Trace-n-Seq combines retrograde fluorescent tracing with sorting and single-cell sequencing of innervating peripheral neurons.

IF 18.4 1区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Vera Thiel, Manuel Mastel, Simon Renders, Jasper Panten, Katharina Bauer, Rene Jackstadt, Martin R Sprick, Andreas Trumpp
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引用次数: 0

Abstract

Neuronal innervation plays a pivotal role in controlling tissue function during homeostasis and regeneration, as well as in pathological contexts such as inflammation, autoimmune disorders, fibrosis and cancer. A major obstacle in understanding neuron-tissue interactions at the molecular level is that neuronal cell bodies reside in peripheral ganglia often far outside the organ of interest and are therefore typically excluded in common single-cell datasets of tissues. Here we developed Trace-n-Seq to address this issue-a method that combines retrograde tracing with fluorescence-activated cell sorting and single-cell sequencing to molecularly profile individual neurons innervating healthy or diseased tissues. Trace-n-Seq can be used to explore the specific gene expression signatures of peripheral neurons at single-cell resolution. The method utilizes retrograde axonal tracing using Fast Blue, ganglia dissociation and fluorescence-activated cell sorting followed by single-cell RNA sequencing to enable the isolation and transcriptomic analysis of ganglia. Unlike bulk or whole-ganglia single-cell RNA sequencing without retrograde labeling, Trace-n-Seq allows the characterization of organ-specific neurons with single-cell resolution, eliminating background from uninvolved neurons and unrelated cell types located in the same ganglion. The procedure allows researchers to obtain molecular transcriptomes of tissue-innervating neurons and to study their plasticity, subtype identity and potential interactions with the tissue microenvironment. The complete Trace-n-Seq workflow can be performed in 2 weeks and is suitable for researchers with experience in molecular biology, neuronal tissue handling, sequencing techniques and bioinformatic analysis.

Trace-n-Seq结合了逆行荧光示踪与排序和单细胞测序的支配周围神经元。
神经支配在体内平衡和再生过程中,以及炎症、自身免疫性疾病、纤维化和癌症等病理环境中,在控制组织功能方面起着关键作用。在分子水平上理解神经元-组织相互作用的一个主要障碍是,神经元细胞体位于外周神经节中,通常远离目标器官,因此通常被排除在常见的单细胞组织数据集中。在这里,我们开发了Trace-n-Seq来解决这个问题——一种将逆行追踪与荧光激活细胞分选和单细胞测序相结合的方法,以分子分析支配健康或病变组织的单个神经元。Trace-n-Seq可用于在单细胞分辨率下探索周围神经元的特定基因表达特征。该方法利用Fast Blue逆行轴突示踪、神经节解离和荧光激活细胞分选,然后进行单细胞RNA测序,以实现神经节的分离和转录组学分析。与没有逆行标记的整体或整个神经节单细胞RNA测序不同,Trace-n-Seq允许以单细胞分辨率表征器官特异性神经元,消除位于同一神经节的未参与神经元和不相关细胞类型的背景。该方法使研究人员能够获得组织神经支配神经元的分子转录组,并研究它们的可塑性、亚型身份以及与组织微环境的潜在相互作用。完整的Trace-n-Seq工作流程可在2周内完成,适用于具有分子生物学,神经元组织处理,测序技术和生物信息学分析经验的研究人员。
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来源期刊
Nature Protocols
Nature Protocols 生物-生化研究方法
CiteScore
29.10
自引率
0.70%
发文量
128
审稿时长
4 months
期刊介绍: Nature Protocols focuses on publishing protocols used to address significant biological and biomedical science research questions, including methods grounded in physics and chemistry with practical applications to biological problems. The journal caters to a primary audience of research scientists and, as such, exclusively publishes protocols with research applications. Protocols primarily aimed at influencing patient management and treatment decisions are not featured. The specific techniques covered encompass a wide range, including but not limited to: Biochemistry, Cell biology, Cell culture, Chemical modification, Computational biology, Developmental biology, Epigenomics, Genetic analysis, Genetic modification, Genomics, Imaging, Immunology, Isolation, purification, and separation, Lipidomics, Metabolomics, Microbiology, Model organisms, Nanotechnology, Neuroscience, Nucleic-acid-based molecular biology, Pharmacology, Plant biology, Protein analysis, Proteomics, Spectroscopy, Structural biology, Synthetic chemistry, Tissue culture, Toxicology, and Virology.
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