What it is
In this study, we generated a deep single-cell and spatial multi-omic atlas of human glioblastoma that pairs transcriptomic, epigenomic and genomic profiling of 12 tumours across many regions. We identify that glioblastoma heterogeneity is driven by spatially patterned transitions of cancer cells from developmental-like states towards those defined by a glial injury response and hypoxia.
Every metric behind this entry is listed, with its source, under Sources and data below.
Filed underSingle-cell and spatial transcriptomics, Glioma Diagnosis and Treatment, Cancer Genomics and Diagnostics