Three-dimensional patient-derived models of glioblastoma retain intra-tumoral heterogeneity

The intra- and inter- tumoral heterogeneity of glioblastoma represents a significant therapeutic challenge, as well as difficulty in generating reliable models for in vitro studies. Here, we quantify the tumor cell composition from matched patient-derived neurospheres (PDN) and organoids (PDO) established from the same primary tumor using a series of multi-omic interrogations, relative to primary tissue

Type: Other
Archiver: European Genome-Phenome Archive (EGA)

3 Datasets

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Dataset ID	Description	Technology	Samples
EGAD00001015609	Mapping of runs back to samples for PDN, PDO and TIS snRNASeq data. 4 sets of matched PDN, PDO and TIS samples (12 unique samples total) underwent pooled snRNASeq (Parse Biosciences). 2 sublibraries were created from this and sequenced at separate times	Illumina NovaSeq X	2
EGAD00010002744	4 sets of matched patient-derived-organoids (PDOs),Â -neurospheres (PDNs), and parent glioblastoma tissue (12 samples total) underwent SNP array analysis. 200ng of each sample DNA extracted via a commercial kit (Qiagen) and loaded onto theÂ Global Screening Array v2.0 array. Data is provided as raw red and green .idat files.	Illumina Global Screening Array v2.0	12
EGAD00010002745	3 sets of matched patient-derived-organoids (PDOs),Â -neurospheres (PDNs), and parent glioblastoma tissue (9 samples total) underwent methylation array analysis. 200ng of each sample DNA extracted via a commercial kit (Qiagen) and loaded onto the Illumina EPIC v2.0 array. Data is provided as raw red and green .idat files.	Illumina EPIC v2.0	9