← BioTransfer GEO Dataset Finder
GEO series

IBR1: A Novel Endogenous dsRNA Binding to the Helicase Domain of IFIH1 and Its Role in LPS-induced IFIH1 Activation and Macrophage M1 Polarization in ARDS [RNA-seq]

GSE244502 Mus musculus (mouse) RNA-seq (gene expression) 10 samples Submitted 2024/09/05 Platform GPL17021
At a glance

RNA-seq (gene expression) · mouse · 10 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
10 samples: 8 distinct titles, 2 of them repeatedGroups 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
IBR1, a novel endogenous IFIH1-binding dsRNA, governs IFIH1 activation and M1 macrophage polarisation in ARDSClinical and translational medicine · 2024
Summary (written by the submitters)
Uncontrolled inflammatory responses driven by macrophages and monocytes play a crucial role in perpetuating lung injury and the severity of acute respiratory distress syndrome (ARDS). Previous studies have identified IFIH1 as a key regulator of macrophage M1 polarization in pneumonia-induced ARDS. IFIH1 is a cytosolic receptor responsible for recognizing viral double-stranded RNA (dsRNA) and activating inflammatory and antiviral signaling pathways.
Read the full summary ↓
Interestingly, our observations indicate that IFIH1 can also be activated by lipopolysaccharide (LPS), a component of bacterial cell walls. However, the precise molecular mechanism underlying LPS-induced IFIH1 activation remains unclear. In our preliminary investigations, we have discovered a novel transcript, named IFIH1-binding RNA1 (IBR1), which is upregulated by LPS and gram-negative bacilli in monocytes and macrophages. We have confirmed that IBR1 interacts with the IFIH1 protein, forming a complex. Further experiments have revealed that IBR1, acting as an endogenous dsRNA, binds to the helicase domain of IFIH1 due to its local double-stranded structure. This specific interaction serves as the underlying molecular mechanism responsible for LPS-induced IFIH1 activation and subsequent macrophage M1 polarization in ARDS. Importantly, our observations indicate a significant upregulation of IBR1 expression in ARDS patients with gram-negative bacilli-induced pneumonia. Understanding the molecular mechanisms driving IFIH1 activation and macrophage M1 polarization in ARDS is of great importance for developing new therapeutic strategies to alleviate lung inflammation and improve patient outcomes. Further research is warranted to elucidate the precise roles of IBR1 and its potential as a therapeutic target in the management of ARDS.
Published in
IBR1, a novel endogenous IFIH1-binding dsRNA, governs IFIH1 activation and M1 macrophage polarisation in ARDS
Zhang S, Huang W, Wu X et al. · Clinical and translational medicine 2024 · PMID 39313944 · doi:10.1002/ctm2.70027
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 GSE244502_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 PRJNA1023280 and SRA study SRP464215. Searching any of these in the dataset finder brings you back here.

Study design
8 distinct titles, 2 of them repeated
IFIH1-RIP ×2 Input ×2

How we read this: Read from 10 sample titles: 8 distinct titles with little repetition. 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

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.