研究目的
To assess the response of pancreatic islet cells to glucose stimulation and understand β-cell function in zebrafish, focusing on intracellular Ca2+ dynamics as a key step in glucose-induced insulin secretion.
研究成果
The study demonstrates that zebrafish β-cells are glucose-responsive early in development and that CaV1.2 plays a central role in β-cell stimulus-secretion coupling. The novel in vivo imaging approach provides a valuable tool for studying β-cell physiology in health and disease.
研究不足
The study is limited by the inability to achieve single-cell resolution in vivo due to tissue depth and movement. The mechanisms underlying synchronized β-cell responses to intravenous glucose remain speculative. Differences in glucose metabolism between zebrafish and mammals may affect the translatability of findings.
1:Experimental Design and Method Selection
Transgenic zebrafish embryos expressing a genetically-encoded Ca2+ sensor (GCaMP6s) in pancreatic β-cells were used to monitor intracellular [Ca2+]i dynamics in response to glucose and other nutrients. Both in vivo and ex vivo analyses were conducted.
2:Sample Selection and Data Sources
Zebrafish embryos at different developmental stages (3, 4, and 5 days post fertilization) were used. Islets were isolated from 5 dpf larvae for ex vivo experiments.
3:List of Experimental Equipment and Materials
Leica DM6000B microscope, Zeiss Cell Observer SD spinning disc microscope, micromanipulator for intravenous injections, perfusion system for ex vivo experiments, glucose, L-glutamine, palmitic acid, KCl, and other reagents for stimulating β-cells.
4:Experimental Procedures and Operational Workflow
Embryos were anesthetized and immobilized for in vivo imaging. Glucose was administered via different routes (intravenous, yolk, pericardium, hindbrain ventricle). Isolated islets were perfused with various nutrients to assess [Ca2+]i responses. Fluorescence imaging was used to monitor Ca2+ dynamics.
5:Data Analysis Methods
Image analysis was performed using ImageJ/Fiji for fluorescence intensity measurements. Cross-correlation analysis and peak identification were done using MATLAB. Statistical analyses were conducted using GraphPad Prism.
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