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Dataset Information

Multi-omics data integration reveals novel drug targets in hepatocellular carcinoma.


ABSTRACT:

Background

Genetic aberrations in hepatocellular carcinoma (HCC) are well known, but the functional consequences of such aberrations remain poorly understood.

Results

Here, we explored the effect of defined genetic changes on the transcriptome, proteome and phosphoproteome in twelve tumors from an mTOR-driven hepatocellular carcinoma mouse model. Using Network-based Integration of multi-omiCS data (NetICS), we detected 74 'mediators' that relay via molecular interactions the effects of genetic and miRNA expression changes. The detected mediators account for the effects of oncogenic mTOR signaling on the transcriptome, proteome and phosphoproteome. We confirmed the dysregulation of the mediators YAP1, GRB2, SIRT1, HDAC4 and LIS1 in human HCC.

Conclusions

This study sug

SUBMITTER: Dimitrakopoulos C 

PROVIDER: S-EPMC8340535 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature