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

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 ...

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

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.

Knowing the location of a gene within intact tissue or a single cell allows scientists to unlock unknown cellular functions. This information is often lost in most genetic sequencing techniques, but ...

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

Called SOAR (Spatial transcriptOmics Analysis Resource), the now-live platform is a one-stop shop that helps scientists explore how genes behave differently in various parts of the body, shows them ...

Study shows GM gene-edited rice is not “substantially equivalent” to the parental non-edited rice. Report: Claire Robinson and Prof Michael Antoniou ...

A single-cell atlas of brain aging epigenetics has mapped methylation, chromatin, and gene activity changes across 36 cell ...

Strapped with an extra APP, people with Down’s syndrome are all but destined to develop Alzheimer’s dementia if they live past middle age. Compared with sporadic forms of the disease, DSAD starts ...