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Comb Chem High Throughput Screen ; 7(3): 231-8, 2004 May.
Artigo em Inglês | MEDLINE | ID: mdl-15134529

RESUMO

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.


Assuntos
Biologia Computacional , Genômica , Sistema Imunitário/química , Animais , Doenças Autoimunes/imunologia , Perfilação da Expressão Gênica , Humanos , Sistema Imunitário/imunologia , Sistema Imunitário/ultraestrutura , Inflamação/imunologia , Leucemia/imunologia , Linfócitos/imunologia , Linfócitos/metabolismo , Análise de Componente Principal , Análise Serial de Proteínas , Células-Tronco/imunologia , Células-Tronco/metabolismo , Células Estromais/imunologia , Células Estromais/metabolismo
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