<HashMap><database>biostudies-arrayexpress</database><scores/><additional><submitter>Pasqualino de Antonellis</submitter><organism>Mus musculus</organism><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/E-MTAB-15292</full_dataset_link><description>We have employed single cell RNA sequencing using the 10x Genomics platform to study the molecular mechanisms underlying resistance to treatment. In clinically relevant mouse models of G3 medulloblastoma, CT-guided fractionated radiotherapy was given to induce the clonal selection of radioresistant subpopulations. Comparison of recurrent and treatment naïve tumors revealed a prognostic gene expression signature reflective of radio-resistance.</description><repository>biostudies-arrayexpress</repository><sample_protocol>Nucleic Acid Extraction - Approximately 10,000–16,000 tissue dissociated viable cells were loaded per sample on the Chromium Controller for encapsulation into gel beads-in-emulsion (GEMS) for reverse transcription of barcoded RNA.</sample_protocol><sample_protocol>Library Construction - Dynabead clean-up, PCR amplification and SPRIselect bead clean-up were carried out using the Chromium Single Cell 3' Gel Bead kit. Indexed single-cell libraries were generated using the Chromium Single Cell 3' Library kit and the Chromium i7 Multiplex kit.</sample_protocol><sample_protocol>Sequencing - Each 10X library was subjected to quality control using the Agilent 2100 Bioanalyzer system and sequenced using the Illumina sequencing platform by The Centre for Applied Genomics.</sample_protocol><sample_protocol>Sample Collection - Fresh tumor tissues were resected under a stereoscope at endpoint. PDX tumor tissues were mechanically and enzymatically dissociated using a collagenase-based dissociation method.</sample_protocol><figure_sub>Organization</figure_sub><figure_sub>MINSEQE Score</figure_sub><figure_sub>Assays and Data</figure_sub><figure_sub>MAGE-TAB Files</figure_sub><data_protocol>Data Transformation - Human single-cell datasets were normalized using methods derived from the Scran pipeline and size factors were calculated and applied to normalize gene expression, generating normalized log-expression values for each dataset.</data_protocol><omics_type>Unknown</omics_type><omics_type>Transcriptomics</omics_type><omics_type>Genomics</omics_type><omics_type>Proteomics</omics_type><instrument_platform>Illumina NovaSeq 6000</instrument_platform><instrument_platform>Chromium Controller</instrument_platform><study_type>RNA-seq of coding RNA from single cells</study_type><species>Mus musculus</species><pubmed_authors>Pasqualino de Antonellis</pubmed_authors><pubmed_authors>Michael Taylor</pubmed_authors><pubmed_authors>Maria Vladoiu</pubmed_authors><pubmed_authors>Cory Richman</pubmed_authors></additional><is_claimable>false</is_claimable><name>Modelling group 3 medulloblastoma post radiotherapy</name><description>We have employed single cell RNA sequencing using the 10x Genomics platform to study the molecular mechanisms underlying resistance to treatment. In clinically relevant mouse models of G3 medulloblastoma, CT-guided fractionated radiotherapy was given to induce the clonal selection of radioresistant subpopulations. Comparison of recurrent and treatment naïve tumors revealed a prognostic gene expression signature reflective of radio-resistance.</description><dates><release>2025-07-10T00:00:00Z</release><modification>2025-07-10T17:09:43.57Z</modification><creation>2025-06-30T21:02:14.42Z</creation></dates><accession>E-MTAB-15292</accession><cross_references><ENA>ERP174339</ENA><EFO>EFO_0002944</EFO><EFO>EFO_0004170</EFO><EFO>EFO_0005684</EFO><EFO>EFO_0005518</EFO><EFO>EFO_0003816</EFO><EFO>EFO_0004184</EFO></cross_references></HashMap>