A wave of spatial transcriptomics studies has produced gene-expression atlases that span entire organs and whole organisms, from mouse embryos to the roundworm C. elegans to 31 human tissues. These ...

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 and gene expression analysis represent a transformative approach in biomedical research, integrating the spatial context of tissues with high-resolution profiling of gene ...

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 ...

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 ...

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.

A team of researchers has constructed the most detailed single-cell map of the adult human prostate to date, cataloging more ...

Illumina has announced the development of an advanced spatial transcriptomics technology, with commercial availability expected in 2026. This next-generation solution is designed to enhance ...

Andreas Pfenning discusses the techniques being developed and used to study neuronal heterogeneity and the therapeutic potential of his work.