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Updated: May 4, 2026

Viral Tracing of Genetically Defined Neural Circuitry
Published on: October 17, 2012
Protocol to produce and apply barcoded rabies virus for single-neuron input mapping in mice
Kang Tan1, Ya-Qian Wang1, Liu Fan1
1Lingang Laboratory, Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, 555 Qiangye Road, Shanghai 201210, China.
This study introduces a new method using barcoded rabies virus for high-throughput brain-wide neural circuit mapping. This technique allows researchers to trace inputs to single neurons and integrate with gene expression data.
Area of Science:
- Neuroscience
- Molecular Biology
- Genomics
Background:
- Understanding neural circuits is crucial for neuroscience.
- Current methods for mapping neuronal inputs have limitations in throughput and integration with molecular data.
- Rabies virus tracing is a powerful tool for studying neuronal connectivity.
Purpose of the Study:
- To present a detailed protocol for producing and applying barcoded rabies virus for single-neuron input mapping in mice.
- To enable high-throughput mapping of brain-wide inputs to individual neurons.
- To facilitate integration of neural tracing with transcriptomic profiling.
Main Methods:
- Generation of barcode plasmid libraries.
- Production of barcoded rabies virus.
- Isolation of target brain regions.
- Preparation of single-cell suspensions or bulk RNA.
- Construction of barcode amplicon libraries from input regions.
- Initial analysis of sequencing data.
Main Results:
- The protocol enables high-throughput mapping of brain-wide inputs to individual neurons.
- The method allows for integration with transcriptomic profiling.
- Detailed steps for virus production, tissue processing, and data analysis are provided.
Conclusions:
- Barcoded rabies viral tracing is an effective method for comprehensive neural circuit analysis.
- This protocol provides a valuable tool for researchers studying brain connectivity and gene expression.
- The technique advances the field of neuroscience by enabling detailed single-neuron connectomics.
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