Faculty of Science

Introduction to Nutritional Metabolomics
Provider: Faculty of Science

Activity no.: 5472-17-06-31
	Enrollment deadline: 27/01/2017

Place

Department of Nutrition Exercise and Sports

Date and time

13.02.2017, at: 09:00 - 17.02.2017, at: 13:00

Regular seats

Activity Prices:

- Open Market Agreement Students

0.00 €

- Nova partners

0.00 €

- Deltager/Participant Others

300.00 €

ECTS credits

3.00

Contact person

Gözde Gürdeniz E-mail address: gozde.gurdeniz@food.ku.dk

Enrolment Handling/Course Organiser

Lars Ove Dragsted E-mail address: LDRA@NEXS.KU.DK

Written language

English

Teaching language

English

Semester/Block

Block 3

Block note

Duration: 5 days

Exam form

Continuous assessment

Course workload

Course workload category	Hours
Preparation	40.00
Lectures	18.00
Project work	14.00
Theory exercises	6.00

Sum	78.00

Content

The course will provide an introduction to the LC-MS based nutritional metabolomics studies, aiming to cover key steps such as study design, sample collection and analysis, data handling methodologies and metabolite identification.

The students will go through common steps in a typical metabolomics study. Therefore, the major focus will be application of various free or commercial tools for data preprocessing, data analysis, and metabolite identification with computer based hands-on training using example datasets that will be provided to the students.

The course will finalize by presentations of reports generated by the students based on a case study.

SCIENCE, NordFOOD and NUGO homepages only. A limit of 16 participants has been set this year.

Learning outcome

The aim of this course is to introduce the students to all phases in a nutritional metabolomics study and to train the student in the use of available tools for data handling. Both targeted and untargeted LC-MS methodologies will be thought, yet major focus of the course is untargeted LC-MS based metabolomics.

After completing the course the students should be able to:

• Evaluate the effect of study design on data handling and interpretation of final outcome
• Suggest the sample type to analyze for a specific research question and propose the relevant sample collection and preparation procedure
• Understand the basic principles of LC-MS technology
• Carry out data preprocessing on using freely available tools such as MZmine
• Perform univariate and multivariate analysis on R/MATLAB
• Interpret the MS/MS spectra by utilizing available tools (e.g. CAMERA, MetFusion, MetFrag) and databases (e.g. HMDB, MassBank, MZCloud)

Teaching and learning methods

Lectures, hands-on exercises, group discussions.

Remarks

Lecturers:

• Lars O. Dragsted
• Gözde Gürdeniz
• Jan Stanstrup
• Rastislav Monosik
• Mads Vendelbo Lind

Fee:

• No fee for PhD students under the Open Market in Denmark and NOVA partners.
• Other participants are to pay a course fee of 300 EUR. Each student must pay and arrange their own travel and accommodation in Copenhagen during the course.

For more information please contact Gözde Gürdeniz: gozg@nexs.ku.dk

Click the search button to search Courses.

See which courses you can attend and when

Jan	Feb	Mar	Apr
May	Jun	Jul	Aug
Sep	Oct	Nov	Dec