<HashMap><database>biostudies-arrayexpress</database><scores/><additional><submitter>Nils Welsh</submitter><organism>Homo sapiens</organism><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/E-MTAB-17592</full_dataset_link><description>EndoC-betaH1 cells were cultured at standard conditions for 6h with or without 10 microM imatinib or 125 nM dasatinib. Cells were then used for total RNA isolation, and the RNA was sequenced by eurofinsgenomics.eu. Three replicates from each group was analyzed. Both imatinib and dasatinib are BCR-Abl inhibitors, but differ in tyrosine kinase inhibitory profile. The aim of the study was to see If the EndoC-betaH1 cell Transcriptome is affected differently by the two inhibitors.</description><repository>biostudies-arrayexpress</repository><sample_protocol>Nucleic Acid Extraction - Total RNA from control, imatinib and dasatinib-treated EndoC-betaH1 cells (3 x 106) was isolated using the RNeasy mini kit (Qiagen, Germantown, MD, USA).</sample_protocol><sample_protocol>Sample Collection - Cells were washed three times with cold PBS and then lysed.</sample_protocol><sample_protocol>Sample Treatment - Cells were treated for 6 hours with 10 microM imatinib or 125 nM dasatinib.</sample_protocol><sample_protocol>Library Construction - Total RNA was used for RNA transcriptome analysis employing the Illumina next-generation sequencing technique (INVIEW Transcriptome Discover RNA Seq, Eurofins Genomics, Ebersberg, Germany).</sample_protocol><sample_protocol>Growth Protocol - EndoC-betaH1 cells were cultured in DMEM supplemented with 2%BSA, 5.6 mM glucose, 2 mM glutamine, 50 microM beta-mercaptoethanol, 10 mM nicotinamide, selenium and transferrin and antibiotics.</sample_protocol><sample_protocol>Sequencing - The performer was INVIEW Transcriptome Discover RNA Seq, Eurofins Genomics, Ebersberg, Germany. Illumina NovaSeq 6000 was used. More than 30 million reads per sample were sequenced. Results, expressed as counts per million (CPM), were filtered for genes with an average expression above 10 reads.</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 - Gene wise quantification is achieved by inspecting transcriptome alignments using RSEM[7] tool. Using just the number of reads mapped to a transcript as a proxy for the transcript’s expression level, leads to the problem that the origin of some reads cannot always be uniquely determined. If two or more distinct transcripts in a particular sample share some common sequence (for example, if they are alternatively spliced mRNAs or mRNAs derived from paralogous genes), then sequence alignment may not be sufficient to discriminate the true origin of reads mapping to these transcripts. One approach to addressing this issue involves discarding these multiple-mapped reads (multireads for short) entirely. Another involves partitioning and distributing portions of a multiread’s</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 NovaSeq 6000</instrument_platform><study_type>RNA-seq of coding RNA</study_type><species>Homo sapiens</species><pubmed_authors>Nils Welsh</pubmed_authors></additional><is_claimable>false</is_claimable><name>RNA-seq of human EndoC-betaH1 cells treated with imatinib or dasatinib</name><description>EndoC-betaH1 cells were cultured at standard conditions for 6h with or without 10 microM imatinib or 125 nM dasatinib. Cells were then used for total RNA isolation, and the RNA was sequenced by eurofinsgenomics.eu. Three replicates from each group was analyzed. Both imatinib and dasatinib are BCR-Abl inhibitors, but differ in tyrosine kinase inhibitory profile. The aim of the study was to see If the EndoC-betaH1 cell Transcriptome is affected differently by the two inhibitors.</description><dates><release>2026-09-21T00:00:00Z</release><modification>2026-09-21T01:00:38.302Z</modification><creation>2026-09-06T14:49:44.017Z</creation></dates><accession>E-MTAB-17592</accession><cross_references><ENA>ERP205245</ENA><EFO>EFO_0002944</EFO><EFO>EFO_0004170</EFO><EFO>EFO_0003789</EFO><EFO>EFO_0005518</EFO><EFO>EFO_0003816</EFO><EFO>EFO_0003738</EFO><EFO>EFO_0004184</EFO><EFO>EFO_0003969</EFO></cross_references></HashMap>