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KPNA2 promotes osteosarcoma by regulating the alternative splicing of DDX3X mediated by YBX1

GSE263410 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2025/07/02 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)
Topic
OsteosarcomaThis series is part of our curated briefing on it.
Samples
12 samples: 3 × shNC_U2 vs 3 × shYBX1_U2 vs 3 × shNC_MNNG/HOS vs 3 × shYBX1_MNNG/HOSGroups 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
KPNA2 promotes osteosarcoma progression by regulating the alternative splicing of DDX3X mediated by YBX1Oncogene · 2025
Summary (written by the submitters)
Osteosarcoma (OS) is a rapidly progressive primary malignant bone tumor that usually occurs in adolescents between 15 and 19 years old and adults over 60 years old. Over the past 20 years, limited progress has been made in neoadjuvant chemotherapy and surgery aimed at curing OS. It is well known that alternative splicing (AS) changes caused by abnormal splicing factors contribute to tumor progression.
Read the full summary ↓
But at present, there is a lack of extensive and in-depth AS research on OS. Gene expression analysis and AS analysis were performed on the sequencing data of 44 patients with osteosarcoma in order to construct a co-expression network among RNA-binding proteins, AS events, and AS genes in the whole genome. The gain or loss of functional osteosarcoma cell model was made, and the osteosarcoma phenotype was proved by in vitro and in vivo experiments. Interactive network analysis and enrichment analysis were carried out to define the internal mechanism.We screened the RBP of Karyopherin Subunit Alpha 2 (KPNA2), which was highly expressed in osteosarcoma cells and negatively correlated with patient survival. KPNA2 transports splicing factor Y-box Binding Protein 1 (YBX1) into the nucleus and promotes the proliferation, migration, and invasion of osteosarcoma. Using RNA-seq, we comprehensively screened and identified multiple AS events affected by YBX1. Specifically, YBX1 accelerates the degradation of ATP-dependent RNA helicase DDX3X (DDX3X) through the Nonsense-mediated decay (NMD) pathway by promoting the intron retention of the DDX3X gene, thus reducing the level of DDX3X protein. The changes in DDX3X in OS will affect significant changes in cell cycle-related proteins, including p53, p21, and AKT1. The KPNA2/YBX1 axis can regulate the stability of DDX3X mRNA and then affect the progress of the cell cycle. YBX1 promotes the proliferation, migration, and invasion of osteosarcoma by regulating the AS event of DDX3X. KPNA2/YBX1 axis activation is an important factor driving abnormal AS in OS. Importantly, we demonstrated that therapeutic targeting of the KPNA2/YBX1/DDX3X axis can inhibit OS proliferation and disease progression. It integrates the AS control of DDX3X into the progression of OS and represents potential prognostic biomarkers and targets of OS therapy.
Published in
KPNA2 promotes osteosarcoma progression by regulating the alternative splicing of DDX3X mediated by YBX1
Cao L, Jia K, Van Tine BA et al. · Oncogene 2025 · PMID 40216969 · doi:10.1038/s41388-025-03375-3
This dataset
Open GSE263410 in finder → Find more human RNA-seq datasets → Osteosarcoma landscape →
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 GSE263410_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 PRJNA1097489 and SRA study SRP500267. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40216969) ↗
Study design
3 × shNC_U2 vs 3 × shYBX1_U2 vs 3 × shNC_MNNG/HOS vs 3 × shYBX1_MNNG/HOS

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
More Osteosarcoma datasets

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