Systems biology at its best fightly couples experimental biology with modeling methodologies. Experimental later keep the theories generated through computation realistic;carefully constructed mathematical models 'can generate new testable hypotheses. Achieving this balance, however, demands interdisciplinary collaborations such as set up in the CHAIN Center, and the experience and skills as available in this Core. The Systems Biology and Integrative Networks Core (SB-INC, aka Systems Biology Core) is to enable genome-scale technology and state-of-the-art bioinformafic tools for the study of neuroAIDS. CHAIN researchers can to collect or analyze genome-scale data though active collaboration with members of the SB-INC Available experimental platforms include RNA-seq, chlP-seq, and protein interacfion screens via Y2H and M2H. Available bioinformatic technologies include clustering and classificafion of gene expression or metabolomic profiles, integrafion of molecular profiles with molecular networks, and identification of network-based biomarkers. SB-INC will also support research and development centered on combinatorial transcriptional interacfion maps. We will map the transcripfional networks underlying developmental processes of high relevance to neuroAIDS, including neuronal degenerafion and protection and activation and differentiation of macrophages. Through these methods we will develop network-based biomarkers to predict the potential for development of neuroAIDS, the presence of neuroAIDS, and response to treatment
Systems biology approaches are ideal for the analysis of complex systems such as chronic HIV infection and the brain. This Core provides world-class resources , skills, and experimental approaches for the study neuroAIDS.
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