This Collection supports and amplifies research related to SDG 3 - Ensure healthy lives and promote well-being for all at all ages. Cancer research has hugely benefitted from the growth in single-cell ...

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 ...

Interpretation is the discipline through which molecular datasets reveal their significance. As the life sciences enter a new era defined by data richness and technological capacity, interpretive ...

Single-cell sequencing is useful for a number of applications. For example, it can reveal cellular heterogeneity inside complex tissues, such as tumors. It can also provide information about how ...

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 ...

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 ...

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 ...

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 ...

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