The cardiac conduction system is vital for the initiation and maintenance of the heartbeat. Over the recent years, the zebrafish (Danio rerio) has emerged as a promising model organism to study this specialized system. The embryonic zebrafish heart’s unique accessibility for light microscopy has put it in the focus of many cardiac researchers.
However, imaging cardiac conduction in vivo remained a challenge. Typically, hearts had to be removed from the animal to make them accessible for fluorescent dyes and electrophysiology. Furthermore, no technique provided enough spatial and temporal resolution to study the importance of individual cells in the myocardial network.
With the advent of light sheet microscopy, better camera technology, new fluorescent reporters and advanced image analysis tools, all-optical in vivo mapping of cardiac conduction is now within reach. In the course of this thesis, I developed new methods to image and manipulate cardiac conduction in 4D with cellular resolution in the unperturbed zebrafish heart.
Using my newly developed methods, I could detect the first calcium sparks and reveal the onset of cardiac automaticity in the early heart tube. Furthermore, I could visualize the 4D cardiac conduction pattern in the embryonic heart and use it to study component-specific calcium transients. In addition, I could test the robustness of embryonic cardiac conduction under aggravated conditions, and found new evidence for the presence of an early ventricular pacemaker system. My results lay the foundation for novel, non-invasive in vivo studies of cardiac function and performance.
Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa.de:bsz:14-qucosa-166647 |
Date | 19 May 2015 |
Creators | Weber, Michael |
Contributors | Technische Universität Dresden, Fakultät Mathematik und Naturwissenschaften, Dr. Jan Huisken, Prof. Dr. Jochen Guck, Prof. Dr. Stefan Dhein |
Publisher | Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden |
Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
Language | English |
Detected Language | English |
Type | doc-type:doctoralThesis |
Format | application/pdf |
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