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Effect of abrogated DNA-binding of thyroid hormone receptor alpha on the gene expression in CD25- CD4+ naive T cells and CD25+ CD4+ regulatory T cells

GSE246289 Mus musculus (mouse) RNA-seq (gene expression) 16 samples Submitted 2024/09/26 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 16 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
16 samples: 16 samples, each with a distinct title — no replicated groupsGroups 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
Lack of canonical thyroid hormone receptor α signaling changes regulatory T cell phenotype in female miceiScience · 2024
Summary (written by the submitters)
Thyroid hormones (TH) have emerged as important regulators of the immune system, mediating pro- and anti-inflammatory actions. However, the role of TH in T cells, which are central players of protective immunity has remained largely elusive. To address the impact TH on CD4 T cell immunity, we used RNA-sequencing analysis of naive CD4 T cells and Treg isolated from spleens of mice with a mutation in the DNA binding domain of TRα (TRαGS) or WT littermates.
Read the full summary ↓
In absence of canonical TRα signaling gene expression profile of naive CD4 T cells was altered with enriched differential expression of genes involved in T cell homeostasis and migration. In TRαGS Treg increased expression of activation and migratory markers was found. Moreover, abrogated canonical TRα signaling was also related to changes in NFκB signaling pathway in Treg, which has been previously related to Treg induction and function. Hence, our findings provide new insight in the effect of canonical TRα singlaing in CD4 T cell immunity.
Published in
Lack of canonical thyroid hormone receptor α signaling changes regulatory T cell phenotype in female mice
Wenzek C, Siemes D, Hönes GS et al. · iScience 2024 · PMID 39175769 · doi:10.1016/j.isci.2024.110547
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 GSE246289_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 PRJNA1032448 and SRA study SRP468560. Searching any of these in the dataset finder brings you back here.

Study design
16 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 16 sample titles: 16 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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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.