← BioTransfer GEO Dataset Finder
GEO series

Autoimmunity-associated DIORA1 binds the MRCK family of serine/threonine kinases and controls cell motility

GSE299540 Homo sapiens (human) RNA-seq (gene expression) 24 samples Submitted 2025/09/08 Platform GPL34284
At a glance

RNA-seq (gene expression) · human · 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
Homo sapiens (human)
Samples
24 samples: 6 conditions, mostly with about 5 replicates eachGroups 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
Autoimmunity-associated DIORA1 binds the MRCK family of serine/threonine kinases and controls cell motilityProceedings of the National Academy of Sciences of the United States of America · 2025
Summary (written by the submitters)
Genetic association links DIORA1 to numerous autoimmune rheumatic diseases, including systemic lupus erythematosus, Sjögren's disease, rheumatoid arthritis, polymyositis and systemic sclerosis. However, its cellular function has remained unknown. Here, we identify the MRCK family of serine/threonine kinases - key regulators of actomyosin contractility and cell motility - as direct interactors of DIORA1.
Read the full summary ↓
Through interaction mapping, we show that DIORA1 binds three distinct modules of MRCK kinases, including the conserved kinase inhibitory motif (KIM), C1-PH and CNH domains. DIORA1 knockdown in human cells altered cellular phosphorylation patterns and reduced phosphorylation of known MRCK targets. RNA-sequencing and proteomic analyses revealed upregulation of epithelial-mesenchymal transition genes and proteins, and functional analyses confirmed increased cell invasion, following knockdown of DIORA1. Together, these findings identify the autoimmunity-associated DIORA1 protein as a previously uncharacterized interactor of MRCK kinases and a regulator of cell motility.
Published in
Autoimmunity-associated DIORA1 binds the MRCK family of serine/threonine kinases and controls cell motility
Tršelič T, Pelo N, Martin de Fremont G et al. · Proceedings of the National Academy of Sciences of the United States of America 2025 · PMID 41042840 · doi:10.1073/pnas.2426917122
This dataset
Open GSE299540 in finder → Find more human 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 GSE299540_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 PRJNA1274935 and SRA study SRP591461. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41042840) ↗
Study design
6 conditions, mostly with about 5 replicates each
SK-N-SH, DIORA1-targetting siRNA pool, ×5 SK-N-SH, NTC siRNA, ×5 SK-N-AS, sgDIORA1, CRISPRi, ×4 SK-N-AS, sgGal4 (NTC), CRISPRi, ×4 SK-N-SH, sgDIORA1, CRISPRi, ×3 SK-N-SH, sgGal4 (NTC), CRISPRi, ×3

Supports a between-group comparison across 24 samples.

How we read this: 6 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
Datasets on a similar topic

Search all human 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.