Characterization of the mouse IFN-lambda ligand-receptor system: IFN-lambdas exhibit antitumor activity against B16 melanoma.

Recently discovered type III IFNs (IFN-lambda) exert their antiviral and immunomodulatory activities through a unique receptor complex composed of IFN-lambdaR1 and interleukin-10 receptor 2. To further study type III IFNs, we cloned and characterized mouse IFN-lambda ligand-receptor system. We showed that, similar to their human orthologues, mIFN-lambda2 and mIFN-lambda3 signal through the IFN-lambda receptor complex, activate IFN stimulated gene factor 3, and are capable of inducing antiviral protection and MHC class I antigen expression in several cell types including B16 melanoma cells.

Cutting edge: IL-26 signals through a novel receptor complex composed of IL-20 receptor 1 and IL-10 receptor 2.

The receptor for IL-26 (AK155), a cytokine of the IL-10 family, has not previously been defined. We demonstrate that the active receptor complex for IL-26 is a heterodimer composed of two receptor proteins: IL-20R1 and IL-10R2. Signaling through the IL-26R results in activation of STAT1 and STAT3 which can be blocked by neutralizing Abs against IL-20R1 or IL-10R2.

NAD biosynthesis: identification of the tryptophan to quinolinate pathway in bacteria.

Previous studies have demonstrated two different biosynthetic pathways to quinolinate, the universal de novo precursor to the pyridine ring of NAD. In prokaryotes, quinolinate is formed from aspartate and dihydroxyacetone phosphate; in eukaryotes, it is formed from tryptophan. It has been generally believed that the tryptophan to quinolinic acid biosynthetic pathway is unique to eukaryotes; however, this paper describes the use of comparative genome analysis to identify likely candidates for all five genes involved in the tryptophan to quinolinic acid pathway in several bacteria.

From genetic footprinting to antimicrobial drug targets: examples in cofactor biosynthetic pathways.

Novel drug targets are required in order to design new defenses against antibiotic-resistant pathogens. Comparative genomics provides new opportunities for finding optimal targets among previously unexplored cellular functions, based on an understanding of related biological processes in bacterial pathogens and their hosts. We describe an integrated approach to identification and prioritization of broad-spectrum drug targets.