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 ...

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 ...

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 ...

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.

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

Spatial transcriptomics is transforming how scientists see biology—literally—by mapping gene activity in its original location inside tissues. From decoding tumor architecture to charting entire ...

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 ...

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

Takara Bio USA, Inc., a wholly owned subsidiary of Takara Bio Inc. ("Takara Bio"), today announced data from a benchmark ...

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 ...