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Research Services | Neural Circuit Tracing + Targeted Spatial Omics + Neuronal Classification Analysis (with Case)

Time:2025-09-23 15:48:37

Service Overview

As neuroscience research enters the era of multidimensional analysis—linking cell types, circuits, and behavior—traditional antibody-based neuron classification techniques face multiple bottlenecks, such as insufficient antibody specificity, high cost, and low throughput (e.g., difficulty labeling multiple proteins on the same brain slice). These limitations severely restrict in-depth exploration of complex neural circuits and disease mechanisms.

To overcome these challenges, we have launched an innovative research service—“Neural Circuit Tracing + Targeted Spatial Omics + Neuronal Classification Analysis”. After completing neural circuit tracing, spatial transcriptomics is performed on brain tissues containing labeled neurons, integrating the anatomical connectivity information obtained from tracing with spatial gene expression data.

This integration enables researchers to directly link labeled neurons to their molecular features (such as the expression levels of specific genes or neuronal subtypes), thereby revealing direct relationships between neuronal types, circuit connections, and functional states.

 

Technical Principle & Advantages

This service is built upon three core technologies:

01 Neural Circuit Tracing Technology

Using viral tools such as AAV, RV, and PRV, we achieve anterograde/retrograde and trans-synaptic labeling to precisely map neuronal projection pathways.

 

02 Targeted Spatial Transcriptomics (MiP-seq)

A novel targeted spatial omics technology offering high sensitivity, high specificity, and high resolution. It enables qualitative and quantitative detection at single-base and subcellular levels, allowing construction of single-cell spatial maps. This technology is widely applied in neuroscience, developmental biology, oncology, and other research fields.


 

03 Multidimensional Data Analysis & Visualization

Combining image processing, cell segmentation, gene expression quantification, and spatial localization, this analysis deciphers the relationships between neuronal types and circuit functions.


Service Workflow

01 Experimental Design
Determine labeling strategies based on research goals (retrograde/anterograde viral tracing, mono-/polysynaptic labeling), select appropriate viral types, and design or select target marker probe panels.

02 Viral Labeling & Tissue Processing
Process samples following the workflow: viral injection → tissue collection → fixation → sucrose dehydration → OCT embedding → cryosectioning.

03 Targeted Spatial Transcriptomics
Perform spatial transcriptomic detection and quantification at the mRNA level.

04 Multidimensional Data Integration & Analysis
Analyze neuronal types, numbers, and spatial distribution labeled by the tracing virus.
 

Service Advantages

1. High-Specificity Probes and Comprehensive Panel: Precise Neuronal Subtype Identification

Key neuronal cell types are targeted by selecting hybridization regions with high efficiency and specificity to design dedicated probes. The integrated targeted panel includes over 30 neuronal markers, enabling precise identification of multiple neuronal subtypes. This allows accurate distinction of different neuron types within complex neuronal populations, laying a solid foundation for in-depth studies of neuronal characteristics and functions.


 

2. The data and results that Brain Case(bd@ebraincase.com) can deliver to you:

A one-stop presentation of research outcomes, including raw images (viral labeling fluorescence images, gene in situ hybridization images), analytical charts (spatial distribution maps of neuronal subtypes, gene expression boxplots/heatmaps), statistical results, and conclusions. All results are delivered in the form of a final report, providing a clear and intuitive display of research findings.

3. Broad Application Prospects:

Applicable across multiple fields of neuroscience research. In developmental neuroscience, it enables tracking of neuronal changes during development; in neurodegenerative disease research, it supports the identification of disease-related neuronal alterations and potential therapeutic targets; in psychiatric disorder studies, it helps uncover abnormalities in brain neural circuits.
 

Case example below, for reference only

This study investigated the types of neurons in the prelimbic cortex (PrL) of mice that project to the ventral tegmental area (VTA). An RV retrograde trans-synaptic tracing virus was injected into the VTA, and brain slices were collected for in situ hybridization. The detection panel included Choline Acetyltransferase (ChAT), Dopamine Transporter (DAT), Vesicular Glutamate Transporter 1 (Vglut1), Vesicular Glutamate Transporter 2 (Vglut2), Vesicular GABA Transporter (VGAT), and Serotonin Transporter (SERT).


1. Image Calibration

Acquired images were adjusted and optimized to correct for imaging artifacts caused by equipment differences, lighting conditions, or experimental operations, ensuring accuracy, consistency, and reliability.

Figure 1: Merged fluorescence image (blue: nuclei, green: virus-labeled cells)


2. Signal Decoding

Fluorescence signals were quantified and spatially localized. Quantification involved measuring signal intensity, area, or other parameters to reflect expression levels, while localization determined the precise spatial position of signals for further spatial distribution and interaction analysis.

Figure 2: All-gene distribution map (different colored dots represent different gene signals)
 

Figure 3: Single-gene distribution map (expression profile of individual gene)
 

3. Cell Segmentation & Signal Assignment

Image processing was performed to identify and delineate cell boundaries, enabling single-cell localization and segmentation.

Figure 4: Cell segmentation map (identified cells)


Figure 5: Gene-to-cell distribution map (blue/gray: nuclei; colored dots: different gene signals)

 

4. Data Statistics

Statistical analysis of the traced virus-labeled cells showed expression patterns for six genes.

Figure 6: Gene expression boxplots

 

Figure 7: In situ gene expression heatmap


 

Summary of Results

Among neurons in the prelimbic cortex projecting to the VTA, Sla17a7-expressing cells were the predominant type, accounting for approximately 63% of the population. For inquiries related to neural circuit tracing, spatial omics, or dimensional data analysis and visualization, please contact us at bd@ebraincase.com

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