High-throughput, genome-wide analytical technologies are now commonly used in all fields of medical research. The most commonly applied of these technologies, gene expression microarrays, have been shown to be both accurate and precise when properly implemented. For over a decade, microarrays have provided novel insight into many complex human diseases. Microarray-based discovery can be classified into three components, biomarker detection, disease (sub)classification and identification of causal mechanism, in order of accomplishment. Within the respiratory system, the application of microarrays has achieved significant success in all components, particularly with respect to lung cancer. Numerous studies over the last half-decade have applied this technology to the characterization of non-malignant respiratory diseases, animal models of respiratory disease and normal developmental processes. Studies of obstructive lung diseases by many groups, including our own, have yielded not only disease biomarkers, but also some novel putative pathogenic mechanisms. We have successfully used an integrative genomics approach, combining microarray analysis with human genetics, to identify susceptibility genes for COPD (chronic obstructive pulmonary disease). Interestingly, we find that the assessment of quantitative phenotypic variables enhances gene discovery. Our studies contribute to the identification of obstructive lung disease biomarkers, provide data associated with disease phenotypes and support the use of an integrated approach to move beyond marker identification to mechanism discovery.
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August 2009
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Conference Article|
July 22 2009
Array of hope: expression profiling identifies disease biomarkers and mechanism
Soumyaroop Bhattacharya;
Soumyaroop Bhattacharya
1Division of Neonatology and Center for Pediatric Biomedical Research, University of Rochester, 601 Elmwood Avenue, Box 850, Rochester, NY 14642, U.S.A.
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Thomas J. Mariani
Thomas J. Mariani
1
1Division of Neonatology and Center for Pediatric Biomedical Research, University of Rochester, 601 Elmwood Avenue, Box 850, Rochester, NY 14642, U.S.A.
1To whom correspondence should be addressed (email tom_mariani@urmc.rochester.edu).
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Publisher: Portland Press Ltd
Received:
February 26 2009
Online ISSN: 1470-8752
Print ISSN: 0300-5127
© The Authors Journal compilation © 2009 Biochemical Society
2009
Biochem Soc Trans (2009) 37 (4): 855–862.
Article history
Received:
February 26 2009
Citation
Soumyaroop Bhattacharya, Thomas J. Mariani; Array of hope: expression profiling identifies disease biomarkers and mechanism. Biochem Soc Trans 1 August 2009; 37 (4): 855–862. doi: https://doi.org/10.1042/BST0370855
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