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Differential neuroprotective and anti-inflammatory effects of dimethyl fumarate, monomethyl fumarate and cannabidiol in neurons and microglia [Mouse]

GSE274859 Mus musculus (mouse) RNA-seq (gene expression) 36 samples Submitted 2024/09/30 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 36 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
36 samples: 12 conditions, mostly in triplicateGroups 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
Neuroprotective and Anti-Inflammatory Effects of Dimethyl Fumarate, Monomethyl Fumarate, and Cannabidiol in Neurons and MicrogliaInternational journal of molecular sciences · 2024
Summary (written by the submitters)
Dimethyl fumarate (DMF) is an immunomodulatory treatment for multiple sclerosis (MS) that can cross the blood-brain barrier, presenting neuroprotective potential. Its mechanism of action is not fully understood and there is a need to characterize if DMF or its bioactive metabolite monomethyl fumarate (MMF) exert neuroprotective properties.
Read the full summary ↓
The combination of adjuvant agents such as cannabidiol (CBD) could be relevant to enhance neuroprotection. The aim of this study was to compare the effects of DMF, MMF and CBD on neuroprotective and immunomodulatory pathways in neurons and microglia in vitro. We found that DMF and CBD, but not MMF, activated the Nrf2 antioxidant pathway in neurons. Similarly, only DMF and CBD, but not MMF, prevented the LPS-induced activation of the inflammatory pathway NF-kB in microglia. However, the 3 drugs inhibited the production of nitric oxide in microglia and protected neurons against apoptosis. Transcriptomically, DMF, MMF and CBD exhibited differential effects on these pathways, with DMF achieving the most pronounced changes. Our results show that DMF and MMF, despite being structurally related, present differences in their mechanisms of action that could be relevant for the achievement of neuroprotection in MS patients and the potential of CBD as an adjuvant therapy in neuroprotection.
Published in
Neuroprotective and Anti-Inflammatory Effects of Dimethyl Fumarate, Monomethyl Fumarate, and Cannabidiol in Neurons and Microglia
Sánchez-Sanz A, Coronado-Albi MJ, Muñoz-Viana R et al. · International journal of molecular sciences 2024 · PMID 39684792 · doi:10.3390/ijms252313082
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 GSE274859_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 PRJNA1148203 and SRA study SRP526426. Searching any of these in the dataset finder brings you back here.

Study design
12 conditions, mostly in triplicate
DMSO_4h ×3 ETOH_4h ×3 LPS_4h ×3 LPS_DMF_4h ×3 LPS_MMF_4h ×3 LPS_CBD_4h ×3 DMSO_24h ×3 ETOH_24h ×3 +4 more

Supports a between-group comparison across 36 samples.

How we read this: 12 replicated groups read from 36 sample titles; they account for 36 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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