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Research Services | Neural Circuit Tracing + Targeted Spatial Omics + Neuronal Classification Analysis

Time:2025-03-18 14:43:05

1. Service Background

The mammalian nervous system executes complex behaviors controlled by specialized, precisely localized, and interacting cell types. Among them, neurons exhibit the highest diversity, classified based on developmental anatomical units, neurotransmitter and neuropeptide expression. This diversity is driven by genes that encode cell identity, synaptic connectivity, neurotransmission, and membrane conductance.

As neuroscience enters the multi-dimensional era of "cell type-circuit-behavior" analysis, traditional antibody-based neuronal classification techniques face significant limitations: insufficient antibody specificity, high cost, low throughput (difficulty in labeling multiple proteins on the same brain section), and an inability to comprehensively cover complex neuronal subtypes or dynamically track functional states. These challenges have severely restricted the in-depth investigation of complex neural circuits and disease mechanisms.

In recent years, breakthroughs in spatial transcriptomics have enabled the simultaneous detection of thousands of genes or proteins while preserving tissue spatial structure. By integrating single-cell transcriptomic data, this technology allows unbiased and high-throughput neuronal subtyping. Additionally, spatial omics supports both whole-transcriptome and targeted panel detection, providing insights into neuronal functional states within specific circuits (e.g., activity-dependent genes and metabolic pathways). Combined with time-series samples, it enables tracking of neuronal type dynamics during development, learning, or disease progression.

By integrating circuit-tracing anatomical information with spatially resolved gene expression, we can directly link neuronal types, circuit connectivity, and functions.
We now introduce the "Neural Circuit Tracing + Targeted Spatial Omics + Neuronal Classification Analysis" service, delivering three core advancements:
01 From Single Markers to Systematic Mapping: Utilizing spatial multi-omics data to construct a neuronal type analysis atlas based on circuit tracing.
02 From Static Classification to Dynamic Modeling: Deciphering transcriptomic dynamics of neurons within circuits during development, disease progression, or behavioral interventions.
03 From Laboratory to Clinical Translation: Identifying circuit-specific therapeutic targets to provide precise data support for neurodegenerative diseases, psychiatric disorders, and brain-machine interface development.

For key neuronal cell types, we have selected hybridization probe sequences with high efficiency and strong specificity, designing a targeted panel that integrates over 30 neuronal markers. This service is tailored for cutting-edge neuroscience laboratories, neuropharmaceutical companies, and clinical research institutions, aiming to become the next-generation core tool for deciphering brain function and disease mechanisms.

2. Service Workflow

  • Experimental Design: Define labeling strategies based on research objectives (retrograde/anterograde viral tracing, trans-synaptic labeling) and select target marker probe panels.
  • Viral Labeling & Tissue Processing: Perform viral injections, tissue sectioning, and spatial omics-compatible processing.
  • Multi-omics Data Acquisition: Conduct targeted spatial transcriptomic mRNA-level detection.
  • In-depth Analysis & Visualization: Analyze neuronal types labeled by tracing viruses, including their quantity and spatial distribution.

3. Partial Visualization Results

(1)  Neuronal Types and Quantification


Figure 1 Analysis of the proportion of different neuronal types among virus-labeled neurons.


(02).Spatial Distribution of Different Neuronal Types

Figure 2 Distribution of different neuronal types among virus-labeled neurons.


(03).Published Article Case Study


Figure 3 Identification of cell types labeled by viral vectors in the SSp brain region using in situ hybridization technology [1].


4. Available Panels


5.References

【1】Han Z, Luo N, Ma W, et al. AAV11 enables efficient retrograde targeting of projection neurons and enhances astrocyte-directed transduction. Nat Commun. 2023;14(1):3792. Published 2023 Jun 26. doi:10.1038/s41467-023-39554-7
 

6. Contact Us

For customers interested in identifying virus-labeled neuronal types, feel free to contact us at bd@ebraincase.com to receive customized experimental plans and case details. Let’s unlock the molecular code of neural circuits together!

 

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