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.

Recent advances in single-cell sequencing and spatial multi-omics have transformed our ability to resolve tumor ecosystems at unprecedented resolution.

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 ...

Scientists have identified a new CAF subset in HNSCC using tissue cytometry and spatial transcriptomics. In two-thirds of cases, head and neck squamous cell carcinomas (HNSCC) require treatment with ...

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 ...

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 ...

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 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 omics is transforming how researchers understand tissue biology, revealing the complex interplay between cells in health and disease. While RNA expression studies provide important molecular ...

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.