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 ...

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 ...

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 Center and the Earlham Institute are pioneering powerful single-cell visualization techniques that could unlock higher yields of global wheat.

(MEMPHIS, Tenn. – December 3, 2025) Spatial transcriptomics provides a unique perspective on the genes that cells express and where those cells are located. However, the rapid growth of the technology ...

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 ...

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

Researchers used spatial transcriptomics to map gene expression in developing wheat spikes at single-cell resolution.

Advancements in AI, multi-omics, and genome editing are transforming life sciences and biotechnology, addressing new ...