Fei Chen and Chenlei Hu at the Broad Institute of MIT and Harvard have developed a new imaging-free spatial transcriptomics technology that tracks the diffusion of DNA barcodes between beads in an ...

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 ...

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 ...

PALO ALTO, Calif.--(BUSINESS WIRE)--Curio Bioscience today announced it has commenced commercial operations with the launch of Curio Seeker, the world’s first high-resolution, whole-transcriptome ...

Spatial transcriptomics (ST) has revolutionized biomedical research by enabling scientists to measure gene expression while ...

This figure shows how the STAIG framework can successfully identify spatial domains by integrating image processing and contrastive learning to analyze spatial transcriptomics data effectively.

Knowing the location of a gene within intact tissue or a single cell allows scientists to unlock unknown cellular functions. This information is often lost in most genetic sequencing techniques, but ...

Computational assessment identifies probe binding errors in a widely used commercial platform for spatial transcriptomics.

The advent of single-cell omics technologies has revolutionized our understanding of the complex cellular landscape in cancer. Traditional bulk sequencing ...