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School of Medicine
Discovery Fund for Synergy and Innovation Awards
The Discovery Innovation Awards are designed to provide seed funding to support bold, innovative projects to enable new scientific directions and achievements of the highest quality and impact. All school of medicine faculty members are eligible for Innovation Awards of one-year funding of up to $50,000. Synergy Awards consist of one-year funding of up to $100,000 granted to research projects led by full-time, tenure track academic faculty.
Learn more about the Discovery Innovation Awards.
Innovation Awards—up to $50K
Pilot study of a novel, low-cost, wearable sensor to measure dehydration after acute stroke
Dehydration is common after a stroke and there is increasing evidence that patients who are dehydrated have worse outcomes. Mona Bahouth is working on a wearable sensor that can monitor hydration levels and help patients actively rehydrate even after they leave the hospital.
Characterization of novel cell populations in the synovial joint
By sequencing RNAs from single cells isolated from mouse knees, Patrick Cahan has identified what looks like stem cells with different potentials for tissue regeneration and repair. Further characterization of these cells could lead to new ways to prevent, slow or reverse osteoarthritis.
Strategies to inhibit neuroma formation
Neuromas commonly develop at amputation sites or in conjunction with severe nerve injury and are the result of multiple failed nerve regeneration attempts. Ahmet Hoke is testing a number of biomaterials and small molecules that inhibit axon regeneration in hopes of preventing neuroma formation and subsequent pain or discomfort.
State biomarkers reflecting drug response in bipolar disorder: single-cell protein analysis in olfactory neurons obtained by soft nasal brush
Drug treatment of bipolar disorder can generate changes in the patient which are difficult to study as blood samples do not accurately reflect changes in brain transcription. It turns out the olfactory neural epithelium does more accurately reflect brain tissue molecular profiles and Koko Ishizuka is refining a single cell analysis of cells collected by nasal brush to identify biomarkers that indicate so-called state changes resulting from drug treatment.
Therapeutic Applications of Graphene Quantum Dots for Parkinson’s Disease
Han Seok Ko has found that graphene quantum dots can inhibit fibrilization of alpha-synuclein, disaggregate mature fibrils, and rescue neuronal death. He plans to test graphene quantum dots in preclinical mouse models of Parkinson’s disease to identify possible clinical applications.
Targeting the Activin Signaling Pathway in Combination with Immune Checkpoint Blockade as a Novel Strategy to Treat Melanoma
Downregulating regulatory T cells boosts anti-tumor immunity. Fan Pan recently showed that the activin receptor works to maintain regulatory T cell activity. He plans to develop a therapeutic antibody against the activin receptor to diminish regulatory T cell activity and enhance anti-tumor immune responses for the treatment of melanoma.
A Functional Pilot Screen for Determinants of Cell-Type-Specific Oncogenesis
CARD11 is a scaffold protein required for signaling during the adaptive immune response. Gain-of-function CARD11 mutations are found in 10 percent of non-Hodgkin lymphomas. Joel Pomerantz is conducting a genome-wide CRISPR/Cas-9 screen to identify genes that, when inactivated, will allow a gain-of-function CARD11 to increase T and NK cell proliferation. The results will uncover why some cell types are resistant to transformative effects of oncogenic CARD11.
Targeting Angiotensin Receptor Type 2 as a Treatment Strategy for Mitral Valve Prolapse
Mitral valve prolapse (MVP) results from the accumulation of glycosaminoglycans in the valve, which leads to loss of mechanical integrity. Women are far more likely to develop MVP than men, but how to slow or stop MVP from developing is not yet clear. Rosanne Rouf is using a mouse model to test whether disrupting a protective angiotensin pathway can slow MVP progression.
One by One: Decoding the Mechanism Underlying Catalysis Inside the Cell
Rhomboid-family intramembrane proteases are the fastest diffusing multi-spanning membrane proteins ever studied. Sin Urban is nano-fabricating supported lipid bilayers to study protease-substrate interactions on the single-molecule level to better understand how these proteases move so quickly and why they do so.
Molecular Pathways Mediating Protein Hunger in Drosophila and Mice
While much is known about how hunger and feeding behaviors are regulated, little is known about the hunger for specific macromolecules like protein. Mark Wu recently identified in fruit flies the first known neural circuit encoding protein hunger, which is based on two dopaminergic neurons. He is using flies and mice to study the molecular, genetic and physiologic pathways underlying protein hunger.
Synergy Awards—up to $100K
A novel strategy for treating vascular stiffness
One of the most common microRNAs in aortic smooth muscle in mice has been shown to minimize the stiffening of the aorta, which in aged people can lead to increased pressure, systolic hypertension and other problems. Jay Baraban has identified an RNAse that may be able to protect mice from developing aortic stiffness and is looking to develop drugs that may be able to prevent or reverse aortic stiffness.
Baraban will be collaborating with Samarjit (Sam) Das and Dan Berkowitz.
Imaging-Visible, Bioprinted 3D Niche for Targeted Human iPSC-Derived Beta Cell Delivery
The challenge of visualizing transplanted islet cells was overcome by encapsulating cells with alginate. However, alginate can cause an immune reaction that leads to fibrotic overgrowth and death of the encapsulated cells. Yingli Fu proposes that in situ 3D printed biocompatible alginate-fibrin capsules will lead to better cell survival.
Fu will be collaborating with Peter Searson.
Systematic characterization of transcriptional variation in retinal development at single cell resolution
Using single cell RNA sequencing to understand the regulatory networks involved in cell fate specification in the developing mammalian retina, Loyal Goff and colleagues aim to improve on and extend the CoGAPS (coordinated gene activity in pattern sets) Bayesian algorithm. Until now, CoGAPS has been used only to study cancer genomics, but they aim to apply it to large RNA-seq data sets to order developmental pathways.
Gof will be collaborating Elana Fertig.
Preventing Ventricular Catheter Obstruction in Hydrocephalus
Radioisotopes have been successfully used to prevent biofilms from forming on undersea windows. Eric Jackson and colleagues aim to show that the same approach can be taken to prevent unwanted cells from attaching to implantable medical devices. This could prevent bacteria from attaching to shunts and blocking them and causing need for replacement.
Jackson will be collaborating with Stergios Papadakis and Carolyn Harris.
Epileptic Seizure Localization via Bayesian Structure Learning
One long-standing challenge in the study of epilepsy is the inability to map seizure onset zones from scalp EEG readings. Emily Johnson is building a model of seizure propagation that takes advantage of the dynamic relationships between EEG signals and thus provides more information about seizure origin.
Johnson will be collaborating with Archana Venkataraman.
Progenitor Cell Diversity and the Evolution of the Mammalian Neocortex
Classical neurogenesis models state that the diversity of cells in the brain results from a single type of progenitor. Recently, however, many specific progenitor cells that can only give rise to cells of certain fates have been identified in the mouse neocortex. Ulrich Mueller is using ferrets to establish a new model system to study neocortex development with hopes to someday understand how microcephaly, autism and schizophrenia arise.
Mueller will be collaborating with Kristina Nielsen.
Development of New Generation Phenotyping: Transition from Classical Behavioral Testing to Big Data Science
Classic behavioral testing of animal models of neurological disease is subject to much variation due to lack of standardization of how animals are handled, for example. Alena Savonenko aims to overcome this by developing a cage system in which animals can be tested in their “home” environment without any handling and data can be collected and analyzed in a high-throughput fashion.
Savonenko will be collaborating with Ralph Etienne-Cummings.
Establishing a framework for identifying selective inhibitors for foreign dsDNA-sensing pathways
Two critical components of the innate immune system, when misregulated can lead to disease states including lupus and arthritis. Jungsan Sohn is performing a high-throughput screen to identify small molecule inhibitors of these two pathways—cyclic GMP-AMP synthase and absent in melanoma 2.
Sohn will be collaborating with Michael Chattergoon.
Single molecule dynamics of expanded RNA repeats and repeat-associated non-AUG translation in C9ORF72-related ALS/FTD
The most common cause of ALS and FTD is a hexanucleotide repeat expansion in the non-coding area of the C9orf72 gene. Shuying Sun aims to better understand the properties of repeat-containing mRNAs and how they are translated. This may reveal a better understanding of how neuronal degeneration arises.
Sun will be collaborating with Bin Wu.
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