Increase in Subcellular GSK-3 Clusters in Insulin- and Adrenaline-treated Differentiated Rat Skeletal Muscle Fibres

IF 0.8 4区 计算机科学 Q4 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY Image Analysis & Stereology Pub Date : 2020-04-13 DOI:10.5566/ias.2356
Katja Fink, M. Prebil, N. Vardjan, Jørgen Jensen, R. Zorec, M. Kreft
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引用次数: 1

Abstract

Glycogen synthase kinase 3 (GSK-3) plays an important role in metabolic regulation in skeletal muscles, and both insulin and adrenaline stimulate GSK-3 phosphorylation. The aim of the present study was to study the effect of insulin and adrenaline on GSK-3 localisation in skeletal muscles. We characterized subcellular localization of (GSK-3) signal protein in fully differentiated muscle fibre by immunofluorescence and confocal microscopy. We stimulated muscle fibres with insulin and/or adrenaline. Images were analysed by segmentation of single central optical section of the muscle. We found GSK-3 to be localised in clusters. The number of GSK-3 clusters and their average size were increased after stimulation with insulin and/or adrenaline. Average GSK-3 particle size is linearly related to their quantity. We conclude that subcellular GSK-3 in isolated skeletal muscle fibres is localized in clusters and clustering increased after stimulation with insulin and/or adrenaline.
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胰岛素和肾上腺素处理的分化大鼠骨骼肌纤维中亚细胞GSK-3簇的增加
糖原合成酶激酶3 (Glycogen synthase kinase 3, GSK-3)在骨骼肌代谢调节中起重要作用,胰岛素和肾上腺素均可刺激GSK-3磷酸化。本研究的目的是研究胰岛素和肾上腺素对骨骼肌GSK-3定位的影响。我们利用免疫荧光和共聚焦显微镜研究了(GSK-3)信号蛋白在完全分化肌纤维中的亚细胞定位。我们用胰岛素和/或肾上腺素刺激肌纤维。通过分割单个肌肉中央光学切片对图像进行分析。我们发现GSK-3集中在集群中。胰岛素和/或肾上腺素刺激后,GSK-3簇的数量和平均大小增加。GSK-3的平均粒径与其数量呈线性相关。我们的结论是,分离的骨骼肌纤维中的亚细胞GSK-3定位于簇状结构,在胰岛素和/或肾上腺素刺激后簇状结构增加。
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来源期刊
Image Analysis & Stereology
Image Analysis & Stereology MATERIALS SCIENCE, MULTIDISCIPLINARY-MATHEMATICS, APPLIED
CiteScore
2.00
自引率
0.00%
发文量
7
审稿时长
>12 weeks
期刊介绍: Image Analysis and Stereology is the official journal of the International Society for Stereology & Image Analysis. It promotes the exchange of scientific, technical, organizational and other information on the quantitative analysis of data having a geometrical structure, including stereology, differential geometry, image analysis, image processing, mathematical morphology, stochastic geometry, statistics, pattern recognition, and related topics. The fields of application are not restricted and range from biomedicine, materials sciences and physics to geology and geography.
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