01764nas a2200169   4500008004100000245006700041210006700108300001100175490000800186520121300194100001501407700001601422700001601438700001701454700001701471856010601488       2001                        eng d00aMethods and approaches in the analysis of gene expression data0 aMethods and approaches in the analysis of gene expression data  a93-1120 v2503 a<p>The application of high-density DNA array technology to monitor gene transcription has been responsible for a real paradigm shift in biology. The majority of research groups now have the ability to measure the expression of a significant proportion of the human genome in a single experiment, resulting in an unprecedented volume of data being made available to the scientific community. As a consequence of this, the storage, analysis and interpretation of this information present a major challenge. In the field of immunology the analysis of gene expression profiles has opened new areas of investigation. The study of cellular responses has revealed that cells respond to an activation signal with waves of co-ordinated gene expression profiles and that the components of these responses are the key to understanding the specific mechanisms which lead to phenotypic differentiation. The discovery of ’cell type specific’ gene expression signatures have also helped the interpretation of the mechanisms leading to disease progression. Here we review the principles behind the most commonly used data analysis methods and discuss the approaches that have been employed in immunological research.</p>1 aDopazo, J.1 aZanders, E.1 aDragoni, I.1 aAmphlett, G.1 aFalciani, F.  uhttp://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=11251224