← BioTransfer GEO Dataset Finder
GEO series

Role of tRNA-derived fragments in the cross-talk between immune cells and beta cells during type 1 diabetes pathogenesis (tRF overexpression)

GSE242561 Mus musculus (mouse) RNA-seq (gene expression) 16 samples Submitted 2024/05/24 Platform GPL24247
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
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)
Transfer RNAs (tRNAs) play a central and well recognized role in protein synthesis. Recent studies revealed that these molecules can be cleaved to generate tRNA fragments (tRFs) with regulatory functions. Here, we studied the contribution of tRFs to pancreatic β-cell loss during the initial phases of type 1 diabetes (T1D), an autoimmune disorder characterized by the invation of immune cells in the pancreas and progressive loss of insulin-secreting cells.
Read the full summary ↓
Small RNA-profiling showed that the pool of tRFs present in pancreatic β-cells is altered in non-obese diabetic (NOD) mice, a mouse model used to study T1D. We found that part of these changes is triggered by the exposure of β-cells to proinflammatory cytokines released during the autoimmune reaction while others result from the direct transfer of tRFs from autoreactive T lymphocytes to insulin-secreting cells via extracellular vesicles. Indeed, using an RNA-tagging approach, we could demonstrate that a group of tRFs are transferred in vivo in from CD4+CD25- T lymphocytes to pancreatic β-cells, upon T cell adoptive transfer in NOD scid mice. Morevoer, the up-regulation of selected tRFs associated with the autoimmune reaction triggers β-cell apoptosis and gene expression changes that affect the immune regulatory capacity of β-cells. Our data point to tRFs as novel players in type 1 diabetes and potentially in other autoimmune disorders.
This dataset
Open GSE242561 in finder → Find more mouse RNA-seq datasets →
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.

Series matrix ↓
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 GSE242561_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1013944 and SRA study SRP459111. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Samples in this study

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

+ 16 more — browse all 16 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.