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Role of ATF4 in regulation of kidney gene expressions, signaling pathways and functions [mouse]

GSE291047 Mus musculus (mouse) RNA-seq (gene expression) 17 samples Submitted 2025/06/25 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 17 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
17 samples
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
Deletion of the transcription factor ATF4 in a model of clear cell renal cell carcinomaNeoplasia (New York, N.Y.) · 2025
Summary (written by the submitters)
Activating transcription factor 4 (ATF4) is a transcription factor that mediates the response to stress at the cellular, tissue, and organism level. We deleted the gene encoding ATF4 in the kidney proximal tubules of the wild type (WT) and TRACK (TRAnsgenic model of Cancer of the Kidney (TRACK)) mice by using a temporal and cell type-specific approach.
Read the full summary ↓
We show that ATF4 plays a major role in regulating the transcriptome and proteome, which, in turn, influences the metabolome and kidney functions. ATF4 deletion changed transcripts of some transporters responsible for nutrient uptake and waste excretion. It modulates metabolisms of fatty acid and glucose in the mouse model of ccRCC. It also changes metabolism in RCC4 cells. These data indicate that ATF4 plays an important role in regulation of kidney functions.
Published in
Deletion of the transcription factor ATF4 in a model of clear cell renal cell carcinoma
Chi Y, Chikara S, Aguila EMD et al. · Neoplasia (New York, N.Y.) 2025 · PMID 40472739 · doi:10.1016/j.neo.2025.101188
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 GSE291047_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 PRJNA1231460 and SRA study SRP567824. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 17 more — browse all 17 samples with per-sample file links →

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