This SuperSeries is composed of the SubSeries listed below.
Overall design: Refer to individual Series
Accession | PRJNA1041875; GEO: GSE248183 |
Type | Umbrella project |
Publications | Savary C et al., "Fusion-negative rhabdomyosarcoma 3D organoids to predict effective drug combinations: A proof-of-concept on cell death inducers.", Cell Rep Med, 2023 Dec 19;4(12):101339 |
Submission | Registration date: 17-Nov-2023 Cancer Research Center of Lyon |
Relevance | Superseries |
Project Data:
Resource Name | Number of Links |
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Sequence data |
SRA Experiments | 46 |
Publications |
PubMed | 1 |
PMC | 1 |
Other datasets |
BioSample | 46 |
GEO DataSets | 5 |
GEO Data DetailsParameter | Value |
---|
Data volume, Spots | 19710375 |
Data volume, Processed Mbytes | 642 |
Data volume, Supplementary Mbytes | 573 |
SRA Data DetailsParameter | Value |
---|
Data volume, Gbases | 359 |
Data volume, Tbytes | 0.11 |
Modeling the next-generation of rhabdomyosarcoma organoids to predict effective drug combinations encompasses the following 4 sub-projects:
Project Type | Number of Projects |
Epigenomics | 1 |
BioProject accession | Organism | Title |
---|
PRJNA1041882 | Homo sapiens | Modeling the next-generation of rhabdomyosarcoma organoids to predict effective drug combinations [methylation] (Cancer Research Center of...) |
|
Other | 1 |
BioProject accession | Organism | Title |
---|
PRJNA1041881 | Homo sapiens | Modeling the next-generation of rhabdomyosarcoma organoids to predict effective drug combinations [Exome panel] (Cancer Research Center of...) |
|
Transcriptome or Gene expression | 2 |
BioProject accession | Organism | Title |
---|
PRJNA1041880 | Homo sapiens | Modeling the next-generation of rhabdomyosarcoma organoids to predict effective drug combinations [RNAseq] (Cancer Research Center of...) | PRJNA1041883 | Homo sapiens | Modeling the next-generation of rhabdomyosarcoma organoids to predict effective drug combinations [scRNAseq] (Cancer Research Center of...) |
|