Transcriptional profiling of mouse projection neurons with VECTORseq
Victoria Cheung1, Philip Chung2, Evan H Feinberg3
1Department of Anatomy, University of California, San Francisco, San Francisco, CA 94158, USA; Tetrad Graduate Program, University of California, San Francisco, San Francisco, CA 94158, USA.
STAR Protocols
|August 29, 2022
Summary
VECTORseq enables high-throughput transcriptional profiling of multiple projection neuron populations simultaneously. This method uses viral barcodes to map neuronal connections and analyze gene expression in single cells.
Area of Science:
- Neuroscience
- Molecular Biology
- Genomics
Background:
- Current methods for studying projection neurons are limited to analyzing one population per experiment, hindering large-scale anatomical and transcriptomic studies.
- Efficiently profiling diverse neuronal populations is crucial for understanding complex brain circuitry and function.
Purpose of the Study:
- To develop a novel method, VECTORseq, for multiplexed transcriptional profiling of projection neurons.
- To enable simultaneous analysis of multiple neuronal populations and their projection targets.
Main Methods:
- VECTORseq utilizes retrogradely infecting viruses to deliver unique RNA barcodes to distinct projection neuron populations in the mouse brain.
- The protocol involves viral barcode delivery, single-cell or single-nuclei isolation, RNA sequencing, and subsequent bioinformatic analysis.
- This approach allows for the simultaneous readout of projection anatomy and gene expression profiles.
Main Results:
- VECTORseq successfully labels and distinguishes multiple projection neuron populations based on their viral barcode sequences.
- The method integrates projection targeting information with single-cell RNA sequencing data.
- Enables comprehensive analysis of neuronal connectivity and transcriptomic diversity.
Conclusions:
- VECTORseq significantly increases throughput for studying projection neuron populations.
- This technique provides a powerful tool for dissecting brain circuitry and understanding neuronal diversity.
- Facilitates large-scale mapping of neuronal connections and gene expression patterns.
Keywords:
BioinformaticsCell isolationGene expressionGenomicsNeuroscienceRNAseqSequence analysisSequencingSingle cell

