MP systems concepts will be revisited, in more general terms, by stressing their special role in solving dynamical inverse problems. Then, a main application of MP systems to Systems Biology will be outlined, which concerns gene expression in breast cancer (in cooperation with Karmanos Cancer Institute, Wayne State University, Detroit MI, USA). From recent experimental results developed at KCI, it follows that MP systems can provide ”good” models of pathological phenomena, where good, in this case, means useful to oncologists. In fact, the MP systems methodology has identified previously unknown intermediaries in a breast cancer cell-specific signaling circuit. This could provide a significant contribution to the task of mapping complete oncogenic signaling networks to improve cancer treatments.
MP systems for systems biology
MANCA, Vincenzo
2012-01-01
Abstract
MP systems concepts will be revisited, in more general terms, by stressing their special role in solving dynamical inverse problems. Then, a main application of MP systems to Systems Biology will be outlined, which concerns gene expression in breast cancer (in cooperation with Karmanos Cancer Institute, Wayne State University, Detroit MI, USA). From recent experimental results developed at KCI, it follows that MP systems can provide ”good” models of pathological phenomena, where good, in this case, means useful to oncologists. In fact, the MP systems methodology has identified previously unknown intermediaries in a breast cancer cell-specific signaling circuit. This could provide a significant contribution to the task of mapping complete oncogenic signaling networks to improve cancer treatments.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
