Asxl1 mutation enhances differentiation in CSF3R-mutated myeloproliferative neoplasms [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: 3 × Empty/Empty vs 3 × Empty/T618I vs 3 × Asxl1-MT2/Empty vs 3 × Asxl1-MT2/T618IGroups 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
- Dual ASXL1 and CSF3R mutations drive myeloid-biased stem cell expansion and enhance neutrophil differentiationBlood advances · 2025
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 GSE266091_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 PRJNA1105863 and SRA study SRP504588. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 4 replicated groups read from 12 sample titles; they account for 12 of them. 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.
- GSM8240371 Empty/Empty_1 Empty/Empty
- GSM8240372 Empty/Empty_2 Empty/Empty
- GSM8240373 Empty/Empty_3 Empty/Empty
- GSM8240374 Empty/T618I_1 Empty/T618I
- GSM8240375 Empty/T618I_2 Empty/T618I
- GSM8240376 Empty/T618I_3 Empty/T618I
- GSM8240377 Asxl1-MT2/Empty_1 Asxl1-MT2/Empty
- GSM8240378 Asxl1-MT2/Empty_2 Asxl1-MT2/Empty
- GSM8240379 Asxl1-MT2/Empty_3 Asxl1-MT2/Empty
- GSM8240380 Asxl1-MT2/T618I_1 Asxl1-MT2/T618I
- GSM8240381 Asxl1-MT2/T618I_2 Asxl1-MT2/T618I
- GSM8240382 Asxl1-MT2/T618I_3 Asxl1-MT2/T618I
- GSE266090 Asxl1 mutation enhances differentiation in CSF3R-mutated myeloproliferative neoplasms [Cut & Tag] 32 samples shares asxl1, myeloproliferative, csf3r-mutated, neoplasms, mutation, enhances
- GSE266087 Asxl1 mutation enhances differentiation in CSF3R-mutated myeloproliferative neoplasms [ATAC-Seq] 12 samples shares asxl1, myeloproliferative, csf3r-mutated, neoplasms, mutation, enhances
- GSE266848 Decoding Endothelial MPL and JAK2V617F Mutation: Insight into Cardiovascular Dysfunction in Myeloproliferative Neoplasms 2 samples shares myeloproliferative, neoplasms, mutation
- GSE276811 Fructose feeding on Asxl1-mutant clonal hematopoiesis [single-cell RNA-seq] 12 samples shares asxl1, rna-seq
- GSE208054 Inhibition of lysine demethylase 6B blocks the development of ASXL1 truncation-mediated myeloid malignancies [RNA-seq] 12 samples shares asxl1, rna-seq
- GSE279601 Clonal Haematopoiesis-related Mutant ASXL1 Promotes Atherosclerosis in Mice via Dysregulated Innate Immunity [scRNA-seq] 4 samples shares asxl1, rna-seq
- GSE269568 JAK2V617F Impairs Lymphoid Differentiation in Myeloproliferative Neoplasms 5 samples shares myeloproliferative, neoplasms
- GSE228995 Cross-Talk between Haematopoietic Cells and Stromal cells Subsets Drives the Remodelling of the Bone Marrow Microenvironment in Myeloproliferative Neoplasms 22 samples shares myeloproliferative, neoplasms
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.