<HashMap><database>biostudies-arrayexpress</database><scores/><additional><submitter>Thorsten Klampfl</submitter><organism>Mus musculus</organism><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/E-MTAB-15478</full_dataset_link><description>To examine transcriptional differences in thymic double negative (DN) T cells between wildtype (WT), NPM-ALK(Tg/+) and NPM-ALK(Tg/+)Cdk6-/-Stat5b-/- mice, single-cell RNA sequencing (scRNA-seq) was performed on fluorescence-activated cell sorted (FACS) DN T cells. The aim was to understand how genetic alterations in the NPM-ALK(Tg/+) and NPM-ALK(Tg/+)Cdk6-/-Stat5b-/- backgrounds influence early T cell development and oncogenic transformation at the transcriptional level.</description><repository>biostudies-arrayexpress</repository><sample_protocol>Library Construction - Libraries were generated using the Chromium Next GEM Single Cell 3' Kit v3.1 (10X Genomics), according to the manufacturer’s instructions</sample_protocol><sample_protocol>Nucleic Acid Extraction - Nucleic acid extraction was performed as part of the library construction.</sample_protocol><sample_protocol>Sequencing - Libraries were sequenced on an Illumina NovaSeq 6000 instrument using a 150 bp paired end configuration.</sample_protocol><sample_protocol>Sample Collection - Thymic cells were isolated from three female C57BL/6 mice. The thymuses were dissected and processed through a 40 μm filter to obtain single-cell suspensions. Cells were stained and sorted by flow cytometry, excluding CD19⁺ (B cells), Ter119⁺ (erythroid cells), Ly6G/C⁺ (granulocytes), CD11b⁺ (myeloid cells), CD4⁺ and CD8⁺ (mature T cells), while selecting for Thy1.2⁺ cells. This strategy ensured enrichment for early thymic progenitors in the double negative stage.</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 - raw_feature_bc_matrix files (*matrix.mtx.gz) as well as corresponding *features.tsv.gz and *barcodes.tsv.gz were generated using the default Cell Ranger v7.0.0 (10x Genomics) workflow.</data_protocol><data_protocol>Sequence Alignment - Raw sequencing reads were processed with the Cell Ranger v7.0.0 software (10x Genomics) for demultiplexing and counting using the mm10 version 3.0.0 reference data and default parameters.</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 from single cells</study_type><species>Mus musculus</species><pubmed_authors>Karoline Kollmann</pubmed_authors><pubmed_authors>Thorsten Klampfl</pubmed_authors><pubmed_authors>Jonatan Kendler</pubmed_authors></additional><is_claimable>false</is_claimable><name>Single cell RNA-seq to investigate transcriptional profiles of thymic double negative T cells in WT, NPM-ALK(Tg/+) and NPM-ALK(Tg/+)Cdk6-/-Stat5b-/-  mice</name><description>To examine transcriptional differences in thymic double negative (DN) T cells between wildtype (WT), NPM-ALK(Tg/+) and NPM-ALK(Tg/+)Cdk6-/-Stat5b-/- mice, single-cell RNA sequencing (scRNA-seq) was performed on fluorescence-activated cell sorted (FACS) DN T cells. The aim was to understand how genetic alterations in the NPM-ALK(Tg/+) and NPM-ALK(Tg/+)Cdk6-/-Stat5b-/- backgrounds influence early T cell development and oncogenic transformation at the transcriptional level.</description><dates><release>2026-07-24T00:00:00Z</release><modification>2026-07-24T11:08:49.594Z</modification><creation>2025-08-12T21:40:55.775Z</creation></dates><accession>E-MTAB-15478</accession><cross_references><ENA>ERP178702</ENA><EFO>EFO_0002944</EFO><EFO>EFO_0004170</EFO><EFO>EFO_0005684</EFO><EFO>EFO_0004917</EFO><EFO>EFO_0005518</EFO><EFO>EFO_0003816</EFO><EFO>EFO_0004184</EFO></cross_references></HashMap>