AI Article Synopsis
- The study performed a meta-analysis of 4,500 cDNA microarray data from patients with systemic lupus erythematosus (SLE) and rheumatoid arthritis (RA) to identify gene expression patterns.
- Using statistical tools like the SAM program, researchers analyzed the data to distinguish between gene expressions in SLE and RA, highlighting both common and unique gene patterns associated with each disease.
- The findings enhance the understanding of the different and shared genetic mechanisms underlying SLE and RA, potentially informing future research and treatment strategies.
Article Abstract
Consensus gene expression profiling by meta-analysis of 4,500 cDNA sequence microarray data obtained from patients with systemic lupus erythematosus (SLE) and rheumatoid arthritis (RA) was assembled and systematically analyzed. The normalized data were statistically analyzed by the significance analysis of microarray (SAM) program (false discovery rate
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http://dx.doi.org/10.1196/annals.1423.005 DOI Listing Publication Analysis
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