Spatially-Resolved Transcriptomics

Novel insights about your tissue. Visualized.

Uncover the ‘Where’ for every ‘What’

The relationship between cells and their relative locations within a tissue sample can be critical to understanding disease pathology. Spatial transcriptomics is a groundbreaking technology 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 will prove instrumental in helping scientists gain a better understanding of biological processes and disease.

Seminars

Explore Gene Expression in the Context of the Tissue Microenvironment

Innovation in spatial gene expression technologies 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 ground-breaking improvements to the technology and exciting applications showcased by users.

  • 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

    Compatibility with diverse sample types across species (human, mouse, rat, and more), the streamlined workflow lets you go from tissue section to sequencing-ready library in one day.
  • Standard Tools

    Standard Tools

    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.
  • How It Works

    A fresh-frozen tissue section is imaged for histological purposes (either H&E for morphological context or immunofluorescence for protein co-detection) and placed on an array containing capture probes that bind to RNA. Tissue is fixed and permeabilized to release RNA to bind to adjacent capture probes, allowing for the capture of gene expression information. cDNA is then synthesized from captured RNA and sequencing libraries prepared. The libraries are then sequenced and data visualized to determine which genes are expressed, and where, as well as in what quantity.

    Now available for order