,A unified deep-learning network to accurately segment insulin granules of different animal models i

• 作 者: Xiaoya Zhang Xiaohong Peng Chengsheng Han Wenzhen Zhu Lisi Wei Yulin Zhang Yi Wang Xiuqin Zhang Hao Tang Jianshe Zhang Xiaojun Xu Fengping Feng Yanhong Xue Erlin Yao Guangming Tan Tao Xu Liangyi Chen
• 机 构: State Key Laboratory of Membrane Biology, Beijing Key Laboratory of Cardiometabolic Molecular Medici
• 出 处: 蛋白质与细胞
• 发表日期: 2019年4期

Dear Editor,Insulin is important for body metabolism regulation and glucose homeostasis,and its dysregulation often leads to metabolic syndrome (MS) and diabetes.Insulin is normally stored in large dense-core vesicles (LDCVs) in pancreatic beta cells,and significant reductions in the number,size,gray level and density of insulin granules confer diabetes both in mice (Xue et al.,2012) and humans (Masini et al.,2012).Due to the difficulty of obtaining human islet samples,many works use mice as the animal model.However,the architecture of normal islets in humans differs significantly from that of rodents (Cabrera et al.,2006).Beta cells in the mouse islet core are surrounded by the mantle comprising of alpha and delta cells,whereas alpha,beta and delta cells are intermingled in human islets.