Scientists at Duke-NUS Medical School have developed two powerful computational tools that could transform how researchers ...

Spatial transcriptomics and gene expression analysis represent a transformative approach in biomedical research, integrating the spatial context of tissues with high-resolution profiling of gene ...

Challenges and Prospects. Challenges and prospects faced by spatial transcriptomics itself and its application to the musculoskeletal system. AI Artificial intelligence, FFPE Formalin fixed and ...

Conventional transcriptomic techniques have revealed much about gene expression at the population and single-cell level—but they overlook one crucial factor: spatial context. In musculoskeletal ...

This article explores how researchers are using spatially resolved methods to explore diverse biological processes from ...

Illustration of a spatial imprint of captured transcripts by Nova-ST, along with the localization of binned clustering, for a coronal section of the mouse brain. The illustration below the brain ...

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 ...

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 ...

Stem cells in most organisms typically take cues from adjacent cells. But new research from the Stowers Institute for Medical Research reveals planarian stem cells ignore their nearest neighbors and ...

Single-cell RNA transcriptomics allows researchers to broadly profile the gene expression of individual cells in a particular tissue. This technique has allowed researchers to identify new subsets of ...

The rapid expansion of high-throughput sequencing technologies has generated unprecedented amounts of multi-omics data, ...