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.

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 ...

Transcriptomics represents a critical discipline in cancer research, enabling comprehensive mapping of gene expression profiles and the identification of fusion genes implicated in tumor development.

The field of tumor microenvironment research has increasingly highlighted the intertwined relationship between aberrant vasculature and dysregulated immune ...

Spatial biology first entered the omics scene about a decade ago. Since then, the technology has generated significant buzz both inside and outside of the lab—beyond its contributions to science. The ...

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 ...

(MEMPHIS, Tenn. – December 3, 2025) 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 ...

Single-cell RNA transcriptomics allows researchers to broadly profile the gene expression of individual cells in a particular tissue. This technique has allowed researchers to identify new subsets of ...

A small subpopulation of highly plastic cancer cells has been found to be for cancer progression and treatment resistance.

New research reveals that certain brain tumors may originate silently within normal brain cells long before a tumor forms.