Systems Biomarkers and Skin Diseases

With the development of systems biology, bioinformatics, ‘omics’ studies, more and more discoveries are made in the disorders including cardiovascular diseases and cancer. However, although sometimes ignored, other common illnesses with high incidences including skin diseases also need more assessments from these novel systemic studies.

For example, psoriasis is a wide-spread autoimmune disorder with problems of both of the skin and the joints. A recent study examined relevant microarray data from the Gene Expression Omnibus (GEO) by applying methods in computational systems biology (Sevimoglu and Arga 2015). The data were retrieved from the analyses of the samples of the skin, bone marrow and dermal mesenchymal stem cells.

The study used the approaches for analyzing transcriptional regulatory networks with reconstruction and topological methods (Sevimoglu and Arga 2015). Such an integrative analysis based on systems biology would enable a comprehensive view on the molecular level of skin problems such as psoriasis.


Sevimoglu T, Arga KY. Computational Systems Biology of Psoriasis: Are We Ready for the Age of Omics and Systems Biomarkers? OMICS. 2015 Nov;19(11):669-87. doi: 10.1089/omi.2015.0096.

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