Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo 113-0033, Japan; Department of Pharmacology, Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai, Miyagi 980-8578, Japan.
Department of Pharmacology, Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai, Miyagi 980-8578, Japan; Department of Neuropharmacology, Graduate School of Medicine, Tohoku University, Sendai, Miyagi 980-8575, Japan.
J Neurosci Methods. 2024 Dec;412:110298. doi: 10.1016/j.jneumeth.2024.110298. Epub 2024 Oct 2.
Detection of synaptic connections is essential for understanding neural circuits. By using optogenetics, current injection, and glutamate uncaging to activate presynaptic cells and simultaneously recording the subsequent response of postsynaptic cells, the presence of synaptic connections can be confirmed. However, these methods present throughput challenges, such as the need for simultaneous multicellular patch-clamp recording and two-photon microscopy. These challenges lead to a trade-off between sacrificing resolution and experimental throughput.
We adopted the laser, typically used for local field ablation, and combined this with post hoc analysis. We successfully approximated the synaptic connection probabilities using only an epi-fluorescence microscope and single-cell recordings.
We sequentially stimulated the channelrhodopsin 2-expressing cells surrounding the recorded cell and approximated the synaptic connection probabilities. This probability value was comparable to that obtained from simultaneous multi-cell patch-clamp recordings, which included more than 600 pairs.
Our setup allows us to estimate connection probabilities within 100 s, outperforming existing methods. We successfully estimated synaptic connection probabilities using only the optical path typically used by an epi-fluorescence microscope and single-cell recordings. It may also be suitable for dendritic ablation experiments.
The proposed method simplifies the estimation of connection probabilities, which is expected to advance the study of neural circuits in conditions such as autism and schizophrenia where connection probabilities vary. Furthermore, this approach is applicable not only to local circuits but also to long-range connections, thus increasing experimental throughput.
检测突触连接对于理解神经回路至关重要。通过使用光遗传学、电流注入和谷氨酸解笼,激活突触前细胞并同时记录随后的突触后细胞反应,可以确认突触连接的存在。然而,这些方法存在通量挑战,例如需要同时进行多细胞膜片钳记录和双光子显微镜记录。这些挑战导致分辨率和实验通量之间需要做出权衡。
我们采用了通常用于局部场消融的激光,并将其与事后分析相结合。我们仅使用荧光显微镜和单细胞记录成功地近似了突触连接概率。
我们依次刺激记录细胞周围表达通道视紫红质 2 的细胞,并近似了突触连接概率。该概率值与同时进行的多细胞膜片钳记录(包括超过 600 对)获得的值相当。
我们的设置允许我们在 100 秒内估计连接概率,优于现有方法。我们仅使用荧光显微镜和单细胞记录通常使用的光路成功地估计了突触连接概率。它也可能适用于树突消融实验。
该方法简化了连接概率的估计,有望推进自闭症和精神分裂症等情况下神经回路的研究,这些情况下连接概率会发生变化。此外,这种方法不仅适用于局部回路,也适用于长程连接,从而提高了实验通量。