Predicting miRNA targets for hepatocellular carcinoma with an integrated method

Predicting miRNA targets utilizing an Extended Profile HMM

The regulation of many cellular processes is influenced by miRNAs, and bioinformatics approaches for predicting miRNA targets evolve rapidly. Here, we propose conditional profile HMMs that learn rules of miRNA-target site interaction automatically from data. We demonstrate that conditional profile HMMs detect the rules implemented into existing approaches from their predictions. And we show tha...

Combined low miRNA-29s is an independent risk factor in predicting prognosis of patients with hepatocellular carcinoma after hepatectomy

The prediction of prognosis of hepatocellular carcinoma (HCC) following partial hepatectomy is still an unresolved issue. The aim of this study is to identify the association between miRNA-29s family and the prognosis of patients with HCC in a large Asian cohort. We retrospectively reviewed 122 patients with HCC managed in our institution between 2008 and 2015. The expression of miRNA-29s was d...

Hepatocellular Carcinoma in Sheep

A Computational High-Throughput Method for Detecting miRNA Targets

MicroRNAs (miRNAs) have recently been discovered as an important class of non-coding RNA genes that play a major role in regulating gene expression, providing a means to control the relative amounts of mRNA transcripts and their protein products. Although much work has been done in the genomewide computational prediction of miRNA genes and their target mRNAs, an open problem is how to efficient...

MAGE antigens: therapeutic targets in hepatocellular carcinoma?

The challenging aim of cancer immunotherapy is to selectively target the cellular destruction mechanisms of the immune system towards malignant cells. Targeting requires the specificity conferred by protein sequences that are exclusively, or very selectively, expressed by tumor cells and that are recognized by effector killer lymphocytes. A tumor antigen can be defined as a biomolecule (most of...