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SLAM-seq analysis of WT and TTP-KO basophils treated with antigen/IgE stimulation

GSE272531 Mus musculus (mouse) RNA-seq (gene expression) 24 samples Submitted 2024/11/17 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.
Paper
Tristetraprolin-mediated mRNA destabilization regulates basophil inflammatory responsesAllergology international : official journal of the Japanese Society of Allergology · 2025
Summary (written by the submitters)
Basophils play crucial roles in type 2 immune responses, such as chronic allergic inflammation and protective immunity against parasites. However, the molecular mechanisms underlying the regulation of proinflammatory molecule production by basophils remain unclear. To investigate the role of RNA-binding proteins (RBPs), we first analyzed the gene expression of CCCH zinc finger proteins in antigen/IgE-stimulated basophils and identified that Zfp36, encoding tristetraprolin (TTP), was the most significantly upregulated gene encoding a CCCH zinc finger protein.
Read the full summary ↓
To explore the functions of TTP in basophils, we generated TTP-knockout (TTP-KO) mice using the CRISPR-Cas9 method and conducted bulk RNA-seq analysis of antigen/IgE-stimulated basophils from wild-type (WT) and TTP-KO mice. TTP-KO basophils exhibited elevated mRNA expression of pro-inflammatory mediators, such as Il4, Il13, Areg, Ccl3, and Cxcl2, compared to WT basophils, suggesting the key role of TTP in the expression of mRNAs encoding proinflammatory mediators. Since TTP is known to regulate mRNA stability in other immune cell types, we evaluated the mRNA stability of WT and TTP-KO basophils under antigen/IgE stimulation using SLAM-seq [thiol (SH)-Linked Alkylation for the Metabolic sequencing of RNA] analysis. SLAM-seq analysis revealed that the mRNA half-lives of proinflammatory molecules, such as Il4, Il13, Areg, Ccl3, and Cxcl2, were prolonged by TTP deficiency, suggesting the importance of TTP in regulating the stability of mRNAs encoding inflammatory molecules in basophils.
Published in
Tristetraprolin-mediated mRNA destabilization regulates basophil inflammatory responses
Ito J, Miyake K, Chiba T et al. · Allergology international : official journal of the Japanese Society of Allergology 2025 · PMID 39550253 · doi:10.1016/j.alit.2024.10.005
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 GSE272531_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 PRJNA1137306 and SRA study SRP520760. Searching any of these in the dataset finder brings you back here.

Study design
8 conditions, mostly in triplicate
WT_0-hou ×3 TTP-KO_0-hou ×3 WT_1-hou ×3 TTP-KO_1-hou ×3 WT_2-hou ×3 TTP-KO_2-hou ×3 WT_4-hou ×3 TTP-KO_4-hou ×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
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