Single-nucleus multiomic profiling of hippocampus and frontal cortex in a C9orf72 knockout mouse model
Single-nucleus RNA-seq · mouse · 52 samples
- What it is
- Single-nucleus RNA-seqGene activity measured in individual nuclei (used when whole cells are hard to isolate, for example from frozen tissue).
- Organism
- Mus musculus (mouse)
- Samples
- 52 samples: 52 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 GSE333807_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 PRJNA1469843 and SRA study SRP703205. 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 52 sample titles: 52 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.
- GSM9773643 hippo_WT4 snRNA-seq
- GSM9773644 hippo_WT3 snRNA-seq
- GSM9773645 hippo_WT2 snRNA-seq
- GSM9773646 hippo_WT1 snRNA-seq
- GSM9773647 hippo_KO4 snRNA-seq
- GSM9773648 hippo_KO3 snRNA-seq
- GSM9773649 hippo_KO2 snRNA-seq
- GSM9773650 hippo_KO1 snRNA-seq
- GSM9773651 hippo_HET4 snRNA-seq
- GSM9773652 hippo_HET3 snRNA-seq
- GSM9773653 hippo_HET2 snRNA-seq
- GSM9773654 hippo_HET1 snRNA-seq
- GSM9773655 fctx_WT6 snRNA-seq
- GSM9773656 fctx_WT5 snRNA-seq
- GSM9773657 fctx_WT4 snRNA-seq
- GSM9773658 fctx_WT3 snRNA-seq
- GSM9773659 fctx_WT2 snRNA-seq
- GSM9773660 fctx_KO4 snRNA-seq
- GSM9773661 fctx_KO3 snRNA-seq
- GSM9773662 fctx_KO2 snRNA-seq
- GSM9773663 fctx_KO1 snRNA-seq
- GSM9773664 fctx_HET7 snRNA-seq
- GSM9773665 fctx_HET6 snRNA-seq
- GSM9773666 fctx_HET5 snRNA-seq
- GSM9773667 fctx_HET3 snRNA-seq
- GSM9773668 fctx_HET2 snRNA-seq
- GSM9773669 hippo_WT4 snATAC-seq
- GSM9773670 hippo_WT3 snATAC-seq
- GSM9773671 hippo_WT2 snATAC-seq
- GSM9773672 hippo_WT1 snATAC-seq
- GSM9773673 hippo_KO4 snATAC-seq
- GSM9773674 hippo_KO3 snATAC-seq
- GSM9773675 hippo_KO2 snATAC-seq
- GSM9773676 hippo_KO1 snATAC-seq
- GSM9773677 hippo_HET4 snATAC-seq
- GSM9773678 hippo_HET3 snATAC-seq
- GSM9773679 hippo_HET2 snATAC-seq
- GSM9773680 hippo_HET1 snATAC-seq
- GSM9773681 fctx_WT6 snATAC-seq
- GSM9773682 fctx_WT5 snATAC-seq
+ 12 more — browse all 52 samples with per-sample file links →
- GSE331524 Transcriptomic analysis of hippocampus and prefrontal cortex in a mouse model of chronic radiation-induced gastrointestinal injury 12 samples shares hippocampus, frontal, cortex
- GSE313497 Cell-specific effects of acute sleep deprivation on transcriptomic signatures of non-neuronal cells in the mouse hippocampus and prefrontal cortex 11 samples shares hippocampus, frontal, cortex
- GSE267831 Single-nucleus multiomic profiling of mouse substantia nigra across age 16 samples shares single-nucleus, multiomic
- GSE288206 Single-nucleus multiomics of murine gonads reveals gene-regulatory networks underlying sex determination 24 samples shares single-nucleus, multiomic
- GSE306583 Developmental trajectory of the mouse transcriptome following placental allopregnanolone insufficiency in the somatosensosry cortex, hippocampus and cerebellum 175 samples shares hippocampus, cortex
- GSE277487 Single-nucleus RNA-seq of mouse cortex following CCI-induced traumatic brain injury across multiple time points 12 samples shares single-nucleus, cortex
- GSE250633 A high-fidelity CRISPR-Cas13 system improves abnormalities associated with C9ORF72-linked ALS/FTD 27 samples shares c9orf72
- GSE291440 GA-Camk2a mouse RNAseq data for the manuscript by Rezaei et al: Correction of dysregulated lipid metabolism normalizes gene expression in oligodendrocytes and prolongs lifespan in female poly-GA C9orf72 mouse model 21 samples shares c9orf72
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.