Bioptimus, a global AI company building the world's first world model for biology, today announced the launch of its Spatial ...

A team of researchers has constructed the most detailed single-cell map of the adult human prostate to date, cataloging more ...

Andreas Pfenning discusses the techniques being developed and used to study neuronal heterogeneity and the therapeutic potential of his work.

Spatial transcriptomics has revealed that premalignant pancreatic cells organise into defined microenvironments that interact ...

Mount Sinai researchers have published the first organ-wide human skin spatial atlas from across the body. It provides an ...

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 ...

Prostate cancer affects one in five Australian men, making it the most common cancer in the country. Now, researchers at the ...

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 ...

Illustration of a spatial imprint of captured transcripts by Nova-ST, along with the localization of binned clustering, for a coronal section of the mouse brain. The illustration below the brain ...

Many biological functions and systems are influenced by how gene expression is spatially distributed, from subcellular through to tissue, organ, or at embryonic level. Our understanding of these ...

This Research Topic is the second volume of the “Unraveling Breast Cancer Complexity: Insights from Single-Cell Sequencing and Spatial Transcriptomics” ...

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.