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Discovery and Anti-inflammatory Activity of a Cyanobacterial Macrolide Glycoside Targeting the Keap1/Nrf2 Pathway

GSE262850 Homo sapiens (human) RNA-seq (gene expression) 14 samples Submitted 2024/11/06 Platform GPL24247Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 14 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
Homo sapiens (human)
Samples
14 samples: 7 conditions, mostly in duplicateGroups 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
Isolation and Characterization of the Cyanobacterial Macrolide Glycoside Moorenaside, an Anti-Inflammatory Analogue of Aurisides Targeting the Keap1/Nrf2 PathwayJournal of natural products · 2024
Summary (written by the submitters)
We discovered a cyanobacterial macrolide glycoside that contains an α,β-unsaturated carbonyl system a key motif required for the activation of the Keap1/Nrf2−ARE pathway that is involved in the activation of antioxidant and phase II detoxification enzymes. The compound was screened in ARE luciferase reporter gene assay which induced Nrf2 activity at 32 and 10µM.
Read the full summary ↓
Given the established crosstalk between oxidative stress and inflammation, we aimed at investigating the antiinflammatory potential of our compound using RAW264.7 mouse macrophage. We carried RNAseq to capture the effects of the compound on transcript levels and identify additional pathways involved in inflammation that could be modulated. We further evaluated the cytotoxicity of the compound against HCT 116 and carried out RNAseq at the same cell line.
Published in
Isolation and Characterization of the Cyanobacterial Macrolide Glycoside Moorenaside, an Anti-Inflammatory Analogue of Aurisides Targeting the Keap1/Nrf2 Pathway
Al-Awadhi FH, Kokkaliari S, Ratnayake R et al. · Journal of natural products 2024 · PMID 39315953 · doi:10.1021/acs.jnatprod.4c00420
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 GSE262850_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 PRJNA1093481 and SRA study SRP498755. Searching any of these in the dataset finder brings you back here.

Study design
7 conditions, mostly in duplicate
control_lm ×2 control_m ×2 Auriside_m32 ×2 Auriside_m10 ×2 control_h ×2 Auriside_h32 ×2 Auriside_h10 ×2

Supports a between-group comparison across 14 samples.

How we read this: 7 replicated groups read from 14 sample titles; they account for 14 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
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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.