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Single cell RNA-sequencing (scRNA-seq) of the human hematopoietic stem cell compartment (CD34+CD38-CD45RA-)

GSE148884 Homo sapiens (human) Single-cell RNA-seq 4 samples Submitted 2021/03/25 Platform GPL16791
At a glance

Single-cell RNA-seq · human · 4 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)
Samples
4 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.
Summary (written by the submitters)
To identify a trajectory of human hematopoietic stem cell (HSC) activation we performed scRNAseq of CD34+CD38—CD45RA—cells from G-CSF-mobilized peripheral blood from 3 donors. We show that INKA1 and CDK6/PAK4 expressing single cells segregate across alternative states of quiescence.
This dataset
Open GSE148884 in finder → Find more human RNA-seq datasets →
Download · which file do I need?

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.

1 · Just have a look

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.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE148884_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

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.

Raw reads on ENA ↗

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 PRJNA626341. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Samples in this study

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+ 4 more — browse all 4 samples with per-sample file links →

Datasets on a similar topic

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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.