Spatial transcriptomics now spans two fundamentally different measurement strategies, and the choice between them shapes every downstream result a lab will generate. Sequencing-based platforms capture ...

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 ...

A team of Vanderbilt researchers has released a new benchmarking study that aims to assist scientists in selecting the most effective methods for analyzing spatial transcriptomics (ST) data. ST ...

Biological tissues are made up of different cell types arranged in specific patterns, which are essential to their proper functioning. Understanding these spatial arrangements is important when ...

Spatial transcriptomics technologies opened the door for new kinds of biological measurements, allowing scientists to generate detailed maps of where genes are expressed in tissue. But most methods ...

The field of spatial transcriptomics utilizes technologies that map gene expression data to specific cellular locations within tissues. While traditional RNA sequencing methods generate quantitative ...

A team of Harvard scientists and global collaborators has advanced spatial profiling technologies with a new workflow called ...

A new RNA search engine can scan millions of cells in seconds for mutations, pathogens, isoforms and other biological clues.

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 ...

Ovarian clear cell carcinoma (OCCC) has a higher prevalence among East Asian women and is characterized by poor clinical ...