Comprehensive Molecular and Functional Analysis of NUTM1-Rearranged Leukemia [leukemia-RNA-seq]
RNA-seq (gene expression) · mouse · 12 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Mus musculus (mouse)
- Samples
- 12 samples: 12 samples, each with a distinct title — no replicated groupsGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
- Paper
- Comprehensive molecular and functional analysis of NUTM1-rearranged leukemiaBlood · 2026
Read the full summary ↓
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE276679_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA1158689 and SRA study SRP531471. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 12 sample titles: 12 distinct titles with little repetition. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM8504060 B6_WT_1 [leukemia-RNA-seq]
- GSM8504061 B6_WT_2 [leukemia-RNA-seq]
- GSM8504062 B6_WT_3 [leukemia-RNA-seq]
- GSM8504063 BN1_1 [leukemia-RNA-seq]
- GSM8504064 BN1_2 [leukemia-RNA-seq]
- GSM8504065 BN1_3 [leukemia-RNA-seq]
- GSM8504066 MA9_1 [leukemia-RNA-seq]
- GSM8504067 MA9_2 [leukemia-RNA-seq]
- GSM8504068 MA9_3 [leukemia-RNA-seq]
- GSM8504069 ME_1 [leukemia-RNA-seq]
- GSM8504070 ME_2 [leukemia-RNA-seq]
- GSM8504071 ME_3 [leukemia-RNA-seq]
- GSE276675 Comprehensive Molecular and Functional Analysis of NUTM1-Rearranged Leukemia [ATAC-Seq] 12 samples shares nutm1-rearranged, leukemia
- GSE249732 Antigen experience history directs distinct functional states of CD8+ CAR T cells during the anti-leukemia response [RNA-seq] 30 samples shares leukemia
- GSE281486 Antigen experience history directs distinct functional states of CD8+ CAR T cells during the anti-leukemia response 24 samples shares leukemia
- GSE276311 Two mutations associated with leukemia that change a single tyrosine residue in the STAT5B SH2 domain have opposite effects on the transcriptional programs controlling hematopoiesis [RNA-seq] 61 samples shares leukemia
- GSE296507 Longitudinal single cell RNA-sequencing reveals evolution of micro- and macro-states in chronic myeloid leukemia 53 samples shares leukemia
- GSE218858 Hyperactive STAT5 Hijacks T-Cell Receptor Signaling and Drives Immature T-Cell Acute Lymphoblastic Leukemia 51 samples shares leukemia
- GSE240460 Molecular Plasticity Results in Oncofetal Reprogramming and Therapeutic Vulnerabilities in Juvenile Myelomonocytic Leukemia 6 samples shares leukemia
- GSE261767 BPDCN MYB Fusions Regulate Cell Cycle Genes, Impair Differentiation and Induce Myeloid-Dendritic Cell Leukemia [HoxRNASeq] 46 samples shares leukemia
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.