Society for Neuroscience
Discover Trekker technology—true multiomics for scalable single-cell spatial discovery on every platform
Neuroscience 2025 happened November 15–19 in San Diego, CA, and brought together all segments of neuroscience, integrating research from levels of biological organization and translating new knowledge into improved treatments and cures. At the meeting, we had two featured talks and shared information on Trekker technology—a new class of spatial technology designed to acquire spatial and single-cell data in a single experiment, enabling high-sensitivity and high-resolution data acquisition without cell segmentation, deconvolution, or capital equipment requirements.
Featured talks
Novel spatial tagging of single nuclei spatializes single cell ATACseq and V(D)J sequencing with gene expression for glioma cellular ecosystem profiling
In this talk, Dr. Wanxin Wang described how spatial multiomics can be used beyond gene expression to include chromatin and V(D)J analyses, while simplifying downstream interpretation. Single-cell multiomics (RNA-seq, ATAC-seq) illuminate gene regulation but lose spatial context—crucial in glioma’s disordered or structured niches. The Trekker technology enables spatial single-cell maps by releasing Slide-tag barcodes from bead arrays into nuclei, then using standard single-cell workflows. Applying the Trekker single-cell mapping kit to fresh-frozen glioma and integrating snRNA-seq and snATAC-seq data delineated the spatial organization of malignant subtypes, glial, neural, immune, and vascular populations by genetic, transcriptomic, and epigenetic signatures. Spatial association analyses across multiple scales mapped interactions between malignant subtypes and immune cell types within spatial context.
Spatial mapping of FFPE mouse brain: Integrating single-nucleus RNA-seq with spatial transcriptomics to study complex tissue organization
In this talk, Dr. Cedric Uytingco discussed the Trekker spatial mapping kit, a single-cell spatial transcriptomics kit that couples snRNA-seq sensitivity with simple Slide-tags–inspired spatial tagging, even in FFPE biospecimens. Spatial transcriptomics links gene expression to location, yet single-cell methods are complex, proprietary, and often require heavy segmentation and deconvolution. These limits are felt acutely in the analysis of intricate systems, including developing and adult nervous systems, where precise cell-type classification, anatomical mapping, and single-cell gene-level sensitivity are essential. Trekker technology bridges the long-standing gap between spatial context and transcriptomic depth, spatially tagging nuclei within intact tissue sections, including FFPE biospecimens, and leveraging established snRNA-seq workflows. In 25–30 µm adult mouse brain and E16 embryo sections, Trekker technology produced high-sensitivity single-nucleus profiles, enabling accurate cell-type mapping, anatomical localization, and histology-aligned spatial analysis.
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