gene expression profiles identify inflammatory signatures in dendritic cells在树突细胞基因表达谱确定炎症签名.pdfVIP

Gene Expression Profiles Identify Inflammatory Signatures in Dendritic Cells 1. 2. 1 1 2 Anna Torri , Ottavio Beretta , Anna Ranghetti , Francesca Granucci , Paola Ricciardi-Castagnoli , Maria Foti1* 1 Department of Biotechnology and Bioscience, University of Milano-Bicocca, Milan, Italy, 2 Singapore Immunology Network, Singapore, Singapore Abstract Dendritic cells (DCs) constitute a heterogeneous group of antigen-presenting leukocytes important in activation of both innate and adaptive immunity. We studied the gene expression patterns of DCs incubated with reagents inducing their activation or inhibition. Total RNA was isolated from DCs and gene expression profiling was performed with oligonucleotide microarrays. Using a supervised learning algorithm based on Random Forest, we generated a molecular signature of inflammation from a training set of 77 samples. We then validated this molecular signature in a testing set of 38 samples. Supervised analysis identified a set of 44 genes that distinguished very accurately between inflammatory and non inflammatory samples. The diagnostic performance of the signature genes was assessed against an independent set of samples, by qRT-PCR. Our findings suggest that the gene expression signature of DCs can provide a molecular classification for use in the selection of anti-inflammatory or adjuvant molecules with specific effects on DC activity. Citation: Torri A, Beretta O, Ranghetti A, Granucci F, Ricciardi-Castagnoli P, et al. (2010) Gene Expression Profiles Identify Inflammatory Signatures in Dendritic Cells. PLoS ONE 5(2): e9404. doi:10.1371/journal.pone.0009404 ˜ Editor: