Interferon-induced immunoproteasomes disturb neuronal metabolism and drive neurodegeneration in multiple sclerosis [RNA_Seq2_IFNG]
RNA-seq (gene expression) · mouse · 12 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
- 12 samples: 6 × Control vs 6 × IFNGGroups 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 GSE279706_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 PRJNA1174118 and SRA study SRP539141. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 2 replicated groups read from 12 sample titles; they account for 12 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.
- GSM8578447 Control_1 Control
- GSM8578448 IFNG_1 IFNG
- GSM8578449 Control_2 Control
- GSM8578450 IFNG_2 IFNG
- GSM8578451 Control_3 Control
- GSM8578452 IFNG_3 IFNG
- GSM8578453 Control_4 Control
- GSM8578454 IFNG_4 IFNG
- GSM8578455 Control_5 Control
- GSM8578456 IFNG_5 IFNG
- GSM8578457 Control_6 Control
- GSM8578458 IFNG_6 IFNG
- GSE279707 Interferon-induced immunoproteasomes disturb neuronal metabolism and drive neurodegeneration in multiple sclerosis [RNS_Seq3_Nuclei] 20 samples shares interferon-induced, immunoproteasomes, neurodegeneration, sclerosis, neuronal, multiple
- GSE279705 Interferon-induced immunoproteasomes disturb neuronal metabolism and drive neurodegeneration in multiple sclerosis [RNA_Seq1_Proteasome] 18 samples shares interferon-induced, immunoproteasomes, neurodegeneration, sclerosis, neuronal, multiple
- GSE280328 Targeting Vdac2 enables IFNg-mediated destruction and inflammatory remodeling of tumors to overcome immune evasion [ATAC-seq2] 16 samples shares seq2, ifng
- GSE276418 Data Mining of IFNgamma-induced macrophage and Atherosclerotic Plaque Transcriptomes predicts a macrophage-specific role of STAT1 in human atherosclerosis 36 samples shares ifng, sclerosis
- GSE276417 Data Mining of IFNgamma-induced macrophage and Atherosclerotic Plaque Transcriptomes predicts a macrophage-specific role of STAT1 in human atherosclerosis [VSMC] 18 samples shares ifng, sclerosis
- GSE276416 Data Mining of IFNgamma-induced macrophage and Atherosclerotic Plaque Transcriptomes predicts a macrophage-specific role of STAT1 in human atherosclerosis [BMDM] 18 samples shares ifng, sclerosis
- GSE296027 Spatial distribution and chromatin accessibility determine the therapeutic capacity of microglial subsets during neurodegeneration [scRNAseq2_Csf1] 17 samples shares seq2, neurodegeneration
- GSE241165 Characterizing the gene expression profiles of 4T1 and 4T1.2 cells at different stages of bone metastsis using SMART-Seq2 technology 1248 samples shares seq2
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.