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Targeted Labeling of Neurons in a Specific Functional Micro-domain of the Neocortex by Combining Intrinsic Signal and Two-photon Imaging
Published on: December 12, 2012
Projection-TAGs enable multiplex projection tracing and multi-modal profiling of projection neurons
Lite Yang1,2, Fang Liu1, Hannah Hahm1
1Department of Anesthesiology, Washington University Pain Center, Washington University School of Medicine, St. Louis, MO, USA.
Researchers developed Projection-TAGs, a novel tool for mapping brain cell connections. This platform enables multiplex projection tracing and single-cell profiling, advancing our understanding of neuronal cell types and their brain-wide projections.
Area of Science:
- Neuroscience
- Molecular Biology
- Genomics
Background:
- Single-cell multiomic techniques are crucial for mapping neuronal cell types and their projections.
- Current tools lack efficiency for studying the complex wiring, spatial organization, and molecular landscapes of projection neurons.
Purpose of the Study:
- To introduce Projection-TAGs, a novel retrograde adeno-associated virus (AAV) platform.
- To enable multiplex tagging and profiling of projection neurons for comprehensive brain mapping.
Main Methods:
- Developed Projection-TAGs, a retrograde AAV platform utilizing RNA barcodes for multiplex tagging.
- Applied Projection-TAGs for multiplex projection tracing in the cortex.
- Conducted high-throughput single-cell profiling of transcriptional and epigenetic landscapes in cortical projection neurons from female mice.
Main Results:
- Successfully demonstrated multiplex projection tracing of cortical neurons.
- Characterized the transcriptional and epigenetic landscapes of these neurons.
- Showcased the ability to capture activity-dependent neuronal recruitment and molecular features.
Conclusions:
- Projection-TAGs provide a flexible, usable, and compatible tool for neuroscience research.
- This platform facilitates the construction of a comprehensive multi-modal map of brain neuronal cell types and their projections.
- Enables snapshot analysis of activity-dependent neuronal populations and their molecular characteristics.
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