Spatial Biology – News and Features

Self-supervised AI could offer a promising approach for analyzing 20 million cells or more.

Pathogen-fighting immune cells go through a surprising transformation and relocation as they fight infections in the gut.

A contact protein printing technique enables researchers to control the formation of villi in human gut models, making it possible to study key cellular processes and disease-associated changes.

Combining long-read DNA sequencing with a predictive artificial intelligence model has provided new insights into DNA replication.

New insights into fibrolamellar hepatocellular carcinoma could lead to new drugs and significantly improved health outcomes.

Garvan Institute researchers discovered how chronic hepatitis C virus (HCV) infections lead to autoimmune diseases like cryoglobulinemic vasculitis. By identifying rogue B cell clones caused by persistent antibody clustering and mutations.

A machine learning algorithm has been developed to deliver more accurate results from single-cell gene expression database analysis.

Salk researchers reveal PRIMER cells as central to plant immune defense, coordinating responses to pathogens in collaboration with neighboring "bystander" cells. Using advanced cell profiling, they uncovered the transcription factor GT-3a.

A new framework has used neural network training dynamics to interpret single-cell and spatial omics data.

St. Jude researchers reveal that moderate levels of mitochondrial DNA mutations boost leukemia growth by increasing metabolic plasticity, while high mutation levels shut down tumor development.