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Lamp2-Flotillin-2 interaction enhances autophagosome-lysosome fusion to protect the septic heart in response to ILC2

GSE280661 Mus musculus (mouse) RNA-seq (gene expression) 13 samples Submitted 2025/08/27 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 13 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
13 samples: 9 distinct titles, 1 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
LAMP2-FLOT2 interaction enhances autophagosome-lysosome fusion to protect the septic heart in response to ILC2Autophagy · 2025
Summary (written by the submitters)
Cardiac dysfunction is a serious complication of sepsis-induced multiorgan failure in intensive care units and is characterized by an uncontrolled immune response to overwhelming infection. Type 2 innate lymphoid cells (ILC2s), as a part of the innate immune system, play a crucial role in the inflammatory process of heterogeneous cardiac disorders.
Read the full summary ↓
However, the role of ILC2 in regulating sepsis-induced cardiac dysfunction and its underlying mechanism remain unknown. The present study demonstrated that autophagic flux blockage exacerbated inflammatory response and cardiac dysfunction, which was associated with mortality of sepsis. Using a cecal ligation and puncture (CLP) mouse sepsis model, we observed an expansion of ILC2s in the septic heart. Furthermore, IL-4 derived from ILC2 mitigated cardiac inflammatory responses and improved cardiac function during sepsis. Additionally, IL-4 restored the impaired autophagic flux and enhanced lysosomal-associated membrane protein 2 (LAMP2) expression to stabilize lysosomal homeostasis during sepsis. Notably, LAMP2 preferentially bound to Flotillin2 (FLOT2) after IL-4 exposure and the interaction enhanced autophagosome-lysosome fusion in cardiac endothelial cells. Loss of FLOT2 reversed the regulatory effects of LAMP2 on autophagy mediated by IL-4, leading to autophagosome accumulation and suppressed autophagosome clearance. Conclusively, these findings provide novel insights that ILC2 regulates incomplete autophagic flux to protect septic heart and expand our understanding of immunoregulation for sepsis.
Published in
LAMP2-FLOT2 interaction enhances autophagosome-lysosome fusion to protect the septic heart in response to ILC2
Shao R, Liu W, Feng Y et al. · Autophagy 2025 · PMID 40066518 · doi:10.1080/15548627.2025.2469207
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 GSE280661_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 PRJNA1179922 and SRA study SRP542072. Searching any of these in the dataset finder brings you back here.

Study design
9 distinct titles, 1 of them repeated
con ×5

How we read this: Read from 13 sample titles: 9 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
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