Verstraelen Peter, Garcia-Diaz Barriga Gerardo, Verschuuren Marlies, Asselbergh Bob, Nuydens Rony, Larsen Peter H, Timmermans Jean-Pierre, De Vos Winnok H
Laboratory of Cell Biology and Histology, University of Antwerp, Wilrijk, Antwerp 2610, Belgium.
VIB Center for Molecular Neurology, University of Antwerp, Wilrijk, Antwerp 2610, Belgium.
iScience. 2020 Sep 7;23(9):101542. doi: 10.1016/j.isci.2020.101542. eCollection 2020 Sep 25.
Most neurological disorders display impaired synaptic connectivity. Hence, modulation of synapse formation may have therapeutic relevance. However, the high density and small size of synapses complicate their quantification. To improve synapse-oriented screens, we analyzed the labeling performance of synapse-targeting antibodies on neuronal cell cultures using segmentation-independent image analysis based on sliding window correlation. When assessing pairwise colocalization, a common readout for mature synapses, overlap was incomplete and confounded by spurious signals. To circumvent this, we implemented a proximity ligation-based approach that only leads to a signal when two markers are sufficiently close. We applied this approach to different marker combinations and demonstrate its utility for detecting synapse density changes in healthy and compromised cultures. Thus, segmentation-independent analysis and exploitation of resident protein proximity increases the sensitivity of synapse quantifications in neuronal cultures and represents a valuable extension to the analytical toolset for synapse screens.
大多数神经疾病都表现出突触连接受损。因此,调节突触形成可能具有治疗意义。然而,突触的高密度和小尺寸使其定量分析变得复杂。为了改进以突触为导向的筛选,我们使用基于滑动窗口相关性的非分割图像分析,分析了突触靶向抗体在神经元细胞培养物上的标记性能。在评估成对共定位(成熟突触的常见读数)时,重叠并不完全,且被伪信号混淆。为了规避这一问题,我们实施了一种基于邻近连接的方法,该方法只有在两个标记足够接近时才会产生信号。我们将这种方法应用于不同的标记组合,并证明了其在检测健康和受损培养物中突触密度变化方面的效用。因此,非分割分析和利用驻留蛋白的邻近性提高了神经元培养物中突触定量的灵敏度,代表了突触筛选分析工具集的有价值扩展。