Unifying immunology with informatics and multiscale biology

被引:108
作者
Kidd, Brian A. [1 ,2 ,3 ]
Peters, Lauren A. [3 ,4 ]
Schadt, Eric E. [1 ,2 ,3 ]
Dudley, Joel T. [1 ,2 ,3 ]
机构
[1] Dept Genet & Genom Sci, New York, NY 10029 USA
[2] Icahn Inst Genom & Multiscale Biol, New York, NY USA
[3] Icahn Sch Med Mt Sinai, New York, NY USA
[4] Grad Sch Biomed Sci, New York, NY USA
关键词
DIFFERENTIAL EXPRESSION ANALYSIS; CHIP-SEQ EXPERIMENTS; HLA CLASS-I; GENE-EXPRESSION; SYSTEMS-BIOLOGY; HIGH-THROUGHPUT; REGULATORY NETWORKS; ENRICHMENT ANALYSIS; MASS CYTOMETRY; RNA-SEQ;
D O I
10.1038/ni.2787
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
071005 [微生物学]; 100108 [医学免疫学];
摘要
The immune system is a highly complex and dynamic system. Historically, the most common scientific and clinical practice has been to evaluate its individual components. This kind of approach cannot always expose the interconnecting pathways that control immune-system responses and does not reveal how the immune system works across multiple biological systems and scales. High-throughput technologies can be used to measure thousands of parameters of the immune system at a genome-wide scale. These system-wide surveys yield massive amounts of quantitative data that provide a means to monitor and probe immune-system function. New integrative analyses can help synthesize and transform these data into valuable biological insight. Here we review some of the computational analysis tools for high-dimensional data and how they can be applied to immunology.
引用
收藏
页码:118 / 127
页数:10
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