The neuronal architecture of autonomic dysreflexia
Single-nucleus RNA-seq · mouse · 13 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). 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
- 13 samples: 5 conditions, mostly in triplicateGroups 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.
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 GSE256423_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 PRJNA1079390 and SRA study SRP491248. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 13 samples.
How we read this: 5 replicated groups read from 13 sample titles; they account for 13 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.
- GSM8098382 L6_AD1 L6_AD
- GSM8098383 L6_AD2 L6_AD
- GSM8098384 L6_AD3 L6_AD
- GSM8098385 L6_SCI1 L6_SCI
- GSM8098386 L6_SCI2 L6_SCI
- GSM8098387 L6_SCI3 L6_SCI
- GSM8098388 T12_AD1 T12_AD
- GSM8098389 T12_AD2 T12_AD
- GSM8098390 T12_AD3 T12_AD
- GSM8098391 T12_SCI3 T12_SCI
- GSM8098392 T12_SCI4 T12_SCI
- GSM8098393 T12_STIM1 T12_STIM
- GSM8098394 T12_STIM2 T12_STIM
- GSE341480 Spatiotemporal Clonal Architecture of the Newborn Mouse Forebrain 186 samples shares architecture
- GSE312903 Connectome-seq: High-throughput Mapping of Neuronal Connectivity at Single-Synapse Resolution via Barcode Sequencing [snRNA-seq, ssRNA-seq] 47 samples shares neuronal
- GSE285978 Connectome-seq: High-throughput Mapping of Neuronal Connectivity at Single-Synapse Resolution via Barcode Sequencing 46 samples shares neuronal
- GSE306262 Astrocyte glucocorticoid receptor signaling restricts neuronal plasticity [RNA-seq] 40 samples shares neuronal
- GSE302604 Chronic intermittent hypoxia mimicking sleep apnea reshapes the liver circadian metabolic architecture 36 samples shares architecture
- GSE253693 Pivotal Role of the NuRD Complex in Remodeling Chromatin Environment and Maintaining Genome Architecture at CTCF Sites [mESC_d0246_DMSO_BPK25_IAA_RNA_Seq] 36 samples shares architecture
- GSE297344 Analysis of a BCOR internal tandem duplication in mouse embryonic stem cell to neuronal precursor differentiation 30 samples shares neuronal
- GSE240857 Hmgb2 improves astrocyte to neuron conversion by increasing the chromatin accessibility of genes associated with neuronal maturation in a proneuronal factor-dependent manner[RNA-Seq] 29 samples shares neuronal
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.