The use of mass spectrometry for molecular phenotyping
TS Metabolomics –
Measuring Metabolic Adaptation
February 8th - 10th 2015
Workshop organizers
Stefanie Wienkoop, Thomas Nägele, Lena Fragner & Wolfram Weckwerth
Department Ecogenomics and Systems Biology
University of Vienna
Althanstrasse 14
1090 Vienna, Austria
email: Stefanie.Wienkoop@univie.ac.at
email: Thomas.Naegele@univie.ac.at
Summary
The systematic description of living systems requires a substantial sample throughput in parallel with comprehensive and accurate analysis of as many constituents as possible. Metabolomics is currently one of the most promising high-throughput phenotyping approach of biological systems. As a unique diagnostic technique to confirm rapid changes in metabolism, it provides insights into gene function and plant metabolism. Nowadays, metabolomics technologies have a broad application range comprising plant science, biotechnology, microbiology and biomedical research. For metabolomics, both gas chromatography coupled to mass spectrometry (GC-MS) and liquid chromatography coupled to MS (LC-MS) have evolved as central technologies.
This training school will provide insights into basic definitions and workflows of these metabolomics technologies including a practical (hands on) introduction to sample preparation and mass spectrometry. A strong emphasis will also be given to data mining strategies including data processing, analysis and interpretation.
Visit also: http://www.univie.ac.at/mosys/cms/index.php?id=296
Program
Day 1 Metabolomics: background information + Wet experiments
Time Description Details
09:00 Welcome and Introduction Ecogenomics and Systems Biology
(Wolfram Weckwerth & Stefanie Wienkoop) Seminar Room 1.320
Althanstraße 14, 1090 Vienna
09:15 Lecture: Metabolomics and Molecular Phenotyping in Systems Biology (Wolfram Weckwerth)
10:15 Coffee break
10:30 Extraction of samples
12:00 Lunch
13:30 Continue Extraction
15:00 Coffee Break
15:30 Lecture: LC-MS/ unbiased data processing (Hannes Doerfler)
16:15 Lecture: Introduction to GC-MS (Thomas Nägele, Lena Fragner)
19:00 Dinner
Day 2 Wet experiments, Intro in GC-MS and Data processing
Time Description Details
09:00 2 groups
Group 1: GC-MS Introduction
Group 2: Derivatisation/Measurement
10:30 Coffee break
11:00 GC-MS Introduction/Derivatisation
Group 1: Derivatisation/Measurement
Group 2: GC-MS Introduction
12:30 Lunch
14:00 GC-MS Data Evaluation
16:00 Coffee break
16:30 GC-MS Data Evaluation
19:00 Dinner
Day 3 GC-MS analysis and Data processing
Time Description Details
09:15 Lecture: Introduction to Data evaluation:
Basics in Statistics and Modelling (Thomas Nägele)
10:30 Coffee Break
10:45 Data Evaluation/Statistics & Modelling Hands-on
12:30 Lunch
14:00 Data Evaluation/Statistics & Modelling Hands-on
15:00 Coffee break
15:15 Summary of results for short presentation (problems and solutions)
17:00 Presentations & Final Discussion