Glomerular Elasticity and Gene Expression Patterns Define Two Phases of Alport Nephropathy.

Objectives: To understand the early stages if Alport nephropathy, we characterize the structural, functional, and biophysical properties of glomerular capillaries and podocytes in mice, analyze kidney cortex transcriptional profiles at three time points, and investigate the effects of the ER stress mitigation by TUDCA on these parameters. We use human FSGS associated genes to identify molecular pathways rescued by TUDCA.

Findings: We define a disease progression timeline in mice.

Integration of text mining and biological network analysis: Identification of essential genes in sulfate-reducing bacteria.

The growth and survival of an organism in a particular environment is highly depends on the certain indispensable genes, termed as essential genes. Sulfate-reducing bacteria (SRB) are obligate anaerobes which thrives on sulfate reduction for its energy requirements. The present study used G20 (OA G20) as a model SRB to categorize the essential genes based on their key metabolic pathways.

Text-Mining to Identify Gene Sets Involved in Biocorrosion by Sulfate-Reducing Bacteria: A Semi-Automated Workflow.

A significant amount of literature is available on biocorrosion, which makes manual extraction of crucial information such as genes and proteins a laborious task. Despite the fast growth of biology related corrosion studies, there is a limited number of gene collections relating to the corrosion process (biocorrosion). Text mining offers a potential solution by automatically extracting the essential information from unstructured text.

BASIN: A Semi-automatic Workflow, with Machine Learning Segmentation, for Objective Statistical Analysis of Biomedical and Biofilm Image Datasets.

Micrograph comparison remains useful in bioscience. This technology provides researchers with a quick snapshot of experimental conditions. But sometimes a two- condition comparison relies on researchers' eyes to draw conclusions.