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 (ST) technologies reveal the spatial organization of gene expression in tissues, providing critical insights into development, neurobiology, and cancer. However, the high cost ...

Researchers have developed two innovative tools to help us delve deeper into cell communication, offering spatial insight ...

Capturing spatial information is essential to elucidate how cells function and interact within their native tissue environment. However, the initial spatial transcriptomics techniques have several ...

The global spatial biology market is projected to grow at a compound annual growth rate (CAGR) of approximately 15% over the ...

Initially, cells are dissociated from liver tissues into single-cell suspensions using in vivo enzymatic perfusion or ex vivo digestion methods. The cells of interest are then enriched from the ...

A technology that combines transcriptomic data and AI enables a novel approach to drug discovery based on the state of cells, how they behave and which genes they express. The Drugreflector model, ...