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Printable Handouts
Navigable Slide Index
- Introduction
- Untargeted metabolomics workflow
- Multidisciplinary nature of metabolomics
- Structural and chemical diversity of metabolites
- Experimental design
- The importance of experimental design
- Metabolomics from a stock of random samples
- What ever sticks we will publish
- Sample preparation
- The different steps of sample preparation
- Sample collection: serum
- Sample preparation: quenching
- Quenching
- Sample preparation: extraction process
- Requisite for untargeted metabolomics
- Increasing the number of features & intensity?
- Metabolite extraction
- Extraction method (comparing 2 methods)
- Extraction method (LC/MS vs. NMR)
- Extraction method (choice of solvents)
- Sample concentration (steps)
- Sample analysis by MS and NMR
- Diversity of analytical platforms in metabolomics
- Basic diagram of a mass spectrometer
- Liquid chromatography: stationary phase
- Liquid chromatography: mobile phase
- LC mobile-phase (positive vs. negative ion mode)
- Mass spectrometer ionization methods
- Practical aspects
Topics Covered
- Untargeted metabolomics workflow
- Multidisciplinary nature of metabolomics
- The importance of experimental design
- Sample preparation
- Increasing the number of features & intensity
- Metabolite extraction
- Sample analysis by MS and NMR
- Diversity of analytical platforms in metabolomics
- Liquid chromatography
- Practical aspects
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Talk Citation
Yanes, O. (2018, May 31). Metabolomics: importance of experimental design to data acquisition 1 [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved December 5, 2024, from https://doi.org/10.69645/GERK3842.Export Citation (RIS)
Publication History
Financial Disclosures
- Dr. Oscar Yanes has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.
Metabolomics: importance of experimental design to data acquisition 1
Published on May 31, 2018
23 min
Transcript
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0:00
Hello, my name is Oscar Yanes,
I'm the scientific coordinator of CIBERDEM,
which is the Spanish National Network for the Study of Diabetes,
and I'm an assistant professor at the Universitat Rovira i Virgili in Tarragona, Spain.
The title of my talk is "Metabolomics,
and the importance of Experimental Design to Data Acquisition".
0:21
This slide shows a summary of the critical steps for un- targeted metabolomics workflow,
starting from experimental design, sample preparation,
sample analysis by Mass Spec and nuclear magnetic resonance,
data analysis and metabolite identification.
After a metabolite identification,
metabolites will be integrated in the metabolic context,
and hypothesis will be generated for experimental validation.
My presentation will cover each step of this workflow,
starting from experimental design.
0:55
The multidisciplinary nature of metabolomics,
is represented in this slide.
I'm showing this slide because I believe that all these topics are
important for conducting successful metabolomics experiment,
starting from electronic engineering and signal processing, statistical physics,
analytical chemistry, organic chemistry,
bio-statistics, and biochemistry and metabolism of course.
Only by integrating and by having
skills and know how on the different aspects of these fields,
we'll be possible to perform good metabolomics experiment.
1:32
One of the reasons why metabolomics is so multidisciplinary,
is because of the wide structural and chemical diversity of metabolites.
In metabolomics or in metabolism,
we will find extremely diverse chemical diversity of chemical structure.
Here you have some examples of metabolites,
ranging from different polarities and different chemical instabilities.
This will determine the way we analyze these metabolites in a global scope.
This is one reason why the experimental design is so important.
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