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Inactivation of histone chaperone HIRA unmasks a link between normal embryonic development of melanoblasts and maintenance of adult melanocyte stem cells (RNA-Seq)

GSE267432 Mus musculus (mouse) RNA-seq (gene expression) 20 samples Submitted 2025/06/11 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 20 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Mus musculus (mouse)
Samples
20 samples: 5 conditions, mostly with about 4 replicates eachGroups 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.
Summary (written by the submitters)
Evidence indicates that the integrity of in utero embryonic development can influence late life healthy or unhealthy aging. However, specific links between embryonic development and late life aging are not well defined. Histone chaperone HIRA is thought to play a role in both early development and aging. Here, we explore the relationship between HIRA’s roles in development and aging by comparing lineage-specific constitutive and conditional Hira knock out in the murine pigmentary system, with constitutive knock out initiated during embryogenesis and conditional knock out in young adults.
Read the full summary ↓
Embryonic Hira knockout leads to reduced melanoblast numbers during embryogenesis but wild type numbers of differentiated melanocytes at birth, normally functioning juvenile and young adult melanocyte stem cells (McSCs), and only a very mildly hypopigmented first hair coat. However, on closer analysis of these mice, Hira knockout melanocytic cells of newborn mice exhibit molecular markers characteristic of cell aging and proliferative deficits. As they age, mice with Hira knock out initiated during embryogenesis display marked defects in McSC maintenance and premature hair graying. Importantly, these defects are only observed when HIRA is inactivated during embryogenesis, but not in young adults. This genetic model shows that HIRA function during early development lays a foundation for subsequent maintenance of adult tissue specific stem cells during aging.
This dataset
Open GSE267432 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 GSE267432_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1111507 and SRA study SRP507605. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
5 conditions, mostly with about 4 replicates each
melb-a cells, parental biol ×4 melb-a cells, lenti- shLuciferase biol ×4 melb-a cells, lenti- shScramble biol ×4 melb-a cells, lenti- shHIRA I biol ×4 melb-a cells, lenti- shHIRA II biol ×4

Supports a between-group comparison across 20 samples.

How we read this: 5 replicated groups read from 20 sample titles; they account for 20 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.

Samples in this study
Datasets on a similar topic

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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.