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Issue title: Systems Biology of Biomarkers
Article type: Research Article
Authors: Sharon, Donald | Chen, Rui | Snyder, Michael
Affiliations: Department of Molecular, Cellular and Developmental Biology, Yale University, New Haven, CT, USA | Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
Note: [] Corresponding author: Michael Snyder, 300 Pasteur Drive, Alway M-344, Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA. Tel.: +1 650 736 8099; Fax: +1 650 725 1534; E-mail: mpsnyder@stanford.edu
Abstract: Our understanding of human disease and potential therapeutics is improving rapidly. In order to take advantage of these developments it is important to be able to identify disease markers. Many new high-throughput genomics and proteomics technologies are being implemented to identify candidate disease markers. These technologies include protein microarrays, next-generation DNA sequencing and mass spectrometry platforms. Such methods are particularly important for elucidating the repertoire of molecular markers in the genome, transcriptome, proteome and metabolome of patients with diseases such as cancer, autoimmune diseases, and viral infections, resulting from the disruption of many biological pathways. These new technologies have identified many potential disease markers. These markers are expected to be valuable to achieve the promise of truly personalized medicine.
Keywords: Systems biology, disease markers, cancer, autoimmune disease, protein microarray, mass spectrometry, Next-generation sequencing
DOI: 10.3233/DMA-2010-0707
Journal: Disease Markers, vol. 28, no. 4, pp. 209-224, 2010
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