Pregled bibliografske jedinice broj: 147672
Plant Defence Signaling Network Inference Using Knowledge - Based Perturbations and Global Gene Expression Analysis
Plant Defence Signaling Network Inference Using Knowledge - Based Perturbations and Global Gene Expression Analysis // Proceedings of the International Conference "Pathways, Networks, and Systems: Theory and Experiments" / Aegean Conferences Series (ur.).
Santorini: The Nomikos Center, 2003. str. 54-54 (poster, međunarodna recenzija, sažetak, znanstveni)
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Naslov
Plant Defence Signaling Network Inference Using Knowledge - Based Perturbations and Global Gene Expression Analysis
Autori
Genoud, Thierry ; Kulišić, Tea ; Trevino Santa Cruz, Marcela ; Metraux, Jean Pierre ; Pufky, Jean
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
Proceedings of the International Conference "Pathways, Networks, and Systems: Theory and Experiments"
/ Aegean Conferences Series - Santorini : The Nomikos Center, 2003, 54-54
Skup
Pathways, Networks and Systems: Theory and Experiment
Mjesto i datum
Santorini, Grčka, 29.09.2003. - 02.10.2003
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
plant defence; signalling network
(plant defence signalling network)
Sažetak
In Arabidopsis three main signaling compounds activate the plant responses to pathogen attack: salicylic acid (SA), ethylene (ET), and jasmonic acid (JA). These substances and their different combinations can modulate the activation of groups of particular and/or similar genes. In order to determine the complexity of stimuli interpretation and to reconstitute the structure of the defense signaling network in Arabidopsis, we performed global analysis of gene expression (using microarray technology) of plants submitted to exogenous treatment with SA, ET, and JA, as well as their combinations (SA+JA, SA+ET, JA+ET, SA+JA+ET). Our concept of clustering is founded on preestablished signaling/genetic knowledge coupled with a set of highly significant perturbations allowing us to group genes in regulons with a high biological connectivity. The resulting classes determine the circuits of interpretation/combinations of cell defense signals. They have been inferred as minimal logical circuits, and represented in a Boolean formalism. In order to produce a representation of these statistical circuits inside a single graphical model, and to perform qualitative digital simulation, we developed a method for bio-digital circuits concatenation. As a first interesting result, signaling network analysis suggests that virulent pathogens block part of the defense signaling network in a semi specific manner.
Izvorni jezik
Engleski
Znanstvena područja
Prehrambena tehnologija
POVEZANOST RADA
