Suchergebnis: Katalogdaten im Herbstsemester 2017
Biotechnologie Master | ||||||
Master-Studium (Studienreglement 2017) | ||||||
Kernfächer Students need to acquire a total of 8 ECTS in lectures in this category. The list of core courses is a closed list, no other course can be added to this category. Students need to pass both lectures offered in this category. | ||||||
Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |
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636-0101-00L | Systems Genomics Attention: This course was offered in previous semesters with the number: 636-0005-00L "Systems Biology". Students that already passed course 636-0005-00 cannot receive credits for course 636-0101-00. | O | 4 KP | 3G | N. Beerenwinkel, C. Beisel, S. Reddy | |
Kurzbeschreibung | This lecture course is an introduction to Systems Genomics. It addresses how fundamental questions in biological systems are studied and how the resulting data is statistically analyzed in order to derive predictive mathematical models. The focus is on viewing biology from a genomic perspective, which requires high-throughput experimental methods (e.g., RNA-seq, genome-scale screening, single-cell | |||||
Lernziel | The goal of this course is to learn how a detailed quantitative description of genome biology can be employed for a better understanding of molecular and cellular processes and function. Students will learn fundamental questions driving the field of Systems Genomics. They will also be introduced to traditional and advanced state-of-the-art technologies (e.g., CRISPR-Cas9 screening, droplet-microfluidic sequencing, cellular genetic barcoding) that are used to obtain quantitative data in Systems Genomics. They will learn how to use these data to develop mathematical models and efficient statistical inference algorithms to recognize patterns, molecular interrelationships, and systems behavior. Finally, students will gain a perspective of how Systems Genomics can be used for applied biological sciences (e.g., drug discovery and screening, bio-production, cell line engineering, biomarker discovery, and diagnostics). | |||||
Inhalt | Lectures in Systems Genomics will alternate between lectures on (i) biological questions, experimental technologies, and applications, and (ii) statistical data analysis and mathematical modeling. Selected complex biological systems and the respective experimental tools for a quantitative analysis will be presented. Some specific examples are the use of RNA-sequencing to do quantitative gene expression profiling, CRISPR-Cas9 genome scale screening to identify genes responsible for drug resistance, single-cell measurements to identify novel cellular phenotypes, and genetic barcoding of cells to dissect development and lineage differentiation. Main Topics: -- Next-generation sequencing -- Transcriptomics -- Biological network analysis -- Functional and perturbation genomics -- Single-cell biology and analysis -- Genomic profiling of the immune system -- Genomic profiling of cancer -- Evolutionary genomics -- Genome-wide association studies Selected genomics datasets will be analyzed by students in the tutorials using the statistical programming language R and dedicated Bioconductor packages. | |||||
Skript | The PowerPoint presentations of the lectures as well as other course material relevant for an active participation will be made available online. | |||||
Literatur | -- Do K-A, Qin ZS & Vannucci M (2013) Advances in Statistical Bioinformatics: Models and Integrative Inference for High-Throughput Data, Cambridge University Press -- Klipp E. et al (2009) Systems Biology, Wiley-Blackwell -- Alon U (2007) An Introduction to Systems Biology, Chapman & Hall -- Zvelebil M & Baum JO (2008) Understanding Bioinformatics, Garland Science | |||||
636-0102-00L | Advanced Bioengineering | O | 4 KP | 3S | S. Panke, Y. Benenson, P. S. Dittrich, M. Fussenegger, A. Hierlemann, M. H. Khammash, D. J. Müller, R. Paro, R. Platt, T. Schroeder | |
Kurzbeschreibung | This course provides an overview of modern concepts of bioengineering across different levels of complexity, from single molecules to systems, microscaled reactors to production environments, and across different fields of applications | |||||
Lernziel | Students will be able to recognize major developments in bioengineering across different organisms and levels of complexity and be able to relate it to major technological and conceptual advances in the underlying sciences. | |||||
Inhalt | Molecular and cellular engineering; Synthetic biology: Engineering strategies in biology; from single molecules to systems; downscaling bioengineering; Bioengineering in chemistry, pharmaceutical sciences, and diagnostics, personalized medicine. | |||||
Skript | Handouts during class | |||||
Literatur | Will be announced during the course | |||||
Praktika Students need to acquire a total of 14 ECTS in lab courses. All listed lab courses are mandatory. | ||||||
Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |
636-0201-00L | Lab Course: Methods in Cell Analysis and Laboratory Automation Only for Biotechnology MSc, Programme Regulations 2017. | O | 2 KP | 6P | T. Horn | |
Kurzbeschreibung | The course Methods in Cell Analysis and Laboratory Automation introduces students to high-end cell analysis and sample preparation methods including image analysis. Students will be taught theoretical aspects and skills in Flow Cytometry, Light Microscopy, Image Analysis, and the use of Laboratory Automation. | |||||
Lernziel | -to understand the technical and physical principles of light microscopes and flow cytometers -to have hands-on experience in the use of these technologies to analyze/image real samples -to be able to run a basic analysis of the data and images obtained with flow cytometers and microscopes -to get introduced to liquid handling (pipetting) robotics and learn how to implement a basic workflow | |||||
Inhalt | The practical course will have five units at 2 days each (total 10 days): 1. Flow Cytometry: a. Introduction to Flow Cytometry b. Practical demonstration on flow cytometry analyzers and flow cytometry cell sorters c. Flow cytometry sample preparation d. Learn how to use flow cytometry equipment to analyze and sort fluorescence-labeled cells 2. Light microscopy a. Learn how to build a microscope and understand the underlying physical principles b. Learn how to use a modern automated wide field fluorescence microscope c. Use this microscope to automatically acquire images of a cell culture assay to analyze the dose-dependent effect of a drug treatment 3. Image Analysis a. Introduction to the fundamentals of image analysis b. Learn the basics of the image analysis software Fiji/ImageJ c. Use Fiji/ImageJ to analyze the images acquired during the microscopy exercise 4. Laboratory Automation a. Introduction to the basics of automated liquid handling/ lab robotics b. See examples on using lab automation for plasmid library generation and cell cultivation c. Learn how to program and execute a basic pipetting workflow including liquid handling and labware transfers on Tecan and Hamilton robotic systems 5. Presentations a. Each student will be assigned to an individual topic of the course and will have to prepare a presentation on it. b. Presentations and discussion in form of a Colloquium | |||||
Skript | You will find further information on the practical course and the equipment at: https://www.bsse.ethz.ch/scf https://www.bsse.ethz.ch/laf | |||||
Literatur | Microscopy: Murphy and Davidson, Fundamentals of Light Microscopy and Electronic Imaging, John Wiley & Sons, 2012 Flow Cytometry: Shapiro, Practical Flow Cytometry, John Wiley & Sons, 2005 Image analysis: R. C. Gonzalez, R. E. Woods, Digital Image Processing (3rd Edition), Prentice Hall Laboratory Automation: Design and construction of a first-generation high-throughput integrated robotic molecular biology platform for bioenergy applications (2011) J. Lab. Autom., 16(4), 292-307 | |||||
Voraussetzungen / Besonderes | The following knowledge is required for the course: -basic laboratory methods -basic physics of optics (properties of light, refraction, lenses, fluorescence) -basic biology of cells (cell anatomy and physiology) | |||||
636-0202-00L | Lab Course: Next-Generation Sequencing Only for Biotechnology MSc, Programme Regulations 2017. | O | 2 KP | 5P | C. Beisel, R. Paro, S. Reddy | |
Kurzbeschreibung | The Lab Course will take place Monday/Tuesday 9-17h, 10 days in total, start of this lab course is on Monday, September 25 2017. | |||||
Lernziel | Students shall obtain a basic understanding in NGS and its application in transcription profiling including theoretical considerations when starting an RNA-seq experiment and the practical hands-on work of library preparation and usage of bioinformatics tools for data analysis. | |||||
Inhalt | Introduction to NGS technologies and applications. Design of an RNA-seq transcription profiling experiment. Specific treatment of cells (+/- signal-induction) and RNA extraction. Handling and quality control of RNA samples. Sequencing library preparation starting with total RNA. Quality control and quantification of the libraries. Setup of an NGS run and sequencing of the prepared RNA-seq libraries using the NextSeq 500 system. Analysis of the generated sequence data: sequence data QC, criteria for run performance and quality of data; pre-processing of the raw data; mapping sequence reads to a reference sequence; quantification of transcript abundance and differential gene expression. | |||||
Skript | Material will be provided during the course | |||||
Literatur | Sara Goodwin, John D. McPherson & W. Richard McCombie. Coming of age: ten years of next-generation sequencing technologies. Nature Reviews Genetics 17, 333-351 (2016) Zhong Wang, Mark Gerstein & Michael Snyder. RNA-Seq: a revolutionary tool for transcriptomics. Nature Reviews Genetics 10, 57-63 (January 2009) Fatih Ozsolak & Patrice M. Milos. RNA sequencing: advances, challenges and opportunities. Nature Reviews Genetics 12, 87-98 (February 2011) Ana Conesa, Pedro Madrigal, Sonia Tarazona et al. A survey of best practices for RNA-seq data analysis. Genome Biology 2016 17:13. | |||||
636-0203-00L | Lab Course: Microsystems and Microfluidics in Biology Only for Biotechnology MSc, Programme Regulations 2017. | O | 2 KP | 5P | P. S. Dittrich, A. Hierlemann | |
Kurzbeschreibung | This practical course is an introduction to microsystems technology and microfluidics for the life sciences. It includes basic concepts of microsystem design, fabrication, and assembly into an experimental setup. Biological applications include a variety of measurements of cellular and tissue signals and subsequent analysis. | |||||
Lernziel | The students are introduced to the basic principles of microsystems technology. They get acquainted with practical scientific work and learn the entire workflow of (a) understanding the theoretical concept, (b) planning the experiment, (c) engineering of the needed device, (d) execution of the experiment and data acquisition, (e) data evaluation and analysis, and (f) reporting and discussion of the results. | |||||
Inhalt | The practical course will consist of a set of 4-8 experiments. | |||||
Skript | Notes and guidelines will be provided at the beginning of the course. | |||||
Literatur | - S.M. Sze, "Semiconductor Devices, Physics and Technology", 2nd edition, Wiley, 2002 - W. Menz, J. Mohr, O. Paul, "Microsystem Technology", Wiley-VCH, 2001 - G. T. A. Kovacs, "Micromachined Transducers Sourcebook", McGraw-Hill, 1998 - M. J. Madou, "Fundamentals of Microfabrication", 2nd ed., CRC Press, 2002 - N.-T. Nguyen and S. Wereley, "Fundamentals and Applications of Microfluidics", Artech House, ISBN 1-580-53343-4 - O. Geschke et al., "Microsystem Engineering for Chemistry and the Life Sciences", Wiley-VCH, ISBN 3-527-30733-8 | |||||
Voraussetzungen / Besonderes | The practical course will consist of a set of 4-8 experiments. For each experiment, the student will be required to - understand the theoretical concept behind the experiment - plan the experiment - engineer the devices - execute the experiments and acquire data - evaluate and analyze the data - report and discuss the results | |||||
Vertiefungsfächer Students need to aquire a total of 24 ECTS in this category. The list of advanced courses is a closed list, no other course can be added to this category. | ||||||
Biomolekulare Orientierung | ||||||
Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |
636-0103-00L | Microtechnology Attention: This course was offered in previous semesters with the number: 636-0020-00 "Microtechnology and Microelectronics". Students that already passed course 636-0020-00 cannot receive credits for course 636-0103-00. | W | 4 KP | 3G | A. Hierlemann | |
Kurzbeschreibung | Students are introduced to the basics of microtechnology, cleanroom, semiconductor and silicon process technologies. They will get to know the fabrication of mostly silicon-based microdevices and -systems and all related microfabrication processes. | |||||
Lernziel | Students are introduced to the basics of microtechnology, cleanroom, semiconductor and silicon process technologies. They will get to know the different fabrication methods for various microdevices and systems. | |||||
Inhalt | Introduction to microtechnology, semiconductors, and micro electro mechanical systems (MEMS) - Fundamentals of semiconductors and band model - Fundamentals of devices: transistor and diode. - Silicon processing and fabrication steps - Silicon crystal structure and manufacturing - Thermal oxidation - Doping via diffusion and ion implantation - Photolithography - Thin film deposition: dielectrics and metals - Wet etching & bulk micromachining - Dry etching & surface micromachining - Microtechnological processing and fabrication sequence - Optional: Packaging | |||||
Skript | Handouts in English | |||||
Literatur | - S.M. Sze, "Semiconductor Devices, Physics and Technology", 2nd edition, Wiley, 2002 - R.F. Pierret, "Semiconductor Device Fundamentals", Addison Wesley, 1996 - R. C. Jaeger, "Introduction to Microelectronic Fabrication", Prentice Hall 2002 - S.A. Campbell, "The Science and Engineering of Microelectronic Fabrication", 2nd edition, Oxford University Press, 2001 - W. Menz, J. Mohr, O. Paul, "Microsystem Technology", Wiley-VCH, 2001 - G. T. A. Kovacs, "Micromachined Transducers Sourcebook", McGraw-Hill, 1998 - M. J. Madou, "Fundamentals of Microfabrication", 2nd ed., CRC Press, 2002 | |||||
Voraussetzungen / Besonderes | Fundamentals in physics and physicochemistry (orbital models etc.) are required, a repetitorium of fundamental physics and quantum theory at the semester beginning can be offered. The information on the web can be updated until the beginning of the semester. | |||||
636-0104-00L | Nanomachines of the Cell Attention: This course was offered in previous semesters with the number: 626-0010-00L "Nanomachines of the Cell (Part I): Principles". Students that already passed course 626-0010-00 cannot receive credits for course 636-0104-00. | W | 4 KP | 3G | D. J. Müller | |
Kurzbeschreibung | Molecular biotechnology students will combine basic knowledge in molecular cell biology, biochemistry, proteomics, biophysics, bioinformatics, bionanotechnology and engineering to learn how the nanomachines of the cell works and to use this knowledge to address future molecular biotechnological and bionanotechnological questions. Particularly it will be addressed how biomolecular units can be char | |||||
Lernziel | Gain of an interdisciplinary research and development competence, which qualifies for scientific work (master's or doctoral thesis) as well as for work in the research and development department of a biotechnological company. The module is of general use in nano- and biotechnological courses of study focusing modern biomolecular technologies. | |||||
Inhalt | What are nanomachines of the cell? Understanding the cell as a complex factory. Are there engineering principles of the cell and if so what can we learn? Introducing new ways to understand and to apply engineering principles of cellular nanomachines in biotechnology and nanotechnology. Introduction into factors and mechanisms that determine protein folding and stability. Inter- and intramolecular interactions. Understanding the concept of an energy landscape to describe protein folding, stabilization, destabilization, and unfolding. Mechanisms of protein stabilization, destabilization and aggregation in health and disease. Are there methods and ways to prevent protein destabilization and aggregation? Mechanisms of protein destabilization in biomaterials science, bioengineering, and in biotechnological and pharmacological applications. Protein stability in biotechnology. Biophysical methods that allow quantifying protein stability. Methods to prevent protein destabilization in biotechnological applications. Ways to adjust and manipulate the protein stability in biotechnology and medicine. Designing molecular compounds that stabilize specific proteins. Designing molecular compounds that lead to protein destabilization, misfolding and denaturation. Biological and artificial membranes. Principles of membrane assembly, properties, stability and durability. Vesicles as containers for cargo. Engineering vesicles from native and synthetic components. Engineering ultrastable synthetic vesicles. Applying vesicles in biotechnology and medicine. Functionalizing vesicular membranes with proteins. Principles of membrane proteins. Structure and function relationship of membrane proteins. Importance of membrane proteins in pharmacology and biotechnology. Ways to structurally and functionally characterize membrane proteins. Bionanotechnological tools to handle and manipulate single membrane proteins. Membrane proteins as a toolbox to assemble nanoscopic functional vesicles. Designing multifunctional synthetic vesicles: Vesicles for drug delivery, vesicles for active transport, vesicles converting energy, vesicles switching their affinity, function, stability, and other properties. Energy currencies of the cell. Energy conversion. Storable and transient forms of energy. Nature created a variety of light-driven ion pumps. How can we use this pumps, how can we modify them to our purpose? Employing light-driven ion pumps in biotechnology. Employing light-driven proton pumps adsorbing different wavelengths to boost the membrane gradient. How to create a synthetic membrane that allows no diffusion of ions. Transforming a proton into a chloride pump. Tuning the adsorption spectra of a light-driven ion pump. Engineering proton pumps as safety standards for credit cards and ID cards. Engineering proton pumps for holographic devices. Native and artificial light-activated ion channels. Engineering light-activated channels for their use in neuroscience: Optogenetics. ATP synthases convert transient into storable energies. Experimental approaches to explore the nanoscopic rotary machinery of single ATP synthases. Are there ways to engineer and to exchange the building blocks of the ATP synthase? Ways to change to gear of ATP synthases and to 'tune' its fuel consumption. Engineering an artificial vesicular system to convert light into ion gradients to synthesize ATP. Engineering ATP synthases as nanopropellers to move vesicles. Engineering a light-frequency tuned proton pumps to control the speed of nanopropelled vesicles. Engineering light-driven ion pumps to power the synthetic ATP propellers and to steer vesicles. Engineering and employing ATP synthases as molecular mixing devices. Principles of signal transduction. The family of G-protein coupled receptors (GPCRs). Structure and function of GPCRs. Engineering (and other) possibilities to manipulate the functional state of GPCRs. | |||||
Skript | Hand out will be given to students at lecture. | |||||
Literatur | Alberts et al: Molecular Biology of the cell Biochemistry (5th edition), Jeremy M. Berg, John L. Tymoczko, Lubert Stryer; ISBN 0-7167-4684-0, Freeman Principles of Biochemistry, Nelson & Cox; ISBN: 1-57259-153-6, Worth Publishers, New York Cell Biology, Pollard & Earnshaw; ISBN:0-7216-3997-6, Saunder, Pennsylvania Intermolecular & Surface Forces, Israelachvili; ISBN: 0-12-375181-0, Academic Press, London Proteins: Biochemistry and Biotechnolgy, Walsh; ISBN: 0-471-899070, Wiley & Sons, New York Textbook of Biochemistry with Clinical Correlations, Devlin; ISBN: 0-471-411361, Wiley & Sons, New York Molecular Virology, Modrow et al.; ISBN: 3-8274-1086-X, Spektrum Verlag, Heidelberg | |||||
Voraussetzungen / Besonderes | The module is composed of 3 SWS (3 hours/week): 2-hour lecture, 1-hour seminar. For the seminar, students prepare oral presentations on specific in-depth subjects with/under the guidance of the teacher. | |||||
636-0105-00L | Introduction to Biological Computers Attention: This course was offered in previous semesters with the number: 636-0011-00L "Introduction to Biological Computers". Students that already passed course 636-0011-00L cannot receive credits for course 636-0105-00L. | W | 4 KP | 3G | Y. Benenson | |
Kurzbeschreibung | Biological computers are man-made biological networks that interrogate and control cells and organisms in which they operate. Their key features, inspired by computer science, are programmability, modularity, and versatility. The course will show how to rationally design, implement and test biological computers using molecular engineering, DNA nanothechnology and synthetic biology. | |||||
Lernziel | The course has the following objectives: * Familiarize students with parallels between theories in computer science and engineering and information-processing in live cells and organisms * Introduce basic theories of computation * Introduce approaches to creating novel biological computing systems in non-living environment and in living cells including bacteria, yeast and mammalian/human cells. The covered approaches will include - Nucleic acids engineering - DNA and RNA nanotechnology - Synthetic biology and gene circuit engineering - High-throughput genome engineering and gene circuit assembly * Equip the students with computer-aided design (CAD) tools for biocomputing circuit engineering. A number of tutorials will introduce MATLAB SimBiology toolbox for circuit design and simulations * Foster creativity, research and communication skills through semester-long "Design challenge" assignment in the broad field of biological computing and biological circuit engineering. | |||||
Inhalt | Note: the exact subjects can change, the details below should only serve for general orientation Lecture 1. Introduction: what is molecular computation (part I)? * What is computing in general? * What is computing in the biological context (examples from development, chemotaxis and gene regulation) * The difference between natural computing and engineered biocomputing systems Lecture 2: What is molecular computation (part II) + State machines 1st hour * Detailed definition of an engineered biocomputing system * Basics of characterization * Design challenge presentation 2nd hour * Theories of computation: state machines (finite automata and Turing machines) Lecture 3: Additional models of computation * Logic circuits * Analog circuits * RAM machines Basic approaches to computer science notions relevant to molecular computation. (i) State machines; (ii) Boolean networks; (iii) analog computing; (iv) distributed computing. Design Challenge presentation. Lecture 4. Classical DNA computing * Adleman experiment * Maximal clique problem * SAT problem Lecture 5: Molecular State machines through self-assembly * Tiling implementation of state machine * DNA-based tiling system * DNA/RNA origami as a spin-off of self-assembling state machines Lecture 6: Molecular State machines that use DNA-encoded tapes * Early theoretical work * Tape extension system * DNA and enzyme-based finite automata for diagnostic applications Lecture 7: Introduction to cell-based logic and analog circuits * Computing with (bio)chemical reaction networks * Tuning computation with ultrasensitivity and cooperativity * Specific examples Lecture 8: Transcriptional circuits I * Introducing transcription-based circuits * General features and considerations * Guidelines for large circuit construction Lecture 9: Transcriptional circuits II * Large-scale distributed logic circuits in bacteria * Toward large-scale circuits in mammalian cells Lecture 10: RNA circuits I * General principles of RNA-centered circuit design * Riboswitches and sRNA regulation in bacteria * Riboswitches in yeast and mammalian cells * General approach to RNAi-based computing Lecture 11: RNA circuits II * RNAi logic circuits * RNAi-based cell type classifiers * Hybrid transcriptional/posttranscriptional approaches Lecture 12: In vitro DNA-based logic circuits * DNAzyme circuits playing tic-tac-toe against human opponents * DNA brain Lecture 13: Advanced topics * Engineered cellular memory * Counting and sequential logic * The role of evolution * Fail-safe design principles Lecture 14: Design challenge presentation | |||||
Skript | Lecture notes will be available online | |||||
Literatur | As a way of general introduction, the following two review papers could be useful: Benenson, Y. RNA-based computation in live cells. Current Opinion in Biotechnology 2009, 20:471:478 Benenson, Y. Biocomputers: from test tubes to live cells. Molecular Biosystems 2009, 5:675:685 Benenson, Y. Biomolecular computing systems: principles, progress and potential (Review). Nature Reviews Genetics 13, 445-468 (2012). | |||||
Voraussetzungen / Besonderes | Basic knowledge of molecular biology is assumed. | |||||
636-0106-00L | Advanced Imaging Technologies Attention: This course was offered in previous semesters with the number: 636-0014-00L "Imaging in Systems Biology". Students that already passed course 636-0014-00 cannot receive credits for course 636-0106-00. | W | 4 KP | 3G | P. Pantazis | |
Kurzbeschreibung | Imaging in systems biology offers the unique advantage of observing complex biological processes with high spatiotemporal resolution in whole organisms, offering a path to more refined, quantitative dynamic models. The course highlights the recent introduction of advanced imaging tools and automated instrumentation that will enable researchers to apply imaging for both research and analysis. | |||||
Lernziel | The aim of the present teaching activity is to introduce the power of imaging to play a vital role in systems biology with an emphasis on addressing developmental biology processes in various animal models. The participant is expected to appreciate imaging as a particularly valuable tool in the pursuit of dissecting dynamic processes in complex biological systems. | |||||
Inhalt | This lecture course will give an in-depth view into modern microscopy covering emerging imaging techniques (e.g. volumetric imaging), applications of quantitative fluorescence microscopy (e.g. FRAP, FDAP, FCS), and digital image analysis (e.g. image processing, image visualization). The goal is to enable the participant to appreciate the potential of available imaging methodologies to address questions in biology and to interpret experimental imaging data. Given the introduction into model organisms covering fruitfly (Drosophila melanogaster), zebrafish (Danio rerio), and mice (Mus musculus), emphasis will be given to imaging applications in developmental biology processes. | |||||
Skript | Slides of the lecture will be available online. | |||||
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 KP | 3V | M. Fussenegger | |
Kurzbeschreibung | 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. | |||||
Lernziel | 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. | |||||
Inhalt | 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. | |||||
Skript | Handout during the course. | |||||
636-0107-00L | Microbial Biotechnology | W | 4 KP | 3G | S. Panke, M. Jeschek | |
Kurzbeschreibung | Students of this course know and can evaluate modern methods of microbial biotechnology and enzyme technology and understand their relation to modern applications of microbial biotechnology. | |||||
Lernziel | Students of this course know and can evaluate modern methods of microbial biotechnology and enzyme technology and understand their relation to modern applications of microbial biotechnology. | |||||
Inhalt | The course will cover in its main part selected fundamental and advanced topics and methodologies in microbial molecular biotechnology. Major topics include I) Microbial physiology of microbes (prokaryotes and selected fungi), II) Applications of Microbial Biotechnology, III) Enzymes - advanced kinetics and engineering, IV) Principles of in vivo directed evolution, V) System approaches to cell engineering/metabolic engineering, and VI) Trends in Microbial Biotechnology. The course is a mix of lectures and different exercise formats. | |||||
Skript | Notes will be provided in the forms of handouts. | |||||
Literatur | The course will use selected parts of textbooks and then original scientific publications and reviews. | |||||
636-0018-00L | Data Mining I | W | 6 KP | 3G + 2A | K. M. Borgwardt | |
Kurzbeschreibung | Data Mining, the search for statistical dependencies in large databases, is of utmost important in modern society, in particular in biological and medical research. This course provides an introduction to the key problems, concepts, and algorithms in data mining, and the applications of data mining in computational biology. | |||||
Lernziel | The goal of this course is that the participants gain an understanding of data mining problems and algorithms to solve these problems, in particular in biological and medical applications. | |||||
Inhalt | The goal of the field of data mining is to find patterns and statistical dependencies in large databases, to gain an understanding of the underlying system from which the data were obtained. In computational biology, data mining contributes to the analysis of vast experimental data generated by high-throughput technologies, and thereby enables the generation of new hypotheses. In this course, we will present the algorithmic foundations of data mining and its applications in computational biology. The course will feature an introduction to popular data mining problems and algorithms, reaching from classification via clustering to feature selection. This course is intended for both students who are interested in applying data mining algorithms and students who would like to gain an understanding of the key algorithmic concepts in data mining. Tentative list of topics: 1. Distance functions 2. Classification 3. Clustering 4. Feature Selection | |||||
Skript | Course material will be provided in form of slides. | |||||
Literatur | Will be provided during the course. | |||||
Voraussetzungen / Besonderes | Basic understanding of mathematics, as taught in basic mathematics courses at the Bachelor's level. | |||||
636-0550-00L | Biomolecular Nanotechnology | W | 3 KP | 2V | M. Nash | |
Kurzbeschreibung | ||||||
Lernziel | ||||||
System-Orientierung | ||||||
Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |
636-0103-00L | Microtechnology Attention: This course was offered in previous semesters with the number: 636-0020-00 "Microtechnology and Microelectronics". Students that already passed course 636-0020-00 cannot receive credits for course 636-0103-00. | W | 4 KP | 3G | A. Hierlemann | |
Kurzbeschreibung | Students are introduced to the basics of microtechnology, cleanroom, semiconductor and silicon process technologies. They will get to know the fabrication of mostly silicon-based microdevices and -systems and all related microfabrication processes. | |||||
Lernziel | Students are introduced to the basics of microtechnology, cleanroom, semiconductor and silicon process technologies. They will get to know the different fabrication methods for various microdevices and systems. | |||||
Inhalt | Introduction to microtechnology, semiconductors, and micro electro mechanical systems (MEMS) - Fundamentals of semiconductors and band model - Fundamentals of devices: transistor and diode. - Silicon processing and fabrication steps - Silicon crystal structure and manufacturing - Thermal oxidation - Doping via diffusion and ion implantation - Photolithography - Thin film deposition: dielectrics and metals - Wet etching & bulk micromachining - Dry etching & surface micromachining - Microtechnological processing and fabrication sequence - Optional: Packaging | |||||
Skript | Handouts in English | |||||
Literatur | - S.M. Sze, "Semiconductor Devices, Physics and Technology", 2nd edition, Wiley, 2002 - R.F. Pierret, "Semiconductor Device Fundamentals", Addison Wesley, 1996 - R. C. Jaeger, "Introduction to Microelectronic Fabrication", Prentice Hall 2002 - S.A. Campbell, "The Science and Engineering of Microelectronic Fabrication", 2nd edition, Oxford University Press, 2001 - W. Menz, J. Mohr, O. Paul, "Microsystem Technology", Wiley-VCH, 2001 - G. T. A. Kovacs, "Micromachined Transducers Sourcebook", McGraw-Hill, 1998 - M. J. Madou, "Fundamentals of Microfabrication", 2nd ed., CRC Press, 2002 | |||||
Voraussetzungen / Besonderes | Fundamentals in physics and physicochemistry (orbital models etc.) are required, a repetitorium of fundamental physics and quantum theory at the semester beginning can be offered. The information on the web can be updated until the beginning of the semester. | |||||
636-0104-00L | Nanomachines of the Cell Attention: This course was offered in previous semesters with the number: 626-0010-00L "Nanomachines of the Cell (Part I): Principles". Students that already passed course 626-0010-00 cannot receive credits for course 636-0104-00. | W | 4 KP | 3G | D. J. Müller | |
Kurzbeschreibung | Molecular biotechnology students will combine basic knowledge in molecular cell biology, biochemistry, proteomics, biophysics, bioinformatics, bionanotechnology and engineering to learn how the nanomachines of the cell works and to use this knowledge to address future molecular biotechnological and bionanotechnological questions. Particularly it will be addressed how biomolecular units can be char | |||||
Lernziel | Gain of an interdisciplinary research and development competence, which qualifies for scientific work (master's or doctoral thesis) as well as for work in the research and development department of a biotechnological company. The module is of general use in nano- and biotechnological courses of study focusing modern biomolecular technologies. | |||||
Inhalt | What are nanomachines of the cell? Understanding the cell as a complex factory. Are there engineering principles of the cell and if so what can we learn? Introducing new ways to understand and to apply engineering principles of cellular nanomachines in biotechnology and nanotechnology. Introduction into factors and mechanisms that determine protein folding and stability. Inter- and intramolecular interactions. Understanding the concept of an energy landscape to describe protein folding, stabilization, destabilization, and unfolding. Mechanisms of protein stabilization, destabilization and aggregation in health and disease. Are there methods and ways to prevent protein destabilization and aggregation? Mechanisms of protein destabilization in biomaterials science, bioengineering, and in biotechnological and pharmacological applications. Protein stability in biotechnology. Biophysical methods that allow quantifying protein stability. Methods to prevent protein destabilization in biotechnological applications. Ways to adjust and manipulate the protein stability in biotechnology and medicine. Designing molecular compounds that stabilize specific proteins. Designing molecular compounds that lead to protein destabilization, misfolding and denaturation. Biological and artificial membranes. Principles of membrane assembly, properties, stability and durability. Vesicles as containers for cargo. Engineering vesicles from native and synthetic components. Engineering ultrastable synthetic vesicles. Applying vesicles in biotechnology and medicine. Functionalizing vesicular membranes with proteins. Principles of membrane proteins. Structure and function relationship of membrane proteins. Importance of membrane proteins in pharmacology and biotechnology. Ways to structurally and functionally characterize membrane proteins. Bionanotechnological tools to handle and manipulate single membrane proteins. Membrane proteins as a toolbox to assemble nanoscopic functional vesicles. Designing multifunctional synthetic vesicles: Vesicles for drug delivery, vesicles for active transport, vesicles converting energy, vesicles switching their affinity, function, stability, and other properties. Energy currencies of the cell. Energy conversion. Storable and transient forms of energy. Nature created a variety of light-driven ion pumps. How can we use this pumps, how can we modify them to our purpose? Employing light-driven ion pumps in biotechnology. Employing light-driven proton pumps adsorbing different wavelengths to boost the membrane gradient. How to create a synthetic membrane that allows no diffusion of ions. Transforming a proton into a chloride pump. Tuning the adsorption spectra of a light-driven ion pump. Engineering proton pumps as safety standards for credit cards and ID cards. Engineering proton pumps for holographic devices. Native and artificial light-activated ion channels. Engineering light-activated channels for their use in neuroscience: Optogenetics. ATP synthases convert transient into storable energies. Experimental approaches to explore the nanoscopic rotary machinery of single ATP synthases. Are there ways to engineer and to exchange the building blocks of the ATP synthase? Ways to change to gear of ATP synthases and to 'tune' its fuel consumption. Engineering an artificial vesicular system to convert light into ion gradients to synthesize ATP. Engineering ATP synthases as nanopropellers to move vesicles. Engineering a light-frequency tuned proton pumps to control the speed of nanopropelled vesicles. Engineering light-driven ion pumps to power the synthetic ATP propellers and to steer vesicles. Engineering and employing ATP synthases as molecular mixing devices. Principles of signal transduction. The family of G-protein coupled receptors (GPCRs). Structure and function of GPCRs. Engineering (and other) possibilities to manipulate the functional state of GPCRs. | |||||
Skript | Hand out will be given to students at lecture. | |||||
Literatur | Alberts et al: Molecular Biology of the cell Biochemistry (5th edition), Jeremy M. Berg, John L. Tymoczko, Lubert Stryer; ISBN 0-7167-4684-0, Freeman Principles of Biochemistry, Nelson & Cox; ISBN: 1-57259-153-6, Worth Publishers, New York Cell Biology, Pollard & Earnshaw; ISBN:0-7216-3997-6, Saunder, Pennsylvania Intermolecular & Surface Forces, Israelachvili; ISBN: 0-12-375181-0, Academic Press, London Proteins: Biochemistry and Biotechnolgy, Walsh; ISBN: 0-471-899070, Wiley & Sons, New York Textbook of Biochemistry with Clinical Correlations, Devlin; ISBN: 0-471-411361, Wiley & Sons, New York Molecular Virology, Modrow et al.; ISBN: 3-8274-1086-X, Spektrum Verlag, Heidelberg | |||||
Voraussetzungen / Besonderes | The module is composed of 3 SWS (3 hours/week): 2-hour lecture, 1-hour seminar. For the seminar, students prepare oral presentations on specific in-depth subjects with/under the guidance of the teacher. | |||||
636-0105-00L | Introduction to Biological Computers Attention: This course was offered in previous semesters with the number: 636-0011-00L "Introduction to Biological Computers". Students that already passed course 636-0011-00L cannot receive credits for course 636-0105-00L. | W | 4 KP | 3G | Y. Benenson | |
Kurzbeschreibung | Biological computers are man-made biological networks that interrogate and control cells and organisms in which they operate. Their key features, inspired by computer science, are programmability, modularity, and versatility. The course will show how to rationally design, implement and test biological computers using molecular engineering, DNA nanothechnology and synthetic biology. | |||||
Lernziel | The course has the following objectives: * Familiarize students with parallels between theories in computer science and engineering and information-processing in live cells and organisms * Introduce basic theories of computation * Introduce approaches to creating novel biological computing systems in non-living environment and in living cells including bacteria, yeast and mammalian/human cells. The covered approaches will include - Nucleic acids engineering - DNA and RNA nanotechnology - Synthetic biology and gene circuit engineering - High-throughput genome engineering and gene circuit assembly * Equip the students with computer-aided design (CAD) tools for biocomputing circuit engineering. A number of tutorials will introduce MATLAB SimBiology toolbox for circuit design and simulations * Foster creativity, research and communication skills through semester-long "Design challenge" assignment in the broad field of biological computing and biological circuit engineering. | |||||
Inhalt | Note: the exact subjects can change, the details below should only serve for general orientation Lecture 1. Introduction: what is molecular computation (part I)? * What is computing in general? * What is computing in the biological context (examples from development, chemotaxis and gene regulation) * The difference between natural computing and engineered biocomputing systems Lecture 2: What is molecular computation (part II) + State machines 1st hour * Detailed definition of an engineered biocomputing system * Basics of characterization * Design challenge presentation 2nd hour * Theories of computation: state machines (finite automata and Turing machines) Lecture 3: Additional models of computation * Logic circuits * Analog circuits * RAM machines Basic approaches to computer science notions relevant to molecular computation. (i) State machines; (ii) Boolean networks; (iii) analog computing; (iv) distributed computing. Design Challenge presentation. Lecture 4. Classical DNA computing * Adleman experiment * Maximal clique problem * SAT problem Lecture 5: Molecular State machines through self-assembly * Tiling implementation of state machine * DNA-based tiling system * DNA/RNA origami as a spin-off of self-assembling state machines Lecture 6: Molecular State machines that use DNA-encoded tapes * Early theoretical work * Tape extension system * DNA and enzyme-based finite automata for diagnostic applications Lecture 7: Introduction to cell-based logic and analog circuits * Computing with (bio)chemical reaction networks * Tuning computation with ultrasensitivity and cooperativity * Specific examples Lecture 8: Transcriptional circuits I * Introducing transcription-based circuits * General features and considerations * Guidelines for large circuit construction Lecture 9: Transcriptional circuits II * Large-scale distributed logic circuits in bacteria * Toward large-scale circuits in mammalian cells Lecture 10: RNA circuits I * General principles of RNA-centered circuit design * Riboswitches and sRNA regulation in bacteria * Riboswitches in yeast and mammalian cells * General approach to RNAi-based computing Lecture 11: RNA circuits II * RNAi logic circuits * RNAi-based cell type classifiers * Hybrid transcriptional/posttranscriptional approaches Lecture 12: In vitro DNA-based logic circuits * DNAzyme circuits playing tic-tac-toe against human opponents * DNA brain Lecture 13: Advanced topics * Engineered cellular memory * Counting and sequential logic * The role of evolution * Fail-safe design principles Lecture 14: Design challenge presentation | |||||
Skript | Lecture notes will be available online | |||||
Literatur | As a way of general introduction, the following two review papers could be useful: Benenson, Y. RNA-based computation in live cells. Current Opinion in Biotechnology 2009, 20:471:478 Benenson, Y. Biocomputers: from test tubes to live cells. Molecular Biosystems 2009, 5:675:685 Benenson, Y. Biomolecular computing systems: principles, progress and potential (Review). Nature Reviews Genetics 13, 445-468 (2012). | |||||
Voraussetzungen / Besonderes | Basic knowledge of molecular biology is assumed. | |||||
636-0106-00L | Advanced Imaging Technologies Attention: This course was offered in previous semesters with the number: 636-0014-00L "Imaging in Systems Biology". Students that already passed course 636-0014-00 cannot receive credits for course 636-0106-00. | W | 4 KP | 3G | P. Pantazis | |
Kurzbeschreibung | Imaging in systems biology offers the unique advantage of observing complex biological processes with high spatiotemporal resolution in whole organisms, offering a path to more refined, quantitative dynamic models. The course highlights the recent introduction of advanced imaging tools and automated instrumentation that will enable researchers to apply imaging for both research and analysis. | |||||
Lernziel | The aim of the present teaching activity is to introduce the power of imaging to play a vital role in systems biology with an emphasis on addressing developmental biology processes in various animal models. The participant is expected to appreciate imaging as a particularly valuable tool in the pursuit of dissecting dynamic processes in complex biological systems. | |||||
Inhalt | This lecture course will give an in-depth view into modern microscopy covering emerging imaging techniques (e.g. volumetric imaging), applications of quantitative fluorescence microscopy (e.g. FRAP, FDAP, FCS), and digital image analysis (e.g. image processing, image visualization). The goal is to enable the participant to appreciate the potential of available imaging methodologies to address questions in biology and to interpret experimental imaging data. Given the introduction into model organisms covering fruitfly (Drosophila melanogaster), zebrafish (Danio rerio), and mice (Mus musculus), emphasis will be given to imaging applications in developmental biology processes. | |||||
Skript | Slides of the lecture will be available online. | |||||
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 KP | 3V | M. Fussenegger | |
Kurzbeschreibung | 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. | |||||
Lernziel | 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. | |||||
Inhalt | 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. | |||||
Skript | Handout during the course. | |||||
636-0018-00L | Data Mining I | W | 6 KP | 3G + 2A | K. M. Borgwardt | |
Kurzbeschreibung | Data Mining, the search for statistical dependencies in large databases, is of utmost important in modern society, in particular in biological and medical research. This course provides an introduction to the key problems, concepts, and algorithms in data mining, and the applications of data mining in computational biology. | |||||
Lernziel | The goal of this course is that the participants gain an understanding of data mining problems and algorithms to solve these problems, in particular in biological and medical applications. | |||||
Inhalt | The goal of the field of data mining is to find patterns and statistical dependencies in large databases, to gain an understanding of the underlying system from which the data were obtained. In computational biology, data mining contributes to the analysis of vast experimental data generated by high-throughput technologies, and thereby enables the generation of new hypotheses. In this course, we will present the algorithmic foundations of data mining and its applications in computational biology. The course will feature an introduction to popular data mining problems and algorithms, reaching from classification via clustering to feature selection. This course is intended for both students who are interested in applying data mining algorithms and students who would like to gain an understanding of the key algorithmic concepts in data mining. Tentative list of topics: 1. Distance functions 2. Classification 3. Clustering 4. Feature Selection | |||||
Skript | Course material will be provided in form of slides. | |||||
Literatur | Will be provided during the course. | |||||
Voraussetzungen / Besonderes | Basic understanding of mathematics, as taught in basic mathematics courses at the Bachelor's level. | |||||
Projektarbeiten und Industrie-Praxis Students need to acquire a total of 20 ECTS in this category. Either choose Research Project I (8 ECTS) and Research Project II (12 ECTS) Or choose Research Project I (8 ECTS) and Industry Internship (12 ECTS) | ||||||
Projektarbeiten | ||||||
Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |
636-0802-00L | Research Project I Only for Biotechnology MSc, Programme Regulations 2017. | O | 8 KP | 23A | Professor/innen | |
Kurzbeschreibung | In a research project students extend their knowledge in a particular field, get acquainted with the scientific way of working, and learn to work on an actual research topic. Research projects are carried out in a core or optional subject area as chosen by the student. | |||||
Lernziel | Students get acquainted with scientific working methods and deepen their knowledge in a particular research area |
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