Complex inflammatory skin disease with autoimmune roots is psoriasis. This disease affects various cell types, and the underlying signaling processes are complicated yet not fully understood. Extensive psoriatic lesions' proteome and transcriptome of several researches were combined to understand disease's underlying biological mechanisms. According to a network-based study, both transcriptomics and proteomics control were comparable. They discovered many pathways of signaling previously undiscovered and possibly involved in overexpression of psoriasis genes. They also found a collection of transcription factors in charge of this process. The functional overlap between the results of transcriptomics and proteomics was also examined. There created a network-based method for combining the analysis of many high-throughput data sources. Proteomic and transcriptome studies of psoriasis data sets demonstrated regulatory flexibility apparatus underpinning disease and complementary relationships within two cellular organizations.