Distinct Metabolic Features of Seminoma and Embryonal Carcinoma Revealed by Combined Transcriptome and Metabolome Analyses.
Aalia BatoolSu-Ren ChenYi-Xun LiuPublished in: Journal of proteome research (2019)
Seminoma and embryonal carcinoma (EC), two typical types of testicular germ cell tumors (TGCTs), present significant differences in growth behavior, expression characteristics, differentiation potential, clinical features, therapy, and prognosis. The purpose of this study was to compare the distinctive or preference metabolic pathways between seminoma and EC. The Cancer Genome Atlas revealed that many genes encoding metabolic enzymes could distinguish between seminoma and EC. Using well-characterized cell line models for seminoma (Tcam-2 cells) and EC (NT2 cells), we characterized their metabolite profiles using ultraperformance liquid chromatography coupled to Q-TOF mass spectrometry (UPLC/Q-TOF MS). In general, the integrated results from transcriptome and metabolite profiling revealed that seminoma and EC exhibited distinctive characteristics in the metabolisms of amino acids, glucose, fatty acids, sphingolipids, nucleotides, and drugs. Notably, an attenuation of citric acid cycle/mitochondrial oxidative phosphorylation and sphingolipid biosynthesis as well as an increase in arachidonic acid metabolism and (very) long-chain fatty acid abundance occurred in seminoma as compared with EC. Our study suggests histologic subtype-dependent metabolic reprogramming in TGCTs and will lead to a better understanding of the metabolic signatures and biology of TGCT subtypes.
Keyphrases
- germ cell
- mass spectrometry
- single cell
- fatty acid
- liquid chromatography
- genome wide
- induced apoptosis
- rna seq
- gene expression
- cell cycle arrest
- amino acid
- high resolution
- poor prognosis
- oxidative stress
- squamous cell carcinoma
- type diabetes
- blood pressure
- adipose tissue
- cell proliferation
- stem cells
- signaling pathway
- papillary thyroid
- climate change
- metabolic syndrome
- liquid chromatography tandem mass spectrometry
- smoking cessation
- cell death
- dna methylation
- capillary electrophoresis
- blood glucose
- bioinformatics analysis