The genotype-integrated gene expression profile at the single-cell level of bone marrow CD34-positive hematopoietic stem and progenitor cells (HSPCs) from a patient with myelodysplastic neoplasms (MDS) harboring germline and somatic DDX41 variants.
Single-cell RNA-seq · human · 1 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Homo sapiens (human)
- Topic
- Myelodysplastic syndromesThis series is part of our curated briefing on it.
- Samples
- 1 samples
- 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
- Genotype-integrated single-cell transcriptome analysis reveals the role of DDX41 pR525H in a patient with myelodysplastic neoplasmsScientific reports · 2025
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 GSE284647_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 PRJNA1199993 and SRA study SRP552332. Searching any of these in the dataset finder brings you back here.
The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.
+ 1 more — browse all 1 samples with per-sample file links →
- GSE245452 Single-cell transcriptional profile of CD34+ hematopoietic progenitor cells from del(5q) Myelodysplastic Syndromes and impact of lenalidomide 7 samples same disease briefing · shares myelodysplastic, hematopoietic, single-cell, progenitor
- GSE298729 Chromatin accessibility of hematopoietic stem/progenitor cells (HSPCs) derived from MDS patients before and after disease progression 2 samples same disease briefing · shares mds, hematopoietic, progenitor
- GSE211032 Expression Analysis (RNA-Seq) of adult Myelodysplastic Syndromes (MDS)/Acute Myeloid Leukemia (AML) with isolated monosomy 7 compared to controls 45 samples same disease briefing · shares mds, myelodysplastic
- GSE31174 Affymetrix SNP array data for myelodysplastic syndromes (MDS) and related neoplasms 58 samples same disease briefing · shares mds, myelodysplastic
- GSE293014 Identifying clones in myelodysplastic syndromes by using single-cell RNA sequencing 11 samples same disease briefing · shares myelodysplastic, single-cell
- GSE228278 Diagnosing recipient- vs. donor-derived posttransplant myelodysplastic neoplasm via targeted single-cell mutational profiling 4 samples same disease briefing · shares myelodysplastic, single-cell
- GSE278230 Single-cell sequencing identifies characteristics of disease and bone marrow in concurrent multiple myeloma and myelodysplastic syndrome 4 samples same disease briefing · shares myelodysplastic, single-cell
- GSE264117 Investigating microenvironment in MDS II 503 samples same disease briefing · shares mds
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.