Single-cell RNA-sequencing methods have become a mainstay tool for cancer researchers. Techniques like CITE-Seq can analyze the expression patterns of large sets of mRNAs and proteins in hundreds or thousands of cells at a time. However, these techniques are hampered by high running costs and incompatibility with formalin-fixed, paraffin-embedded tissues for full transcriptome analysis. Crucially, these techniques also come at the loss of spatial context, and hence do not characterize the tissue microenvironment.
Codex technology from Akoya Biosciences, Menlo Park, Calif, combines the advantages of single-cell biology with histology at single-cell spatial resolution. Capable of imaging more than 40 biomarkers on a single tissue, Codex enables analysis with both high dimensionality and spatial context.
Codex data are multidimensional in that they contain single-cell antibody labeling intensities for up to 40 biomarkers, along with spatial coordinates for thousands of cells per dataset. The accompanying multiplex analysis viewer software has sophisticated built-in analysis tools that enable researchers to analyze their datasets.
To read more, visit Akoya.
