A modular analysis framework for blood genomics studies: Application to systemic lupus erythematosus

被引:505
作者
Chaussabel, Damien [1 ,2 ]
Quinn, Charles [1 ,2 ]
Shen, Jing [1 ,2 ]
Patel, Pinakeen [1 ,2 ,3 ]
Glaser, Casey [1 ,2 ]
Baldwin, Nicole [1 ,2 ]
Stichweh, Dorothee [1 ,2 ]
Blankenship, Derek [4 ]
Li, Lei [1 ,2 ]
Munagala, Indira [1 ,2 ]
Bennett, Lynda [1 ,2 ]
Allantaz, Florence [1 ,2 ]
Mejias, Asuncion [5 ,6 ]
Ardura, Monica [5 ,6 ]
Kaizer, Ellen [5 ,6 ]
Monnet, Laurence [1 ,2 ]
Allman, Windy [1 ,2 ]
Randall, Henry [7 ]
Johnson, Diane [7 ]
Lanier, Aimee [7 ]
Punaro, Marilynn [5 ,6 ,8 ]
Wittkowski, Knut M. [9 ]
White, Perrin [5 ,6 ]
Fay, Joseph [1 ,2 ,10 ]
Klintmalm, Goran [7 ]
Ramilo, Octavio [5 ,6 ]
Palucka, A. Karolina [1 ,2 ]
Banchereau, Jacques [1 ,2 ]
Pascual, Virginia [1 ,2 ,8 ]
机构
[1] Baylor Inst Immunol Res, Baylor NIAID Cooperat Ctr Translat Res Human Immu, Dallas, TX 75204 USA
[2] Baylor Res Inst, Dallas, TX 75204 USA
[3] Baylor Univ, Inst Biomed Studies, Waco, TX 75798 USA
[4] Baylor Hlth Care System, Inst Hlth Care Res & Improvement, Dallas, TX 75204 USA
[5] UT SW Med Ctr, Dallas, TX 75235 USA
[6] Childrens Med Ctr, Dallas, TX 75235 USA
[7] Baylor Reg Transplant Inst, Dallas, TX 75219 USA
[8] Texas Scottish Rite Hosp Children, Dallas, TX 75219 USA
[9] Rockefeller Univ, New York, NY 10021 USA
[10] Charles A Sammons Canc Ctr, Dallas, TX 75204 USA
关键词
D O I
10.1016/j.immuni.2008.05.012
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
The analysis of patient blood transcriptional profiles offers a means to investigate the immunological mechanisms relevant to human diseases on a genome-wide scale. In addition, such studies provide a basis for the discovery of clinically relevant biomarker signatures. We designed a strategy for microarray analysis that is based on the identification of transcriptional modules formed by genes coordinately expressed in multiple disease data sets. Mapping changes in gene expression at the module level generated disease-specific transcriptional fingerprints that provide a stable framework for the visualization and functional interpretation of microarray data. These transcriptional modules were used as a basis for the selection of biomarkers and the development of a multivariate transcriptional indicator of disease progression in patients with systemic lupus erythematosus. Thus, this work describes the implementation and application of a methodology designed to support systems-scale analysis of the human immune system in translational research settings.
引用
收藏
页码:150 / 164
页数:15
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