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 ...

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 ...

Spatial transcriptomics is a cutting-edge technique that characterizes gene expression within sections of tissue, such as heart, skin or liver tissue. These snapshots provide insights into how spatial ...

The liver is remarkable for its ability to regenerate after injury, yet when this process fails, acute liver failure (ALF) carries devastating outcomes. Traditional research methods, reliant on bulk ...

In a recent study published in the journal Nature, researchers developed spatial aging clocks using single-cell transcriptomics to explore cell-type-specific interactions and their impact on brain ...

“If you have a machine—for example, a bike—all the different components of the bike would need to be fit in the right places for them to function,” said Lambda Moses, a computational biologist at ...

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 ...

Noetik, an AI-native biotech company leveraging self-supervised machine learning and high-throughput spatial data to develop next-generation cancer therapeutics, announced today a technical report ...

Comprehensive Genomic Characterization of Congenital and Infantile Cancers Reveals High Yield of Medically Meaningful Findings Colorectal cancer (CRC) ranks third in global incidence and second in ...

This eBook cuts through the complexity of spatial techniques, featuring a series of interviews with pioneers in the field, and peer-reviewed research from the Taylor & Francis journal portfolio. This ...