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Asymmetric Histone Inheritance Regulates Differential Transcription Re-initiation and Cell Fate Decisions in Mouse Olfactory Horizontal Basal Cells

GSE286046 Mus musculus (mouse) Single-cell RNA-seq 96 samples Submitted 2025/03/26 Platform GPL34290
At a glance

Single-cell RNA-seq · mouse · 96 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
96 samples: 96 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.
Paper
Asymmetric Histone Inheritance Regulates Differential Transcription Re-initiation and Cell Fate Decisions in Mouse Olfactory Horizontal Basal CellsbioRxiv : the preprint server for biology · 2025
Summary (written by the submitters)
Histones, major carriers of epigenetic information, play critical roles in regulating gene expression patterns and cell fate decisions. While asymmetric histone inheritance has been shown to regulate distinct cell fates in Drosophila adult stem cells, its relevance in mammals remains unclear. In this study, we investigated cell division modes and histone inheritance patterns in horizontal basal cells (HBCs) of the mouse olfactory epithelium following injury.
Read the full summary ↓
We found that approximately 40% of telophase HBCs show asymmetric division, with a corresponding asymmetric segregation of histone H4. In primary cultured HBCs, we observed asymmetric cell division accompanied by asymmetric distribution of histones, including H4, H3, and H3.3, but not H2A-H2B. Asymmetric histone segregation leads to asymmetric association of a key ‘stemness’ transcription factor p63 and asynchronous transcription re-initiation during mitotic exit. Single-cell RNA sequencing of paired daughter cells further revealed asymmetric cell fate priming in cultured HBCs. Disruption of asymmetric cell division abolished asymmetric transcription re-initiation, asymmetric histone inheritance in culture HBCs and further caused regeneration defects in OE. These findings reveal the conservation of asymmetric histone inheritance in mammalian adult stem cells and highlight its biological significance in tissue regeneration.
Published in
Asymmetric Histone Inheritance Regulates Differential Transcription Re-initiation and Cell Fate Decisions in Mouse Olfactory Horizontal Basal Cells
Ma B, Yang G, Yao J et al. · bioRxiv : the preprint server for biology 2025 · PMID 40093102 · doi:10.1101/2025.03.02.641101
This dataset
Open GSE286046 in finder → Find more mouse RNA-seq datasets →
Download · which file do I need?

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.

1 · Just have a look

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.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE286046_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

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.

Raw reads on ENA ↗

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 PRJNA1207541 and SRA study SRP555829. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40093102) ↗
Study design
96 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 96 sample titles: 96 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.

Samples in this study

+ 56 more — browse all 96 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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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.