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使用亚突触靶向的GCaMP8变体解析突触事件。

Resolving synaptic events using subsynaptically targeted GCaMP8 variants.

作者信息

Chen Jiawen, Lin Junhao, He Kaikai, Wang Luyi, Han Yifu, Qiu Chengjie, Dickman Dion

机构信息

University of Southern California, Department of Neurobiology, Los Angeles, CA USA.

USC Neuroscience Graduate Program.

出版信息

bioRxiv. 2025 Jun 19:2025.06.19.660577. doi: 10.1101/2025.06.19.660577.

DOI:10.1101/2025.06.19.660577
PMID:40611906
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12224541/
Abstract

While genetically encoded Ca indicators are valuable for visualizing neural activity, their speed and sensitivity have had limited performance when compared to chemical dyes and electrophysiology, particularly at synaptic compartments. We addressed these limitations by engineering a suite of next-generation GCaMP8-based indicators, targeted to presynaptic boutons, active zones, and postsynaptic compartments at the Drosophila neuromuscular junction. We first validated these sensors to be superior to previous versions. Next, we developed a new Python-based analysis program, which enables the automated quantification of evoked and spontaneous Ca signals. Using we show a ratiometric presynaptic GCaMP8m sensor accurately captures physiologically-relevant presynaptic Ca changes with superior sensitivity and similar kinetics compared to chemical dyes. Moreover, we test the ability of an active zone-targeted, ratiometric GCaMP8f sensor to report differences in Ca2+ between release sites. Finally, a newly engineered postsynaptic GCaMP8m, positioned near glutamate receptors, detects quantal events with temporal and signal resolution comparable to electrophysiological recordings. These next generation indicators and analytical methods demonstrate that GCaMP8 sensors, targeted to synaptic compartments, can now achieve the speed and sensitivity necessary to resolve Ca dynamics at levels previously only attainable with chemical dyes or electrophysiology.

摘要

虽然基因编码的钙指示剂对于可视化神经活动很有价值,但与化学染料和电生理相比,它们的速度和灵敏度表现有限,尤其是在突触部位。我们通过设计一套基于下一代GCaMP8的指示剂来解决这些局限性,这些指示剂靶向果蝇神经肌肉接头处的突触前轴突终末、活性区和突触后部位。我们首先验证这些传感器优于以前的版本。接下来,我们开发了一个新的基于Python的分析程序,该程序能够自动定量诱发和自发的钙信号。使用该程序,我们展示了一种比率型突触前GCaMP8m传感器能够以与化学染料相比更高的灵敏度和相似的动力学准确捕获生理相关的突触前钙变化。此外,我们测试了一种靶向活性区的比率型GCaMP8f传感器报告释放位点之间钙差异的能力。最后,一种新设计的位于谷氨酸受体附近的突触后GCaMP8m,其检测量子事件的时间和信号分辨率与电生理记录相当。这些下一代指示剂和分析方法表明,靶向突触部位的GCaMP8传感器现在可以实现以前只有化学染料或电生理才能达到的水平来解析钙动力学所需的速度和灵敏度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c8c/12224541/0fa847409c15/nihpp-2025.06.19.660577v1-f0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c8c/12224541/ea5d4ee1c0cc/nihpp-2025.06.19.660577v1-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c8c/12224541/78e69c8c180b/nihpp-2025.06.19.660577v1-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c8c/12224541/0667749f49f3/nihpp-2025.06.19.660577v1-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c8c/12224541/b9c9266183df/nihpp-2025.06.19.660577v1-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c8c/12224541/223c30d103c9/nihpp-2025.06.19.660577v1-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c8c/12224541/c2da79aa0146/nihpp-2025.06.19.660577v1-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c8c/12224541/0fa847409c15/nihpp-2025.06.19.660577v1-f0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c8c/12224541/ea5d4ee1c0cc/nihpp-2025.06.19.660577v1-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c8c/12224541/78e69c8c180b/nihpp-2025.06.19.660577v1-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c8c/12224541/0667749f49f3/nihpp-2025.06.19.660577v1-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c8c/12224541/b9c9266183df/nihpp-2025.06.19.660577v1-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c8c/12224541/223c30d103c9/nihpp-2025.06.19.660577v1-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c8c/12224541/c2da79aa0146/nihpp-2025.06.19.660577v1-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c8c/12224541/0fa847409c15/nihpp-2025.06.19.660577v1-f0007.jpg

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本文引用的文献

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