09/02/2026
Historically, transcriptome studies often required dissociating tissue, which erased the spatial map of where gene activity occurred. A method that analyzes gene expression across vast tissue expanses without losing this architectural context addresses a clear need. This is the focus of large stereo seq transcriptomics. At STOmics, our work in this area involves using our Stereo-seq technology on specifically designed chips to enable what is termed large-area transcriptomics. This approach allows for the in situ capture of a whole transcriptome across an entire tissue section, maintaining nanoscale resolution over a centimeter-sized field of view. We will outline how this form of large-area transcriptomics functions.
The defining feature of large stereo seq transcriptomics is its expansive field of view (FOV). Traditional spatial methods might analyze only small, selected regions of a sample. In contrast, large-area transcriptomics aims to capture data from complete tissue sections. This is enabled by specialized Stereo-seq Large Chip Designs (LCD). These chips are manufactured in sizes such as 1cm x 2cm, 2cm x 2cm, and 2cm x 3cm. This design means an entire mouse brain, a complete organoid, or a substantial clinical biopsy can be placed on a single chip. The objective is to obtain a unified, comprehensive molecular dataset from the entire sample, eliminating the need for manual tiling or stitching of multiple smaller fields.
The capability to perform large stereo seq transcriptomics rests on the synergy between chip design and the underlying sequencing chemistry. The Stereo-seq LCD chips contain a dense array of capture probes with nanoscale resolution. When a tissue section is placed on the chip, these probes capture mRNA molecules directly from their native locations across the full centimeter-scale area. Following capture, the process of on-chip cDNA synthesis and library preparation converts the spatially barcoded mRNA into sequencer-ready libraries. This integrated process ensures that the spatial coordinate of every captured transcript is preserved. The outcome is a single, coherent dataset that records gene expression across the entire tissue landscape submitted for large-area transcriptomics study.
The practical value of large stereo seq transcriptomics becomes evident in its application. Because the method is compatible with formalin-fixed samples from all species, it has broad utility. Researchers can examine heterogeneous tissues, like tumors, in their entirety to understand regional variations in gene expression at the subcellular level. Developmental biologists can profile whole embryos or organ sections. The "tissue-to-data" solution provided by this large-area transcriptomics approach gives a systemic perspective that was difficult to achieve before. It allows teams to ask questions about organism-wide or disease-wide spatial gene regulation, confident that the data represents the complete sample context without blind spots.
The capacity to analyze an entire tissue section under a unified, high-resolution molecular lens changes how researchers design experiments and interpret biological systems. Large stereo seq transcriptomics provides a pathway to observe gene activity networks as they exist in intact tissue. The development of Large Chip Designs for Stereo-seq offers a tool to support this comprehensive analysis. At STOmics, we provide the integrated platform that makes this scale of large-area transcriptomics accessible, supporting research that requires a complete spatial perspective.