Kilimnik German, Kim Abraham, Jo Junghyo, Miller Kevin, Hara Manami
Department of Medicine, The University of Chicago, Chicago, Illinois 60637, USA.
Am J Physiol Endocrinol Metab. 2009 Dec;297(6):E1331-8. doi: 10.1152/ajpendo.00479.2009. Epub 2009 Oct 6.
Tracing changes of specific cell populations in health and disease is an important goal of biomedical research. Precisely monitoring pancreatic beta-cell proliferation and islet growth is a challenging area of research. We have developed a method to capture the distribution of beta-cells in the intact pancreas of transgenic mice with fluorescence-tagged beta-cells with a macro written for ImageJ (rsb.info.nih.gov/ij/). Total beta-cell area and islet number and size distribution are quantified with reference to specific parameters and location for each islet and for small clusters of beta-cells. The entire distribution of islets can now be plotted in three dimensions, and the information from the distribution on the size and shape of each islet allows a quantitative and a qualitative comparison of changes in overall beta-cell area at a glance.
追踪健康和疾病状态下特定细胞群的变化是生物医学研究的一个重要目标。精确监测胰腺β细胞增殖和胰岛生长是一个具有挑战性的研究领域。我们开发了一种方法,使用为ImageJ(rsb.info.nih.gov/ij/)编写的宏,捕获荧光标记β细胞的转基因小鼠完整胰腺中β细胞的分布。总β细胞面积、胰岛数量以及大小分布是参照每个胰岛和小β细胞簇的特定参数和位置进行量化的。现在可以在三维空间中绘制胰岛的整体分布,并且每个胰岛大小和形状分布的信息使得能够一眼对总β细胞面积的变化进行定量和定性比较。