← BioTransfer GEO Dataset Finder
GEO series

Tangeretin alleviates LPS-induced acute lung injury by inhibiting ferroptosis of macrophage via Nrf2 pathways

GSE252755 Mus musculus (mouse) RNA-seq (gene expression) 8 samples Submitted 2024/01/20 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 8 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
8 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)
Sepsis-induced acute lung injury (ALI) is a severe clinical condition with a high mortality rate. Tangeretin, widely found in citrus fruits, has been reported to exert antioxidant and anti-inflammatory properties. However, whether Tangeretin protects against sepsis-induced ALI and the potential mechanisms remain unclear.We established ALI model via intraperitoneally injected with 5 mg/kg lipopolysaccharides (LPS) for 12 h.
Read the full summary ↓
Tangeretin was applied intraperitoneally 30 min before LPS treatment. The lung tissue samples from both the LPS and LPS + TAN groups were subjected to RNA sequencing analysis, conducted by OE Biotech Co., Ltd. (Shanghai, China). We performed differential gene expression analysis using RNA-seq data between LPS and LPS/Tangeretin group.GSEA analysis between LPS and LPS/Tangeretin group showed that IL6_JAK_STAT3_SIGNALING, INFLAMMATORY_RESPONSE, TNFA_SIGNALING_VIA_NFKB were significantly enriched (Fig.3C-E). These results identified the anti-inflammatory effect of Tangeretin against sepsis-induced ALI.
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 GSE252755_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 PRJNA1062399 and SRA study SRP482670. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.

+ 8 more — browse all 8 samples with per-sample file links →

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.