Summary from the GEO: "Genetic and epigenetic intra-tumoral heterogeneity cooperate to shape the evolutionary course of cancer. In addition to genetic mutations, chronic lymphocytic leukemia (CLL) undergoes diversification through stochastic DNA methylation changes – epimutations. To measure the epimutation rate at single-cell resolution, we applied multiplexed reduced representation bisulfite sequencing...

Summary from the dbGaP: "The somatic genetic basis of chronic lymphocytic leukemia (CLL), a common and clinically heterogenous adult leukemia, remains poorly understood. Massively parallel sequencing technology now provides a method for systematic discovery of genetic alterations that underlie disease, and for uncovering new therapeutic targets and biomarkers. We present a dataset consisting of DNA...

Summary from the GEO: "Cancer evolution is fueled by genetic and epigenetic diversity, and intra-tumoral heterogeneity in DNA methylation has been shown to co-operate with genetic heterogeneity to empower evolutionary capacity of cancers such as chronic lymphocytic leukemia. Here, we show that epigenetic diversification leads to decreased coordination across layers of epigenetic information, likely...

Dataset Summary Description: "The Angiosarcoma Project is an ongoing patient-driven initiative. This archived Angiosarcoma Project dataset was analyzed in the linked Nature Medicine 2020 manuscript, and is derived from 48 samples from 36 angiosarcoma patients. Angiosarcoma tumor specimens (FFPE) were subjected to whole-exome sequencing (along with matched germline whole-exome sequencing). In addition...

Dataset Summary Description: "This provisional dataset is currently derived from 83 samples, including tumor specimens (FFPE and cfDNA) from 62 angiosarcoma patients subjected to WES (along with matched germline WES). This study includes genomic data, patient-reported data (pre-pended as PRD), medical record data (MedR), and pathology report data (PATH). As these data were generated in a research...