Benbenishty Amit, Peled-Hajaj Shany, Krishnaswamy Venkat Raghavan, Har-Gil Hagai, Havusha-Laufer Sapir, Ruggiero Antonella, Slutsky Inna, Blinder Pablo, Sagi Irit
The Weizmann Institute of Science, Department of Immunology and Regenerative Biology, Rehovot, Israel.
Tel Aviv University, Neurobiology, Biochemistry, and Biophysics School, Tel Aviv, Israel.
Neurophotonics. 2023 Jan;10(1):015008. doi: 10.1117/1.NPh.10.1.015008. Epub 2023 Mar 24.
Perineuronal nets (PNNs) are extracellular matrix structures implicated in learning, memory, information processing, synaptic plasticity, and neuroprotection. However, our understanding of mechanisms governing the evidently important contribution of PNNs to central nervous system function is lacking. A primary cause for this gap of knowledge is the absence of direct experimental tools to study their role .
We introduce a robust approach for quantitative longitudinal imaging of PNNs in brains of awake mice at subcellular resolution.
We label PNNs with commercially available compounds and monitor their dynamics with two-photon imaging.
Using our approach, we show that it is possible to longitudinally follow the same PNNs while monitoring degradation and reconstitution of PNNs. We demonstrate the compatibility of our method to simultaneously monitor neuronal calcium dynamics and compare the activity of neurons with and without PNNs.
Our approach is tailored for studying the intricate role of PNNs , while paving the road for elucidating their role in different neuropathological conditions.
神经周网(PNNs)是细胞外基质结构,与学习、记忆、信息处理、突触可塑性和神经保护有关。然而,我们对神经周网对中枢神经系统功能做出明显重要贡献的调控机制缺乏了解。造成这一知识空白的主要原因是缺乏直接的实验工具来研究它们的作用。
我们引入了一种强大的方法,用于在亚细胞分辨率下对清醒小鼠大脑中的神经周网进行定量纵向成像。
我们用市售化合物标记神经周网,并通过双光子成像监测它们的动态变化。
使用我们的方法,我们表明在监测神经周网的降解和重建的同时纵向跟踪相同的神经周网是可能的。我们证明了我们的方法与同时监测神经元钙动力学的兼容性,并比较了有和没有神经周网的神经元的活性。
我们的方法专为研究神经周网的复杂作用而设计,同时为阐明它们在不同神经病理状况中的作用铺平了道路。