551-0338-00L Current Approaches in Single Cell Analysis (University of Zurich)
| Semester | Frühjahrssemester 2021 |
| Dozierende | B. Bodenmiller, Uni-Dozierende |
| Periodizität | jährlich wiederkehrende Veranstaltung |
| Lehrsprache | Englisch |
| Kommentar | Der Kurs muss direkt an der UZH belegt werden. UZH Modulkürzel: BME327 Beachten Sie die Einschreibungstermine an der UZH: https://www.uzh.ch/cmsssl/de/studies/application/deadlines.html |
Lehrveranstaltungen
| Nummer | Titel | Umfang | Dozierende | ||||
|---|---|---|---|---|---|---|---|
| 551-0338-00 V | Current Approaches in Single Cell Analysis (University of Zurich) **together with University of Zurich** | 2 Std. |
| B. Bodenmiller, Uni-Dozierende |
Katalogdaten
| Kurzbeschreibung | In this lecture, we will discuss the most important single cell approaches, the questions they can address and current developments. We will cover single cell: genomics, transcriptomics, proteomics (CyTOF mass cytometry), metabolomics and highly multiplexed imaging. Finally, we will also discuss the latest approaches for the analysis of such generated highly multiplexed single cell data. |
| Lernziel | On completion of this module the students should be able to: - explain the basic principles of single cell analysis techniques - identify and justify the limitations of the current single cell technologies and suggest reasonable improvements - know the basic challenges in data analysis imposed by the complex multi parameter data. Key skills: On completion of this module the students should be able to: - summarize and discuss the impact these technologies have on biology and medicine - design biological and biomedical experiments for which single cell analysis is essential |
| Inhalt | Currently single cell analysis approaches revolutionize the way we study and understand biological systems. In all biological and biomedical settings, cell populations and tissues are highly heterogeneous; this heterogeneity plays a critical role in basic biological processes such as cell cycle, development and organismic function, but is also a major player in disease, e.g. for cancer development, diagnosis and treatment. Currently, single cell analysis techniques are rapidly developing and find broad application, as the single cell measurements not only enable to study cell specific functions, but often reveal unexpected biological mechanisms in so far (assumed) well understood biological processes. In this lecture, we will discuss the most important single cell approaches, the questions they can address and current developments. We will cover single cell genomics, single cell transcriptomics, single cell proteomics (CyTOF mass cytometry), single cell metabolomics and highly multiplexed single cell imaging. Finally, we will also discuss the latest approaches for the analysis of such generated highly multiplexed single cell data. |
Leistungskontrolle
| Information zur Leistungskontrolle (gültig bis die Lerneinheit neu gelesen wird) | |
Leistungskontrolle als Semesterkurs | |
| ECTS Kreditpunkte | 2 KP |
| Prüfende | B. Bodenmiller |
| Form | benotete Semesterleistung |
| Prüfungssprache | Englisch |
| Repetition | Repetition nur nach erneuter Belegung der Lerneinheit möglich. |
| Zusatzinformation zum Prüfungsmodus | Registration modalities, date and venue of this performance assessment are specified solely by the UZH. |
Lernmaterialien
| Keine öffentlichen Lernmaterialien verfügbar. | |
| Es werden nur die öffentlichen Lernmaterialien aufgeführt. |
Gruppen
| Keine Informationen zu Gruppen vorhanden. |
Einschränkungen
| Keine zusätzlichen Belegungseinschränkungen vorhanden. |
Angeboten in
| Studiengang | Bereich | Typ | |
|---|---|---|---|
| Biologie Master | Wahlpflicht Masterkurse | W |  |
| Biologie Master | Wahlpflicht Masterkurse | W | |
| Biologie Master | Wahlpflicht Masterkurse | W | |
| Computational Biology and Bioinformatics Master | Biologie | W | |