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Assessing the impact of TET2 and TET3 deletion in TCRa and TCRb expression and repertoire in murine CD4 T cells in physiological and pathological conditions [TCR-SEQ]

GSE190229 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2025/08/10 Platform GPL16417
At a glance

RNA-seq (gene expression) · mouse · 18 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
18 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.
Paper
Assessing the impact of TET2 and TET3 deletion in TCRalpha and TCRbeta repertoire in murine CD4 T cells in physiological and pathophysiological conditionsFrontiers in immunology · 2025
Summary (written by the submitters)
TET proteins mediate DNA demethylation by oxidizing 5-methylcytosine to 5-hydroxymethylcytosine (5hmC) and other oxidative derivatives. While we have previously demonstrated a dynamic enrichment of 5hmC during T cell lineage specification, the impact of TET proteins in CD4 cell lineage differentiation remains largely unknown. Here, we discover that TET proteins exert a fundamental role in regulating the differentiation and maturation of the CD4 lineage by controlling the expression of the lineage specifying factor Th-POK, which is encoded by Zbtb7b.
Read the full summary ↓
We demonstrate that TET proteins mediate DNA demethylation of a proximal enhancer, critical for the stability of Th-POK expression. In addition, TET proteins drive the DNA demethylation of site A at the Zbtb7b locus to facilitate GATA3 binding, an event critical for Th-POK expression and subsequent CD4 maturation. The impaired maturation of Tet2/3 DKO CD4 cells leads to the acquisition of a stemness signature and results in acquisition of malignant traits.
Published in
Assessing the impact of TET2 and TET3 deletion in TCRalpha and TCRbeta repertoire in murine CD4 T cells in physiological and pathophysiological conditions
Äijö T, Gioulbasani M, Valenzuela JE et al. · Frontiers in immunology 2025 · PMID 40909275 · doi:10.3389/fimmu.2025.1638500
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 GSE190229_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 PRJNA786481 and SRA study SRP349364. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 18 more — browse all 18 samples with per-sample file links →

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