Differential neuroprotective and anti-inflammatory effects of dimethyl fumarate, monomethyl fumarate and cannabidiol in neurons and microglia [Mouse]
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
Read the full summary ↓
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.
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.
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).
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.
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.
- GSM8459489 DMSO_4h_4 DMSO_4h
- GSM8459490 ETOH_4h_4 ETOH_4h
- GSM8459491 LPS_4h_1 LPS_4h
- GSM8459492 LPS_DMF_4h_1 LPS_DMF_4h
- GSM8459493 LPS_MMF_4h_1 LPS_MMF_4h
- GSM8459494 LPS_CBD_4h_1 LPS_CBD_4h
- GSM8459495 DMSO_24h_4 DMSO_24h
- GSM8459496 ETOH_24h_4 ETOH_24h
- GSM8459497 LPS_24h_1 LPS_24h
- GSM8459498 LPS_DMF_24h_1 LPS_DMF_24h
- GSM8459499 LPS_MMF_24h_1 LPS_MMF_24h
- GSM8459500 LPS_CBD_24h_1 LPS_CBD_24h
- GSM8459501 DMSO_4h_5 DMSO_4h
- GSM8459502 ETOH_4h_5 ETOH_4h
- GSM8459503 LPS_4h_2 LPS_4h
- GSM8459504 LPS_DMF_4h_2 LPS_DMF_4h
- GSM8459505 LPS_MMF_4h_2 LPS_MMF_4h
- GSM8459506 LPS_CBD_4h_2 LPS_CBD_4h
- GSM8459507 DMSO_24h_5 DMSO_24h
- GSM8459508 ETOH_24h_5 ETOH_24h
- GSM8459509 LPS_24h_2 LPS_24h
- GSM8459510 LPS_DMF_24h_2 LPS_DMF_24h
- GSM8459511 LPS_MMF_24h_2 LPS_MMF_24h
- GSM8459512 LPS_CBD_24h_2 LPS_CBD_24h
- GSM8459513 DMSO_4h_6 DMSO_4h
- GSM8459514 ETOH_4h_6 ETOH_4h
- GSM8459515 LPS_4h_3 LPS_4h
- GSM8459516 LPS_DMF_4h_3 LPS_DMF_4h
- GSM8459517 LPS_MMF_4h_3 LPS_MMF_4h
- GSM8459518 LPS_CBD_4h_3 LPS_CBD_4h
- GSM8459519 DMSO_24h_6 DMSO_24h
- GSM8459520 ETOH_24h_6 ETOH_24h
- GSM8459521 LPS_24h_3 LPS_24h
- GSM8459522 LPS_DMF_24h_3 LPS_DMF_24h
- GSM8459523 LPS_MMF_24h_3 LPS_MMF_24h
- GSM8459524 LPS_CBD_24h_3 LPS_CBD_24h
- GSE316055 Differential downstream signaling in microglia lacking Alzheimer’s-related TREM2 or its adaptor TYROBP/DAP12 72 samples shares differential, microglia
- GSE338200 Cannabidiol reverses microglial exhaustion in aged Gulf War Illness mice 22 samples shares cannabidiol, microglia
- GSE249957 RNA sequencing analyses reveal the potential anti-inflammatory mechanisms of acacetin against ODG/R injuries in microglia 12 samples shares anti-inflammatory, microglia
- GSE241211 Oligodendrocyte precursor cell regulates microglial transition to neuroprotective phenotype by BMP4 driven acquisition of disease associated state in Alzheimer’s disease 12 samples shares neuroprotective, microglia
- GSE335500 APOE3 and APOE4 Human Astrocytes Differentially Modulate Alzheimer’s Disease Pathology and Microglial Responses in Chimeric Mice 12 samples shares differential, microglia
- GSE267633 Differential Effects of Prenatal Alcohol Exposure in Mice on Brain Growth and Gene Expression Reveals Early Effects on Cell Cycle and Apoptosis and Delayed Effects on Metabolism in Affected Offspring 151 samples shares differential
- GSE286046 Asymmetric Histone Inheritance Regulates Differential Transcription Re-initiation and Cell Fate Decisions in Mouse Olfactory Horizontal Basal Cells 96 samples shares differential
- GSE318815 Differential sex-dependent responses of circulating steroid hormones and cortical gene expression in a preclinical traumatic brain injury model 88 samples shares differential
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.