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 ...

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

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 and single-cell RNA sequencing (scRNA-seq) are often framed as rivals, but they answer different questions about the same tissue. Single-cell RNA-seq resolves cell identity at ...

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 ...