Rheumatology

Michael Barnes, PhD

Title

Research Associate

Director, Cincinnati Biorepository

Email

michael.barnes@cchmc.org

Phone

513-636-1319

Fax

513-636-3328

Credentials

PhD: University of Cincinnati, Cincinnati, OH, 2001.
BS: Gettysburg College, Gettysburg, PA, 1991.

Research

Juvenile Rheumatoid Arthritis (JRA); microarray; gene expression

Publications, Most Recent

Barnes MG, Grom AA, Thompson SD, Griffin TA, Pavlidis P, Itert L, et al. Subtype-specific peripheral blood gene expression profiles in recent onset juvenile idiopathic arthritis. Arthritis Rheum, 2009 (in press).

Griffin TA, Barnes MG, Ilowite N, Olson J, Sherry D, Gottlieb B, et al. Gene expression signatures in polyarticular juvenile idiopathic arthritis demonstrate disease heterogeneity and offer a molecular classification of disease subsets. Arthritis Rheum, 2009 (in press).

Smith JA, Barnes MG, Hong D, DeLay ML, Inman RD, Colbert RA. Gene expression analysis of macrophages derived from ankylosing spondylitis patients reveals interferon-gamma dysregulation. Arthritis Rheum, Vol# 58, No. 6, pp. 1640-9, 2008.

Wong HR, Shanley TP, Sakthivel B, Cvijanovich N, Lin R, Allen GL, Thomas NJ, Doctor A, Kalyanaraman M, Tofil NM, Penfil S, Monaco M, Tagavilla MA, Odoms K, Dunsmore K, Barnes M, Aronow BJ. Genome-level expression profiles in pediatric septic shock indicate a role for altered zinc homeostasis in poor outcome. Physiol Genomics, Vol# 30, No. 2, pp. 146-55, 2007.

Shanley TP, Cvijanovich N, Lin R, Allen GL, Thomas NJ, Doctor A, Kalyanaraman M, Tofil NM, Penfil S, Monaco M, Odoms K, Barnes M, Sakthivel B, Aronow BJ, Wong HR Genome-level longitudinal expression of signaling pathways and gene networks in pediatric septic shock. Mol Med, Vol# 13, No. 9-10, pp. 495-508, 2007.

Fall N, Barnes M, Thornton S, Luyrink L, Olson J, Ilowite NT, et al. Gene expression profiling of peripheral blood from patients with untreated new-onset systemic juvenile idiopathic arthritis reveals molecular heterogeneity that may predict macrophage activation syndrome. Arthritis Rheum, Vol# 56, No.11, pp. 3793-804, 2007.

Meller J, Adamczak R, Scola M, Barnes M, Thompson S, Passo M, et al. Machine learning analysis of expression profiles of synovial tissue cytokines helps identify patients with systemic onset juvenile rheumatoid arthritis. IEmmert-Streib F, Dehmer M, editors. Applications of Statistical and Machine Learning in Bioinformatics: Advances in Computational and Systems Biology. New York: Peter Lang, 2007.