<HashMap><database>biostudies-arrayexpress</database><scores/><additional><submitter>Giulia Soldà</submitter><organism>Homo sapiens</organism><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/E-MTAB-15143</full_dataset_link><description>We investigated the RNA  profiles of human glioblastomas by analysing surgical samples from 9 patients. For each patient, paired samples were collected from different two distinct tumor areas -core and periphery- identified by pre-operative MRI. The aim of the experiment was to identify RNAs in the periphery that might drive tumor recurrence after surgery.</description><repository>biostudies-arrayexpress</repository><sample_protocol>Library Construction - Libraries were prepared starting from 200 ng of total RNA with the TruSeq Stranded Total RNA Library Preparation kit (Illumina, San Diego, CA, USA), following the manufacturer’s instruction.</sample_protocol><sample_protocol>Sequencing - Libraries were sequenced as 76-bp paired-end reads on a NextSeq550 platform (Illumina).</sample_protocol><sample_protocol>Sample Collection - Using a neuro-navigation system with pre-surgical MRI, ten patients were resected from IDHwt glioblastoma with tumor sampling both in the tumor core (T1-gadolinium positive area) and the tumor periphery (T2 FLAIR positive but T1-gadolinium negative area)</sample_protocol><sample_protocol>Nucleic Acid Extraction - Total RNA was isolated from 10 paired glioblastoma samples (10 core and 10 periphery samples). Samples were homogenized with a TissueLyser (Qiagen, Hilden, Germany) and loaded on a Maxwell® RSC Instruments (Promega, Madison, WI, USA) for automated RNA extraction with the Maxwell® RSC miRNA Tissue Kit, according to the manufacturer’s instructions.</sample_protocol><figure_sub>Organization</figure_sub><figure_sub>MINSEQE Score</figure_sub><figure_sub>Assays and Data</figure_sub><figure_sub>Processed Data</figure_sub><figure_sub>MAGE-TAB Files</figure_sub><data_protocol>Data Transformation - Quality analysis of the RNAseq data was carried out using the fastp tool (v0.20.0) with the default parameters and using the ‘paired-end’ mode and automatic detection of adapters. The results of the quality analysis were compiled using multiQC (v1.9). RNA-seq data were then processed by aligning reads to the human genome primary assembly (GRCh38)(Gencode v43) using STAR (v2.7.1a) with gene count quantification option (--quantMode GeneCounts) and based on the GTF v43 annotation. Mapping quality was summarized using MultiQC (v1.9).</data_protocol><omics_type>Unknown</omics_type><omics_type>Transcriptomics</omics_type><omics_type>Genomics</omics_type><omics_type>Proteomics</omics_type><instrument_platform>NextSeq 550</instrument_platform><study_type>RNA-seq of total RNA</study_type><species>Homo sapiens</species><pubmed_title>Paired transcriptomics of glioblastoma peripheral and core areas reveals CNTN2 as a potential therapeutic target.</pubmed_title><pubmed_authors>Giulia Soldà</pubmed_authors><pubmed_authors>Marco Rossi</pubmed_authors><pubmed_authors>Thomas Daubon</pubmed_authors><pubmed_authors>Larroquette M, Sarnow K, Meloni M, Rudewicz J, Dartigues B, Epinette E, Guyon J, Larrieu CM, Solda G, Bjerkvig R, Engelhardt J, Martin OCB, Bello L, Nikolski M, Heiland DH, Rossi M, Daubon T.</pubmed_authors></additional><is_claimable>false</is_claimable><name>Paired transcriptomics of glioblastoma peripheral and core areas reveals CNTN2 as a potential therapeutic target</name><description>We investigated the RNA  profiles of human glioblastomas by analysing surgical samples from 9 patients. For each patient, paired samples were collected from different two distinct tumor areas -core and periphery- identified by pre-operative MRI. The aim of the experiment was to identify RNAs in the periphery that might drive tumor recurrence after surgery.</description><dates><release>2026-06-11T00:00:00Z</release><modification>2026-06-11T10:03:19.543Z</modification><creation>2025-05-19T09:48:09.413Z</creation></dates><accession>E-MTAB-15143</accession><cross_references><pubmed>publ-0-lk1j-removable</pubmed><ENA>ERP172707</ENA><EFO>EFO_0002944</EFO><EFO>EFO_0004170</EFO><EFO>EFO_0009653</EFO><EFO>EFO_0005518</EFO><EFO>EFO_0003816</EFO><EFO>EFO_0004184</EFO><doi>10.1016/j.canlet.2026.218552</doi></cross_references></HashMap>