HIRA-mediated H3.3 deposition preserves hepatocyte cell identity during non-proliferative liver aging [RNA-Seq 2]
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 × WT_CRISPR_sgRosa26_female_3weeks vs 5 × WT_CRISPR_sgHIRA_female_3weeks vs 5 × WT_CRISPR_sgRosa26_female_6months vs 5 × WT_CRISPR_sgHIRA_female_6monthsGroups 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
- HIRA-mediated H3.3 deposition preserves hepatocyte cell identity during liver agingResearch square · 2026
Read the full summary ↓
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 GSE324372_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: 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 PRJNA1434510 and SRA study SRP682373. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 20 samples.
How we read this: 4 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.
- GSM9574543 WT_CRISPR_sgRosa26_female_3weeks_rep1 WT_CRISPR_sgRosa26_fema…
- GSM9574544 WT_CRISPR_sgRosa26_female_3weeks_rep2 WT_CRISPR_sgRosa26_fema…
- GSM9574545 WT_CRISPR_sgRosa26_female_3weeks_rep3 WT_CRISPR_sgRosa26_fema…
- GSM9574546 WT_CRISPR_sgRosa26_female_3weeks_rep4 WT_CRISPR_sgRosa26_fema…
- GSM9574547 WT_CRISPR_sgRosa26_female_3weeks_rep5 WT_CRISPR_sgRosa26_fema…
- GSM9574548 WT_CRISPR_sgHIRA_female_3weeks_rep1 WT_CRISPR_sgHIRA_female…
- GSM9574549 WT_CRISPR_sgHIRA_female_3weeks_rep2 WT_CRISPR_sgHIRA_female…
- GSM9574550 WT_CRISPR_sgHIRA_female_3weeks_rep3 WT_CRISPR_sgHIRA_female…
- GSM9574551 WT_CRISPR_sgHIRA_female_3weeks_rep4 WT_CRISPR_sgHIRA_female…
- GSM9574552 WT_CRISPR_sgHIRA_female_3weeks_rep5 WT_CRISPR_sgHIRA_female…
- GSM9574553 WT_CRISPR_sgRosa26_female_6months_rep1 WT_CRISPR_sgRosa26_fema…
- GSM9574554 WT_CRISPR_sgRosa26_female_6months_rep2 WT_CRISPR_sgRosa26_fema…
- GSM9574555 WT_CRISPR_sgRosa26_female_6months_rep3 WT_CRISPR_sgRosa26_fema…
- GSM9574556 WT_CRISPR_sgRosa26_female_6months_rep4 WT_CRISPR_sgRosa26_fema…
- GSM9574557 WT_CRISPR_sgRosa26_female_6months_rep5 WT_CRISPR_sgRosa26_fema…
- GSM9574558 WT_CRISPR_sgHIRA_female_6months_rep1 WT_CRISPR_sgHIRA_female…
- GSM9574559 WT_CRISPR_sgHIRA_female_6months_rep2 WT_CRISPR_sgHIRA_female…
- GSM9574560 WT_CRISPR_sgHIRA_female_6months_rep3 WT_CRISPR_sgHIRA_female…
- GSM9574561 WT_CRISPR_sgHIRA_female_6months_rep4 WT_CRISPR_sgHIRA_female…
- GSM9574562 WT_CRISPR_sgHIRA_female_6months_rep5 WT_CRISPR_sgHIRA_female…
- GSE324284 HIRA-mediated H3.3 deposition preserves hepatocyte cell identity during non-proliferative liver aging [RNA-Seq HIRAKO_1Y] 18 samples shares non-proliferative, hira-mediated, deposition, hepatocyte, preserves, identity, rna-seq, liver
- GSE324283 HIRA-mediated H3.3 deposition preserves hepatocyte cell identity during non-proliferative liver aging [CUT&Tag] 18 samples shares non-proliferative, hira-mediated, deposition, hepatocyte, preserves, identity, liver
- GSE224831 Active repression of cell fate plasticity by PROX1 safeguards hepatocyte identity and prevents liver tumorigenesis [Prox1 OE iHep Timecourse RNA-seq] 16 samples shares hepatocyte, identity, rna-seq, liver
- GSE224830 Active repression of cell fate plasticity by PROX1 safeguards hepatocyte identity and prevents liver tumorigenesis [Prox1 OE iHep Timecourse scRNA-seq] 13 samples shares hepatocyte, identity, rna-seq, liver
- GSE285614 Adipocyte death drives fat redistribution from adipocytes to hepatocytes in steatotic liver disease via S100A8+ macrophages [RNA-seq] 34 samples shares hepatocyte, rna-seq, liver
- GSE309115 Hepatocyte-specific epidermal growth factor receptor (EGFR) deletion attenuates acetaminophen-induced liver injury in mice [RNA-seq AVITI] 24 samples shares hepatocyte, rna-seq, liver
- GSE309117 Hepatocyte-specific epidermal growth factor receptor (EGFR) deletion attenuates acetaminophen-induced liver injury in mice [RNA-seq Illumina] 18 samples shares hepatocyte, rna-seq, liver
- GSE286073 Role of Hepatocyte RIPK1 in Maintaining Liver Homeostasis during Metabolic Challenges [RNA-seq] 10 samples shares hepatocyte, rna-seq, liver
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.