Spatial biology is the study of biological molecules, cells and structures in their native tissue position. Instead of grinding a biopsy into a homogeneous soup, researchers keep the architecture intact and ask: which transcripts or proteins are expressed where, in which cells, and next to which neighbours? The field has grown rapidly because context controls biology: a T cell sitting next to a tumour cell behaves differently from one in the stroma, and the same marker can mean different things in different neighbourhoods.
1. Why spatial biology matters now
For decades, labs had to choose between two views. Histology preserved morphology but measured only a few markers. Bulk omics measured thousands of molecules but lost all positional information. Single-cell sequencing added cell-type resolution, yet the cells were removed from their tissue context before analysis.
Spatial biology combines the best of both. It lets researchers see morphology, cell types and molecular read-outs at the same time. In oncology, that means mapping the tumour microenvironment: cancer cells, immune infiltrates, blood vessels and fibroblasts in one intact section. In neuroscience, it means seeing which neuronal subtypes sit in which layers and circuits. In developmental biology, it means tracking how gene expression patterns drive tissue patterning.
UK funding bodies and core facilities are responding. Cancer Research UK, the MRC, Wellcome and many university imaging cores have added spatial transcriptomics and multiplex imaging platforms to their catalogues. For a UK lab in 2026, spatial biology is becoming a standard capability, not a specialist technique.
2. The main methods
Spatial biology is a toolkit rather than one assay. The right method depends on whether you need protein or RNA, how many targets, and what resolution you need.
Immunohistochemistry and immunofluorescence
Classical IHC detects one protein per section using a chromogenic reporter. Immunofluorescence swaps the chromogen for a fluorescent dye, allowing two or three co-stains on a standard widefield or confocal microscope. These methods are the entry point for most labs because they require only routine histology and microscopy equipment.
Multiplex immunofluorescence
Multiplex IF extends fluorescence to dozens of proteins in the same tissue by cycling antibodies, stripping and re-staining, or using spectral unmixing. Lin et al. published a foundational protocol for highly multiplexed immunofluorescence imaging of human tissues and tumours, showing how iterative staining and computational unmixing can build a rich protein atlas of a single section.
In situ hybridisation and FISH
Fluorescence in situ hybridisation (FISH) detects specific RNA or DNA sequences inside intact cells. Smaller RNA targets can be read with single-molecule FISH (smFISH), while spatial transcriptomics platforms scale this to hundreds or thousands of genes across whole tissue sections.
Spatial transcriptomics
Spatial transcriptomics places RNA sequencing data back onto a tissue image. Early methods used arrayed capture spots; newer imaging-based methods such as MERFISH, seqFISH and CosMx read individual transcripts inside cells at subcellular resolution. Moffitt et al. showed how multiplexed error-robust FISH (MERFISH) could profile the hypothalamic preoptic region in mice, linking molecular identity to spatial location and function.
Imaging mass cytometry
Imaging mass cytometry uses metal-tagged antibodies and a laser ablation mass cytometer to detect dozens of proteins simultaneously. Keren et al. used multiplexed ion beam imaging to reveal structured tumour-immune microenvironments in triple-negative breast cancer, showing that spatial organisation itself carried prognostic information.
3. How it differs from single-cell and bulk omics
| Approach | What it preserves | What it loses |
|---|---|---|
| Bulk tissue omics | Sensitive detection of rare transcripts | Cell identity and spatial context |
| Single-cell sequencing | Full transcriptome per cell | Tissue position and neighbour relationships |
| Spatial biology | Molecules, cells and tissue context | Some multiplex depth or throughput compared with bulk |
4. Key application areas
- Cancer and immuno-oncology: Mapping immune cell neighbourhoods in tumours helps explain why some patients respond to immunotherapy and others do not.
- Neuroscience: Brain regions are defined by both cell type and wiring; spatial transcriptomics is revealing layer- and circuit-specific gene expression.
- Developmental biology: Embryos build themselves in space; spatial data shows how gene expression gradients create tissues.
- Infectious disease: Pathogen-host interactions can be mapped to specific tissue niches, revealing where immune responses succeed or fail.
5. What a UK lab needs to get started
The minimum viable workflow is: (1) good tissue sections, (2) a validated staining or probe protocol, (3) a microscope that can capture the required channels and fields of view, and (4) software for segmentation and quantification. From there, labs can scale to whole-slide scanners, high-plex imagers, spatial transcriptomics platforms or integrated multi-omic systems.
Video: Bruker / NanoString GeoMx DSP introduction to spatial biology.
Video: Bio-Techne COMET hyperplex spatial biology platform overview.