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利用轴突 BARseq 对空间分辨的单个神经元投射进行大规模多重编码。

Massive multiplexing of spatially resolved single neuron projections with axonal BARseq.

机构信息

Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA.

Allen Institute for Brain Science, Seattle, WA, USA.

出版信息

Nat Commun. 2024 Sep 27;15(1):8371. doi: 10.1038/s41467-024-52756-x.

DOI:10.1038/s41467-024-52756-x
PMID:39333158
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11437104/
Abstract

Neurons in the cortex are heterogeneous, sending diverse axonal projections to multiple brain regions. Unraveling the logic of these projections requires single-neuron resolution. Although a growing number of techniques have enabled high-throughput reconstruction, these techniques are typically limited to dozens or at most hundreds of neurons per brain, requiring that statistical analyses combine data from different specimens. Here we present axonal BARseq, a high-throughput approach based on reading out nucleic acid barcodes using in situ RNA sequencing, which enables analysis of even densely labeled neurons. As a proof of principle, we have mapped the long-range projections of >8000 primary auditory cortex neurons from a single male mouse. We identified major cell types based on projection targets and axonal trajectory. The large sample size enabled us to systematically quantify the projections of intratelencephalic (IT) neurons, and revealed that individual IT neurons project to different layers in an area-dependent fashion. Axonal BARseq is a powerful technique for studying the heterogeneity of single neuronal projections at high throughput within individual brains.

摘要

大脑皮层中的神经元具有异质性,它们向多个脑区发出不同的轴突投射。要揭示这些投射的逻辑,需要进行单细胞分辨率的研究。尽管越来越多的技术已经能够实现高通量重建,但这些技术通常仅限于每个脑区几十到几百个神经元,这就要求统计分析将来自不同样本的数据进行组合。在这里,我们提出了轴突 BARseq,这是一种基于原位 RNA 测序读取核酸条码的高通量方法,即使是标记密度很高的神经元也可以进行分析。作为原理验证,我们从一只雄性小鼠中绘制了超过 8000 个初级听觉皮层神经元的长程投射图谱。我们根据投射目标和轴突轨迹确定了主要的细胞类型。由于样本量大,我们能够系统地量化脑内投射神经元的投射,并揭示了单个脑内投射神经元以区域依赖性的方式投射到不同的脑区层。轴突 BARseq 是一种强大的技术,可以在单个脑内以高通量的方式研究单个神经元投射的异质性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/482a/11437104/712c9b2f93f3/41467_2024_52756_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/482a/11437104/3b8e87389e22/41467_2024_52756_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/482a/11437104/d98c5554a5a3/41467_2024_52756_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/482a/11437104/0d66372b568b/41467_2024_52756_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/482a/11437104/7a711c23a7c0/41467_2024_52756_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/482a/11437104/712c9b2f93f3/41467_2024_52756_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/482a/11437104/3b8e87389e22/41467_2024_52756_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/482a/11437104/d98c5554a5a3/41467_2024_52756_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/482a/11437104/0d66372b568b/41467_2024_52756_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/482a/11437104/7a711c23a7c0/41467_2024_52756_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/482a/11437104/712c9b2f93f3/41467_2024_52756_Fig5_HTML.jpg

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