Best practice in 13C metabolic flux analysis using mass spectrometry

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  • Date: Sep 28, 2017 - 15:00 - 16:00 (local time)
  • Presenter: Nicola ZamboniAgilent Technologies
  • Categories: Base Peak
thumbnail image: Best practice in <sup>13</sup>C metabolic flux analysis using mass spectrometry

Latest webinar from Agilent Technologies

Best practice in 13C metabolic flux analysis
using mass spectrometry


Broadcast on September 28, 2017
This webinar is now available on-demand.
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Carbon-13 metabolic flux analysis is the exclusive method to track in vivo reaction and pathway rates within cells. While very powerful, the method requires careful design, execution, and interpretation to deliver actionable hypotheses. The webinar will at first touch on the key concepts of 13C metabolic flux analysis. In the second part, it will focus on performing qualitative 13C experiments that deliver flux information without the need for complex mathematical frameworks.

Key Learning Objectives:

  • Understand the principles of stationary and non-stationary 13C metabolic flux analysis
  • Describe the workflow from experiment to data visualization
  • Learn about common pitfalls

Who should attend:

  • Scientists who are interested in performing metabolic flux analysis

   Your Presenter

Nicola Zamboni

Nicola Zamboni

Senior Scientist
Inst. of Molecular Systems Biology
ETH Zurich

Nicola Zamboni: Biography

Nicola Zamboni earned his PhD in Biotechnology in the group of Jay Bailey at ETH Zurich with a thesis on metabolic engineering and 13C metabolic flux analysis. In 2004 he moved as a postdoctoral fellow to the Stanford Genome Technology Center, where he developed and applied metabolomics-based approaches for unraveling metabolic changes in eukaryotic cells. Since late 2005, he’s a group leader and independent PI at the Institute of Molecular Systems Biology of ETH Zurich.
His lab focuses on the development of mass spectrometry and computational methods to investigate cellular metabolism from bacteria to human cells in a variety of questions of systems biology, metabolic engineering, drug development against pathogens or cancer, aging, immunology, toxicology, cell differentiation, nutrition, evolution, etc.
The lab researches novel tools and techniques to assess both the state and activity of metabolic networks. In particular, they strive to develop generally applicable approaches that can cope with technically difficult systems such as mammalian cells, complex environments, dynamic systems, and heterogeneous populations. The group pursues a primarily data-driven approach largely based on mass spectrometry, i.e. metabolomics and tracer studies with stable isotopes. These methods are integrated with mathematical modelling to support workflow management, data mining, and interpretation.

For Research Use Only. Not for use in diagnostic procedures.


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