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. © 2010 Torri et al.

Torri, A., Beretta, O., Ranghetti, A., Granucci, F., Castagnoli, P., Foti, M. (2010). Gene expression profiles identify inflammatory signatures in dendritic cells. PLOS ONE, 5(2), e9404 [10.1371/journal.pone.0009404].

Gene expression profiles identify inflammatory signatures in dendritic cells

GRANUCCI, FRANCESCA;CASTAGNOLI, PAOLA;FOTI, MARIA
2010

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. © 2010 Torri et al.
Articolo in rivista - Articolo scientifico
Dendritic cells, inflammatory signatures, class prediction, functional genomics, innate immunity
English
2010
5
2
e9404
e9404
none
Torri, A., Beretta, O., Ranghetti, A., Granucci, F., Castagnoli, P., Foti, M. (2010). Gene expression profiles identify inflammatory signatures in dendritic cells. PLOS ONE, 5(2), e9404 [10.1371/journal.pone.0009404].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/16026
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