Reticulocalbin 3 Is a Novel Mediator of Glioblastoma Progression.
Yi HeSalvador AlejoJessica D JohnsonSridharan JayamohanGangadhara R SareddyPublished in: Cancers (2023)
Glioblastoma is the most common malignant primary brain tumor. Molecular mechanisms underlying the pathobiology of glioblastoma are incompletely understood, emphasizing an unmet need for the identification of new therapeutic candidates. Reticulocalbin 3 (RCN3), an ER lumen-residing Ca 2+ binding protein, plays an essential role in protein biosynthesis processes via the secretory pathway. Emerging studies demonstrated that RCN3 is a target for therapeutic intervention in various diseases. However, a knowledge gap exists about whether RCN3 plays a role in glioblastoma. Publicly available datasets suggest RCN3 is overexpressed in glioblastoma and portends poor survival rates. The knockdown or knockout of RCN3 using shRNA or CRISPR/Cas9 gRNA, respectively, significantly reduced proliferation, neurosphere formation, and self-renewal of GSCs. The RNA-seq studies showed downregulation of genes related to translation, ribosome, and cytokine signaling and upregulation of genes related to immune response, stem cell differentiation, and extracellular matrix (ECM) in RCN3 knockdown cells. Mechanistic studies using qRT-PCR showed decreased expression of ribosomal and increased expression of ER stress genes. Further, in silico analysis of glioblastoma patient datasets showed RCN3 expression correlated with the ribosome, ECM, and immune response pathway genes. Importantly, the knockdown of RCN3 using shRNA significantly enhanced the survival of tumor-bearing mice in orthotopic glioblastoma models. Our study suggests that RCN3 could be a potential target for the development of a therapeutic intervention in glioblastoma.
Keyphrases
- binding protein
- rna seq
- poor prognosis
- extracellular matrix
- immune response
- crispr cas
- randomized controlled trial
- genome wide
- healthcare
- signaling pathway
- single cell
- cell proliferation
- long non coding rna
- bioinformatics analysis
- induced apoptosis
- dendritic cells
- case control
- molecular dynamics simulations
- metabolic syndrome
- high fat diet induced
- cell death
- single molecule
- transcription factor
- genome wide identification
- ultrasound guided
- endoplasmic reticulum stress
- drug induced
- genome editing
- genome wide analysis