Barbara Treutlein: Katalogdaten im Herbstsemester 2023

Auszeichnung: Die Goldene Eule
NameFrau Prof. Dr. Barbara Treutlein
LehrgebietQuantitative Entwicklungsbiologie
Adresse
Professur Quantitative Entw.biol.
ETH Zürich, BSS H 6.2
Klingelbergstrasse 48
4056 Basel
SWITZERLAND
Telefon+41 61 387 40 43
E-Mailbarbara.treutlein@bsse.ethz.ch
DepartementBiosysteme
BeziehungOrdentliche Professorin

NummerTitelECTSUmfangDozierende
262-0945-AALCell and Molecular Biology for Engineers I and II
Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement.

Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit.
6 KP13RB. Treutlein
KurzbeschreibungThe course gives an introduction into cellular and molecular biology, specifically for students with a background in engineering. The focus will be on the basic organization of eukaryotic cells, molecular mechanisms and cellular functions. Textbook knowledge will be combined with results from recent research and technological innovations in biology.
LernzielAfter completing this course, engineering students will be able to apply their previous training in the quantitative and physical sciences to modern biology. Students will also learn the principles how biological models are established, and how these models can be tested.
InhaltLectures will include the following topics: DNA, chromosomes, RNA, protein, genetics, gene expression, membrane structure and function, vesicular traffic, cellular communication, energy conversion, cytoskeleton, cell cycle, cellular growth, apoptosis, autophagy, cancer, development and stem cells.
Literatur"Molecular Biology of the Cell" (6th edition) by Alberts, Johnson, Lewis, Morgan, Raff, Roberts, and Walter.
636-0101-00LSystems Genomics4 KP3GB. Treutlein, C. Beisel, Z. He
KurzbeschreibungThis course is an introduction to the wide field of Genomics. It addresses how fundamental questions in biological systems are studied using methods in genomics and how the resulting data is analysed to make quantitative interpretations of biological phenomena.
LernzielThe goal of this course is to get detailed insights in how state-of-the-art DNA sequencing technologies can be applied for a qualitative and quantitative description of molecular and cellular processes and function. Students will learn how to analyse RNA-seq / transcriptomics data and make biological interpretations in a quantitative manner.
InhaltThis course will be a mix of lecture sessions, hands-on computational data analysis using public datasets and seminars discussing own results in the context of the published studies. In the lectures we will introduce current Next-Generation Sequencing technologies and their application to address basically all facets of modern biology and biomedical research. We will cover the major sample processing methods used for investigating functional genomic aspects like transcriptome and chromatin profiling, review recent advances in (cancer) genome sequencing and give an overview of public big data sequencing projects (ENCODE, GTEX, TCGA, ...).
For the computational data analysis we will focus on differential gene expression profiling (RNA-seq) experiments that have been selected from fascinating published biological studies. Data analysis based on R will follow a detailed tutorial describing all required steps of sequence read processing and will be conducted in small groups to enable every student hands-on experience.
SkriptThe PowerPoint presentations of the lectures as well as other course material relevant for an active participation will be made available online.
636-0102-10LAdvanced Bioengineering
Only for Biotechnologie Master, Programme Regulations 2021 or doctoral students of D-BSSE.
2 KP3SS. Panke, Y. Benenson, P. S. Dittrich, M. Fussenegger, A. Hierlemann, A. Moor, M. Nash, R. Platt, S. Reddy, T. Schroeder, J. Stelling, B. Treutlein
KurzbeschreibungThis 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
LernzielStudents 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.
InhaltMolecular 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.
SkriptHandouts during class
LiteraturWill be announced during the course
KompetenzenKompetenzen
Fachspezifische KompetenzenKonzepte und Theoriengeprüft
Verfahren und Technologiengeprüft
Persönliche KompetenzenKritisches Denkengeprüft