Integrated Omics Analysis of Sjogren’s Syndrome

DOI: 10.5584/jiomics.v2i2.97

Authors

  • Jiye Ai Division of Oral Biology and Medicine, School of Dentistry, University of California, CHS 63-070 10833 Le Conte Ave Los Angeles, CA 90095-1668 USA
  • Sizhe Feng Division of Oral Biology and Medicine, School of Dentistry, University of California, CHS 63-070 10833 Le Conte Ave Los Angeles, CA 90095-1668 USA
  • Kaori Misuno Division of Oral Biology and Medicine, School of Dentistry, University of California, CHS 63-070 10833 Le Conte Ave Los Angeles, CA 90095-1668 USA
  • Shen Hu Division of Oral Biology and Medicine, School of Dentistry, University of California, CHS 63-070 10833 Le Conte Ave Los Angeles, CA 90095-1668 USA

Abstract

Sjögren's syndrome (SS) is a chronic autoimmune disorder clinically characterized by dry mouth and eyes. The pathogenic mechanism of SS is inadequately understood and a long delay from the start of the symptoms to final diagnosis has been frequently observed. In this paper, we aim to provide an overview about using omics technologies to discover biomarkers for SS diagnosis and understand potential pathways underlying SS pathogenesis. Omics databases relevant to SS such as Sjögren’s Syndrome Knowledge Base, Saliva Ontology and SDxMart are also discussed.

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Published

2021-02-18

Issue

Vol. 2 No. 2 (2012): Vol 2, No 2 (2012)

Section

Reviews