Identifying common genes and networks in multi-organ fibrosis.
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.


CONCLUSIONS
Our analysis indicates that despite different disease manifestation, organ fibrosis share a specific set of genes suggesting the potential for a common origin.
Department of Biomedical Informatics, The Ohio State University, Columbus, OH;
Kevin E
KE
Wenzke
Carmen
C
Cantemir-Stone
Jie
J
Zhang
Clay B
CB
Marsh
Kun
K
Huang