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

A team of Vanderbilt researchers has released a new benchmarking study that aims to assist scientists in selecting the most effective methods for analyzing spatial transcriptomics (ST) data. ST ...

Single-cell transcriptomics has revolutionized the study of cellular diversity and function by enabling gene expression analysis at single-cell resolution. The technique is crucial for understanding ...

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 ...

Researchers reveal the intricate molecular landscape of triple-negative breast cancer (TNBC), uncovering actionable spatial archetypes and gene signatures that pave the way for personalized therapies ...

Spatial transcriptomics revealed hidden cellular patterns in cardiac allograft rejection. Read more about the study.

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 ...

Spatial transcriptomics quality control (QC) determines whether a costly assay produces trustworthy biology or an expensive pile of noise. Because both sequencing- and imaging-based platforms are ...