Tag: Spatial transcriptomics

A new computational framework called CSI-TME infers prognostic interactions between cell states in the tumor microenvironment from bulk RNA-seq data, ...

A new spatially guided metabolomics approach maps overlapping metabolic regions in liver tumors and reveals that over half of bulk-detected ...

Researchers in Japan and Italy have developed Domain Elastic Transform, a training-free computational method that aligns spatial transcriptomics maps using ...

A multi-omics study maps lactate-glycolysis activity in lung adenocarcinoma to fibroblasts and neutrophils, revealing spatially organized metabolic niches linked to ...

A multi-omics study finds that LDL cholesterol metabolism reshapes macrophages and tumor cells in head and neck squamous cell carcinoma, ...

A new review in Molecular Cancer maps the diverse states of cancer-associated fibroblasts and argues that precisely modulating, rather than ...

A cross-species transcriptomic meta-analysis reveals that the mouse Pax6 interneuron subclass was never missing but mislabeled, while the primate Sncg ...

Researchers have introduced the Spatial Immune Barrier Index, a spatial transcriptomics measure that quantifies the suppressive barrier holding immune cells ...

A new deep learning and agent-based framework called veloAgent integrates tissue spatial context into RNA velocity inference and enables virtual ...

A new deep generative and agent-based framework called veloAgent integrates spatial context into RNA velocity analysis, producing anatomically consistent cell ...