Search result: Catalogue data in Autumn Semester 2016

Biology Master Information
Elective Major Subject Areas
Elective Major: Biochemistry
Elective Compulsory Master Courses
NumberTitleTypeECTSHoursLecturers
529-0733-00LEnzymesW7 credits3GD. Hilvert
AbstractPrinciples 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.
ObjectiveOverview of enzymes, enzyme-catalyzed reactions and metabolic processes.
ContentPrinciples 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 notesA script will not be handed out.
LiteratureGeneral:
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.
551-1105-00LGlycobiologyW4 credits2VM. Aebi, T. Hennet
AbstractStructural 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.
ObjectiveDetailed 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.
ContentStructure 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 noteshandouts
LiteratureIntroduction 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 / NoticeThe course will be in English. It will include the preparation of short essays (marked) about defined topics in Glycobiology.
551-1103-00LMicrobial Biochemistry Information W4 credits2VJ. Vorholt-Zambelli, J. Piel
AbstractThe 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.
ObjectiveThe lecture course aims at providing an advanced understanding of the physiology and metabolism of microorganisms.
ContentImportant 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 notesA script will be provided during the course.
551-1153-00LSystems Biology of Metabolism
Number of participants limited to 15.
W4 credits2VU. Sauer, N. Zamboni, M. Zampieri
AbstractStarting 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.
ObjectiveDevelop a deeper understanding of how relevant biological problems can be solved, thereby providing advanced insights to key experimental and computational methods in systems biology.
ContentThe 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 notesScript and original publications will be supplied during the course.
Prerequisites / NoticeThe 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.
636-0001-00LSeparations in Biotechnology and Bioprocess EconomyW6 credits3GS. Panke
AbstractSeparations play an integral part of any biotechnological process. This course aims at enabling students specifically with a chemistry/biology background to select & roughly design suitable separation processes for typical biotechnological products such as monoclonal antibodies, antibiotics, and fine chemicals and at providing a basic set of purification operations & judge on process economy.
ObjectiveStudents should be able to select for a given biotechnological product a suitable set of purification operations and judge on process economy.
ContentIntroduction – membrane operations – adsorption and chromatography – crystallization – overall process economics –
Lecture notesHandouts during course
636-0007-00LComputational Systems Biology Information W6 credits3V + 2UJ. Stelling
AbstractStudy 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).
ObjectiveThe aim of this course is to provide an introductory overview of mathematical and computational methods for the modeling, simulation and analysis of biological networks.
ContentBiology 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 notesLink
LiteratureU. Alon, An introduction to systems biology. Chapman & Hall / CRC, 2006.

Z. Szallasi et al. (eds.), System modeling in cellular biology. MIT Press, 2006.
401-0649-00LApplied Statistical Regression Information W5 credits2V + 1UM. Dettling
AbstractThis 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.
ObjectiveThe students acquire advanced practical skills in linear regression analysis and are also familiar with its extensions to generalized linear modeling.
ContentThe 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 notesA script will be available.
LiteratureFaraway (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 / NoticeThe 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.
636-0003-00LBiological Engineering and BiotechnologyW6 credits3VM. Fussenegger
AbstractBiological 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.
Objective1. 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 notesHandsout during the course.
529-0041-00LModern Mass Spectrometry, Hyphenated Methods, and ChemometricsW6 credits3GR. Zenobi, M. Badertscher, B. Hattendorf, P. Sinués Martinez-Lozano
AbstractModern mass spectrometry, hyphenated analytical methods, speciation, methods of surface analysis, chemometrics.
ObjectiveComprehensive knowledge about the analytical methods introduced in this course, and their applications.
ContentCoupling 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 noteslecture notes will be available in the lecture at production cost.
Literatureinformation about relevant literature will be available in the lecture & in the lecture notes.
Prerequisites / NoticeExercises 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)
551-1407-00LRNA Biology Lecture Series I: Transcription & Processing & Translation Information W4 credits2VF. Allain, N. Ban, U. Kutay, further lecturers
AbstractThis course covers aspects of RNA biology related to gene expression at the posttranscriptional level. These include RNA transcription, processing, alternative splicing, editing, export and translation.
ObjectiveThe students should obtain an understanding of these processes, which are at work during gene expression.
ContentTranscription & 3'end formation ; splicing, alternative splicing, RNA editing; the ribosome & translation, translation regulation, RNP biogenesis & nuclear export, mRNA surveillance & mRNA turnover; signal transduction & RNA.
Prerequisites / NoticeBasic knowledge of cell and molecular biology.
  •  Page  1  of  1