five

Supplementary Material for: Fluorescence Imaging of Intracellular Calcium Signals in Intact Kidney Tissue

收藏
Figshare2017-10-04 更新2026-04-29 收录
下载链接:
https://figshare.com/articles/dataset/Supplementary_Material_for_Fluorescence_Imaging_of_Intracellular_Calcium_Signals_in_Intact_Kidney_Tissue/5468665
下载链接
链接失效反馈
官方服务:
资源简介:
Background: Intracellular calcium (Ca2+) plays an important role in normal renal physiology and in the pathogenesis of various kidney diseases; however, the study of Ca2+ signals in intact tissue has been limited by technical difficulties, including achieving adequate loading of Ca2+-sensitive fluorescent dyes. The kidney slice preparation represents a model whereby three-dimensional tissue architecture is preserved and structures in both the cortex and medulla can be imaged using confocal or multiphoton microscopy. Methods: Ca2+-sensitive dyes Rhod-2, Fura-red and Fluo-4 were loaded into tubular and vascular cells in rat kidney slices using a re-circulating perfusion system and real-time imaging of Ca2+ signals was recorded by confocal microscopy. Kidney slices were also obtained from transgenic mice expressing the GCaMP2 Ca2+-sensor in their endothelial cells and real time Ca2+ transients stimulated by physiological stimuli. Results: Wide spread loading of Ca2+ indicators was achieved in the tubular and vascular structures of both the medulla and cortex. Real time Ca2+ signals were successfully recorded in different intracellular compartments of both rat and mouse cortical and medullary tubules in response to physiological stimuli (ATP and angiotensin II). Glomerular Ca2+ transients were similarly recorded in kidney slices taken from the transgenic mouse expressing the GCaMP2 Ca2+-sensor. Conclusion: We present new approaches that can be adopted to image cytosolic and mitochondrial Ca2+ signals within various cell types in intact kidney tissue. Moreover, techniques described in this study can be used to facilitate future detailed investigations of intracellular Ca2+ homeostasis in renal health and disease.
创建时间:
2017-10-04
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作