Syllabus
Seeing is believing - visualisation of specimens using various microscopes (SEM, TEM, light-based including life cell imaging, superresolution and image analysis Genetic analysis - preparation of samples for sequencing, transcriptomics, and proteomics analysis. Protein and nucleic acid isolation, characterization of structure and function Bioinformatics is applied to sequencing, transcriptomics and proteomics data. Design of gene modification (of the selected model organism), gene modification following functional analysis. Phenogenomics analysis - case study using genetically modified mouse model. Introduction to histological techniques - application of fluorescent proteins and probes. Preparation of samples - cell suspensions and use of antibodies + hands on training on flow cytometer.
Annotation
The practical course Biology – Laboratory is a hands on complement to the Biological Techniques, where selected methodologies are trained as case projects using advanced instruments located in Faculty of Science core facilities. Most of the practical are intended to be organized in BIOCEV, where state of art facilities are located, together with educational lab environment. Practical tasks will be typically performed using model organisms including E. coli, S. cerevisiae or pombe, X. tropicalis or M. musculus as a problem-oriented exercise reflecting the real scientific project – implemented with education of basic laboratory skills.
The list of covered techniques will correspond to the broad diversity of biological disciplines, with the emphasis to apply state of art approaches. All practical tasks are given by active scientists - experts in a field they teach or core facility specialists.
The course Biology – Laboratory forms the integral unit with Biological Techniques namely and in extenso with three prerequisite courses (From molecules to cells, From cells to organisms and On the Evolution and Ecology).
The practical course (5 days) is built from topical blocks (see Syllabus) followed by the presentation workshop focused on data mining strategies an effective presentation skills (1 day) and students own presentation of acquired data in a poster and oral format (1 day conference-style).