Trekker Single-Cell Spatial Mapping Kit resources

Introducing a new class of spatial technology

Acquire spatial and single-cell data in a single experiment, without sacrificing sensitivity or resolution.

  • Analyze without deconvolution, segmentation, or complex algorithms to achieve true single-cell resolution
  • Preserve the quality and sensitivity of your single-cell data with spatial barcodes that are donated to nuclei
  • Gain single-cell spatial data by adding Trekker kits to your single-cell NGS workflow

What our customers are saying

Trekker adds valuable spatial information to single-nucleus transcriptomics data without compromising on cellular resolution or transcriptome coverage. The protocol fits seamlessly into standard workflows, making it easy and time-efficient to add spatial information to our projects. Within weeks of starting our work with the Trekker system, my lab members were generating high-quality data that has completely transformed two projects and opened new avenues to mechanistic insights that we are currently testing. The team was also outstanding in supporting us in our efforts to set this up. We couldn’t be happier with our experience and would enthusiastically recommend this platform to colleagues and collaborators.

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Conor Liston, PhD, MD

Professor of Neuroscience and Psychiatry

Department of Psychiatry at Weill Cornell Medicine


We have been able to seamlessly integrate Trekker into our experiments. The wet lab protocol is straightforward and highly reliable and integrates nicely with traditional single-cell platforms. The data quality is superb, and both precise spatial location and whole transcriptome results can be reliably obtained on tens of thousands of cells from a single tissue section. We have computationally integrated the Trekker data with other data modalities, such as imaging-based in situ spatial transcriptomics, allowing for even greater biological insight. Trekker has become my ‘go-to’ single-cell and spatial platform for all experiments, as the ease of performance and analysis, combined with the quality of data, is superior to any other spatial platform on the market.

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Brian Kalish, MD

Physician in Medicine, Division of Newborn Medicine, Boston Children’s Hospital

Assistant Professor of Pediatrics, Harvard Medical School


Workflow

The one-hour Trekker workflow seamlessly integrates upstream of your single-cell assay.

The core of the Trekker technology lies in its spatially barcoded surface, composed of a bead monolayer. A 25 µm frozen tissue section is placed onto this barcoded substrate. Upon exposure to UV light, oligonucleotides carrying spatial barcodes are cleaved from the beads and attach to the nuclei in their vicinity. The tissue is then dissociated from the substrate, and the nuclei are isolated. Single-nucleus RNA sequencing (snRNA-seq) is performed on these isolated nuclei containing spatial barcode oligos. Spatial barcode oligos are captured and amplified alongside cellular RNA. For each sample, two sequencing libraries are generated—one for gene expression data and another for spatial barcodes. A custom analysis pipeline is used to map the position of each nucleus based on the spatial barcodes it contains. Integrating the Trekker protocol adds just one hour upstream of standard snRNA-seq workflows.


Webinar: Unlocking spatial multiomics with Trekker solutions

Topics covered:

  • Adding spatial multiomics solutions to single-cell sequencing workflows
  • Bringing spatial context to ATAC-seq and V(D)J sequencing alongside gene expression analysis
  • Unlocking a deeper view of tissue organization and cellular interactions

Meet the presenter

Christina Chang, PhD

Dr. Christina Chang is the Director of Assay Applications, Spatial Genomics R&D at Takara Bio USA, Inc. She leads assay and applications development, driving the commercialization of novel spatial genomics products. Christina has extensive experience in single-cell multiomics technologies and has contributed to numerous inventions and commercial launches of single-cell and spatial genomics research products. Christina received her PhD in Immunology from the University of California, San Diego.

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