A Multi-Omics Approach Reveals Enrichment in Metabolites Involved in the Regulation of the Glutathione Pathway in LIN28B-Dependent Cancer Cells.
Matteo StoccheroDiana CoralloSilvia BresolinMarcella PantilePaola PirilloRoberta BortolozziSara MenegazzoDaniele BosoGiampietro ViolaEugenio BaraldiAlessandra BiffiGiuseppe GiordanoSanja AveicPublished in: International journal of molecular sciences (2024)
The RNA-binding protein LIN28B, identified as an independent risk factor in high-risk neuroblastoma patients, is implicated in adverse treatment outcomes linked to metastasis and chemoresistance. Despite its clinical significance, the impact of LIN28B on neuroblastoma cell metabolism remains unexplored. This study employs a multi-omics approach, integrating transcriptome and metabolome data, to elucidate the global metabolic program associated with varying LIN28B expression levels over time. Our findings reveal that escalating LIN28B expression induces a significant metabolic rewiring in neuroblastoma cells. Specifically, LIN28B prompts a time-dependent increase in the release rate of metabolites related to the glutathione and aminoacyl-tRNA biosynthetic pathways, concomitant with a reduction in glucose uptake. These results underscore the pivotal role of LIN28B in governing neuroblastoma cell metabolism and suggest a potential disruption in the redox balance of LIN28B-bearing cells. This study offers valuable insights into the molecular mechanisms underlying LIN28B-associated adverse outcomes in neuroblastoma, paving the way for targeted therapeutic interventions.
Keyphrases
- single cell
- binding protein
- induced apoptosis
- poor prognosis
- end stage renal disease
- rna seq
- ms ms
- cell cycle arrest
- gene expression
- chronic kidney disease
- type diabetes
- cell death
- risk factors
- cell therapy
- stem cells
- genome wide
- peritoneal dialysis
- drug delivery
- physical activity
- blood pressure
- oxidative stress
- endoplasmic reticulum stress
- bone marrow
- cell proliferation
- electronic health record
- long non coding rna
- dna methylation
- patient reported outcomes
- artificial intelligence
- quality improvement
- risk assessment
- adipose tissue
- cancer therapy
- adverse drug