Summary: Researchers developed “Core2Edge,” an advanced ex vivo human tissue model that replicates the invasive spread and ...

Progress in molecular neuroscience depends as much on the questions we ask as on the tools we have to answer them. Over the ...

Spatial transcriptomics provides a unique perspective on the genes that cells express and where those cells are located. However, the rapid growth of the technology has come at the cost of ...

Scientists used GAGE-seq (genome architecture and gene expression by sequencing), a technique that measures both gene expression and physical contacts in the same single cell.

While such advances bring with them a breadth of knowledge, the immense complexity of the datasets makes it challenging for scientists to analyze them using current computational methods. Now, ...

Salk researchers used spatial transcriptomics to map where different cell types reside in the mouse brain. Shown are excitatory neurons (left, blue), inhibitory neurons (middle, red), and non-neuronal ...

Spatial transcriptomics data analysis increasingly depends on artificial intelligence (AI) to convert raw, location-tagged gene expression readings into a usable map of tissue biology. Unlike ...

Glioblastoma is a malignant brain tumor and is among the most aggressive cancers in humans. Despite multimodal therapy with ...