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LPS-induced TIR domain complex acetylation activated TLR4/MAL/MyD88 signal pathway in sepsis [RNA-Seq]

GSE268405 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2024/08/01 Platform GPL17021
At a glance

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
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)
Among the diseases caused by Toll-like receptor 4 (TLR4) abnormal activation by bacterial endotoxin, sepsis is the most dangerous one. The reprogramming of macrophages plays a crucial role in orchestrating the pathogenesis of sepsis. However, the precise mechanism underlying TLR4 activation in macrophages remained incompletely understood.
Read the full summary ↓
Our studies revealed that upon lipopolysaccharide (LPS) stimulation, CREB-binding protein (CBP) was recruited to the TLR4 signalosome complex and resulted in pronounced acetylation in the TIR domains of TLR4, Myeloid differentiation factor 88 (MyD88) and MyD88 adapter-like (MAL), which significantly enhanced the activation of the NF-κB signaling pathway and polarization of M1 macrophages. In sepsis patients, significantly elevated TLR4-TIR acetylation was detected in CD16+ monocytes combined with elevated expression of M1 macrophage markers and production of pro-inflammatory cytokines. In contrast, histone deacetylase 1 (HDAC1) served as a key deacetylase in the deacetylation of the TIR domain complex. The inhibition of HDAC1 accelerated sepsis-associated syndromes, while the inhibition of CBP alleviated this process. Overall, our findings highlighted the crucial role of TIR domain complex acetylation in the regulation of inflammatory immune response and suggested that the reversible acetylation of the complex emerged as a promising therapeutic target for M1 macrophages during the progression of sepsis.
This dataset
Open GSE268405 in finder → Find more mouse RNA-seq datasets →
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.

Series matrix ↓
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 GSE268405_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1117034 and SRA study SRP510120. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Samples in this study

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+ 18 more — browse all 18 samples with per-sample file links →

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