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 wave of spatial transcriptomics studies has produced gene-expression atlases that span entire organs and whole organisms, ...

Parse Biosciences, a QIAGEN company and the leading provider of scalable and accessible single-cell sequencing solutions, today announced the commercial availability of Evercode™ Whole Transcriptome ...

A team of researchers has constructed the most detailed single-cell map of the adult human prostate to date, cataloging more ...

A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to ...

Single cell gene expression studies often rely on single-cell RNA sequencing (scRNA-seq) alone. While scRNA-seq reveals which genes are turned on, it does not capture protein expression or changes to ...

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 ...

Foundation models (FMs), which are deep learning models pretrained on large-scale data and applied to diverse downstream ...

Andreas Pfenning discusses the techniques being developed and used to study neuronal heterogeneity and the therapeutic potential of his work.