A wave of spatial transcriptomics studies has produced gene-expression atlases that span entire organs and whole organisms, ...

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 ...

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

Researchers developed an analytic framework for spatial-omics data that can help to map biological activity within tumors.

Jasmine Plummer shares the spatial omics techniques she has developed to investigate the cellular processes underlying ...

New spatial transcriptomics approach combined with machine learning maps gene expression across whole mouse body sections, ...

Salk researchers used spatial transcriptomics to map where different cell types reside in the mouse brain. Shown are excitatory neurons (left, blue), inhibitory neurons (middle, red), and non-neuronal ...

Mount Sinai researchers have published the first organ-wide human skin spatial atlas from across the body. It provides an ...

Foundation models (FMs), which are deep learning models pretrained on large-scale data and applied to diverse downstream ...

A new single-cell atlas shows how epigenetic changes reshape brain cells during aging, revealing genomic instability, ...