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- W119341389 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.Our analysis indicates that despite different disease manifestation, organ fibrosis share a specific set of genes suggesting the potential for a common origin." @default.
- W119341389 created "2016-06-24" @default.
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- W119341389 date "2012-01-01" @default.
- W119341389 modified "2023-09-23" @default.
- W119341389 title "Identifying common genes and networks in multi-organ fibrosis." @default.
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- W119341389 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3392050" @default.
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