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CHLOK:一种用于可视化神经元出生日期和回路整合的化学遗传多色标记系统。

CHLOK: a chemigenetic multicolor labeling system to visualize neuronal birthdate and circuit integration.

作者信息

Faini Giulia, Tuffery Matthieu, Saleem Amna, Zhang Lixia, Du Felix, Le Bourdelles Guillaume, Duroure Karine, Schreiter Eric, Tanese Dimitrii, Emiliani Valentina, Del Bene Filippo, Koyama Minoru

机构信息

Institut de la Vision, Sorbonne Univ., Inserm S968, CNRS UMR7210, Paris, France.

Department of Biological Sciences, University of Toronto Scarborough, Toronto, Canada.

出版信息

Res Sq. 2025 Jul 8:rs.3.rs-7039578. doi: 10.21203/rs.3.rs-7039578/v1.

Abstract

Understanding how neurons integrate into developing circuits and contribute to functional activity is essential for decoding brain development and plasticity. However, current methods to study neuronal integration often suffer from low throughput, limited spatiotemporal resolution, or invasive procedures that hinder functional analysis. To overcome these challenges, we present a birthdate-labeling strategy, named CHLOK, based on HaloTag technology and a broad palette of fluorescent synthetic dyes. This approach enables precise multicolor labeling of neurons according to their maturation stage and allows flexible integration into functional assays through compatibility with calcium imaging and optogenetics. We validated CHLOK by mapping birthdate-resolved neuronal activity in the developing visual and motor systems of zebrafish larvae. Our results reveal distinct functional contributions of early- versus late-born neurons, providing new insights into the temporal dynamics of circuit formation. Furthermore, we demonstrate the versatility of this approach, showcasing age-specific multicolor calcium and voltage imaging as well as optogenetic manipulation. By overcoming key limitations of existing techniques, CHLOK offers a powerful, versatile and non-invasive tool for studying neural integration, circuit development and function .

摘要

了解神经元如何整合到发育中的神经回路并对功能活动做出贡献,对于解读大脑发育和可塑性至关重要。然而,目前研究神经元整合的方法往往存在通量低、时空分辨率有限或操作侵入性强等问题,这些都阻碍了功能分析。为了克服这些挑战,我们提出了一种基于HaloTag技术和多种荧光合成染料的出生日期标记策略,名为CHLOK。这种方法能够根据神经元的成熟阶段进行精确的多色标记,并通过与钙成像和光遗传学的兼容性灵活地整合到功能测定中。我们通过绘制斑马鱼幼体发育中的视觉和运动系统中按出生日期解析的神经元活动,验证了CHLOK。我们的结果揭示了早出生和晚出生神经元不同的功能贡献,为神经回路形成的时间动态提供了新的见解。此外,我们展示了这种方法的多功能性,展示了特定年龄的多色钙成像和电压成像以及光遗传学操作。通过克服现有技术的关键局限性,CHLOK为研究神经整合、神经回路发育和功能提供了一种强大、多功能且非侵入性的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7e9/12265168/96cd167ea8b8/nihpp-rs7039578v1-f0002.jpg

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