| Literature DB >> 18631455 |
Damien Chaussabel1, Charles Quinn, Jing Shen, Pinakeen Patel, Casey Glaser, Nicole Baldwin, Dorothee Stichweh, Derek Blankenship, Lei Li, Indira Munagala, Lynda Bennett, Florence Allantaz, Asuncion Mejias, Monica Ardura, Ellen Kaizer, Laurence Monnet, Windy Allman, Henry Randall, Diane Johnson, Aimee Lanier, Marilynn Punaro, Knut M Wittkowski, Perrin White, Joseph Fay, Goran Klintmalm, Octavio Ramilo, A Karolina Palucka, Jacques Banchereau, Virginia Pascual.
Abstract
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.Entities:
Mesh：
Year: 2008 PMID： 18631455 PMCID： PMC2727981 DOI： 10.1016/j.immuni.2008.05.012
Source DB: PubMed Journal: Immunity ISSN： 1074-7613 Impact factor: 31.745