Metabolic diseases remain among the most complex and heterogeneous conditions in modern medicine, presenting a global health challenge that requires innovative therapeutic strategies. Promoting ...

The field of spatial transcriptomics utilizes technologies that map gene expression data to specific cellular locations within tissues. While traditional RNA sequencing methods generate quantitative ...

Cell–cell communication (CCC) enables the complex coordination of cells, forming tissues and organs in multicellular organisms and accomplishing critical biological functions; however, aberrant ...

Despite significant advances in understanding lung development, the intricate cellular interactions and spatial organization of the developing human lung remain incompletely defined. Spatial ...

Discover why animal models fall short in AI drug discovery and how human-first datasets and functional genomics are changing ...

Technological development is key to improving the way hematologic cancer is diagnosed and treated. With this vision, the Josep Carreras Leukemia Research Institute is committed to the creation and ...

Researchers reveal the intricate molecular landscape of triple-negative breast cancer (TNBC), uncovering actionable spatial archetypes and gene signatures that pave the way for personalized therapies ...

Transcriptomics represents a critical discipline in cancer research, enabling comprehensive mapping of gene expression profiles and the identification of fusion genes implicated in tumor development.

A team of Vanderbilt researchers has released a new benchmarking study that aims to assist scientists in selecting the most effective methods for analyzing spatial transcriptomics (ST) data. ST ...

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 ...