← BioTransfer GEO Dataset Finder
GEO series

KMT2C deficiency enhances HSC mobilization and granulocyte bias in response to G-CSF

GSE243869 Mus musculus (mouse) Single-cell RNA-seq 78 samples Submitted 2024/07/11 Platform GPL34328Platform GPL24247Platform GPL17021
At a glance

Single-cell RNA-seq · mouse · 78 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
Mus musculus (mouse)
Samples
78 samples: 19 conditions, mostly with about 4 replicates eachGroups 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
Kmt2c restricts G-CSF-driven HSC mobilization and granulocyte production in a methyltransferase-independent mannerCell reports · 2024
Summary (written by the submitters)
single cell RNA-seq/CITE-seq analysis of bone marrow cells from wild type and Kmt2c-deleted mice
Published in
Kmt2c restricts G-CSF-driven HSC mobilization and granulocyte production in a methyltransferase-independent manner
Wang HC, Chen R, Yang W et al. · Cell reports 2024 · PMID 39046877 · doi:10.1016/j.celrep.2024.114542
This dataset
Open GSE243869 in finder → Find more mouse 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 GSE243869_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 PRJNA1020192 and SRA study SRP462753. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39046877) ↗
Study design
19 conditions, mostly with about 4 replicates each
2868300_wt_GMP_H3K4me1 ×4 SR004261_H3K4me1_ko_GCSF ×4 SR004261_H3K4me1_ko_PBS ×4 SR004261_H3K4me1_wt_GCSF ×4 SR004261_H3K4me1_wt_PBS ×4 SR004261_H3K27ac_ko_GCSF ×4 SR004261_H3K27ac_ko_PBS ×4 SR004261_H3K27ac_wt_GCSF ×4 +17 more

Supports a between-group comparison across 72 samples.

How we read this: 19 replicated groups read from 78 sample titles; they account for 72 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.

Samples in this study

+ 38 more — browse all 78 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.