Volume 60, Issue 1 pp. 81-92
Sjögrens Syndrome

Systems biology analysis of sjögren's syndrome and mucosa-associated lymphoid tissue lymphoma in parotid glands

Shen Hu

Shen Hu

University of California, Los Angeles

Drs. Hu, Zhou, Jiang, and Wang contributed equally to this work.

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Michael Zhou

Michael Zhou

University of California, Los Angeles

Drs. Hu, Zhou, Jiang, and Wang contributed equally to this work.

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Jiang Jiang

Jiang Jiang

University of California, Los Angeles

Drs. Hu, Zhou, Jiang, and Wang contributed equally to this work.

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Jianghua Wang

Jianghua Wang

University of California, Los Angeles

Drs. Hu, Zhou, Jiang, and Wang contributed equally to this work.

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David Elashoff

David Elashoff

University of California, Los Angeles

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Sven Gorr

Sven Gorr

University of Louisville, Louisville, Kentucky

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Sara A. Michie

Sara A. Michie

Stanford University, Stanford, California

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Fred K. L. Spijkervet

Fred K. L. Spijkervet

University Medical Center Groningen, Groningen, The Netherlands

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Hendrika Bootsma

Hendrika Bootsma

University Medical Center Groningen, Groningen, The Netherlands

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Cees G. M. Kallenberg

Cees G. M. Kallenberg

University Medical Center Groningen, Groningen, The Netherlands

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Arjan Vissink

Arjan Vissink

University Medical Center Groningen, Groningen, The Netherlands

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Steve Horvath

Steve Horvath

University of California, Los Angeles

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David T. Wong

Corresponding Author

David T. Wong

University of California, Los Angeles

School of Dentistry, University of California, Los Angeles, CA 90095-1668Search for more papers by this author
First published: 30 December 2008
Citations: 61

Abstract

Objective

To identify key target genes and activated signaling pathways associated with the pathogenesis of Sjögren's syndrome (SS) by conducting a systems analysis of parotid glands manifesting primary SS or primary SS/mucosa-associated lymphoid tissue (MALT) lymphoma phenotypes.

Methods

A systems biology approach was used to analyze parotid gland tissue samples obtained from patients with primary SS, patients with primary SS/MALT lymphoma, and subjects without primary SS (non–primary SS controls). The tissue samples were assessed concurrently by gene-expression microarray profiling and proteomics analysis, followed by weighted gene-coexpression network analysis.

Results

Gene-coexpression modules related to primary SS and primary SS/MALT lymphoma were significantly enriched with genes known to be involved in the immune/defense response, apoptosis, cell signaling, gene regulation, and oxidative stress. Detailed functional pathway analyses indicated that primary SS–associated modules were enriched with genes involved in proteasome degradation, apoptosis, signal peptides of the class I major histocompatibility complex (MHC), complement activation, cell growth and death, and integrin-mediated cell adhesion, while primary SS/MALT lymphoma–associated modules were enriched with genes involved in translation, ribosome biogenesis and assembly, proteasome degradation, class I MHC signal peptides, the G13 signaling pathway, complement activation, and integrin-mediated cell adhesion. Combined analyses of gene expression and proteomics data implicated 6 highly connected “hub” genes for distinguishing primary SS from non–primary SS, and 8 hub genes for distinguishing primary SS/MALT lymphoma from primary SS.

Conclusion

Systems biology analyses of the parotid glands from patients with primary SS and those with primary SS/MALT lymphoma revealed pathways and molecular targets associated with disease pathogenesis. The identified gene modules/pathways provide further insights into the molecular mechanisms of primary SS and primary SS/MALT lymphoma. The identified disease-hub genes represent promising targets for therapeutic intervention, diagnosis, and prognosis.

The full text of this article hosted at iucr.org is unavailable due to technical difficulties.

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