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We present the implementation of an application using caGrid, which is the service-oriented Grid software infrastructure of the NCI cancer Biomedical Informatics Grid (caBIG™), to support design and analysis of custom microarray experiments in the study of epigenetic alterations in cancer. The design and execution of these experiments requires synthesis of information from multiple data types and datasets. In our implementation, each data source is implemented as a caGrid Data Service, and analytical resources are wrapped as caGrid Analytical Services. This service-based implementation has several advantages. A backend resource can be modified or upgraded, without needing to change other components in the application. A remote resource can be added easily, since resources are not required to be collected in a centralized infrastructure.

International audience; There is growing evidence that epigenetics, the study of heritable changes in gene expression that do not involve mutations in the DNA itself, may play an essential role in autoimmune diseases (AID). In Sjögren's syndrome (SS), a chronic AID characterized by an epithelis of the exocrine glands, epigenetic studies have focused on three mechanisms: DNA methylation and its consequences including human endogenous retrovirus (HERV) expression; microRNA expression; and protein post-translational modifications associated with autoantibody production. Although in its infancy, comprehension of the epigenetic (dys)regulation in SS may help us to understand: why SS affects predominantly middle-aged women; why genetically predisposed individuals develop SS but not others; why flare-ups occur; why treatment responses differ between patients; and why some patients develop lymphoma. From these studies will arise a better comprehension of the pathophysiology of SS as well as development of new diagnostic and prognostic biomarkers, and novel therapeutics for prevention and perhaps early intervention.