Abstract
Transcription factors and corresponding cis-regulatory elements are considered key components in gene regulation. We combined biostatistics and bioinformatics tools to streamline identification of putative transcription factor-gene regulatory networks unique for two immune-mediated diseases, ankylosing spondylitis and sarcoidosis. After identifying differentially expressed genes from microarrays, we employed tightCluster to find tight clusters of potentially co-regulated genes. By subsequently applying bioinformatics tools to search for common cis-regulatory elements, putative transcription factor-gene regulatory networks were found. Recognition of these networks by applying this methodology could pave the way for new insights into disease pathogenesis.
Original language | English (US) |
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Pages (from-to) | 3326-3338 |
Number of pages | 13 |
Journal | Communications in Statistics - Theory and Methods |
Volume | 38 |
Issue number | 18 |
DOIs | |
State | Published - 2009 |
Keywords
- Affymetrix microarrays
- Ankylosing spondylitis
- Cluster analysis
- Geneexpression
- Sarcoidosis
- TightClust
- Transcription factor
ASJC Scopus subject areas
- Statistics and Probability