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The RNA Binding Protein ZFP36L2 Displays Tissue-Selective mRNA Targeting in Mice [RNA-seq]

GSE283043 Mus musculus (mouse) RNA-seq (gene expression) 46 samples Submitted 2026/06/15 Platform GPL21103Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 46 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
46 samples: 45 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
The RNA binding protein ZFP36L2 displays tissue-selective mRNA targeting in miceRNA biology · 2026
Summary (written by the submitters)
ZFP36L2 (zinc finger protein 36 like 2, C3H type-ZFP) is an RNA-binding protein targeting transcripts rich in adenine-uridine elements (AREs). Previous transcriptomic analysis suggested that ZFP36L2 displays a distinct transcript preference, depending on the tissue of expression. However, this analysis was restricted to a few tissues.
Read the full summary ↓
Here, we collected RNA-seq data in six tissues and detected a remarkable transcript selectivity. Given that ZFP36L2 accelerates the degradation of specific ARE-transcripts upon binding, we obtained differential expression transcriptomic data on a Zfp36l2 knock-out mouse model to delve into the mechanisms governing this tissue-specific targeting. Transcriptomic analyzes of up regulated ARE-transcripts in lung, liver, bone marrow, spleen, kidney, and ovary of the Zfp36l2-deficient mouse confirmed that there is high tissue preference in ZFP36L2 targets. We observed only one common up regulated gene, Apol11b, among these six different tissues. However, we do observe common trends, specifically an enrichment in protein coding genes in the up regulated genes, consistent with these RBP primarily targeting genes on their 3’ UTRs. Interestingly, we observed a significant increase in the proportion of IG (immunoglobulin) genes being up regulated. We further performed eCLIP (Enhanced Cross-Linking&ImmunoPreciptation) on a mouse cell line, MLTC-1 cells, to identify direct binding sites of ZFP36L2. AU-Rich Element score (AREscore) analysis revealed enrichment in both up regulated genes and eCLIP peaks, although some differences were observed in flanking residue composition. Our findings provide new insights into the intricate regulatory network orchestrated by ZFP36L2, opening avenues for exploring its potential roles in different tissues.
Published in
The RNA binding protein ZFP36L2 displays tissue-selective mRNA targeting in mice
Stephenson GS, Fleifel D, Cook JG et al. · RNA biology 2026 · PMID 42319349 · doi:10.1080/15476286.2026.2690792
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 GSE283043_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 PRJNA1191493 and SRA study SRP548071. Searching any of these in the dataset finder brings you back here.

Study design
45 distinct titles, 1 of them repeated
WT3-Spleen, Day ×2

How we read this: Read from 46 sample titles: 45 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

+ 6 more — browse all 46 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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