Cited by 655Gene expression and cancer classificationSystemic Lupus Erythematosus ResearchBioinformatics and Genomic Networks

A Modular Analysis Framework for Blood Genomics Studies: Application to Systemic Lupus Erythematosus

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Chaussabel, Damien, Quinn, Charles, Shen, Jing, Patel, Pinakeen, Glaser, Casey, Baldwin, Nicole, Stichweh, Dorothee, Blankenship, Derek +21 more·2008·Immunity

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.

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Crossref · 10.1016/j.immuni.2008.05.012

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  • Various blood disorders correlate with extreme values for the major vectors of modules of gene expression.

    “By contrast, various blood disorders have been shown to correlate with extreme values for the major vectors of modules of gene expression92.”

    From Rare and common variants: twenty arguments (2012) · cites this paper as [92]

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Authors
Chaussabel, D., Quinn, C., Shen, J., Patel, P., Glaser, C., Baldwin, N., Stichweh, D., Blankenship, D., Li, L., Munagala, I., Bennett, L., Allantaz, F., Mejias, A., Ardura, M., Kaizer, E., Monnet, L., Allman, W., Randall, H., Johnson, D., Lanier, A., Punaro, M., Wittkowski, K. M., White, P., Fay, J., Klintmalm, G., Ramilo, O., Palucka, A. K., Banchereau, J., & Pascual, V.
Affiliations
  • National Institute of Allergy and Infectious Diseases (US)
  • Baylor University (US)
  • Baylor Scott & White Health (US)
  • Children's Medical Center (US)
  • Rockefeller University (US)
Corresponding author
  • Chaussabel, Damien
  • Banchereau, Jacques
Venue
Immunity
Publisher
Elsevier BV
Published
2008-07
Volume
29
Issue
1
Pages
150-164
ISSN
1074-7613 (ISSN-L)
OpenAlex
W2150932450
Cited by
649
References
49
Citations by year
2026: 21 · 2025: 18 · 2024: 25 · 2023: 30 · 2022: 26 · 2021: 50 · 2020: 40 · 2019: 42 · 2018: 42 · 2017: 32 · 2016: 46 · 2015: 47 · 2014: 37 · 2013: 52 · 2012: 41
FWCI
13.70
Type
journal article
Language
en
Open access
Locations
  • Immunity (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • U.S. Public Health Service (U19 AIO57234-02, R01 I068842)
  • National Cancer Institute (P01CA084512, R01CA078846)
  • National Institute of Allergy and Infectious Diseases (U19AI057234, R01AI068842)
  • National Institute of Arthritis and Musculoskeletal and Skin Diseases (R01AR050770, P50AR055503, P50AR054083)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene expression and cancer classification
  • Health Sciences › Medicine › Rheumatology › Systemic Lupus Erythematosus Research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
Keywords
systemic lupus erythematosus, transcriptional modules, gene expression profiling, microarray data analysis, biomarker discovery, immune system, blood transcriptome
MeSH terms
Adolescent, Child, Female, Humans, Lupus Erythematosus, Systemic, Male, Disease Progression, Computational Biology, Oligonucleotide Array Sequence Analysis, Gene Expression Profiling, Genomics

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