Effects of Korean red ginseng on auditory, cognitive, and liver functions in a naturally aged mouse model.

Background: Korean Red Ginseng and ginsenosides have been studied for their efficacy against various diseases, including those related to aging. However, most aging studies use D-galactose to induce aging, which often does not accurately represent natural aging. This study aimed to verify improvements in auditory, cognitive, and liver function through administering red ginseng to an 18-month-old naturally aging mouse model.

Serum cancer biomarker discovery through analysis of gene expression data sets across multiple tumor and normal tissues.

The development of convenient serum bioassays for cancer screening, diagnosis, prognosis, and monitoring of treatment is one of top priorities in cancer research community. Although numerous biomarker candidates have been generated by applying high-throughput technologies such as transcriptomics, proteomics, and metabolomics, few of them have been successfully validated in the clinic. Better strategies to mine omics data for successful biomarker discovery are needed.

GENT: gene expression database of normal and tumor tissues.

Background: Some oncogenes such as ERBB2 and EGFR are over-expressed in only a subset of patients. Cancer outlier profile analysis is one of computational approaches to identify outliers in gene expression data. A database with a large sample size would be a great advantage when searching for genes over-expressed in only a subset of patients.