St. Jude Cloud: A Pediatric Cancer Genomic Data-Sharing Ecosystem.

Effective data sharing is key to accelerating research to improve diagnostic precision, treatment efficacy, and long-term survival in pediatric cancer and other childhood catastrophic diseases. We present St. Jude Cloud (https://www.

Genetic test bed for feature selection.

Motivation: Given a large set of potential features, such as the set of all gene-expression values from a microarray, it is necessary to find a small subset with which to classify. The task of finding an optimal feature set of a given size is inherently combinatoric because to assure optimality all feature sets of a given size must be checked. Thus, numerous suboptimal feature-selection algorithms have been proposed.

RNAi microarray analysis in cultured mammalian cells.

RNA interference (RNAi) mediated by small interfering RNAs (siRNAs) is a powerful new tool for analyzing gene knockdown phenotypes in living mammalian cells. To facilitate large-scale, high-throughput functional genomics studies using RNAi, we have developed a microarray-based technology for highly parallel analysis. Specifically, siRNAs in a transfection matrix were first arrayed on glass slides, overlaid with a monolayer of adherent cells, incubated to allow reverse transfection, and assessed for the effects of gene silencing by digital image analysis at a single cell level.

Splenectomy abrogates the induction of oral tolerance in experimental autoimmune uveoretinitis.

Oral administration of uveitogenic antigens inhibits the development of experimental autoimmune uveoretinitis (EAU) and the cellular immune response initiated by these antigens. The mechanism of oral tolerance is not completely clear, but accumulating data indicate that suppressor cells are actively involved in this process. The spleen is known to harbor suppressor cells and their precursors and the present study was aimed at testing the role of this organ in the induction of oral tolerance by S-antigen (S-AG).