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.
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The authors would like to thank S. Presnell, M. C. Altman and E. Whalen for input and comments, B. Norris for editorial help, and C. Quinn, S. Presnell, K. Domico, E. Whalen, A. Bjork and B. Zeitner for the development of web tools. N.B. and D.C. are supported by US National Institutes of Health grants U01AI082110, U19-AI089987, U19-AI08998 and U19-AI057234. The authors apologize to those in the field whose important work was not cited here because of space limitations.
The authors are listed as inventors on patent applications and they receive funding from grants to support their research from the National Institute of Allergy and Infectious Diseases, National Institute of Health, USA.
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Chaussabel, D., Baldwin, N. Democratizing systems immunology with modular transcriptional repertoire analyses. Nat Rev Immunol 14, 271–280 (2014). https://doi.org/10.1038/nri3642
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