Computational design and application of endogenous promoters for transcriptionally targeted gene therapy for rheumatoid arthritis.

ABSTRACT: The promoter regions of genes that are differentially regulated in the synovial membrane during the course of rheumatoid arthritis (RA) represent attractive candidates for application in transcriptionally targeted gene therapy. In this study, we applied an unbiased computational approach to define proximal-promoters from a gene expression profiling study of murine experimental arthritis. Synovium expression profiles from progressing stages of collagen-induced arthritis (CIA) were classified into six distinct groups using k-means clustering. Using an algorithm based on local over-representation and comparative genomics, we identified putatively functional transcription factor-binding sites (TFBS) in TATA-dependent proximal-promoters. Applying a filter based on spacing between TATA box and t

SUBMITTER: Geurts J 

PROVIDER: S-EPMC2835043 | biostudies-literature | 2009 Nov

REPOSITORIES: biostudies-literature