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001-es BibID:BIBFORM014116
Első szerző:Cavalieri, Duccio
Cím:DC-ATLAS : a systems biology resource to dissect receptor specific signal transduction in dendritic cells / Cavalieri Duccio, Rivero Damariz, Beltrame Luca, Buschow Sonja I., Calura Enrica, Rizzetto Lisa, Gessani Sandra, Gauzzi Maria C., Reith Walter, Baur Andreas, Bonaiuti Roberto, Brandizi Marco, De Filippo Carlotta, D'Oro Ugo, Draghici Sorin, Dunand-Sauthier Isabelle, Gatti Evelina, Granucci Francesca, Gündel Michaela, Kramer Matthijs, Kuka Mirela, Lanyi Arpad, Melief Cornelis J. M., van Montfoort Nadine, Ostuni Renato, Pierre Philippe, Popovici Razvan, Rajnavolgyi Eva, Schierer Stephan, Schuler Gerold, Soumelis Vassili, Splendiani Andrea, Stefanini Irene, Torcia Maria G., Zanoni Ivan, Zollinger Raphael, Figdor Carl G., Austyn Jonathan M.
Dátum:2010
ISSN:1745-7580
Megjegyzések:The advent of Systems Biology has been accompanied by the blooming of pathway databases. Currently pathways are defined generically with respect to the organ or cell type where a reaction takes place. The cell type specificity of the reactions is the foundation of immunological research, and capturing this specificity is of paramount importance when using pathway-based analyses to decipher complex immunological datasets. Here, we present DC-ATLAS, a novel and versatile resource for the interpretation of high-throughput data generated perturbing the signaling network of dendritic cells (DCs).RESULTS: Pathways are annotated using a novel data model, the Biological Connection Markup Language (BCML), a SBGN-compliant data format developed to store the large amount of information collected. The application of DC-ATLAS to pathway-based analysis of the transcriptional program of DCs stimulated with agonists of the toll-like receptor family allows an integrated description of the flow of information from the cellular sensors to the functional outcome, capturing the temporal series of activation events by grouping sets of reactions that occur at different time points in well-defined functional modules.CONCLUSIONS: The initiative significantly improves our understanding of DC biology and regulatory networks. Developing a systems biology approach for immune system holds the promise of translating knowledge on the immune system into more successful immunotherapy strategies.
Tárgyszavak:Orvostudományok Elméleti orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
Megjelenés:Immunome Research. - 6 : 10 (2010), p. 1-12. -
További szerzők:Rivero, Damariz Beltrame, Luca Buschow, Sonja I. Calura, Enrica Rizzetto, Lisa Gessani, Sandra Gauzzi, Maria C. Reith, Walter Baur, Andreas Bonaiuti, Roberto Brandizi, Marco De Filippo, Carlotta D'Oro, Ugo Draghici, Sorin Dunand-Sauthier, Isabelle Gatti, Evelina Granucci, Francesca Gündel, Michaela Kramer, Matthijs Kuka, Mirela Lányi Árpád (1962-) (biológus, immunológus) Melief, Cornelis J. M. van Montfoort, Nadine Ostuni, Renato Pierre, Philippe Popovici, Razvan Rajnavölgyi Éva (1950-) (immunológus) Schierer, Stephan Schuler, Gerold Soumelis, Vassili Splendiani, Andrea Stefanini, Irene Torcia, Maria G. Zanoni, Ivan Zollinger, Raphael Figdor, Carl G. Austyn, Jonathan M.
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