Transcriptomic profiling of the main olfactory epithelium of the perinatal mouse
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. 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
- 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.
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 GSE341251_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 PRJNA1500003 and SRA study SRP720962. 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.
- GSM9902816 Postnatal day 1 bio replicate 1 (Female)
- GSM9902817 Postnatal day 1 bio replicate 2 (Male)
- GSM9902818 Postnatal day 1 bio replicate 3 (Female)
- GSM9902819 Postnatal day 1 bio replicate 4 (Male)
- GSM9902820 Postnatal day 3 bio replicate 1 (Female)
- GSM9902821 Postnatal day 3 bio replicate 2 (Male)
- GSM9902822 Postnatal day 5 bio replicate 1 (Male)
- GSM9902823 Postnatal day 5 bio replicate 2 (Male)
- GSM9902824 Postnatal day 8 bio replicate 1 (Female)
- GSM9902825 Postnatal day 8 bio replicate 2 (Male)
- GSM9902826 Postnatal day 15 bio replicate 1 (Male)
- GSM9902827 Postnatal day 15 bio replicate 2 (Female)
- GSM9902828 Postnatal day 22 bio replicate 1 (Female)
- GSM9902829 Postnatal day 22 bio replicate 2 (Male)
- GSM9902830 Postnatal day 22 bio replicate 3 (Female)
- GSM9902831 Postnatal day 22 bio replicate 4 (Male)
- GSE327967 Transcriptional regulation of the main olfactory epithelium by environmental olfactory exposures 34 samples shares epithelium, olfactory, main
- GSE173999 Single-cel RNA-seq of Mouse Olfactory Epithelium for Understanding Age-associated Neuronal Injury Response 19 samples shares epithelium, olfactory
- GSE271100 Stem cells tightly regulate dead cell clearance to maintain tissue fitness [scRNA-seq] 1037 samples shares main
- GSE286046 Asymmetric Histone Inheritance Regulates Differential Transcription Re-initiation and Cell Fate Decisions in Mouse Olfactory Horizontal Basal Cells 96 samples shares olfactory
- GSE300113 Heterogenous microglial reactivity contrasts with stable vascular transcriptional programs in mouse models of Alzheimer’s, CADASIL, and Traumatic Brain Injury (Main dataset) 59 samples shares main
- GSE309033 Combined BET Bromodomain and DNMT Inhibition Targets Lineage Plasticity in Prostate Cancer [BETi_DNMTi_mouse_RNAseq] 51 samples shares main
- GSE302188 Multi-omics analysis highlights the link of aging-related cognitive decline with systemic inflammation and alterations of tissue-maintenance 165 samples shares main
- GSE278534 EZHIP-mediated PRC2 inhibition is required to maintain H3K27me3-dependent imprinting post fertilization 76 samples shares main
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.