Spatially resolved biology

Novel insights about your tissue. Visualized.

Uncover the "Where" for every "What"

The relationship between cells and their relative locations within tissue is critical to understanding normal development and disease pathology. Spatial transcriptomics is a groundbreaking molecular profiling method that allows scientists to measure all the gene activity in a tissue sample and map where the activity is occurring. Already this technology is leading to new discoveries that are proving instrumental in helping scientists gain a better understanding of biological processes and disease.

How it works

Fuel your spatial discoveries with spatial capture technology

Spatial capture technology powers the Visium Spatial platform through the use of spatially barcoded mRNA-binding oligonucleotides. There are two methods for how mRNA molecules get a spatial barcode.

In fresh frozen tissues, the tissue is fixed and permeabilized to release RNA which binds to adjacent capture probes, allowing for the capture of gene expression information. cDNA is then synthesized from captured RNA and sequencing libraries prepared.

In FFPE tissues, the tissue is permeabilized to release ligated probe pairs that bind to adjacent capture probes on the slide, allowing for the capture of gene expression information. Pairs of probes specific to each gene in the protein-coding transcriptome are hybridized to their gene target and then ligated to one another. The probe pairs are extended to incorporate complements of the spatial barcodes and sequencing libraries prepared.

Seminars

Examine gene expression in the context of the tissue microenvironment

Innovation in spatial transcriptomics methodologies is enabling scientists to get a holistic understanding of cells in their morphological context. In this presentation, you will hear first-hand from 10x Genomics scientists about groundbreaking improvements to the technology and exciting applications showcased by users.

Publications

Gain a holistic understanding of gene and protein expression in the tissue microenvironment

See how researchers are using spatial transcriptomics to elevate the understanding of complex transcriptional landscapes within a spatial context, which is essential for the understanding of biology and complex disease.

Multimodal analysis of composition and spatial architecture in human squamous cell carcinoma

Multimodal analysis of composition and spatial architecture in human squamous cell carcinoma

Ji AL, et al. Cell 2020.

Ji AL, et al. Cell 2020.

Spatial transcriptomics and in situ sequencing to study Alzheimer's disease

Spatial transcriptomics and in situ sequencing to study Alzheimer's disease

Chen WT, et al. Cell 2020.

Chen WT, et al. Cell 2020.

Visualization and analysis of gene expression in tissue sections by spatial transcriptomics

Visualization and analysis of gene expression in tissue sections by spatial transcriptomics

Ståhl PL, et al. Science 2016.

Ståhl PL, et al. Science 2016.

View all spatial transcriptomics publications

Visualization Controls

Use the sliders under the tissue image to adjust how you visualize and combine the tissue image and the gene expression data. Colors represent clusters identified by differentially expressed genes.

Gene Identification

By placing the pointer above a gene name within the table, spots in the tissue image will be colored based on the expression of that gene. Alternatively, by placing the pointer above a value within the table, you can observe the expression of a specific gene with the spots from an individual cluster highlighted.

  • Beyond gene expression

    Beyond gene expression

    Layer transcriptome and proteome data onto your stained images to understand tissue microenvironments like never before. Reveal the spatial organization of newly discovered cell types, states, and biomarkers.
  • Turnkey Solution

    Turnkey solution

    Compatible with diverse sample types across preparation (FFPE and fresh frozen) and species (human, mouse, rat, and more), easily incorporate into your research with all the reagents kitted and ready to use and no specialized instrumentation required.
  • Standard Tools

    Easily adoptable workflow

    Integrate easily with your current laboratory methods and tools for tissue analysis. Combine with immunofluorescence staining and imaging to gain multiomic characterization in the spatial context.
  • Streamlined data analysis

    Streamlined data analysis

    Analyze and understand gene and protein expression heterogeneity with Space Ranger analysis software to process your data, and interactively explore the results with Loupe Browser visualization software.
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