A wave of spatial transcriptomics studies has produced gene-expression atlases that span entire organs and whole organisms, ...

Researchers developed an analytic framework for spatial-omics data that can help to map biological activity within tumors.

The AutoNorm(TM) adaptive amplification technology transforming library preparation at leading genomics cores is now available in a 16-well format, purpose-built for labs running smaller sequencing ...

Biological tissues are made up of different cell types arranged in specific patterns, which are essential to their proper functioning. Understanding these spatial arrangements is important when ...

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

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

Challenges and Prospects. Challenges and prospects faced by spatial transcriptomics itself and its application to the musculoskeletal system. AI Artificial intelligence, FFPE Formalin fixed and ...

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 ...

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.