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Effect of depletion of Med23 on gene expression during VSV infection of MEF and BMDM cells.

GSE281340 Mus musculus (mouse) RNA-seq (gene expression) 24 samples Submitted 2025/06/26 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 24 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
24 samples: 8 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.
Summary (written by the submitters)
The detection of cytosolic viral nucleic acids via pattern recognition receptors (PRRs) activates multiple signaling pathways, leading to the production of interferons (IFNs), which are essential for host survival during viral infection. Precise control of PRR gene expression is crucial for maintaining immune homeostasis. Here, we showed that Mediator complex subunit 23 (Med23) is required for the precise production of the innate immune receptor RIG-I in response to RNA virus infection.
Read the full summary ↓
Med23 deficiency markedly enhances the production of type I IFNs, proinflammatory cytokines and IFN-stimulated genes (ISGs) in both multiple cell lines and primary macrophages infected with RNA viruses or stimulated with poly(I:C). Myeloid-specific Med23 knockout mice were generated to test the critical role of Med23 in host resistance to RNA virus infection in vivo. Mechanistically, Med23 interacts with the transcription factor forkhead box O3 (Foxo3) to negatively regulate RIG-I, thereby modulating IFN-I signaling. Collectively, these findings elucidate a previously unrecognized role of Med23 as a gatekeeper of the RIG-I-mediated antiviral innate immune response and suggest a potential target for controlling viral infection.
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 GSE281340_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 PRJNA1183406 and SRA study SRP543857. Searching any of these in the dataset finder brings you back here.

Study design
8 conditions, mostly in triplicate
BMDM cells, Med23 KO, Mock, ×3 BMDM cells, Med23 KO, VSV, ×3 BMDM cells, Med23 WT, Mock, ×3 BMDM cells, Med23 WT, VSV, ×3 MEF cells, Med23 KO, Mock, ×3 MEF cells, Med23 KO, VSV, ×3 MEF cells, Med23 WT, Mock, ×3 MEF cells, Med23 WT, VSV, ×3

Supports a between-group comparison across 24 samples.

How we read this: 8 replicated groups read from 24 sample titles; they account for 24 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
Datasets on a similar topic

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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.