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Cancer-associated SF3B1 Mutations Inhibit mRNA Nuclear Export by Disrupting SF3B1–THOC5 Interactions

GSE268355 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2024/09/12 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 12 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
12 samples: 3 × HEK293T cells-WTNu vs 3 × HEK293T cells-WTCyto vs 3 × HEK293T cells-K700ENu vs 3 × HEK293T cells-K700ECytoGroups 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
Cancer-associated SF3B1 mutations inhibit mRNA nuclear export by disrupting SF3B1-THOC5 interactionsJournal of biochemistry · 2024
Summary (written by the submitters)
Pre-mRNA splicing and nuclear export are coordinated processes that ensure efficient and accurate gene expression. In recent years, disruptions in this process have been found to result in substantial gene expression aberrations, with potential contributions from SF3B1 mutations, whose mechanism remains elusive. The present study reveals that the K700E mutation in SF3B1 attenuates its interaction with THOC5, resulting in reduced mRNA binding by THOC5, and ultimately, the inhibition of mRNA nuclear export.
Read the full summary ↓
Interestingly, overexpressing THOC5 can restore the attenuated interaction, facilitating mRNA nuclear export. Importantly, other cancer-associated SF3B1 mutations may exert a similar impact. Our research highlights the critical role of the THOC5–SF3B1 interaction in regulating mRNA nuclear export and provides valuable insights into the impact of SF3B1 mutations on this process.
Published in
Cancer-associated SF3B1 mutations inhibit mRNA nuclear export by disrupting SF3B1-THOC5 interactions
Liu G, Zhao B, Shi Y et al. · Journal of biochemistry 2024 · PMID 39259498 · doi:10.1093/jb/mvae061
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 GSE268355_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 PRJNA1116549 and SRA study SRP509886. Searching any of these in the dataset finder brings you back here.

Study design
3 × HEK293T cells-WTNu vs 3 × HEK293T cells-WTCyto vs 3 × HEK293T cells-K700ENu vs 3 × HEK293T cells-K700ECyto

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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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