Autotaxin expression from synovial fibroblasts is essential for the pathogenesis of modeled arthritis.

Rheumatoid arthritis is a destructive arthropathy characterized by chronic synovial inflammation that imposes a substantial socioeconomic burden. Under the influence of the proinflammatory milieu, synovial fibroblasts (SFs), the main effector cells in disease pathogenesis, become activated and hyperplastic, releasing proinflammatory factors and tissue-remodeling enzymes. This study shows that activated arthritic SFs from human patients and animal models express significant quantities of autotaxin (ATX; ENPP2), a lysophospholipase D that catalyzes the conversion of lysophosphatidylcholine to lysophosphatidic acid (LPA).

A critical role for gelsolin in ventilator-induced lung injury.

Mechanical ventilation, an essential life-support modality of patients with acute lung injury (ALI) or the acute respiratory distress syndrome (ARDS), exerts its detrimental effects through largely unknown mechanisms. Gelsolin (GSN), an actin-binding protein and a substrate of caspase-3, was recently shown to play a major role in bleomycin- or lipopolysaccharide-induced lung injury. To dissect a possible role of GSN in the pathogenesis of ventilator-induced lung injury (VILI), genetically modified mice lacking GSN expression and wild-type controls underwent mechanical ventilation with high tidal volumes.

Development and application of versatile high density microarrays for genome-wide analysis of Streptomyces coelicolor: characterization of the HspR regulon.

Background: DNA microarrays are a key resource for global analysis of genome content, gene expression and the distribution of transcription factor binding sites. We describe the development and application of versatile high density ink-jet in situ-synthesized DNA arrays for the G+C rich bacterium Streptomyces coelicolor. High G+C content DNA probes often perform poorly on arrays, yielding either weak hybridization or non-specific signals.

Statistical reconstruction of transcription factor activity using Michaelis-Menten kinetics.

The basic building block of a gene regulatory network consists of a gene encoding a transcription factor (TF) and the gene(s) it regulates. Considerable efforts have been directed recently at devising experiments and algorithms to determine TFs and their corresponding target genes using gene expression and other types of data. The underlying problem is that the expression of a gene coding for the TF provides only limited information about the activity of the TF, which can also be controlled posttranscriptionally.