追踪
神经科学
重组酶
计算机科学
脑干
狂犬病病毒
生物
病毒
病毒学
重组
基因
生物化学
操作系统
作者
Pei Sun,Sen Jin,Sijue Tao,Junjun Wang,Anan Li,Ning Li,Yang Wu,Jianxia Kuang,Yurong Liu,Lizhao Wang,Hsuan-Yin Lin,Xiaohua Li,Xiuli Liu,Jundan Peng,Siyu Zhang,Min Xu,Zhen-Ge Luo,Xiaobin He,Tonghui Xu,Xiangning Li,Shaoqun Zeng,Yuhui Zhang,Fuqiang Xu
摘要
ABSTRACT Mapping the detailed cell-type-specific input networks and neuronal projectomes are essential to understand brain function in normal and pathological states. However, several properties of current tracing systems, including labeling sensitivity, trans-synaptic efficiencies, reproducibility among different individuals and different Cre-driver animals, still remained unsatisfactory. Here, we developed MAP-ENVIVIDERS, a recombinase system-dependent vector mixing-based strategy for highly efficient neurocircuit tracing. MAP-ENVIVIDERS enhanced tracing efficiency of input networks across the whole brain, with over 10-fold improvement in diverse previously poor-labeled input brain regions and particularly, up to 70-fold enhancement in brainstem compared with the current standard rabies-virus-mediated systems. MAP-ENVIVIDERS was over 10-fold more sensitive for cell-type-specific labeling than previous strategies, enabling us to capture individual cell-type-specific neurons with extremely complex axonal branches and presynaptic axonal boutons, both about one order of magnitude than previously reported and considered. MAP-ENVIVIDERS provides powerful tools for deconstructing novel input/output circuitry towards functional studies and disorders-related mechanisms.
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