Using single-cell sequencing and spatial tools, researchers have created the most comprehensive map of the maternal–fetal interface yet.

The South Korean spatial biology company unveils new AI agents, foundation models, and spatial biomarkers for oncology drug ...

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

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

Adelaide University is leading the international Wheat Spatial Omics Consortium (WSOC) of more than 30 institutions in nine ...

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

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 ...

A large-scale effort to map epigenetic changes in the aging brain is offering an unprecedented view into how molecular processes evolve over time. By integrating multiple layers of genomic and spatial ...

Hepatocellular carcinoma (HCC) is a highly heterogeneous malignancy characterized by marked cellular and spatial diversity within the tumor microenvironment (TME). The transforming growth factor-β ...

Here, we present Randomized Spatial PCA (RASP), a novel spatially aware dimensionality reduction method for spatial transcriptomics (ST) data. RASP is designed to be orders-of-magnitude faster than ...

The rapid development of spatial transcriptomics (ST) technologies has greatly advanced the understanding of gene expression, tissue architecture, cellular composition, and disease mechanisms within ...