New computational approach increases accessibility to single-cell tumor profiling to improve treatment outcomes

To improve therapies for cancer and other diseases, researchers strive to identify tissue-specific therapeutic targets and diagnostic biomarkers in every patient. Identifying specific targets and biomarkers can be achieved by analyzing the cellular composition of tumors at the single-cell level. Although tissue profiling technologies such as single-cell RNA and single-nuclei RNA sequencing provide cell-type-specific information at unprecedented resolution, their implementation has technical and financial challenges that prevent their widespread adoption in clinical settings.