New simulator and computational tools generate realistic ‘virtual tissues’ and map cell-to-cell ‘conversations’ from spatial transcriptomics data, potentially accelerating AI-driven discoveries in ...

Researchers in Nikolaus Rajewsky's lab at Max Delbrück Center combined high-resolution, single-cell spatial technologies to map a tumor's cellular neighborhoods in 3D and identify potential targets ...

Spatial biology is reshaping how researchers study cancer by revealing the architecture and complexity of tumors in extraordinary detail. Through techniques that combine protein- and gene-level ...

Tumors contain many different types of cells organized in complex spatial patterns that can influence how the disease progresses. Because of this, it is hard to predict how a tumor will develop and ...

The rapid development of spatial transcriptomics (ST) technologies has greatly advanced the understanding of gene expression, tissue architecture, cellular composition, and disease mechanisms within ...

In a recent study published in Nature, researchers investigate the spatial organization of cancer cells and the tumor microenvironment by analyzing over one hundred tumor sections across six types of ...

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 ...

Whole-transcriptome profiling across a large tissue capture area can generate 2x more unique genes per sample than probe-based technologies SAN DIEGO, June 8, 2026 /PRNewswire/ -- Illumina, Inc.