Oct 17, 2019   2:36 p.m. Hedviga
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Course syllabus N441M0_4I - Metabolomics (FCFT - WS 2019/2020)


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University: Slovak University of Technology in Bratislava
Faculty: Faculty of Chemical and Food Technology
Course unit code: N441M0_4I
Course unit title: Metabolomics
Mode of delivery, planned learning activities and teaching methods:
lecture2 hours weekly (on-site method)

 
Credits allocated: 2
 
Recommended semester/trimester: Biochemistry and Biomedical Technologies - master (optional), 1. semester
Biochemistry and Biomedical Technologies - master (optional), 1. semester
Biotechnology - master (optional), 1. semester
Biotechnology - master (optional), 1. semester
Food, Hygiene, Cosmetics - master (optional), 1. semester
Nutrition and Food Quality Assessment - master (optional), 1. semester
Level of study: 1. + 2.
Prerequisites for registration: none
 
Assesment methods:
Successful completion of written tests
 
Learning outcomes of the course unit:
Metabolomics is a modern and developing science complementing genomics, transcriptomics, proteomics as well as the analysis of complex mixtures such as food. Student will know the principles of most used methods in metabolomics – NMR spectroscopy including in vivo, and mass spectrometry with chromatography separation. He/she will know how to use it studying endo- and exo-metabolome with their respective advantages and disadvantages. The graduates will also know how to evaluate data using multivariate statistical methods.
 
Course contents:
1.The introduction to metabolomics.
2.NMR spectroscopy. Basic principles. NMR spectrometer. Chemical shift. Spin interactions. Relaxation.
3.Measuring NMR spectra. Sample preparation. Instrument setup. Measurement parameters. Advanced NMR methods.
4.Spectral processing methods. Binning. Metabolite quantitation.
5.In vivo MRS. Animal models. Localization. Advanced MRS methods.
6.GC-MS. Principles. Sample preparation. Derivatization. Measurement. Evaluation.
7.LC-MS. Principles. Differences to GC-MS. Practical use.
8.Statistical evaluation of metabolomic data – data reduction, data filtering, normalization, PCA, PLS-DA
 
Recommended or required reading:
Basic:
VARGA, Š. Matematická štatistika. Bratsilava : Nakladateľstvo STU, 2012. 219 p. ISBN 978-80-227-3789-0.

Recommended:
LINDON, J. C., NICHOLSON, J. K, HOLMES, E. Handbook of Metabonomics and Metabolomics : Elsevier, 2007. 572 s. ISBN 978-04-445-2841-4

 
Language of instruction: slovak
 
Notes:
If a student chooses the subject in the 1. semester, he/she cannot choose it in 3. semester of master studies.
 
Courses evaluation:
Assessed students in total: 0

Name of lecturer(s): Ing. Michal Kaliňák, PhD. (examiner, instructor, lecturer) - slovak
RNDr. Svatava Kašparová, PhD. (instructor, lecturer) - slovak
prof. Ing. Ivan Špánik, DrSc. (examiner, lecturer, person responsible for course) - slovak
doc. RNDr. Zdenko Takáč, PhD. (instructor, lecturer) - slovak
 
Last modification: 11. 6. 2019
Supervisor: prof. Ing. Ivan Špánik, DrSc. and programme supervisor


Last modification made by Ing. Tomáš Molnár on 06/11/2019.

Type of output: