Baf155 establishes chromatin priming to promote hematopoietic regeneration and function [single cell multiome - ATAC + GEX]
Single-cell RNA-seq · mouse · 12 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Mus musculus (mouse)
- Samples
- 12 samples: 12 samples, each with a distinct title — no replicated groupsGroups 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
- Baf155 controls hematopoietic differentiation and regeneration through chromatin primingCell reports · 2024
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 GSE240583_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 PRJNA1004272 and SRA study SRP454584. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 12 sample titles: 12 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.
- GSM7703025 day11_KO_5FU - ATAC
- GSM7703026 day11_KO_5FU - GEX
- GSM7703027 day9_KO_rep2_5FU - ATAC
- GSM7703028 day9_KO_rep2_5FU - GEX
- GSM7703029 day9_KO_rep3_5FU - ATAC
- GSM7703030 day9_KO_rep3_5FU - GEX
- GSM7703031 day11_WT_5FU - ATAC
- GSM7703032 day11_WT_5FU - GEX
- GSM7703033 day9_WT_rep2_5FU - ATAC
- GSM7703034 day9_WT_rep2_5FU - GEX
- GSM7703035 day9_WT_rep3_5FU - ATAC
- GSM7703036 day9_WT_rep3_5FU - GEX
- GSE294772 Single-Cell Epigenomics Uncovers Heterochromatin Instability and Transcription Factor Dysfunction during Mouse Brain Aging [snATAC-Seq] [10X Multiome] 142 samples shares atac, chromatin, multiome
- GSE334540 Single nucleus multiome (RNAseq and ATACseq) of male and female mouse pituitary 32 samples shares atac, multiome
- GSE276656 Gene expression + ATAC multiome profiling of mPFC engram cells after OSK partial reprogramming 20 samples shares atac, multiome
- GSE264229 Mapping the male mouse chromatin accessibility landscape by UUATAC-seq 33 samples shares atac, chromatin
- GSE294103 SIRT6 Overexpression Counteracts Chromatin Aging [ATAC-Seq_tg] 28 samples shares atac, chromatin
- GSE249077 Mapping the female mouse chromatin accessibility landscape by UUATAC-seq 23 samples shares atac, chromatin
- GSE233039 The H3K9me3 heterochromatin integrity and function are sustained by H3K9me3 methyltransferases-HP1 dependencies [ATAC-Seq] 18 samples shares atac, chromatin
- GSE306916 Efferocytosis induces proangiogenic function and chromatin remodeling in tumor-associated macrophages [ATAC-seq] 12 samples shares atac, chromatin
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.