Interferon-induced immunoproteasomes disturb neuronal metabolism and drive neurodegeneration in multiple sclerosis [RNA_Seq1_Proteasome]
RNA-seq (gene expression) · mouse · 18 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
- 18 samples: 6 × mSc vs 6 × Psmb5 vs 6 × Psmb8Groups 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
- The immunoproteasome disturbs neuronal metabolism and drives neurodegeneration in multiple sclerosisCell · 2025
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 GSE279705_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 PRJNA1174125 and SRA study SRP539185. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 18 samples.
How we read this: 3 replicated groups read from 18 sample titles; they account for 18 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.
- GSM8578429 mSc_1 mSc
- GSM8578430 mSc_2 mSc
- GSM8578431 mSc_3 mSc
- GSM8578432 mSc_4 mSc
- GSM8578433 mSc_5 mSc
- GSM8578434 mSc_6 mSc
- GSM8578435 Psmb5_1 Psmb5
- GSM8578436 Psmb5_2 Psmb5
- GSM8578437 Psmb5_3 Psmb5
- GSM8578438 Psmb5_4 Psmb5
- GSM8578439 Psmb5_5 Psmb5
- GSM8578440 Psmb5_6 Psmb5
- GSM8578441 Psmb8_1 Psmb8
- GSM8578442 Psmb8_2 Psmb8
- GSM8578443 Psmb8_3 Psmb8
- GSM8578444 Psmb8_4 Psmb8
- GSM8578445 Psmb8_5 Psmb8
- GSM8578446 Psmb8_6 Psmb8
- GSE279707 Interferon-induced immunoproteasomes disturb neuronal metabolism and drive neurodegeneration in multiple sclerosis [RNS_Seq3_Nuclei] 20 samples shares interferon-induced, immunoproteasomes, neurodegeneration, proteasome, sclerosis, neuronal, multiple
- GSE279706 Interferon-induced immunoproteasomes disturb neuronal metabolism and drive neurodegeneration in multiple sclerosis [RNA_Seq2_IFNG] 12 samples shares interferon-induced, immunoproteasomes, neurodegeneration, proteasome, sclerosis, neuronal, multiple
- GSE296026 Spatial distribution and chromatin accessibility determine the therapeutic capacity of microglial subsets during neurodegeneration [scRNAseq1_LPS_ABX] 12 samples shares seq1, neurodegeneration
- GSE254996 ACSS2 upregulation enhances neuronal resilience to aging and neurodegeneration [RNA-seq] 98 samples shares neurodegeneration, neuronal
- GSE281823 Transcriptional profiling of striatum from the Q140 mouse model of Huntington's disease, from A rare genetic variant confers resistance to neurodegeneration across multiple neurological disorders by augmenting selective autophagy 40 samples shares neurodegeneration, multiple
- GSE291086 Neuronal ABCA7 deficiency aggravates mitochondrial dysfunction and neurodegeneration in Alzheimer’s disease 24 samples shares neurodegeneration, neuronal
- GSE269183 Microglia contribute to polyG-dependent neurodegeneration in neuronal intranuclear inclusion disease II 16 samples shares neurodegeneration, neuronal
- GSE237891 Neuronal DAMPs exacerbate neurodegeneration via astrocytic RIPK3 signaling 13 samples shares neurodegeneration, neuronal
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.