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/lp/annual-reviews/understanding-human-autoimmunity-and-autoinflammation-through-3LrUY4DkKP
- Publisher
- Annual Reviews
- Copyright
- Copyright © 2017 by Annual Reviews. All rights reserved
- ISSN
- 0732-0582
- eISSN
- 1545-3278
- DOI
- 10.1146/annurev-immunol-051116-052225
- pmid
- 28142321
- Publisher site
- See Article on Publisher Site
Abstract
Transcriptomics, the high-throughput characterization of RNAs, has been instrumental in defining pathogenic signatures in human autoimmunity and autoinflammation. It enabled the identification of new therapeutic targets in IFN-, IL-1- and IL-17-mediated diseases. Applied to immunomonitoring, transcriptomics is starting to unravel diagnostic and prognostic signatures that stratify patients, track molecular changes associated with disease activity, define personalized treatment strategies, and generally inform clinical practice. Herein, we review the use of transcriptomics to define mechanistic, diagnostic, and predictive signatures in human autoimmunity and autoinflammation. We discuss some of the analytical approaches applied to extract biological knowledge from high-dimensional data sets. Finally, we touch upon emerging applications of transcriptomics to study eQTLs, B and T cell repertoire diversity, and isoform usage.
Journal
Annual Review of Immunology – Annual Reviews
Published: Apr 26, 2017