Our project will be focused on the sex-dependent differences of the way the brain the immune system communicate.
Projects for NSURE 2020 will be posted Dec. 1. Projects will continue to be added up to the program start date. All projects currently listed below are from NSURE 2019 and are subject to change.
Our research focuses on understanding the molecular mechanism by which RGS10 regulates microglial inflammatory signaling independent of its canonical role on G proteins. We explore the dynamic localization and protein-protein or protein-DNA interaction of RGS10 to determine how RGS10 regulates neuroinflammation in different cellular compartments. In addition, we investigate the potential impact of RGS10 in intracellular calcium response/mobilization to identify other Ca2+-regulated signaling pathways that control inflammatory gene expression.
PI: Shelley Hooks
Dept: Pharmaceutical and Biomedical Science
We study regeneration of the nervous system, using planarians (freshwater flatworms) as a model organism. Students in our lab investigate candidate genes using in situ hybridization, RNA interference (RNAi), and microscopy.
PI: Rachel Roberts-Galbraith
Dept: Cellular Biology
Pre-program reading assignment.
My lab is currently engaged in projects focusing on the following topics: mouse model of alcoholism/depression comorbidity and how this is mediated by neuropeptide systems; sex differences in oral oxycodone self-administration and factors that mediate relapse-like behavior; compulsive alcohol intake in a mouse model of escalated alcohol consumption; role of neuropeptide systems in stress-elicited alcohol seeking.
PI: Jesse Schank
Dept: Physiology and Pharmacology
Study of brain connectivity by fMRI and machine learning
A connectome provides a comprehensive map of structural and functional connectivity in the brain. Physiological and psychiatric diseases such as stroke, depression, and Alzheimer’s diseases or brain injuries such as traumatic brain injury (TBI) have disrupted large-scale functional and/or structural properties. Quantification of normal and disrupted connectivity may lead to a better understanding of the disorder, more targeted drug treatment, and diagnostic or prognostic indicators. In this project, we plan to study the structural and functional connectivity using functional magnetic resonance imaging (fMRI) and machine learning.
1. Willing to learn MRI and machine learning
2. Basic programming skill
3. Knowledge of programming language python is preferred
PI: Qun Zhao
Dept: Bioimaging Research Center, Physics