Tag: Spatial transcriptomics

Researchers at Brown University have developed SCIGMA, a deep learning framework that integrates up to five spatial omics modalities across ...

A multi-omics study traces cervical carcinogenesis from normal tissue to invasive cancer and identifies galectin-9-driven immune evasion as a promising ...

A new spatially aware graph-learning framework called PlantCCC prioritizes context-specific ligand–receptor communication patterns in plant spatial transcriptomics.

A new single-cell and spatial transcriptomic atlas reveals that human and mouse adrenal glands differ in their steroid-producing cell states ...

Researchers identified novel PRSS1 trypsinogen variants in IgG4-related disease tissue and linked them to M2 macrophage-driven type 2 immune responses.

Researchers have mapped how senescent kidney cells attract immune cells into localized inflammatory niches and shown that senolytic treatments can ...

By combining single-nucleus RNA sequencing with spatial transcriptomics, researchers have built a detailed spatiotemporal atlas of the postnatal mouse heart, ...

A dual-platform spatial transcriptomics study reveals that obesity reshapes colorectal cancer in two phases, first reprogramming healthy gut epithelium and ...

A deep learning pipeline integrating single-cell and spatial transcriptomics has revealed an OSM-primed neutrophil niche that sustains aggressive mesenchymal tumor ...

Researchers have developed a computational framework that integrates time-series single-cell RNA sequencing with spatial transcriptomics to reconstruct spatiotemporal cell-type redistribution ...