Single-cel RNA-seq of Mouse Olfactory Epithelium for Understanding Age-associated Neuronal Injury Response
Single-cell RNA-seq · mouse · 19 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
- 19 samples: 19 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.
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 GSE173999_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 PRJNA727833 and SRA study SRP318763. 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 19 sample titles: 19 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.
- GSM5284322 un-injured (UI), young, batch 1, 10X chip channel A
- GSM5284323 un-injured (UI), young, batch 1, 10X chip channel B
- GSM5284324 un-injured (UI), old, batch 1, 10X chip channel A
- GSM5284325 un-injured (UI), old, batch 1, 10X chip channel B
- GSM5284326 un-injured (UI), young, batch 2, 10X chip channel A
- GSM5284327 un-injured (UI), young, batch 2, 10X chip channel B
- GSM5284328 un-injured (UI), old, batch 2, 10X chip channel A
- GSM5284329 un-injured (UI), old, batch 2, 10X chip channel B
- GSM5284330 un-injured (UI), young, batch 3, 10X chip channel A
- GSM5284331 un-injured (UI), young, batch 3, 10X chip channel B
- GSM5284332 un-injured (UI), old, batch 3, 10X chip channel A
- GSM5284333 un-injured (UI), old, batch 3, 10X chip channel B
- GSM5284334 24 hours post injury (HPI), young, batch 2, 10X chip channel A
- GSM5284335 24 hours post injury (HPI), young, batch 2, 10X chip channel B
- GSM5284336 24 hours post injury (HPI), old, batch 2, 10X chip channel A
- GSM5284337 24 hours post injury (HPI), old, batch 2, 10X chip channel B
- GSM5284338 24 hours post injury (HPI), young, batch 3, 10X chip channel B
- GSM5284339 24 hours post injury (HPI), old, batch 3, 10X chip channel A
- GSM5284340 24 hours post injury (HPI), old, batch 3, 10X chip channel B
- GSE264278 TIme-cource single-cell RNA-seq analysis of bleomycin and LPS-induced lung injury and fibrosis 18 samples shares single-cel, rna-seq, injury
- GSE277789 Spatiotemporal and genetic cell lineage tracing of endodermal organogenesis at single-cell resolution [Smart-seq3-RNA-seq-add] 830 samples shares single-cel, rna-seq
- GSE166225 Inference of emergent spatio-temporal processes from single-cell sequencing reveals feedback between de novo DNA methylation and chromatin condensates [RNA-seq] 288 samples shares single-cel, rna-seq
- GSE269748 A single-cell atlas deconstructs heterogeneity across multiple models in murine traumatic brain injury and identifies novel cell-specific targets 36 samples shares single-cel, injury
- GSE327967 Transcriptional regulation of the main olfactory epithelium by environmental olfactory exposures 34 samples shares epithelium, olfactory
- GSE300288 Single-cell and spatial transcriptomics analysis of tobacco-associated lung adenocarcinoma development, and in response to targeting inflammation alone or in combination with immune checkpoint blockade in precancerous phase [scRNA-seq] 31 samples shares single-cel, rna-seq
- GSE262879 Single-cell RNA-sequencing of murine pancreatic tumors derived from the orthotopic transplantation of Smad4 wild-type (WT) or Smad4 knockout (KO) pancreatic ductal adenocarcinoma (PDAC) KPC organoids in nu/nu mice. 18 samples shares single-cel, rna-seq
- GSE227108 Integrated single-cell analysis defines the epigenetic basis of castration-resistant prostate luminal cells (scRNA-seq) 18 samples shares single-cel, rna-seq
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.