Systems biology at its best tightly 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 bioinformatics 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 interaction screens via Y2H and M2H. Available bioinformatic technologies include clustering and classification of gene expression or metabolomic profiles, integration of molecular profiles with molecular networks, and identification of network-based biomarkers. SB-INC will also support research and development centered on combinatorial transcriptional interaction maps. We will map the transcripfional networks underlying developmental processes of high relevance to neuroAIDS, including neuronal degeneration 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.
|Villeneuve, Lance M; Purnell, Phillip R; Stauch, Kelly L et al. (2016) HIV-1 transgenic rats display mitochondrial abnormalities consistent with abnormal energy generation and distribution. J Neurovirol :|
|Li, Weizhe; Tong, Hsin-I; Gorantla, Santhi et al. (2016) Neuropharmacologic Approaches to Restore the Brain's Microenvironment. J Neuroimmune Pharmacol 11:484-94|
|Singh, Dhirender; McMillan, JoEllyn; Hilaire, James et al. (2016) Development and characterization of a long-acting nanoformulated abacavir prodrug. Nanomedicine (Lond) 11:1913-27|
|Sajja, Balasrinivasa R; Bade, Aditya N; Zhou, Biyun et al. (2016) Generation and Disease Model Relevance of a Manganese Enhanced Magnetic Resonance Imaging-Based NOD/scid-IL-2RÎ³c(null) Mouse Brain Atlas. J Neuroimmune Pharmacol 11:133-41|
|Jaeger, Philipp A; Lucin, Kurt M; Britschgi, Markus et al. (2016) Network-driven plasma proteomics expose molecular changes in the Alzheimer's brain. Mol Neurodegener 11:31|
|Bade, Aditya N; Gorantla, Santhi; Dash, Prasanta K et al. (2016) Manganese-Enhanced Magnetic Resonance Imaging Reflects Brain Pathology During Progressive HIV-1 Infection of Humanized Mice. Mol Neurobiol 53:3286-97|
|Zhang, Gang; Guo, Dongwei; Dash, Prasanta K et al. (2016) The mixed lineage kinase-3 inhibitor URMC-099 improves therapeutic outcomes for long-acting antiretroviral therapy. Nanomedicine 12:109-22|
|Burns, Ariel; Ciborowski, Pawel (2016) Acute exposure to methamphetamine alters TLR9-mediated cytokine expression in human macrophage. Immunobiology 221:199-207|
|Yang, Lu; Yao, Honghong; Chen, Xufeng et al. (2016) Role of Sigma Receptor in Cocaine-Mediated Induction of Glial Fibrillary Acidic Protein: Implications for HAND. Mol Neurobiol 53:1329-42|
|Dong, Weiguo; Embury, Christine M; Lu, Yaman et al. (2016) The mixed-lineage kinase 3 inhibitor URMC-099 facilitates microglial amyloid-Î² degradation. J Neuroinflammation 13:184|
Showing the most recent 10 out of 337 publications