

The advent of single-cell RNA sequencing technologies has provided unprecedented opportunities for the analysis of transcriptomes at single-cell resolution, allowing researchers to explore cell-to-cell variability. Now, researchers have developed a tool for the analysis and identification of RNA isoforms from single-cell RNA sequencing data.
Cervical cancer disproportionately affects women in sub-Saharan Africa where it is the most common cancer-related mortality and has disease rates higher than any other region in the world (1). Yet studies of the disease have predominantly focused on non-African populations.
An international team of researchers, in work led by Canada’s Michael Smith Genome Sciences Centre (GSC) at BC Cancer, have now published an analysis of the genomic characteristics of cervical cancers in Ugandan women.