrophoretic techniques, it is most appropriate for charged analytes.
  • 31. MASS SPECTROMETRY  Mass spectrometry is a technique to measure the mass of ions (m/z)  All mass spectrometers perform three main tasks: 1. Ionize molecules. 2. Acceleration: Use electric and magnetic fields to accelerate ions and manipulate their flight. 3. Detect ions (convert to electronic signal)
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  • 33. DIFFERENT TYPES OF MS:  GC-MS - Gas Chromatography MS separates volatile compounds in gas column and ID’s by mass  LC-MS - Liquid Chromatography MS separates delicate compounds in HPLC column and ID’s by mass  MS-MS - Tandem Mass Spectrometry separates compound fragments by magnetic or electric fields and ID’s by mass fragment patterns
  • 34. TARGETED VS UNTARGETED METABOLOMICS: TARGETED METABOLOMICS:  Pre-defined set of metabolites to quantify  Typically carried out in diagnostics  Pros: Technically simple  Cons: Limited scope, missing information UNTARGETED METABOLOMICS:  Global analysis of metabolic changes in response to disease, environmental or genetic perturbations.  Typically carried out for hypothesis generation, followed by targeted profiling for more confident quantification of relevant metabolites.  Pros: Unbiased (no selection of metabolites)  Cons: Technically challenging (both the analysis and the bioinformatics), risk of getting too many unknowns
  • 35. TARGETED & UNTARGETED METABOLOMICS:
  • 36. EXOMETABOLOMICS OR METABOLIC FOOTPRINTING:  Study of extracellular metabolites.  Uses many techniques from other subfields of metabolomics.  Has applications in: - biofuel development, - bioprocessing, - determining drugs' mechanism of action, - studying intercellular interactions.
  • 38. NMR SPECTROSCOPY METABOLOMIC FINGER PRINTING  Detection technique which does not rely on separation of the analytes, and the sample can thus be recovered for further analyses.  All kinds of small molecule metabolites can be measured simultaneously - in this sense, NMR is close to being a universal detector.  The main advantages of NMR are high analytical reproducibility and simplicity of sample preparation.  Most metabolites have unique chemical shift fingerprints that helps reduce redundancy.  Such analysis is known as finger printing.
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  • 40. LIST OF SOFTWARES FOR METABOLOMIC ANALYSIS:
  • 41. APPLICATIONS:  Basic research: - Functional genomics in biochemistry, physiology, cell biology, microbiology, ecology, …  Agricultural & nutrition industry: - Plant intermediary metabolism - Health effects of functional food products  Biotechnology: - Optimization and monitoring of fermentation processes  Pharmaceutical R&D: - Pathobiochemistry / characterization of disease models - Safety / toxicology - Efficacy / pharmaco-dyanamics and mode-of-action  Clinical diagnostics & theranostics: - Early diagnosis and accurate staging - Specific monitoring of therapeutic effects
  • 42. SIGNIFICANCES:  Genetic Disease Tests  Nutritional Analysis  Clinical Blood Analysis  Clinical Urinalysis  Cholesterol Testing  Drug Compliance  Transplant Monitoring  MRS and CS imaging
  • 43. CHALLENGES:  Metabolomics is not only concerned with the identification and quantification of metabolites.  It is also concerned with relating metabolite data to biology and metabolism.  Metabolomics requires chemical information which is linked to both biochemical causes and physiological consequences. This means that metabolomics must combine the two very different fields of informatics: bioinformatics and chemoinformatics.
  • 44. ANY QUESTIONS ??? FEEL FREE TO ASK.