10X Genomics Multiome Assay (GEX + ATAC) of hypothalamic preoptic area in prenatally androgenized and control prepubertal female mice.
Single-cell RNA-seq · mouse · 16 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
- 16 samples: 16 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.
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 GSE318722_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 PRJNA1419840 and SRA study SRP675282. 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 16 sample titles: 16 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.
- GSM9501347 VEH_1_ATAC
- GSM9501348 VEH_2_ATAC
- GSM9501349 VEH_3_ATAC
- GSM9501350 VEH_4_ATAC
- GSM9501351 PNA_1_ATAC
- GSM9501352 PNA_2_ATAC
- GSM9501353 PNA_3_ATAC
- GSM9501354 PNA_4_ATAC
- GSM9501355 VEH_1_RNA
- GSM9501356 VEH_2_RNA
- GSM9501357 VEH_3_RNA
- GSM9501358 VEH_4_RNA
- GSM9501359 PNA_1_RNA
- GSM9501360 PNA_2_RNA
- GSM9501361 PNA_3_RNA
- GSM9501362 PNA_4_RNA
- GSE294772 Single-Cell Epigenomics Uncovers Heterochromatin Instability and Transcription Factor Dysfunction during Mouse Brain Aging [snATAC-Seq] [10X Multiome] 142 samples shares atac, 10x, multiome
- GSE334540 Single nucleus multiome (RNAseq and ATACseq) of male and female mouse pituitary 32 samples shares atac, multiome
- GSE293881 Single cell 10X Genomics Multiome Analysis of H3.3K4M Mutant Brain Samples 32 samples shares 10x, multiome
- GSE276656 Gene expression + ATAC multiome profiling of mPFC engram cells after OSK partial reprogramming 20 samples shares atac, multiome
- GSE321762 Vascular smooth muscle cell state trajectories mediate molecular mechanisms of coronary disease risk [scRNA-seq and scATAC-seq] 54 samples shares atac
- GSE252551 Disease-associated astrocyte epigenetic memory promotes CNS pathology [ATAC-Seq and RNA-Seq] 32 samples shares atac
- GSE264164 RNA-seq and ATAC-seq of follicular B cells and germinal center B cells with a conditional deletion of Brwd1 23 samples shares atac
- GSE290258 Satb1 directs the differentiation of TH17 cells through suppression of IL-2 expression [scMultiom ATAC/RNA-seq] 12 samples shares atac
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.