YBX1 Indirectly Targets Heterochromatin-Repressed Inflammatory Response-Related Apoptosis Genes through Regulating CBX5 mRNA.
Andreas KloetgenSujitha DuggimpudiKonstantin SchuschelKebria HezavehDaniel PicardHeiner SchaalMarc RemkeJan-Henning KlusmannArndt BorkhardtAlice C McHardyJessica I HoellPublished in: International journal of molecular sciences (2020)
Medulloblastomas arise from undifferentiated precursor cells in the cerebellum and account for about 20% of all solid brain tumors during childhood; standard therapies include radiation and chemotherapy, which oftentimes come with severe impairment of the cognitive development of the young patients. Here, we show that the posttranscriptional regulator Y-box binding protein 1 (YBX1), a DNA- and RNA-binding protein, acts as an oncogene in medulloblastomas by regulating cellular survival and apoptosis. We observed different cellular responses upon YBX1 knockdown in several medulloblastoma cell lines, with significantly altered transcription and subsequent apoptosis rates. Mechanistically, PAR-CLIP for YBX1 and integration with RNA-Seq data uncovered direct posttranscriptional control of the heterochromatin-associated gene CBX5; upon YBX1 knockdown and subsequent CBX5 mRNA instability, heterochromatin-regulated genes involved in inflammatory response, apoptosis and death receptor signaling were de-repressed. Thus, YBX1 acts as an oncogene in medulloblastoma through indirect transcriptional regulation of inflammatory genes regulating apoptosis and represents a promising novel therapeutic target in this tumor entity.
Keyphrases
- cell cycle arrest
- binding protein
- oxidative stress
- endoplasmic reticulum stress
- inflammatory response
- cell death
- rna seq
- induced apoptosis
- pi k akt
- transcription factor
- genome wide
- single cell
- end stage renal disease
- lipopolysaccharide induced
- ejection fraction
- squamous cell carcinoma
- early onset
- electronic health record
- prognostic factors
- chronic kidney disease
- copy number
- bioinformatics analysis
- artificial intelligence
- peritoneal dialysis
- middle aged
- nucleic acid
- data analysis
- patient reported
- childhood cancer