Gene expression profile at single cell level of phenotypic LT-HSCs from single-mutant JAK2 V617F and double mutant JAK2 V617F;Dnmt3a-/- mice
Single-cell RNA-seq · mouse · 16 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Mus musculus (mouse)
- Samples
- 16 samples: 16 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
- Loss of Dnmt3a increases self-renewal and resistance to pegIFN-α in JAK2-V617F-positive myeloproliferative neoplasmsBlood · 2024
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 GSE225918_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA938038 and SRA study SRP424112. 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 16 sample titles: 16 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.
- GSM7060364 DM_V, cDNA
- GSM7060365 WT_V, cDNA
- GSM7060366 VFDM_V, cDNA
- GSM7060367 VF_IFN, cDNA
- GSM7060368 DM_IFN, cDNA
- GSM7060369 VF_V, cDNA
- GSM7060370 VFDM_IFN, cDNA
- GSM7060371 WT_IFN, cDNA
- GSM7060372 VF_V, HTO
- GSM7060373 VF_IFN, HTO
- GSM7060374 WT_IFN, HTO
- GSM7060375 VFDM_V, HTO
- GSM7060376 VFDM_IFN, HTO
- GSM7060377 WT_V, HTO
- GSM7060378 DM_IFN, HTO
- GSM7060379 DM_V, HTO
- GSE255253 Effects of the treatment with pegIFNa, Azacytidine or pegIFNa+Azacytidine in LT-HSCs from JAK2-V617F MPN mice or JAK2-V617F;Dnmt3a-KO MPN mice. 31 samples shares dnmt3a, v617f, jak2, lt-hscs
- GSE278496 HiJAKing the hematopoietic system: a low-frequency JAK2V617F clone drives myeloproliferative neoplasm pathology 43 samples shares v617f, jak2
- GSE308233 JAK2V617F Myeloproliferative Neoplasms Support Parallel Evolution of Independent Leukemic Clones 16 samples shares v617f, jak2
- GSE215455 JAK2V617F-dependent clonal hematopoiesis drives vascular resident macrophages toward a pathogenic phenotype and promotes dissecting aortic aneurysm 10 samples shares v617f, jak2
- GSE225394 ZRSR2-loss causes aberrant splicing in a JAK2V617F-driven myeloproliferative neoplasm but is not sufficient to drive disease progression I. 9 samples shares v617f, jak2
- GSE284784 Loss of Socs2 improves molecular responses to IFNα in a mouse model of myeloproliferative neoplasms driven by JAK2-V617F 8 samples shares v617f, jak2
- GSE269568 JAK2V617F Impairs Lymphoid Differentiation in Myeloproliferative Neoplasms 5 samples shares v617f, jak2
- GSE229318 DUSP1 deletion is synthetic lethal to JAK2V617F induced MPN 3 samples shares v617f, jak2
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.