GSE202070
Identification of FAD subtypes in mouse HCC models
In this study, we identified and validated a molecular classification of hepatocellular carcinoma (HCC) based on 42 fatty acid degradation (FAD) genes in clinical samples. We further searched PubMed for the RNA sequencing datasets of mouse models to identify the FAD subtypes in mouse HCC models. A total of 90 samples were collected from five publicly available datasets including 11 mouse HCC models. In addition, the transcriptome sequencing data of 8 samples from our two mouse models (NRAS.MYC.ND and AKT1.MYC.KD) were also included. This dataset aims to explore the transcriptomic characteristics of these two models. Overall design: To generate the Nras-driven HCC model, two expression constructs for human N-Ras (19 µg/mouse) and human c-Myc (1 µg/mouse), together with a plasmid expressing Sleeping Beauty transposase (SB) (2 µg/mouse) were co-transfected. After 4 weeks, the NRAS.MYC.KD group was fed with a ketogenic diet (KD) purchased from Dyets (http://www.dyets-cn.com/, #HF89.5), which consisted of 0.1% carbohydrates, 89.5% fat, and 10.4% protein for another 4 weeks, whereas the NRAS.MYC.ND group was fed with the normal diet (ND) for another 4 weeks. The tumor tissues and nontumor tissues from eight mice were resected from the liver 8 weeks after the hydrodynamic delivery of the plasmids, isolated for RNA, and prepared for RNA-seq.