Ex vivo long-term expansion of human hematopoietic stem and progenitor cells as a tool for modeling vector integration sites and clonality
Single-cell RNA-seq · human · 10 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
- Organism
- Homo sapiens (human)
- Samples
- 10 samples: 7 distinct titles, 1 of them repeatedGroups 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
- Ex vivo long-term expansion of human hematopoietic stem and progenitor cells as a tool for modeling vector integration sites and clonalityJournal of translational medicine · 2026
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 GSE318863_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 PRJNA1420732 and SRA study SRP675812. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 10 sample titles: 7 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.
- GSM9504949 Pool1
- GSM9504950 Pool2.2
- GSM9504951 Pool1 HTO
- GSM9504952 Pool2.2 HTO
- GSM9504953 Pool 1
- GSM9504954 Pool 2
- GSM9504955 Pool 3
- GSM9504956 Pool 1 HTO
- GSM9504957 Pool 2 HTO
- GSM9504958 Pool 3 HTO
- GSE326276 Inhibition of inflammation and senescence with azole compound C7 enables expansion of hematopoietic stem and progenitor cells 45 samples shares hematopoietic, progenitor, expansion
- GSE253910 PriOmics: integration of high_throughput proteomic data with complementary omics layers using mixed graphical modeling with group priors 360 samples shares integration, modeling
- GSE328457 Pooled combinatorial screening identifies transcription factor sets that drive hematopoietic progenitor-like cell fate 39 samples shares hematopoietic, progenitor
- GSE336962 Advancing probabilistic risk assessment of perfluorooctanoic acid through integration of in vitro data and physiologically based toxicokinetic modeling coupled with population-specific analysis 36 samples shares integration, modeling
- GSE322893 Transcriptomic Analysis of Potency Associated Genes in Hematopoietic Stem and Progenitor Cells 27 samples shares hematopoietic, progenitor
- GSE298576 Mass generation and long-term expansion of hepatocyte organoids from adult primary hepatocytes 24 samples shares long-term, expansion
- GSE267423 In vivo gene editing of human hematopoietic stem and progenitor cells using envelope-engineered virus-like particles 11 samples shares hematopoietic, progenitor
- GSE263204 Single cell transcription profiles of hematopoietic stem and progenitor cells from Beta thalassemia transfusion dependent patients in steady state condition 10 samples shares hematopoietic, progenitor
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.