Microarray Data Analysis
The use of microarray technology (reviewed in this publication; applied as a survey technique in this publication) has been crucial to our research and has provided important insights. This technology has led us to discover types of immune system cells not previously identified in muscle in inflammatory myopathies. Basic research on optimal methods for microarray analysis is a part of our research objectives.
Through collaboration with the laboratory of Dr. Peter J. Park at Children’s Hospital Boston and Harvard Medical School, we have several projects that contribute more generally to the use of bioinformatics and micorarray technology for the study of human disease are:
- We have looked at pathway discovery approaches for the analysis of microarray data – see Discovering Statistically Significant Pathways in Expression Profiling Studies.
- We have improved methods for combining data collected from different generations of Affymetrix oligonucleotide microarrays – see
- We have developed a method for the characterization of sets of genes by computationally identified transcription-regulation sequences, and applied this method to a class of genes of central interest to the pathogenesis of dermatomyositis and systemic lupus erythematosus – see Interferon-alpha/beta-Mediated Innate Immune Mechanisms in Dermatomyositis.