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Altered RNA export by SF3B1 mutants confers sensitivity to nuclear export inhibition

GSE255179 Homo sapiens (human) Single-nucleus RNA-seq 92 samples Submitted 2024/08/05 Platform GPL24676Platform GPL16791
At a glance

Single-nucleus RNA-seq · human · 92 samples

What it is
Single-nucleus RNA-seqGene activity measured in individual nuclei (used when whole cells are hard to isolate, for example from frozen tissue). Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Homo sapiens (human)
Samples
92 samples: 84 distinct titles, 4 of them repeatedGroups 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
Altered RNA export by SF3B1 mutants confers sensitivity to nuclear export inhibitionLeukemia · 2024
Summary (written by the submitters)
SF3B1 mutations are the most frequent spliceosomal alterations across cancers, yet no successful therapy exists to target this pathway. Previous findings from a phase 2 clinical trial of the XPO1 inhibitor selinexor in patients with high-risk myelodysplastic neoplasms (MDS) relapsed or refractory to hypomethylating agents (HMA) revealed increased activity in patients with SF3B1 mutations.
Read the full summary ↓
XPO1 (Exportin-1) is responsible for the export of over 200 proteins, but also plays a role in the transport of multiple RNA species, including small nuclear RNAs (snRNAs), ribosomal RNAs (rRNAs), and select messenger RNAs (mRNAs) out of the nucleus. We therefore hypothesized that XPO1 inhibition perturbs RNA export and may preferentially affect SF3B1 mutants via altered splicing, given the role of XPO1 in exporting snRNAs, which form the catalytic portion of the spliceosome. To evaluate the mechanism underlying preferentially sensitivity of SF3B1-mutants to XPO1 inhibition, we performed nuclear and cytoplasmic fraction followed by RNA sequencing before and after XPO1 inhibition in SF3B1 wildtype and SF3B1 K666N cells (subcellular RNA-seq). Whole transcriptomic analysis of subcellular RNA-seq data revealed more nuclear retention of global RNA transcripts after XPO1 inhibition in the SF3B1 mutant cell line. Similarly, we performed subcellular RNA-seq for small RNAs and found snRNAs to be increased in the nucleus after XPO1 inhibition in the SF3B1 mutant cells. We then performed total cellular RNA sequencing to understand the effect of XPO1 inhibition on global RNA expression and RNA splicing. Differential gene expression analysis identified that XPO1 inhibition had the greatest effect on cell cycle in SF3B1 wildtype cells but in SF3B1-mutant cells differentiation pathways were more significantly affected. Alternative splicing analysis showed increased 3’ alternative splicing events in SF3B1 mutant after XPO1 inhibition. These results signify the mechanistic basis for preferential sensitivity of SF3B1 mutant cells to nuclear export inhibition arises through nuclear retention of spliceosomal snRNAs and select mRNAs that result in perturbation of differentiation pathways.
Published in
Altered RNA export by SF3B1 mutants confers sensitivity to nuclear export inhibition
Chaudhry S, Beckedorff F, Jasdanwala SS et al. · Leukemia 2024 · PMID 38997434 · doi:10.1038/s41375-024-02328-1
This dataset
Open GSE255179 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 GSE255179_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1073893 and SRA study SRP488481. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 38997434) ↗
Study design
84 distinct titles, 4 of them repeated
K562-DMSO ×3 K562 SF3B1 K666N-DMSO ×3 K562-selinexo ×3 K562 SF3B1 K666N-selinexo ×3

How we read this: Read from 92 sample titles: 84 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

+ 52 more — browse all 92 samples with per-sample file links →

Datasets on a similar topic

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