Single-cell RNA binding protein regulatory network analyses reveal oncogenic HNRNPK-MYC signalling pathway in cancer.
Weiwei ZhouQiuling JieTao PanJingyi ShiTiantongfei JiangYa ZhangNa DingJuan XuYanlin MaYongsheng LiPublished in: Communications biology (2023)
RNA-binding proteins (RBPs) are key players of gene expression and perturbations of RBP-RNA regulatory network have been observed in various cancer types. Here, we propose a computational method, RBPreg, to identify the RBP regulators by integration of single cell RNA-Seq (N = 233,591) and RBP binding data. Pan-cancer analyses suggest that RBP regulators exhibit cancer and cell specificity and perturbations of RBP regulatory network are involved in cancer hallmark-related functions. We prioritize an oncogenic RBP-HNRNPK, which is highly expressed in tumors and associated with poor prognosis of patients. Functional assays performed in cancer cells reveal that HNRNPK promotes cancer cell proliferation, migration, and invasion in vitro and in vivo. Mechanistic investigations further demonstrate that HNRNPK promotes tumorigenesis and progression by directly binding to MYC and perturbed the MYC targets pathway in lung cancer. Our results provide a valuable resource for characterizing RBP regulatory networks in cancer, yielding potential biomarkers for precision medicine.
Keyphrases
- single cell
- papillary thyroid
- rna seq
- transcription factor
- squamous cell
- gene expression
- cell proliferation
- poor prognosis
- binding protein
- lymph node metastasis
- end stage renal disease
- squamous cell carcinoma
- chronic kidney disease
- childhood cancer
- newly diagnosed
- machine learning
- peritoneal dialysis
- genome wide
- high throughput
- cell cycle
- ejection fraction
- dna binding
- artificial intelligence
- prognostic factors
- young adults