Understanding Human Autoimmunity and Autoinflammation Through Transcriptomics

被引：63

作者：

Banchereau, Romain ^{[1
]}

Cepika, Alma-Martina ^{[1
]}

Banchereau, Jacques ^{[2
]}

Pascual, Virginia ^{[1
]}

机构：

[1] Baylor Inst Immunol Res, Dallas, TX 75204 USA

[2] Jackson Lab Genom Med, Farmington, CT 06030 USA

来源：

ANNUAL REVIEW OF IMMUNOLOGY, VOL 35 | 2017年 / 35卷

关键词：

autoimmunity; autoinflammation; transcriptomics; mechanisms; patient stratification; therapeutic targets; SYSTEMIC-LUPUS-ERYTHEMATOSUS; JUVENILE IDIOPATHIC ARTHRITIS; PERIPHERAL-BLOOD CELLS; ALPHA MONOCLONAL-ANTIBODY; GENE-EXPRESSION PATTERNS; PLACEBO-CONTROLLED TRIAL; I INTERFERON SIGNATURE; REGULATORY FACTOR 5; ZETA MESSENGER-RNA; RHEUMATOID-ARTHRITIS;

D O I：

10.1146/annurev-immunol-051116-052225

中图分类号：

R392 [医学免疫学]; Q939.91 [免疫学];

学科分类号：

100102 ;

摘要：

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.

引用

页码：337 / 370

页数：34

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