Spatial transcriptomics and gene expression analysis represent a transformative approach in biomedical research, integrating the spatial context of tissues with high-resolution profiling of gene ...

Single-cell RNA transcriptomics allows researchers to broadly profile the gene expression of individual cells in a particular tissue. This technique has allowed researchers to identify new subsets of ...

This figure shows how the STAIG framework can successfully identify spatial domains by integrating image processing and contrastive learning to analyze spatial transcriptomics data effectively.

Researchers at the John Innes Centre and the Earlham Institute are pioneering powerful single-cell visualisation techniques ...

Conventional transcriptomic techniques have revealed much about gene expression at the population and single-cell level—but they overlook one crucial factor: spatial context. In musculoskeletal ...

Exploring biology in its native environment is perhaps the ideal scenario for generating better hypotheses about the cellular interactions that influence—and drive—healthy and diseased states, ...

Researchers at the John Innes Centre and the Earlham Institute are pioneering powerful single-cell visualisation techniques ...

Scientists have identified a new CAF subset in HNSCC using tissue cytometry and spatial transcriptomics. In two-thirds of cases, head and neck squamous cell carcinomas (HNSCC) require treatment with ...