Mega-scale single-cell profiling reveals novel biomarkers associated with acute GvHD after allogeneic hematopoietic stem cell transplantation
Single-cell RNA-seq · human · 15 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
- 15 samples: 15 × G-CSF mobilized graft and PBMC post-alloHSCT sublibGroups 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
- Mega-scale single-cell profiling reveals novel biomarkers associated with acute GvHD after allogeneic hematopoietic stem cell transplantationBiomarker research · 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 GSE295359_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 PRJNA1254272 and SRA study SRP580608. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 15 samples.
How we read this: 1 replicated groups read from 15 sample titles; they account for 15 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.
- GSM8946498 G-CSF mobilized graft and PBMC post-alloHSCT sublib 1 G-CSF mobilized graft a…
- GSM8946499 G-CSF mobilized graft and PBMC post-alloHSCT sublib 2 G-CSF mobilized graft a…
- GSM8946500 G-CSF mobilized graft and PBMC post-alloHSCT sublib 3 G-CSF mobilized graft a…
- GSM8946501 G-CSF mobilized graft and PBMC post-alloHSCT sublib 4 G-CSF mobilized graft a…
- GSM8946502 G-CSF mobilized graft and PBMC post-alloHSCT sublib 5 G-CSF mobilized graft a…
- GSM8946503 G-CSF mobilized graft and PBMC post-alloHSCT sublib 6 G-CSF mobilized graft a…
- GSM8946504 G-CSF mobilized graft and PBMC post-alloHSCT sublib 7 G-CSF mobilized graft a…
- GSM8946505 G-CSF mobilized graft and PBMC post-alloHSCT sublib 8 G-CSF mobilized graft a…
- GSM8946506 G-CSF mobilized graft and PBMC post-alloHSCT sublib 9 G-CSF mobilized graft a…
- GSM8946507 G-CSF mobilized graft and PBMC post-alloHSCT sublib 10 G-CSF mobilized graft a…
- GSM8946508 G-CSF mobilized graft and PBMC post-alloHSCT sublib 11 G-CSF mobilized graft a…
- GSM8946509 G-CSF mobilized graft and PBMC post-alloHSCT sublib 12 G-CSF mobilized graft a…
- GSM8946510 G-CSF mobilized graft and PBMC post-alloHSCT sublib 13 G-CSF mobilized graft a…
- GSM8946511 G-CSF mobilized graft and PBMC post-alloHSCT sublib 14 G-CSF mobilized graft a…
- GSM8946512 G-CSF mobilized graft and PBMC post-alloHSCT sublib 15 G-CSF mobilized graft a…
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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.