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 ...

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 ...

Spatial transcriptomics analysis has become one of the most computationally intensive disciplines in modern life science research. Generating spatially resolved gene expression profiles is now within ...

For the first time, scientists have created a single-cell and spatial transcriptomics framework to investigate damage to ...

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 has come at the cost of ...

The global transcriptome sequencing market is projected to reach $11.8 billion by 2035, growing at a 7.3% CAGR from 2025 to 2035. Growth is driven by falling sequencing costs, precision medicine, drug ...

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

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 ...

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.