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 ...

Spatial transcriptomics is a cutting-edge technique that characterizes gene expression within sections of tissue, such as heart, skin or liver tissue. These snapshots provide insights into how spatial ...

Ovarian clear cell carcinoma (OCCC) has a higher prevalence among East Asian women and is characterized by poor clinical ...

Spatial transcriptomics has transformed brain research by preserving single-cell molecular resolution within intact tissue coordinates. The brain, organized across cortical layers, long-range ...

Knowing the location of a gene within intact tissue or a single cell allows scientists to unlock unknown cellular functions. This information is often lost in most genetic sequencing techniques, but ...

A new RNA search engine can scan millions of cells in seconds for mutations, pathogens, isoforms and other biological clues.

A new spatial transcriptomics framework compares tumor “floor plans,” revealing conserved spatial groups that may relate ...

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 ...

The field of spatial transcriptomics utilizes technologies that map gene expression data to specific cellular locations within tissues. While traditional RNA sequencing methods generate quantitative ...

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.