Democratizing systems immunology with modular transcriptional repertoire analyses

被引:165
作者
Chaussabel, Damien [1 ]
Baldwin, Nicole [2 ]
机构
[1] Benaroya Res Inst, Syst Immunol Div, Seattle, WA 98101 USA
[2] Baylor Res Inst, Baylor Inst Immunol Res, Dallas, TX 75204 USA
基金
美国国家卫生研究院;
关键词
REGULATORY NETWORK ANALYSIS; GENE-COEXPRESSION NETWORK; YELLOW-FEVER VACCINE; MEMORY T-CELLS; IMMUNE-SYSTEM; DENDRITIC CELLS; B-CELLS; HUMANS; DIFFERENTIATION; SIGNATURE;
D O I
10.1038/nri3642
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
Individual elements that constitute the immune system have been characterized over the few past decades, mostly through reductionist approaches. The introduction of large-scale profiling platforms has more recently facilitated the assessment of these elements on a global scale. However, the analysis and the interpretation of such large-scale datasets remains a challenge and a barrier for the wider adoption of systems approaches in immunological and clinical studies. In this Innovation article, we describe an analytical strategy that relies on the a priori determination of co-dependent gene sets for a given biological system. Such modular transcriptional repertoires can in turn be used to simplify the analysis and the interpretation of large-scale datasets, and to design targeted immune fingerprinting assays and web applications that will further facilitate the dissemination of systems approaches in immunology.
引用
收藏
页码:271 / 280
页数:10
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