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The NRF2 inducer CDDO-2P-Im provokes a reduction in amyloid beta levels in Alzheimer’s disease model mice

GSE271154 Mus musculus (mouse) RNA-seq (gene expression) 43 samples Submitted 2024/09/09 Platform GPL28457
At a glance

RNA-seq (gene expression) · mouse · 43 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
43 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.
Summary (written by the submitters)
Alzheimer’s disease (AD) is the most common etiology of dementia. The transcription factor NF-E2-related factor 2 (NRF2) induces the expression of genes encoding phase II detoxification and antioxidant genes. NRF2 is regulated by Kelch-like ECH-associated protein 1 (KEAP1), and the KEAP1-NRF2 system is the key regulatory system involved in cytoprotection.
Read the full summary ↓
To examine whether pharmacological induction of NRF2 expression alleviates AD phenotypes in vivo, we employed two AD mouse models, i.e., AppNL-G-F/NL-G-F (AppNLGF) and APPV717I::TAUP301L (APP/TAU) mice. As the synthetic oleanane triterpenoid 1-[2-cyano-3,12-dioxooleana-1,9(11-dien-28-oyl)] (CDDO)-4(-pyridin-2-yl)-imidazole (CDDO-2P-Im) exhibits strong NRF2-inducing activity, in this study, we treated AD model mice with CDDO-2P-Im.
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 GSE271154_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 PRJNA1130088 and SRA study SRP517137. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 43 more — browse all 43 samples with per-sample file links →

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