Understanding human autoimmunity and autoinflammation through transcriptomics Academic Article uri icon

Overview

MeSH Major

  • Immunologic Deficiency Syndromes
  • Interleukin-1 Receptor-Associated Kinases
  • Mutation
  • Myeloid Differentiation Factor 88

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.

publication date

  • April 26, 2017

Research

keywords

  • Academic Article

Identity

Language

  • eng

Digital Object Identifier (DOI)

  • 10.1146/annurev-immunol-051116-052225

PubMed ID

  • 28142321

Additional Document Info

start page

  • 337

end page

  • 370

volume

  • 35