Abstract
The development of Functional Genomics technologies has opened new avenues to investigate the complexity of the immune system. Microarray technology has been particularly successful because of its relatively low cost and high genome coverage. Consequently to our ability to monitor the expression of a significant proportion of an organism genome, our understanding of the molecular dynamics behind cell differentiation and cell response has greatly improved. Molecular signatures associated to immune cells have provided important tools to investigate the molecular basis of diseases and have been often associated to diagnostic and prognostic markers. The availability of such large collection of data has stimulated the application of complex machine learning techniques in the attempt to link molecular signatures and cell physiology. Here we review the most recent developments in the analysis of molecular signatures in the immune system.
Keywords: microarray, gene expression profiling, immune system, lymphocytes, bioinformatics
Combinatorial Chemistry & High Throughput Screening
Title: Making Sense of Molecular Signatures in The Immune System
Volume: 7 Issue: 3
Author(s): Nicholas J. Davies, Mahlet G. T. Tadesse, Marina Vannucci, Hugh Kikuchi, Victor Trevino, Donatella Sarti, Ilaria Dragoni, Andrea Contestabile, Edward Zanders and Francesco Falciani
Affiliation:
Keywords: microarray, gene expression profiling, immune system, lymphocytes, bioinformatics
Abstract: The development of Functional Genomics technologies has opened new avenues to investigate the complexity of the immune system. Microarray technology has been particularly successful because of its relatively low cost and high genome coverage. Consequently to our ability to monitor the expression of a significant proportion of an organism genome, our understanding of the molecular dynamics behind cell differentiation and cell response has greatly improved. Molecular signatures associated to immune cells have provided important tools to investigate the molecular basis of diseases and have been often associated to diagnostic and prognostic markers. The availability of such large collection of data has stimulated the application of complex machine learning techniques in the attempt to link molecular signatures and cell physiology. Here we review the most recent developments in the analysis of molecular signatures in the immune system.
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Cite this article as:
Davies J. Nicholas, Tadesse T. Mahlet G., Vannucci Marina, Kikuchi Hugh, Trevino Victor, Sarti Donatella, Dragoni Ilaria, Contestabile Andrea, Zanders Edward and Falciani Francesco, Making Sense of Molecular Signatures in The Immune System, Combinatorial Chemistry & High Throughput Screening 2004; 7 (3) . https://dx.doi.org/10.2174/1386207043328805
DOI https://dx.doi.org/10.2174/1386207043328805 |
Print ISSN 1386-2073 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5402 |
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