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AMIA Jt Summits Transl Sci Proc. 2012; 2012: 106–115.
Published online 2012 March 19.
PMCID: PMC3392050

Identifying Common Genes and Networks in Multi-Organ Fibrosis

Abstract

Fibroproliferative diseases of organs are poorly understood and generally lack effective anti-fibrotic treatments. Our goal was to identify the key regulatory factors in pathologic fibrosis, common between organ-based fibrotic disease. We analyzed 9 microarray datasets publicly available in the GEO datasets from lung, heart, liver and kidney fibrotic disease tissue (489 microarrays total, disease and control). We identified a set of 90 genes differentially expressed in at least five microarray datasets. We used IPA and DAVID analysis to identify gene networks and their molecular functions. A mutual information based network work activity analysis showed that a connective tissue disorders network was the most active for all types of fibrosis included in this analysis. Conclusion: Our analysis indicates that despite different disease manifestation, organ fibrosis share a specific set of genes suggesting the potential for a common origin.


Articles from AMIA Summits on Translational Science Proceedings are provided here courtesy of American Medical Informatics Association