Application of Biostatistics and Bioinformatics Tools to Identify Putative Transcription Factor- Gene Regulatory Network of Ankylosing Spondylitis and Sarcoidosis

UNCP Author/Contributor (non-UNCP co-authors, if there are any, appear on document)
Dr.. Zhixin "Richard" Kang, Associate Professor (Creator)
The University of North Carolina at Pembroke (UNCP )
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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.

Additional Information

Communications In Statistics: Theory & Methods 38.18 (2009)
Language: English
Date: 2009
Gene Regulation, Biostatistics, Bioinformatics, Ankylosing Spondylitis, Sarcoidosis, Disease Pathogenesis

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