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Dissecting AP-1 complexity in hepatic health and disease using Genetically Modified Mice

GSE269844 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2024/11/21 Platform GPL13112
At a glance

RNA-seq (gene expression) · mouse · 12 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
12 samples: 12 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
c-Jun and Fra-2 pair up to Myc-anistically drive HCCCell cycle (Georgetown, Tex.) · 2024
Summary (written by the submitters)
Hepatocellular carcinoma (HCC) is a leading cause of cancer-related death with limited, while treatment options. Thus, a better understanding of the molecular pathways involved in HCC development has become a priority to guide future therapies. While previous studies implicated the AP-1 (Fos/Jun) transcription factor family members c-Fos and c-Jun in HCC formation, the contribution of Fos-related antigens 1 and 2 (Fra-1/2) is unknown.
Read the full summary ↓
Here we analyse the transcriptional consequences of hepatocyte-restricted expression of Fra-1 and Fra-2 proteins in the liver of young adult mice during 2 months by bulk RNA-seq.
Published in
c-Jun and Fra-2 pair up to Myc-anistically drive HCC
Bakiri L, Wagner EF · Cell cycle (Georgetown, Tex.) 2024 · PMID 39581891 · doi:10.1080/15384101.2024.2429968
This dataset
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.

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 GSE269844_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1124002 and SRA study SRP513928. Searching any of these in the dataset finder brings you back here.

Study design
12 samples, each with a distinct title — no replicated groups

Supports a case/control comparison: 6 samples read as cases, 6 as controls.

How we read this: Read from 12 sample titles: 12 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
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.