Single-cell transcriptomics enable the characterization of local extension in retinoblastoma.
Yaoming LiuWei HuYanjie XieJunjie TangHuan MaJinmiao LiJiahe NieYinghao WangYang GaoChao ChengCheng LiYujun MaShicai SuZhihui ZhangYuekun BaoYi RenXinyue WangFengyu SunShengli LiRong LuPublished in: Communications biology (2024)
Retinoblastoma (RB) is the most prevalent ocular tumor of childhood, and its extraocular invasion significantly increases the risk of metastasis. Nevertheless, a single-cell characterization of RB local extension has been lacking. Here, we perform single-cell RNA sequencing on four RB samples (two from intraocular and two from extraocular RB patients), and integrate public datasets of five normal retina samples, four intraocular samples, and three extraocular RB samples to characterize RB local extension at the single-cell level. A total of 128,454 qualified cells are obtained in nine major cell types. Copy number variation inference reveals chromosome 6p amplification in cells derived from extraocular RB samples. In cellular heterogeneity analysis, we identified 10, 8, and 7 cell subpopulations in cone precursor like cells, retinoma like cells, and MKI67 + photoreceptorness decreased (MKI67 + PhrD) cells, respectively. A high expression level of SOX4 was detected in cells from extraocular samples, especially in MKI67 + PhrD cells, which was verified in additional clinical RB samples. These results suggest that SOX4 might drive RB local extension. Our study presents a single-cell transcriptomic landscape of intraocular and extraocular RB samples, improving our understanding of RB local extension at the single-cell resolution and providing potential therapeutic targets for RB patients.
Keyphrases
- single cell
- rna seq
- induced apoptosis
- high throughput
- copy number
- end stage renal disease
- cell cycle arrest
- chronic kidney disease
- newly diagnosed
- stem cells
- transcription factor
- mitochondrial dna
- oxidative stress
- peritoneal dialysis
- prognostic factors
- emergency department
- poor prognosis
- gene expression
- bone marrow
- cell death
- risk assessment
- cell proliferation
- young adults
- dna methylation