Genomics and Proteomics
Full course description
With introduction of genomics in the early 90’s of the last century, it has added an extra dimension to the understanding of the molecular nature of life, allowing the detection of many different endogenuous compound classes. Prerequisites were the unraveling of the genome, the proteome and metabolome of humans and other organisms, with special attention to the development of biomedical and analytical methods for the simultaneous analysis of the expression levels of as much as possible genes, proteins and endogenuous metabolites. This course will give students insight in the analytical principles behind omics-technologies such as array-based analysis (PCR, DNA sequencing), 2D and capillary electrophoresis, mass spectrometry and advanced statistical and data informatics. It will discuss the information that can or cannot be obtained by the different ‘omics’-approaches, and in the novel developments of omics-applications such as miRNA arrays, analysis of the epigenome, and next generation sequencing. Specific themes of the course are trancriptomics, proteomics, metabolomics with special attention for the surplus value of combining data from various omics-approaches as the best way to understand life (Systems Biology). Special areas of attention are Nutrigenomics and Toxicogenomics within the context opf drug discovery.
Course objectives
- To understand how technologies in the “Omics” sciences are used to unravel the biology of life.
- To understand the basic principles analytical techniques in support of genomics, proteomics, metabolomics and data sciences.
- To gain insight in the advantages and limitations of omics-based experiments, design of in vitro and in vivo studies.
- To appreciate the surplus value of combining data from different omics-applications as a systems approach.
- To provide the basis for gaining insight in bioinformatics and computational genomics.
Prerequisites
- BIO2007
Co-requisites
- None
Recommended
- Knowledge on CHE3008, MAT1006
Recommended reading
- Sethi et al. Approaches for targeted proteomics and its potential applications in neuroscience. J. Biosci. 2015.
- Drake et al. Challenges to developing proteomic-based breast cancer diagnostics. OMICS 2011.
- Malone et al. Microarrays, deep sequencing and the true measure of the transcriptome. BMC Biology 2011.