SLE-Diseaseome: A Comprehensive Meta-Database of Systemic Lupus Erythematosus Relevant Functional Pathways

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Abstract

Systemic lupus erythematosus (SLE) patients exhibit a broad clinical spectrum of manifestations and suffer from high rates of treatment failure. These can be attributed to disease heterogeneity due to differentially dysregulated pathways. Precision medicine considering the individualized molecular disease driving mechanisms is a promising strategy to address challenges imposed by disease heterogeneity. Available patient blood transcriptome data coupled with pathway-based single-sample scoring approaches have been extensively employed to reveal molecular footprints of disease states and progression as well as delineate population heterogeneity. However, systemic understanding of pathways involved in SLE pathogenesis remains lacking. We created a SLE-diseaseome, an integrative multi-cohort database of disease-relevant functional gene sets (DRGs). This resource contains a comprehensive collection of SLE-specific gene signatures combining knowledge from several pathway databases and signature sources robustly defined by integrating multiple SLE studies. It offers reliable and extensive reference DRGs in a SLE-specific manner for functional interpretation of molecular data from clinical studies.

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