Profiling Meta-Analysis Reveals Primarily Gene Coexpression Concordance between Systemic Lupus Erythematosus and Rheumatoid Arthritis

  1. GUILHERME L. SILVA1,†,
  2. CRISTINA M. JUNTA1,†,
  3. STEPHANO S. MELLO2,
  4. PAULA S. GARCIA1,
  5. DIANE M. RASSI3,
  6. ELZA T. SAKAMOTO-HOJO2,
  7. EDUARDO A. DONADI3,
  8. GERALDO A. S. PASSOS1,4

Article first published online: 27 SEP 2007

DOI: 10.1196/annals.1423.005

Issue

Annals of the New York Academy of Sciences

Annals of the New York Academy of Sciences

Additional Information

How to Cite

SILVA, G. L., JUNTA, C. M., MELLO, S. S., GARCIA, P. S., RASSI, D. M., SAKAMOTO-HOJO, E. T., DONADI, E. A. and PASSOS, G. A. S. (2007), Profiling Meta-Analysis Reveals Primarily Gene Coexpression Concordance between Systemic Lupus Erythematosus and Rheumatoid Arthritis. Annals of the New York Academy of Sciences, 1110: 33–46. doi: 10.1196/annals.1423.005

Author Information

  1. 1

    Molecular Immunogenetics Group, Faculty of Medicine of Ribeirão Preto, University of São Paulo, Ribeirão Preto, São Paulo, Brazil

  2. 2

    Laboratory of Cytogenetics and Mutagenesis, Department of Genetics, Faculty of Medicine of Ribeirão Preto, University of São Paulo, Ribeirão Preto, São Paulo, Brazil

  3. 3

    Division of Clinical Immunology, Department of Medicine, Faculty of Medicine of Ribeirão Preto, University of São Paulo, Ribeirão Preto, São Paulo, Brazil

  4. 4

    Discipline of Genetics, Faculty of Dentistry of Ribeirão Preto, University of São Paulo, Ribeirão Preto, São Paulo, Brazil

  1. †

    These authors contributed equally to this study.

*Address for correspondence: Dr. Geraldo A. S. Passos, Department of Genetics, Faculty of Medicine of Ribeirão Preto, University of São Paulo, 14040-900, Ribeirão Preto, SP, Brazil. Voice: +55-16-3602-3030; fax: +55-16-3633-0069.  passos@rge.fmrp.usp.br

Publication History

  1. Issue published online: 27 SEP 2007
  2. Article first published online: 27 SEP 2007

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Keywords:

  • systemic lupus erythematosus;
  • rheumatoid arthritis;
  • cDNA microarray meta-analysis

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 ≤ 0.01). Patient data input was realized together, in the Cluster and Tree-View program, using the unsupervised function. Individual expression signatures permitted a hierarchical clustering of samples, separately identifying SLE and RA patients and the transcriptome profiling featured modules of the specifically induced or repressed and the comodulated genes. Gene expression profiling meta-analysis showed that patients with SLE or RA share gene modulation but also present genes whose expression patterns are exclusive (induced or repressed) in corroboration with their clinical features. Among the genes that were differentially expressed, we found those that could play specific roles in these two diseases. This approach permits a clearer understanding of the molecular basis of SLE and RA concordance/divergence.

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