Department of Physics, University at Albany, Albany, NY, USA.
Department of Biological Sciences, University at Albany, Albany, NY, USA.
Chem Senses. 2021 Jan 1;46. doi: 10.1093/chemse/bjab039.
Glomeruli are neuropil-rich regions of the main or accessory olfactory bulbs (AOB) where the axons of olfactory or vomeronasal neurons and dendrites of mitral/tufted cells form synaptic connections. In the main olfactory system, olfactory sensory neurons (OSNs) expressing the same receptor innervate 1 or 2 glomeruli. However, in the accessory olfactory system, vomeronasal sensory neurons (VSNs) expressing the same receptor can innervate up to 30 different glomeruli in the AOB. Genetic mutation disrupting genes with a role in defining the identity/diversity of olfactory and vomeronasal neurons can alter the number and size of glomeruli. Interestingly, 2 cell surface molecules, Kirrel2 and Kirrel3, have been indicated as playing a critical role in the organization of axons into glomeruli in the AOB. Being able to quantify differences in glomeruli features, such as number, size, or immunoreactivity for specific markers, is an important experimental approach to validate the role of specific genes in controlling neuronal connectivity and circuit formation in either control or mutant animals. Since the manual recognition and quantification of glomeruli on digital images is a challenging and time-consuming task, we generated a program in Python able to identify glomeruli in digital images and quantify their properties, such as size, number, and pixel intensity. Validation of our program indicates that our script is a fast and suitable tool for high-throughput quantification of glomerular features of mouse lines with different genetic makeup.
肾小球是嗅球(主嗅球或辅助嗅球)中富含神经突的区域,在这里,嗅神经元或犁鼻神经元的轴突和僧帽细胞的树突形成突触连接。在主嗅觉系统中,表达相同受体的嗅觉感觉神经元(OSN)支配 1 或 2 个肾小球。然而,在副嗅觉系统中,表达相同受体的犁鼻感觉神经元(VSN)可以支配辅助嗅球中多达 30 个不同的肾小球。破坏对嗅觉和犁鼻神经元的身份/多样性具有定义作用的基因的基因突变,会改变肾小球的数量和大小。有趣的是,2 种细胞表面分子 Kirrel2 和 Kirrel3 被表明在 AOB 中的轴突形成肾小球的组织中起着关键作用。能够量化肾小球特征(例如数量、大小或特定标记的免疫反应性)的差异,是验证特定基因在控制神经元连接和电路形成方面的作用的重要实验方法,无论是在对照动物还是突变动物中。由于手动识别和量化数字图像中的肾小球是一项具有挑战性和耗时的任务,因此我们使用 Python 生成了一个程序,该程序能够识别数字图像中的肾小球并量化其属性,例如大小、数量和像素强度。我们的程序的验证表明,我们的脚本是一种快速且适合于具有不同遗传构成的小鼠品系的肾小球特征的高通量量化的工具。