This Project Grant award of $520,720 from the National Science Foundation's (NSF) Biological Sciences program (CFDA 47.074) will support research to develop new tools for incorporating emerging models of genetics into genetic mapping, prediction, and simulation. The research, conducted by Colorado State University, aims to better integrate molecular and cellular biology knowledge into statistical models used to map genes, predict traits, and simulate changes in the genotype-to-phenotype...
This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award of $275,000 to Brainstorm Therapeutics, Inc. aims to develop and validate a novel Parkinson's disease drug discovery platform using patient-derived midbrain organoids. The platform will guide therapeutic candidate identification, patient selection, and trial endpoint refinement to accelerate the development of effective disease-modifying Parkinson's treatments. Key innovations...
This $173,140 Project Grant award from the National Institute of Neurological Disorders and Stroke (NINDS), under the Extramural Research Programs in the Neurosciences and Neurological Disorders (CFDA 93.853) program, will support research at the University of California, San Francisco (UCSF) to elucidate the role of neural activity in the degeneration of midbrain dopamine neurons associated with Parkinson's disease. The project aims to utilize novel mouse models to chronically manipulate the...
This National Science Foundation (NSF) Division of Chemical, Bioengineering, Environmental, and Transport Systems grant awarded to Purdue University, under CFDA 47.041 Engineering, provides $248,827 to develop a fluorescent imaging method to study protein-membrane interactions in brain cells. This research aims to further the understanding of Parkinson's disease, which may be caused by the clumping and spread of the alpha-synuclein protein in the brain. The project involves two graduate students...
This $138,428 project grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) will support the development of computationally tractable structured hierarchical models to identify complex genetic associations hidden from current methods. The grantee, J. David Gladstone Institutes, will analyze genomic and clinical trait data using machine learning to build predictive models for individualized disease risk assessment and personalized...
This $150,620 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports research to improve the delivery of genome-editing proteins using polymer-based methods. The principal investigator at the Colorado School of Mines will develop novel polymer designs and use statistical learning to optimize the delivery of ribonucleoprotein genome-editing complexes to diverse cell types. The goal is to overcome intracellular delivery...
This federal Project Grant award, funded by the National Science Foundation (NSF) Engineering program (CFDA 47.041), will support research to investigate how changes in brain function due to Parkinson's disease (PD) impact movement dysfunction. The $199,401 award to Florida Polytechnic University, a state-controlled institution of higher learning, will employ modeling, simulation, and robotic-based movement studies to gain insights into the neural mechanisms underlying both inhibitory and...
This Project Grant award, funded by the National Institute of Neurological Disorders and Stroke (NINDS) under the Extramural Research Programs in the Neurosciences and Neurological Disorders (CFDA 93.853) program, will support a multi-year investigation into the mechanisms by which regulatory genetic variation influences the risk and progression of Parkinson's disease (PD). The $635,430 award to The Johns Hopkins University will enable researchers to define the chromatin and transcriptional...
This National Science Foundation (NSF) Project Grant award under the Mathematical and Physical Sciences program (CFDA 47.049) provides $250,000 to The Trustees of the University of Pennsylvania to develop advanced statistical methods for integrating and analyzing large-scale data from multiple sources, such as electronic health records and genomics data. The project aims to devise new data-driven algorithms with theoretical optimality guarantees for transfer learning, as well as adversarially...
This federal Project Grant award from the National Institute of Environmental Health Sciences (NIEHS) under the Environmental Health (CFDA 93.113) program is for $728,408 and aims to biologically validate novel genetic variants that may confer susceptibility to pesticide-induced Parkinson's disease. The award supports two key efforts: Evaluating the effects of upregulating and downregulating candidate genes on oxidative stress markers in human dopaminergic neurons derived from induced...