Successful treatment of HCV-related cryoglobulinemic glomerulonephritis with double-filtration plasmapheresis and interferon combination therapy.

A 67-year-old, hepatitis C virus (HCV)-positive woman was admitted to our hospital because of proteinuria and leg edema. Laboratory examination showed decreased serum albumin and complement activity and positive cryoglobulin. The HCV RNA genotype was 1b with high viral load.

The H-Invitational Database (H-InvDB), a comprehensive annotation resource for human genes and transcripts.

Here we report the new features and improvements in our latest release of the H-Invitational Database (H-InvDB; http://www.h-invitational.jp/), a comprehensive annotation resource for human genes and transcripts.

Automatic recognition of topic-classified relations between prostate cancer and genes using MEDLINE abstracts.

Background: Automatic recognition of relations between a specific disease term and its relevant genes or protein terms is an important practice of bioinformatics. Considering the utility of the results of this approach, we identified prostate cancer and gene terms with the ID tags of public biomedical databases. Moreover, considering that genetics experts will use our results, we classified them based on six topics that can be used to analyze the type of prostate cancers, genes, and their relations.

Extraction of gene-disease relations from Medline using domain dictionaries and machine learning.

We describe a system that extracts disease-gene relations from Medline. We constructed a dictionary for disease and gene names from six public databases and extracted relation candidates by dictionary matching. Since dictionary matching produces a large number of false positives, we developed a method of machine learning-based named entity recognition (NER) to filter out false recognitions of disease/gene names.