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Proteomic study identifies Aurora-A mediated regulation of alternative splicing through multiple splicing factors

GSE281881 Homo sapiens (human) RNA-seq (gene expression) 20 samples Submitted 2024/12/10 Platform GPL34284
At a glance

RNA-seq (gene expression) · human · 20 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
20 samples: 10 conditions, mostly in duplicateGroups 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
Proteomic study identifies Aurora-A-mediated regulation of alternative splicing through multiple splicing factorsThe Journal of biological chemistry · 2025
Summary (written by the submitters)
The cell cycle regulator Aurora-A kinase presents an attractive target for cancer therapies, though its inhibition is also associated with toxic side effects. To gain a more nuanced understanding of Aurora-A function, we applied shotgun proteomics to identify 407 specific protein partners, including several splicing factors. Supporting a role in alternative splicing, we found that Aurora-A localizes to nuclear speckles, the storehouse of splicing proteins.
Read the full summary ↓
Aurora-A interacts with and phosphorylates splicing factors both in vitro and in vivo, suggesting that it regulates alternative splicing by modulating the activity of these splicing factors. Consistently, Aurora-A inhibition significantly impacts the alternative splicing of 505 genes, with RNA motif analysis revealing an enrichment for Aurora-A interacting splicing factors. Additionally, we observed a significant positive correlation between the splicing events regulated by Aurora-A and those modulated by its interacting splicing factors. An interesting example is represented by CLK1 exon 4, which appears to be regulated by Aurora-A through SRSF3. Collectively, our findings highlight a broad role of Aurora-A in the regulation of alternative splicing.
Published in
Proteomic study identifies Aurora-A-mediated regulation of alternative splicing through multiple splicing factors
Damodaran AP, Gavard O, Gagné JP et al. · The Journal of biological chemistry 2025 · PMID 39551136 · doi:10.1016/j.jbc.2024.108000
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 GSE281881_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 PRJNA1186114 and SRA study SRP545232. Searching any of these in the dataset finder brings you back here.

Study design
10 conditions, mostly in duplicate
Set1 mRNA-seq of HEK293T cells with DMSO, ×2 Set1 mRNA-seq of HEK293T cells with MLN8237, ×2 Set2 mRNA-seq of HEK293T cells with siNT1, ×2 Set2 mRNA-seq of HEK293T cells with siSF3B5, ×2 Set2 mRNA-seq of HEK293T cells with siSRSF1, ×2 Set2 mRNA-seq of HEK293T cells with siSRSF2, ×2 Set2 mRNA-seq of HEK293T cells with siSRSF7, ×2 Set3 mRNA-seq of HEK293T cells with siNT2, ×2 +2 more

Supports a between-group comparison across 20 samples.

How we read this: 10 replicated groups read from 20 sample titles; they account for 20 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
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