Advances in the field of mouse genetics, including truly remarkable new strategies for controlled gene expression and engineering of mutant lines, have significantly enhanced the use of murine models in the study of intellectual and developmental disabilities (IDD). The Preclinical Core (PC) offers innovative, multidisciplinary approaches for measurement at the level of behavior, brain, and cell. These services are essential for IDDRC projects utilizing mouse models in genetic, molecular, neurobiologlcal, and preclinical intervention research. The Core has three components: the Mouse Behavioral Phenotyping Laboratory, the Confocal and Multiphoton Imaging Facility, and the Brain Imaging Analysis Service (for processing data from magnetic resonance (MRI) and diffusion tensor (DTI) imaging). By spanning multiple aspects of mouse model evaluation and use, these components provide a basis for integrative, translational neuroscience within the UNC IDDRC. The Core proposes four objectives to support high-caliber mouse model research: A.I. Provide innovative and translational behavioral phenotyping for genetic and environmental mouse models of neurodevelopmental disorders. The Mouse Behavioral Phenotyping Laboratory offers researchers a multifaceted test regimen, including assays for sensory, motor, social, emotional, and cognitive function, and approaches for neonatal behavior and preclinical drug screens. The PC also provides expertise, training, and access to a range of automated measurement systems for state-of-the-art phenotyping. A.2. Provide consultation, hands-on training, and cutting-edge resources for confocal, multiphoton, and widefield imaging. The Confocal and Multiphoton Imaging Facility offers a state-of-the-art microscopy laboratory, with multiple systems for evaluation of neural tissue in vitro and in living mice. Facility staff provide consultation and hands-on training in molecular and cellular microscopy techniques, including utilization of optogenetic and photosensitive probes, automated time-lapse imaging of neurons and glia, and multiphoton imaging of spatiotemporal dynamics in neuronal migration and connectivity in intact, living embryonic brains. A.3. Develop, utilize, and disseminate advanced methods for analysis of MRI and DTI scans from animal IDD models. The Brain Imaging Analysis Service devises innovative strategies for the processing and interpretation of brain imaging data, and methods to track abnormalities in neural development and function. The Service works to validate and optimize new methods to allow automated volumetric and connectivity analysis in MRIs of the developing rodent brain, and to validate measures applicable to both human and animal scans. Novel processing pipelines for segmentation and atlas-building, developmental brain atlases, and other critical tools for morphometric and functional analyses, are made publicly available. A.4. Facilitate integrative and multidisciplinary IDDRC research. The correlation of complementary mouse phenotypes, such as behavioral responses, dendritic morphology, cortical architecture, and regional brain volume and connectivity, provides a powerful approach to identify the mechanistic basis of abnormalities relevant to neurodevelopmental disorders. By combining behavior, microscopy, and neuroimaging, the PC offers IDDRC investigators the expertise, infrastructure, and collaborative opportunities for multidisciplinary research using mouse models. The PC is also a source of information on services provided by other UNC core facilities, and works to maintain strong connections with the Clinical Translational Core to enhance the relevance of mouse model work to studies in humans.

National Institute of Health (NIH)
Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD)
Specialized Center--Cooperative Agreements (U54)
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Special Emphasis Panel (ZHD1-DSR-H)
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University of North Carolina Chapel Hill
Chapel Hill
United States
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Lyu, Ilwoo; Perdomo, Jonathan; Yapuncich, Gabriel S et al. (2018) Group-wise Shape Correspondence of Variable and Complex Objects. Proc SPIE Int Soc Opt Eng 10574:
Marrus, N; Hall, L P; Paterson, S J et al. (2018) Language delay aggregates in toddler siblings of children with autism spectrum disorder. J Neurodev Disord 10:29
Allard, Denise E; Wang, Yan; Li, Jian Joel et al. (2018) Schwann cell-derived periostin promotes autoimmune peripheral polyneuropathy via macrophage recruitment. J Clin Invest 128:4727-4741
Jha, Shaili C; Xia, Kai; Schmitt, James Eric et al. (2018) Genetic influences on neonatal cortical thickness and surface area. Hum Brain Mapp 39:4998-5013
Greene, R K; Spanos, M; Alderman, C et al. (2018) The effects of intranasal oxytocin on reward circuitry responses in children with autism spectrum disorder. J Neurodev Disord 10:12
Thaxton, Courtney; Kloth, Alexander D; Clark, Ellen P et al. (2018) Common Pathophysiology in Multiple Mouse Models of Pitt-Hopkins Syndrome. J Neurosci 38:918-936
Tuttle, Alexander H; Molinaro, Mark J; Jethwa, Jasmine F et al. (2018) A deep neural network to assess spontaneous pain from mouse facial expressions. Mol Pain 14:1744806918763658
Mostapha, Mahmoud; Shen, Mark D; Kim, SunHyung et al. (2018) A Novel Framework for the Local Extraction of Extra-Axial Cerebrospinal Fluid from MR Brain Images. Proc SPIE Int Soc Opt Eng 10574:
Ngattai Lam, Prince D; Belhomme, Gaetan; Ferrall, Jessica et al. (2018) TRAFIC: Fiber Tract Classification Using Deep Learning. Proc SPIE Int Soc Opt Eng 10574:
Qiao, Chunping; Dai, Yi; Nikolova, Viktoriya D et al. (2018) Amelioration of Muscle and Nerve Pathology in LAMA2 Muscular Dystrophy by AAV9-Mini-Agrin. Mol Ther Methods Clin Dev 9:47-56

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