Application of Biostatistics and Bioinformatics Tools to Identify Putative Transcription Factor-Gene Regulatory Network of Ankylosing Spondylitis and Sarcoidosis.
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.
Choi
Dongseok
D
Division of Biostatistics, Department of Public Health & Preventive Medicine, Oregon Health & Science University, Portland, OR 97239, USA.
Sharma
Srilakshmi M
SM
Pasadhika
Sirichai
S
Kang
Zhixin
Z
Harrington
Christina A
CA
Smith
Justine R
JR
Planck
Stephen R
SR
Rosenbaum
James T
JT