Search result: Catalogue data in Autumn Semester 2017
Biology Master | ||||||
Elective Major Subject Areas | ||||||
Elective Major: Biochemistry | ||||||
Elective Compulsory Master Courses | ||||||
Number | Title | Type | ECTS | Hours | Lecturers | |
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529-0733-00L | Enzymes | W | 7 credits | 3G | D. Hilvert | |
Abstract | Principles of enzymatic catalysis, enzyme kinetics, mechanisms of enzyme-catalyzed reactions (group transfer reactions, carbon-carbon bond formation, eliminations, isomerisations and rearrangements), cofactor chemistry, enzymes in organic synthesis and the biosynthesis of natural products, catalytic antibodies. | |||||
Learning objective | Overview of enzymes, enzyme-catalyzed reactions and metabolic processes. | |||||
Content | Principles of enzymatic catalysis, enzyme kinetics, mechanisms of enzyme catalyzed reactions (group transfer reactions, carbon-carbon bond formation, eliminations, isomerisations and rearrangements), cofactor chemistry, enzymes in organic synthesis and the biosynthesis of natural products, catalytic antibodies. | |||||
Lecture notes | A script will not be handed out. | |||||
Literature | General: T. Bugg, An Introduction to Enzyme and Coenzyme Chemistry, Blackwell Science Ltd., Oxford, 1997. In addition, citations from the original literature relevant to the individual lectures will be assigned weekly. | |||||
551-1105-00L | Glycobiology | W | 4 credits | 2V | M. Aebi, T. Hennet | |
Abstract | Structural principles, nomenclature and different classes of glycosylation. The different pathways of N- and O-linked protein glycosylation and glycolipid biosynthesis in prokaryotes and eukaryotes are discussed. Specific glycan binding proteins and their role in deciphering the glycan code are presented. The role of glycans in infectious diseases, antigen mimicry and autoimmunity are discussed. | |||||
Learning objective | Detailed knowledge in 1) the different areas of prokaryotic and eukaryotic glycobiology, in particular in the biosynthesis of glycoproteins and glycolipids, 2) the cellular machinery required for these pathways, 3) the principles of carbohydrate/protein interaction, 4) the function of lectins, 5) the role of glycans in infectious disease. | |||||
Content | Structure and linkages; analytical approaches; N-linked protein glycosylation (ER, Golgi); glycan-assisted protein folding and quality control; O-linked protein glycosylation; glucosaminoglycans; glycolipids; prokaryotic glycosylation pathways; lectins; glycans and infectious disease | |||||
Lecture notes | handouts | |||||
Literature | Introduction to Glycobiology; M.E.Taylor, K.Drickamer, Oxford University Press, 2003 Essentials of Glycobiology (second edition); A.Varki et al. Cold Spring Harbor Laboratory Press, 2009 | |||||
Prerequisites / Notice | The course will be in English. It will include the preparation of short essays (marked) about defined topics in Glycobiology. | |||||
551-1103-00L | Microbial Biochemistry | W | 4 credits | 2V | J. Vorholt-Zambelli, J. Piel | |
Abstract | The lecture course aims at providing an advanced understanding of the physiology and metabolism of microorganisms. Emphasis is on processes that are specific to bacteria and archaea and that contribute to the widespread occurrence of prokaryotes. Applied aspects of microbial biochemistry will be pointed out as well as research fields of current scientific interest. | |||||
Learning objective | The lecture course aims at providing an advanced understanding of the physiology and metabolism of microorganisms. | |||||
Content | Important biochemical processes specific to bacteria and archaea will be presented that contribute to the widespread occurrence of prokaryotes. Applied aspects of microbial biochemistry will be pointed out as well as research fields of current scientific interest. Emphasis is on concepts of energy generation and assimilation. List of topics: Eating sugars and letting them in Challenging: Aromatics, xenobiotics, and oil Complex: (Ligno-)Cellulose and in demand for bioenergy Living on a diet and the anaplerotic provocation Of climate relevance: The microbial C1 cycle What are AMO and Anammox? 20 amino acids: the making of Extending the genetic code The 21st and 22nd amino acid Some exotic biochemistry: nucleotides, cofactors Ancient biochemistry? Iron-sulfur clusters, polymers Secondary metabolites: playground of evolution | |||||
Lecture notes | A script will be provided during the course. | |||||
551-1153-00L | Systems Biology of Metabolism Number of participants limited to 15. | W | 4 credits | 2V | U. Sauer, N. Zamboni, M. Zampieri | |
Abstract | Starting from contemporary biological problems related to metabolism, the course focuses on systems biological approaches to address them. In a problem-oriented, this-is-how-it-is-done manner, we thereby teach modern methods and concepts. | |||||
Learning objective | Develop a deeper understanding of how relevant biological problems can be solved, thereby providing advanced insights to key experimental and computational methods in systems biology. | |||||
Content | The course will be given as a mixture of lectures, studies of original research and guided discussions that focus on current research topics. For each particular problem studied, we will work out how the various methods work and what their capabilities/limits are. The problem areas range from microbial metabolism to cancer cell metabolism and from metabolic networks to regulation networks in populations and single cells. Key methods to be covered are various modeling approaches, metabolic flux analyses, metabolomics and other omics. | |||||
Lecture notes | Script and original publications will be supplied during the course. | |||||
Prerequisites / Notice | The course extends many of the generally introduced concepts and methods of the Concept Course in Systems Biology. It requires a good knowledge of biochemistry and basics of mathematics and chemistry. | |||||
636-0007-00L | Computational Systems Biology | W | 6 credits | 3V + 2U | J. Stelling | |
Abstract | Study of fundamental concepts, models and computational methods for the analysis of complex biological networks. Topics: Systems approaches in biology, biology and reaction network fundamentals, modeling and simulation approaches (topological, probabilistic, stoichiometric, qualitative, linear / nonlinear ODEs, stochastic), and systems analysis (complexity reduction, stability, identification). | |||||
Learning objective | The aim of this course is to provide an introductory overview of mathematical and computational methods for the modeling, simulation and analysis of biological networks. | |||||
Content | Biology has witnessed an unprecedented increase in experimental data and, correspondingly, an increased need for computational methods to analyze this data. The explosion of sequenced genomes, and subsequently, of bioinformatics methods for the storage, analysis and comparison of genetic sequences provides a prominent example. Recently, however, an additional area of research, captured by the label "Systems Biology", focuses on how networks, which are more than the mere sum of their parts' properties, establish biological functions. This is essentially a task of reverse engineering. The aim of this course is to provide an introductory overview of corresponding computational methods for the modeling, simulation and analysis of biological networks. We will start with an introduction into the basic units, functions and design principles that are relevant for biology at the level of individual cells. Making extensive use of example systems, the course will then focus on methods and algorithms that allow for the investigation of biological networks with increasing detail. These include (i) graph theoretical approaches for revealing large-scale network organization, (ii) probabilistic (Bayesian) network representations, (iii) structural network analysis based on reaction stoichiometries, (iv) qualitative methods for dynamic modeling and simulation (Boolean and piece-wise linear approaches), (v) mechanistic modeling using ordinary differential equations (ODEs) and finally (vi) stochastic simulation methods. | |||||
Lecture notes | Link | |||||
Literature | U. Alon, An introduction to systems biology. Chapman & Hall / CRC, 2006. Z. Szallasi et al. (eds.), System modeling in cellular biology. MIT Press, 2006. | |||||
401-0649-00L | Applied Statistical Regression | W | 5 credits | 2V + 1U | M. Dettling | |
Abstract | This course offers a practically oriented introduction into regression modeling methods. The basic concepts and some mathematical background are included, with the emphasis lying in learning "good practice" that can be applied in every student's own projects and daily work life. A special focus will be laid in the use of the statistical software package R for regression analysis. | |||||
Learning objective | The students acquire advanced practical skills in linear regression analysis and are also familiar with its extensions to generalized linear modeling. | |||||
Content | The course starts with the basics of linear modeling, and then proceeds to parameter estimation, tests, confidence intervals, residual analysis, model choice, and prediction. More rarely touched but practically relevant topics that will be covered include variable transformations, multicollinearity problems and model interpretation, as well as general modeling strategies. The last third of the course is dedicated to an introduction to generalized linear models: this includes the generalized additive model, logistic regression for binary response variables, binomial regression for grouped data and poisson regression for count data. | |||||
Lecture notes | A script will be available. | |||||
Literature | Faraway (2005): Linear Models with R Faraway (2006): Extending the Linear Model with R Draper & Smith (1998): Applied Regression Analysis Fox (2008): Applied Regression Analysis and GLMs Montgomery et al. (2006): Introduction to Linear Regression Analysis | |||||
Prerequisites / Notice | The exercises, but also the classes will be based on procedures from the freely available, open-source statistical software package R, for which an introduction will be held. In the Mathematics Bachelor and Master programmes, the two course units 401-0649-00L "Applied Statistical Regression" and 401-3622-00L "Regression" are mutually exclusive. Registration for the examination of one of these two course units is only allowed if you have not registered for the examination of the other course unit. | |||||
529-0041-00L | Modern Mass Spectrometry, Hyphenated Methods, and Chemometrics | W | 6 credits | 3G | R. Zenobi, M. Badertscher, B. Hattendorf | |
Abstract | Modern mass spectrometry, hyphenated analytical methods, speciation, methods of surface analysis, chemometrics. | |||||
Learning objective | Comprehensive knowledge about the analytical methods introduced in this course, and their applications. | |||||
Content | Coupling of separation with identification methods such as GC-MS, LC-MS, GC-IR, LC-IR, LC-NMR etc.; importance of speciation. Modern mass spectrometry: Time of flight and ion cyclotron resonance mass spectrometry, ICP-MS. Soft ionization methods, desorption methods, spray methods. Methods of surface analysis (ESCA, Auger, SIMS, raster microscopy methods). Employment of computer science for processing data in chemical analysis (chemometrics). | |||||
Lecture notes | lecture notes will be available in the lecture at production cost. | |||||
Literature | information about relevant literature will be available in the lecture & in the lecture notes. | |||||
Prerequisites / Notice | Exercises are an integral part of the lecture. Prerequisites: 529-0051-00 "Analytische Chemie I (3. Semester)" 529-0058-00 "Analytische Chemie II (4. Semester)" (or equivalent) | |||||
551-1409-00L | RNA Biology Lecture Series II: Non-coding RNAs: Biology and Therapeutics | W | 4 credits | 2V | J. Hall, M. Stoffel, further lecturers | |
Abstract | This course covers aspects of RNA biology related to the functions of non-coding RNAs as well as their use as drugs to treat diseases. | |||||
Learning objective | The students should get familiar with the wide array of roles, which non-coding RNAs play in cellular functions. | |||||
Content | Micro RNAs; computational approaches to miRNAs; micro RNA function in metabolism; viruses and viral RNAs; nucleic acid-based drugs; ncRNA-mediated genome regulation; epigenetic programming of genome remodelling in ciliates; telomerase and telomeres; tRNA biology. http://www.nccr-rna-and-disease.ch/tiki-index.php?page=LectureSeries | |||||
Prerequisites / Notice | Basic knowledge of cell and molecular biology. | |||||
636-0108-00L | Biological Engineering and Biotechnology Attention: This course was offered in previous semesters with the number: 636-0003-00L "Biological Engineering and Biotechnology". Students that already passed course 636-0003-00L cannot receive credits for course 636-0108-00L. | W | 4 credits | 3V | M. Fussenegger | |
Abstract | Biological Engineering and Biotechnology will cover the latest biotechnological advances as well as their industrial implementation to engineer mammalian cells for use in human therapy. This lecture will provide forefront insights into key scientific aspects and the main points in industrial decision-making to bring a therapeutic from target to market. | |||||
Learning objective | Biological Engineering and Biotechnology will cover the latest biotechnological advances as well as their industrial implementation to engineer mammalian cells for use in human therapy. This lecture will provide forefront insights into key scientific aspects and the main points in industrial decision-making to bring a therapeutic from target to market. | |||||
Content | 1. Insight Into The Mammalian Cell Cycle. Cycling, The Balance Between Proliferation and Cancer - Implications For Biopharmaceutical Manufacturing. 2. The Licence To Kill. Apoptosis Regulatory Networks - Engineering of Survival Pathways To Increase Robustness of Production Cell Lines. 3. Everything Under Control I. Regulated Transgene Expression in Mammalian Cells - Facts and Future. 4. Secretion Engineering. The Traffic Jam getting out of the Cell. 5. From Target To Market. An Antibody's Journey From Cell Culture to The Clinics. 6. Biology and Malign Applications. Do Life Sciences Enable the Development of Biological Weapons? 7. Functional Food. Enjoy your Meal! 8. Industrial Genomics. Getting a Systems View on Nutrition and Health - An Industrial Perspective. 9. IP Management - Food Technology. Protecting Your Knowledge For Business. 10. Biopharmaceutical Manufacturing I. Introduction to Process Development. 11. Biopharmaceutical Manufacturing II. Up- stream Development. 12. Biopharmaceutical Manufacturing III. Downstream Development. 13. Biopharmaceutical Manufacturing IV. Pharma Development. | |||||
Lecture notes | Handout during the course. |
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