<HashMap><database>biostudies-arrayexpress</database><scores/><additional><submitter>Lluis Hernandez</submitter><organism>Homo sapiens</organism><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/E-MTAB-17232</full_dataset_link><description>RNAseq was performed on 3 primary CLL paired samples with LINC00152 silencing vs Scrambled controls either growing in presence of a mix of micorenvironment- related agonist factor mix and Ibrutinib drug, as in a control (DMSO) medium without such factors/drug.</description><repository>biostudies-arrayexpress</repository><sample_protocol>Growth Protocol - Cells were seeded in a growth medium (RPMI1640, 10%FBS, with  IL-2 (1.54 ng/mL) and CpG-ODN (0.38 mg/mL) to avoid spontaneous apoptosis.</sample_protocol><sample_protocol>Sample Collection - Cryopreserved samples were thawed and purified with EasySep™ Human B Cell Enrichment Kit II (StemCell Technologies) to obtain ≥85–90% tumor purity</sample_protocol><sample_protocol>Sample Treatment - Paired treatments included DMSO vs agonist mix (as in Jayappa et al:PMID29034364), with CpG-ODN20006 (InvivoGen), Mega-CD40L (Enzo Biosciences), and IL-10 (Peprotech), and also including Ibrutinib (1μM). On both treatments silencing of LINC00152 was performed using two Locked Nucleic Acid (LNA) Gapmers (Exiqon) vs Scrambled control gapmer treatment, 1 μM Gapmer each for 3 days.</sample_protocol><sample_protocol>Sequencing - Libraries were sequenced using a NextSeq2000 (Illumina, Inc.) in paired-end mode with a read length of 2×50 bp. More than 50 milions of paired-end reads were obtained for each sample/condition</sample_protocol><sample_protocol>Library Construction - Stranded mRNA libraries have been generated from 100 ng of total RNA using the Illumina® Stranded mRNA Prep Ligation kit (following the manufacturer’s instructions).</sample_protocol><sample_protocol>Nucleic Acid Extraction - Total RNA extraction protocol was performed with RNeasy Plus mini kit (Qiagen)</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>Sequence Alignment - The high throughput sequence alignment protocol was performed using the tool Kallisto.</data_protocol><data_protocol>Data Transformation - The normalization data transformation protocol used was performed with the DESeq2 workflow</data_protocol><omics_type>Metabolomics</omics_type><omics_type>Unknown</omics_type><omics_type>Transcriptomics</omics_type><omics_type>Genomics</omics_type><omics_type>Proteomics</omics_type><instrument_platform>Illumina HiSeq 2000</instrument_platform><study_type>RNA-seq of coding RNA</study_type><species>Homo sapiens</species><pubmed_title>LINC00152 is a lncRNA modulated by microenvironmental stimuli that has pathogenetic and clinical relevance in CLL</pubmed_title><pubmed_authors>Lluis Hernandez</pubmed_authors><pubmed_authors>Tamara Bittolo, Riccardo Bomben, Cristina Martínez-Muñoz, Ruslana Shadrina, Robel Papotti, Filippo Vit, Federico Pozzo, Darío Romero, Amani Dhiflaoui, Patricia Fernández-Guzmán, Blanca De Moner, Núria Vilardell-Timoneda, Ian Márquez-López,  Ariadna Giró, Ares Martínez-Farran, Ruth Orellana, Virginia Amador, Ferran Nadeu, Juan A. Piñeyroa, Dolors Colomer, Julio Delgado, Sílvia Beà, Elias Campo, Valter Gattei, Lluís Hernández</pubmed_authors></additional><is_claimable>false</is_claimable><name>Microenvironment-related long non-coding RNAs (LINC00152) in CLL</name><description>RNAseq was performed on 3 primary CLL paired samples with LINC00152 silencing vs Scrambled controls either growing in presence of a mix of micorenvironment- related agonist factor mix and Ibrutinib drug, as in a control (DMSO) medium without such factors/drug.</description><dates><release>2026-08-15T00:00:00Z</release><modification>2026-08-15T15:10:53.193Z</modification><creation>2026-06-24T13:42:13.369Z</creation></dates><accession>E-MTAB-17232</accession><cross_references><ENA>ERP195677</ENA><EFO>EFO_0002944</EFO><EFO>EFO_0004170</EFO><EFO>EFO_0003789</EFO><EFO>EFO_0004917</EFO><EFO>EFO_0005518</EFO><EFO>EFO_0003816</EFO><EFO>EFO_0003738</EFO><EFO>EFO_0004184</EFO><EFO>EFO_0003969</EFO></cross_references></HashMap>