Vanderbilt Chemical Biology Interface

This NIH-sponsored program provides significant, in-depth training to graduate students studying at the interface of synthetic and mechanistic chemistry, and the biological sciences.

Clown fish swimming in a tank.
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The V-CBI program aims to maintain a 50/50 ratio of trainees between chemistry and biological departments. In general, we receive between 15-20 nominations per year, and select four or five students to participate in the training grant. 

2024 Trainees

  • Maxwell Hughes

    PI: Alex Schuppe, Chemistry

    The VICB mission to “harness the power of chemistry to improve human health” is best exemplified through the discovery of novel chemical methods that accelerate the synthesis of biologically active molecules and probe compounds. This can facilitate mass production of these molecules, a requirement for biological evaluation, as well as offer a way to execute structural modifications and functional optimization. I plan to uphold this mission by developing innovative “stitch-and-tailor” protocols for accessing rearranged terpenes and isotopically labeled probe compounds. A multitude of rearranged terpenes have been identified in nature, but their biological study is limited by their low natural abundance and poor synthetic accessibility. The primary challenge is posed by the highly strained, complex ring system characteristic of these terpenes. Although synthetically cumbersome, ring strain is a feature that rigidifies these molecules, suggesting that they may exhibit strong target binding and minimal off-target effects. The proposed research project overcomes this obstacle by “stitching” polyolefin precursors into a rearranged terpene scaffold through a hydroboration–carbonylation reaction (Scheme 1A). The resulting scaffolds can then be functionalized or “tailored” using late-stage diversification tactics to obtain a collection of these rearranged terpenes. Furthermore, I plan to work with the Vanderbilt High Throughput Screening facility to elucidate biological activity and explore their therapeutic potential. Incorporation of carbon isotopes into biologically active molecules has various applications in chemical biology and medicinal chemistry. This includes mechanistic probing experiments, radiopharmaceutical imaging, and metabolic profiling. Existing methods for isotopic incorporation rely on peripheral modifications, which can alter the structure and disrupt activity; or metal-catalyzed reactions, which can be costly and complicate in vivo studies. I envision leveraging hydroboration–carbonylation methodology to internally “fashion” biologically active molecules with isotopic carbons using labeled carbon monoxide (CO) (Scheme 1B). To demonstrate the utility of this application, I look forward to collaborating with the VUIIS Research Radiochemistry Core Laboratory to obtain 11CO and identify potential radiopharmaceutical targets for positron emission topography (PET).

  • John “Jack” Olson

    PI: Lars Plate, CPB

    Cystic fibrosis (CF) is a lethal genetic disorder affecting approximately 85,000 individuals globally [McDonald et al., 2023]. It is caused by a variety of loss-of-function mutations in the cystic fibrosis transmembrane conductance regulator (CFTR) gene. Mutations lead predominantly to protein misfolding and degradation of the CFTR protein, an epithelial anion channel. Recent advancements have led to the development of small molecule correctors and potentiators that enhance CFTR expression and function, significantly improving treatment outcomes for about 90% of patients, particularly those carrying the ΔF508 CFTR mutation common among Caucasians. However, these therapies are less effective for approximately 10% of patients with rare and diverse CFTR mutations, creating a therapeutic gap for these individuals, particularly in non-white populations. The challenge lies in the limited throughput of existing methods to identify and characterize novel drug compounds to treat these rare mutations.

    This proposal outlines a novel approach integrating computational and biochemical techniques to enhance drug discovery efforts for CF. N1303K, the third most common mutation in CF, is prone to both endoplasmic reticulum-associated autophagy and proteasomal degradation, which current correctors fail to adequately address [DeStefano et al., 2018]. Previous work from the Plate Lab identified a critical binding pocket in proximity to N1303K within the NBD2, influencing the TMD1 intercellular loop 2 (ICL2) and closely interacting with the N-terminus of the Q-loop (residues 1284-1291). This pocket is shaped by nearby residues, including R1358, a key contributor to a hydrogen bond network essential for stabilizing the interaction between N1303K and Q1291 in the NBD2 crystal structure [Vernon et al., 2017]. We first aim to conduct virtual high-throughput drug screening using Rosetta’s REvolveD (Rosetta Evolutionary Docking) program, specifically targeting the N1303K CFTR variant at this pocket. Given that the N1303K variant remains unresponsive to conventional therapeutic strategies, including temperature correction, the lysosomal cysteine protease inhibitor E-64, and the autophagy inhibitor tubacin, yet shows positive reactions to a combination of Type-I and Type-II correctors (C18 and C4 respectively), we believe it is reasonable to explore this binding pocket for potential new corrector compounds [Rapino et al., 2015].

    Following a comprehensive drug screen, we will employ time-resolved proteomics in CF human bronchial epithelial (CFBE) cells treated with novel correctors to assess if these compounds can effectively rescue the N1303K variant from degradation pathways. Several time-resolved proteomic methods are under pursuit in the Plate Lab, such as an mRNA-based flash cap system, halo-tag labeling, and whole-cell unnatural amino acid labeling with a click reaction. This integrated approach will accelerate the discovery and development of effective therapies for CFTR variants currently lacking effective treatment options, thereby expanding the therapeutic landscape, and improving outcomes for a wider array of CF patients. Successful outcomes from these experiments will potentially lead to groundbreaking treatments for over 1,500 patients homozygous for this mutation worldwide.

  • Kelly O’Rourke

    PI: Doug Kojetin, Biochemistry

    Kelly’s research project will focus on the activation mechanism of an orphan nuclear receptor (NR) called Nurr1, which regulates a gene program influences dopamine production in the brain. Activation of Nurr1 transcription by drug-like small molecules is thought to be a potential therapeutic treatment for patients with neurodegenerative disorders, including Parkinson’s and Alzheimer’s diseases.

    The draggability of Nurr1 remains unclear in the field. However, an alternative way to modulate Nurr1 transcription is through ligands that target retinoid X receptor alpha (RXRα), a NR that heterodimerizes with Nurr1, which regulate Nurr1 gene programs. One aspect of Kelly’s project will build on a recent advance my lab made using molecular biophysics, structural biology, and cellular pharmacology studies, which defined a new NR drug targeting paradigm. Instead of functioning through a classical mechanism of pharmacological activation, where ligand binding increases the recruitment of coactivator complexes to target genes, we found that Nurr1-RXRα activating ligands induce heterodimer dissociation (Yu et al. eLife 2023; doi: 10.7554/eLife.85039). Kelly will develop and optimize validate a Nurr1-RXRα protein-protein interaction high-throughput screening (HTS) assay and screen up to 100K compounds with the goal of discovering new compounds that dissociate the heterodimer. She will perform downstream assays to triage compounds and the profile activity of prioritized compounds using molecular biophysics, structural biology, and cellular methods.

    A second aspect of Kelly’s project will involve proteomics methods to identify cellular coregulator proteins of Nurr1, as our studies and others indicate that Nurr1-mediated transcription may not occur via recruitment of classical NR coregulator proteins. Kelly will utilize mass spectrometry proteomic methods to capture and assess the Nurr1 protein interactome in neuronal cellular models used in the field to study Nurr1-regulated gene expression and dopaminergic cellular phenotypes. Interactome targets will be validated via overexpression and knockdown coupled to transcriptional reporter assays and gene expression analysis, and a cellular NanoBiT protein-protein interaction assay.

    Kelly’s project is relevant to the mission of the CBI training grant as this work lies at the interface of chemistry and biology. The screening studies will involve collaboration with the VICB HTS core and medicinal chemists to design and test new compounds. The proteomics studies will involve collaboration with the VU mass spectrometry core.

  • Megan Ward

    PI: Jeff Spraggins, CPB

    Most of our understanding of the molecular basis of human kidney disease comes from analyzing global mRNA expression or from proteomic and metabolomic interrogation of kidney lysates. Individual cellular and molecular changes are diluted in bulk tissue analyses such that inter-individual and disease associated variation can become undetectable, and rare cell populations that may be important in disease may not be identified. Single-cell transcriptional profiling is being used to uncover cellular heterogeneity associated with disease. However, the dissociation of tissues may affect the functional properties of cells, and these approaches forgo critical spatial relationships between cellular organization and molecular distributions. The Spraggins research group has been developing integrated multimodal molecular imaging technologies, bringing together imaging mass spectrometry with various forms of microscopy and spatial transcriptomics to address these important challenges and understand the molecular drivers of important diseases such as acute kidney injury and chronic kidney disease. My research project will expand on these development efforts by enabling, for the first time, functional information to be layered onto untargeted lipid imaging data. I will develop methods for mapping membrane fluidity in tissues using specialized lipid dyes that will be integrated with highly specific imaging mass spectrometry. This will enable altered lipid species and profiles to be correlated with membrane fluidity and associated with specific membrane microdomains (e.g., lipid rafts). I am particularly excited about this project as it requires me to develop skills and establish collaborations in the areas of analytical chemistry, cell biology, bioinformatics, and renal pathology. The opportunity to develop novel technologies and apply them to problems like diabetic nephropathy offers the potential to directly impact human health and provide me with training in cutting-edge bioanalytical techniques.

     

2023 Trainees

  • Paul Kastner

    Bachmann, PMI

    This research project seeks to investigate the potential of caves as sources of novel secondary metabolites from microorganisms associated with karst features and cave crickets. Secondary metabolites are organic compounds that have diverse biological activities and applications in medicine and biotechnology. Caves are geographically isolated and oligotrophic environments, factors that historically have proven conducive to the evolution of unique adaptations. Insect-associated microbes, a relatively unexplored group of organisms, represent a promising source of secondary metabolites with diverse functions in microbe-host and microbe-microbe interactions. We hypothesize that cave microorganisms, particularly those found on cave crickets and active speleothems, exhibit distinct secondary metabolic profiles and capabilities compared to their epigean counterparts. To test this hypothesis, we will characterize the microbial diversity and composition of karst features and/or cave crickets using metagenomic analysis, isolate and identify cultivable microorganisms from these hypogean samples and screen them for their ability to produce secondary metabolites, and purify and elucidate the structure and bioactivity of new secondary metabolites from selected cave isolates. This project will contribute to the understanding of cave microbiology and ecology, as well as the discovery of new natural products with potential therapeutic value.

  • Valentina Guidi

    Kim, Chemistry

    The purpose of my research is to develop a proximity labeling approach to glycan bioconjugation by exploiting biological molecular recognition relationships between carbohydrates and small molecules. While protein-ligand and DNA-ligand relationships have been thoroughly studied and understood, carbohydrate-ligand interactions have often been overlooked. Nevertheless, like proteins or nucleic acids, carbohydrates consist of higher order structures which are dynamic in nature, even though these dynamic conformations are still being actively studied. Analogously to protein or DNA ligands, the small molecule pradimicin A has the lectin-like property of recognizing and binding to D-mannopyranosides in the presence of a Ca2+ ion. Traditionally, site-selective transformations on carbohydrates have been difficult to achieve. Regioselectivity is a primary concern because monosaccharides are composed of several chemically similar hydroxyl groups and nearly identical C-H bonds. Nevertheless, regioselectivity on sugar scaffolds may be modulated via noncovalent interactions and remote functionalization. Pradimicin A takes advantage of these phenomena by instigating a Ca2+-mediated hydrogen bond network with a D-mannopyranoside. We are synthesizing a catalyst based on pradimicin A and, via photoredox catalysis, using it as a driving force for regioselective carbohydrate modifications.

  • Raleigh Jonscher

    Jones, Neuroscience

    Over the last two decades, small molecule ligands that directly or indirectly enhance acetylcholine neurotransmission have been developed to ameliorate or normalize the deficits associated with cognitive decline observed in aging and dementia patients. Preclinical and early proof-of-concept clinical studies have provided strong evidence that activators of specific muscarinic acetylcholine receptors (mAChRs) (M1 and M4) subtypes are effective in animal models for cognitive enhancement and in the treatment of behavioral disturbances and some cognitive symptoms in patients with Alzheimer’s disease. While early attempts to develop selective mAChR agonists provided important preliminary findings, these compounds have ultimately failed in clinical development due to a lack of true subtype selectivity and subsequent dose-limiting adverse effects. In recent years, we have made major advances in the discovery of highly selective activators for the different mAChR subtypes with suitable properties for optimization as potential candidates for clinical trials. One novel strategy has been to identify ligands that activate a specific receptor subtype through actions at sites that are distinct from the highly conserved ACh-binding site, termed allosteric sites. These allosteric activators, both allosteric agonists (ago) and positive allosteric modulators (PAM), of mAChR subtypes demonstrate unique mechanisms of action, high selectivity in vivo, and may provide innovative treatment strategies for AD. We have now identified several selective allosteric M1 and M4 ago/PAM and pure PAMs, represented by early-stage tool compounds VU0453595 and VU0467154, respectively. These ligands exhibit low nanomolar potency, greater than 100-fold selectively relative to the other mAChR subtypes, and suitable DMPK properties for in vivo testing. My graduate research project is focused on the chemical optimization of selective allosteric modulators of the M1 and M4 mAChRs as mediators of cholinergic regulation of cognition, with the aim of elucidating novel therapeutic strategies for the treatment of cognitive deficits in aging and dementia populations. Until recently, the technologies for exploring how our novel allosteric modulators facilitate chemical signaling in the brain have been limited. However, with the application of innovative fiber photometry techniques, I can assess real-time changes in acetylcholine signaling across different brain regions in awake free-moving young and aging rodents, while these animals are performing different cognitive tasks. However, because acetylcholine signaling decreases with aging and dementia, it remains unclear what will be the desirable chemical properties for effective M1 and/or M4 mAChR allosteric modulators to boost this declining acetylcholine tone, specifically whether an ago/PAM or pure PAM will provide more efficacy. Thus, working in collaboration with the medicinal chemistry and DMPK teams within the WCNDD, my ongoing work is to understand how fundamental changes in the SAR of different chemical series of M1 and/or M4 mAChR allosteric modulators can alter not only the potency, selectivity, and DMPK properties of different molecules but also their in vivo acetylcholine signaling in preclinical models of aging and dementia.

  • Molly Sullivan

    Plate, CPB

    RNA virus transmission frequently occurs between animal and human hosts raising the risk for spread of existing viral pathogens and emergence of new infectious diseases. The zoonosis is driven in part by rapid evolution of the viral genome, allowing for adaptation to the changing cellular environment in different host species. Synonymous mutations are mutations that do not affect the amino acid sequence and are commonly used for live-virus attenuations in vaccine development, suggesting that these mutations may not be neutral despite the belief that they do not influence viral fitness. However, several recent studies have indicated that synonymous mutations may affect translational speed, ribosomal quality control, and co-translational folding. To identify how protein quality control affects viral fitness, my research aims to use quantitative mass spectrometry to determine how the recoded foot-and mouth disease virus (FMDV) affects the co-translational proteostasis interaction network in a host-dependent manner. FMDV is a severe and highly contagious pathogen in hoofed animals posing a threat to agriculture. Porcine and kidney cells will be transfected with FLAG-tagged WT P1 and recoded variants, which contain codon-deoptimized sequences, and interactors will be captured using in situ cross linking. P1 cross-linked complexes will be purified using FLAG affinity purification. Proteostasis interaction partners will be identified for each P1 variant using mass spectrometry-based proteomics. Translation speeds will be measured by our collaborator and correlated to protein interactions. We hypothesize that increased interactions with translation machinery and co-translational chaperone components will occur because of ineffective codon usage and slowed translation speed. However, excessive chaperoning resulting from increased interactions could possibly engage degradation pathways prematurely, leading to negligible stoichiometries of FMDV structural proteins that could be the cause of virus attenuation. Results of this study have the potential uncover how viruses are able to evolve in a species-specific manner based on dependencies on the proteostasis machinery.

  • Sydney Thompson

    Niswender, IGP

    The focus of the current project is to profile and analyze the newly designed novel compound, VU0634703 (VU703). Compound VU703 is a negative allosteric modulator (NAM) that functions as a group III metabotropic glutamate (mGlu) receptor-specific compound. This project involves a combination of in vitropharmacological studies such as an assessment of signal bias and identification of the compound’s binding site on the receptor. The overarching goal is to analyze the activity of this compound for various metabotropic glutamate receptors via conducting in vitro assays such as calcium mobilization assays and thallium flux through GIRK channels. Concentration-response curves are created for analysis to measure the efficacy of NAM VU703 on various group III metabotropic glutamate receptors, and future studies will involve site-directed mutagenesis and potential radioligand binding experiments. The study of this compound is intriguing and important because group III mGlu receptors have previously been considered good therapeutic targets for various diseases such as Rett syndrome, Parkinson’s disease, and anxiety; therefore, increasing our knowledge of how this group III mGlu receptor specific NAM, VU703, functions is anticipated to open potential new therapeutic avenues for drug development.

2022 Trainees

  • Xavier Streety

    Chemistry, PI Steve Townsend
    "Synthesis and Biological Evaluation of Tranvalencin A and Truncated Fragments"

    Initially isolated from a clinical strain of Nocardia transvalensis, transvalencin A is a non-ribosomally encoded peptide and zinc chelator with antifungal and antibacterial activity. Despite its initial promise, no work has been published on the molecule since the elucidation of its structure in 2004. Transvalencin A features unique oxazoline, thiazoline, and thiazolidine moieties with challenging stereochemistry as well as two stereospecific oxidations. In the process of total synthesis, establishing conditions for the stereospecific modification of the constituent peptides composing tranvalencin A addresses a clear gap in knowledge. We have planned a modular approach in the construction of the molecule as we hypothesize that there is some minimal structure needed to achieve bioactivity and that variation in the number of Lewis basic sites will result in different metal cation affinity. The desired result would be the first reported total synthesis of transvalencin A along with tests for antibiotic activity against Gram-positive bacteria, Gram-negative bacteria, the ESKAPE pathogens, and pathogenic fungi. In addition, the same bioactivity experiments are to be performed on fragments of tranvalencin A. The ultimate positive result would be that tranvalencin A and its fragments all have antibiotic activity but act by disrupting the homeostasis of different metal cations in vivo thus yielding several compounds that can be further developed and optimized as antibiotics as well as probe the role of metals in various cellular processes.

     

  • Hanna Thurman

    Cell and Developmental Biology, PI Jonathan Irish
    "Tools in Single Cell Chemical Biology"

    Hannah’s research at Vanderbilt started with her identifying candidate ‘hits’ from a screen and using quantitative analysis to choose which would move forward into secondary assays for validation and deeper characterization. Hannah analyzed the results of a pilot screen of >600 small molecules screened in millions of human cells and identified a subset of compounds for follow-up based on cell biological activity of interest (selective inhibition of one mTOR pathway target, 4EBP, and not another, S6). She went on to show that one of the molecules selected was not only active and potent in follow-up experiments, but also that the molecule had vastly different impacts depending on cell type. In cancer cells, it quickly led to death through intrinsic apoptosis, but in all non-malignant cells, it had no cell killing activity over a long time course and across a range of doses. The molecule Hannah studied is a rocaglate, and working with a collaborator’s group, we have now obtained a library of rocaglate structural variants suitable for studies comparing structure and biological activity. In an initial test, several rocaglates repeated the initial finding (specific killing of cancer cells). In contrast, a different subset of rocaglates triggered activation signaling and proliferation of a specific subset of blood leukocytes. These observations form the basis of Hannah’s chemical biology project focused on structure activity relationships in this rocaglate family and the development of machine learning tools to characterize screening results based on differential cell type activity. Hannah aims to develop a machine learning approach for identifying cell type specific activity of molecules grouped based on structure. She also aims to dissect the relationship between molecular structure and cellular bioactivity for the rocaglate chemotype and identify mechanisms of differential activity in cancer vs. healthy cells.

  • Chris Juric

    Chemistry, PI John Yang
    "Developing RosettaQM-based Kinetic Scoring to Evaluate the Impact of Mutation on Halide Methyltransferase Substrate Specificity"

    Chris’ thesis emphasizes advancing computational tools for automatic enzyme design and discovery. His short-term research goal is the development of a novel kinetic scoring function to aid in designing co-factor dependent enzyme mutants for transforming non-native substrates. The scoring function will utilize calculations from the RosettaQM framework to characterize the mutation effects on kinetic parameters (i.e., kcat and KM) via explicitly considering quantum mechanical effects, including charge transfer and non-native substrate–co-factor interactions. As a proof of concept, he will endeavor to demonstrate the utility of kinetic scoring function through application to a halide methyltransferases (HMT) enzyme. HMT allows one-step recycling of S-adenosyl methionine (SAM) from S-adenosyl-L-homocysteine (SAH). Although HMT mutants have been engineered to synthesize alkyl-SAM analogues using site-saturated mutagenesis, the specificity towards bulkier substrates (e.g., phenyl, propargyl, etc.) remains low. This presents a big roadblock to leverage HMT platform for broader chemical biology applications. To address this challenge, he proposes to test kinetic scoring functions in the task of predicting beneficial mutations for generating ethyl-SAM analogues based on reported experimental data. He will then apply the kinetic scoring function to identify beneficial HMT mutations to generate propargyl-SAM analogues. Through a collaborator, we will then synthesize these mutant HMTs and measure their ability to generate non-native SAM analogues for late-stage functionalization of drug molecules. The kinetic score function will establish a quantum mechanics (QM)-based in silico tool in the chemical biology community to predict mutations effects for enhanced enzyme specificity towards non-native substrates. This work will serve as a proof of concept and inspire the development of new QM-augmented approaches for biocatalytic applications. This effort will be aided by the co-mentorship of Prof. Jens Meiler, a major contributor to the Rosetta Community, and Prof. John Yang, an expert in the high-throughput and multiscale modelling of organic and enzymatic systems.

  • Adam Ebert

    Cell and Developmental Biology, PI Jason A. MacGurn
    "Mechanism by which myriocin extends cellular longevity using yeast as a model system"

    The MacGurn group’s current hypothesis is that sphingolipid accumulation in mitochondrial membranes contributes to chronological aging in eukaryotic cells. This hypothesis is based on the following preliminary data: (i) during chronological aging, mitochondria undergo a dramatic change in morphology that involves “swelling” of the inner member and/or intermembrane space, an effect which is prevented by treating cells with myriocin, (ii) chronological aging is associated with loss of mitochondrial inner membrane potential, which is also prevented by treatment with myriocin, and (iii) levels of mitophagy decline during chronological aging, but are actually increased during aging of myriocin-treated cells. Adam’s thesis project will build on these preliminary findings and systematically test the hypothesis that mitochondria accumulate sphingolipids during aging. Specifically, Adam will use quantitative mass spectrometry approaches to define how both protein and lipid composition of mitochondria change during aging and with myriocin treatment. Adam will also perform imaging experiments to localize sphingolipids in aging yeast cells and genetic experiments to define pathways involved in remodeling mitochondria during aging.

2021 Trainees

  • Crissey Cameron

    Chemistry, PI Lars Plate

    Understanding protein interaction networks can give insight into the inner workings of systems biology, linking seemingly unrelated pathways to one another and deepening our understanding of the cellular processes controlled by protein interactions. Many approaches have been used in the literature to tease out static interactions of important proteins, but most fail to account for the dynamics and transient nature of many protein complexes and fail to map interactions with time resolution. Because of this, only a snapshot of the protein interactions at one point in time are accessible, painting an incomplete picture of the interactome. Chemical genetic probe molecules designed specifically to rescue a protein of interest from degradation by the proteosome allow for controlled accumulation of proteins in the cell, therefore allowing time-resolved study of a protein of interest. My research has designed a system in which a protein of interest is linked to a mutant dihydrofolate reductase (dDHFR) domain that is marked for degradation by the proteosome. This dDHFR can be rescued from degradation and allowed to accumulate in the cell using the small molecule trimethoprim. A cysteine mutation has been made near the active site in position L28, which allows for nucleophilic attack and covalent linking to nearby electrophiles. A probe molecule made up of a trimethoprim moiety, a terminal alkyne Click-chemistry handle, and an electrophile allows for rescue of the protein of interest, bioorthogonal derivatization of the probe using a fluorophore or biotin for visualization or isolation, and covalent linking of the protein of interest and the probe. This system has been validated using yellow fluorescent protein (YFP) as a model, showing time-dependent accumulation of YFP and the ability to isolate YFP from cell lysates. Further validation of this system is currently being conducted to study the time-resolved interactome of the proteins KRas and coronavirus nonstructural proteins. Mutations in KRas are associated with colorectal cancer and nonstructural proteins of coronaviruses SARS1, SARS2, and MHV are involved in organelle remodeling or immune suppression, making their interactomes relevant for investigation. By combining quantitative proteomics using TMT-tags with this time-resolved system, the sequential protein interactions can be studied.

  • Payton Stone

    Chemical and Biomolecular Engineering, PI John Wilson

    Cancer immunotherapy has displayed the potential to overcome the limited therapeutic efficacy of traditional cancer treatments such as surgery, radiation, and chemotherapy. Specifically, delivery of a retinoic acid-inducible gene I (RIG-I) agonist such as 5’ triphosphate double-stranded RNA (5’ppp-dsRNA) to the tumor site can elicit a downstream signaling cascade resulting in the enhanced production of pro-inflammatory cytokines and anti-viral interferons. This in turn allows for the reprogramming of the tumor microenvironment (TME) to a more tumoricidal phenotype capable of more effectively eradicating tumor cells. However, 5’ppp-dsRNA displays poor tumoral delivery in vivo due to nuclease degradation, rapid clearance from the body, and limited access to the cell cytosol. Therefore, our lab has designed pH-responsive polymeric nanoparticles capable of encapsulating 5’ppp-dsRNA for improved delivery to the tumor site. Our lab has previously reported the ability of polymer vesicles (polymersomes) fabricated from poly(ethylene glycol)-block-[2-diethylamino)ethyl methacrylate-co-butyl methacrylate] (PEG-bl-[DEAEMA-co-BMA]) copolymers to effectively improve cytosolic delivery of drug cargo. However, this strategy has not yet been explored for delivery of 5’ppp-dsRNA. The goal of this work is to optimize a facile and highly scalable flash nanoprecipitation (FNP) method for loading of RNA into endosomolytic polymersomes. To accomplish this, we will evaluate the effect of polymer block ratio and composition on polymer self-assembly and the loading of diverse hydrophilic drug cargo, including RNA.

  • Jenny Tran

    Biochemistry, PI Breann Brown

    Hemoglobin is a tetrameric protein essential to the oxygenation of the body by transporting oxygen from the lungs to other tissues. To perform its functions, it relies on heme, an iron-containing porphyrin that is a cofactor for each hemoglobin subunit, allowing for oxygen binding. The enzymatic pathway starts in mitochondria with the condensation of succinyl coenzyme A (sCoA) and glycine to produce 5’-aminolevulinic acid (ALA), an important heme intermediate. This reaction is catalyzed by 5’-aminolevulinic acid synthase (ALAS) and is the rate-limiting step in heme biosynthesis. Vertebrates have two isoforms of ALAS, the erythroid-specific ALAS2 and the ubiquitous ALAS1. Heme biosynthesis is strictly regulated, and under- or over-production can cause human disease. Upregulation of human ALAS1 is seen in acute hepatic porphyrias (AHPs), which encompasses four inherited diseases relating to heme biosynthesis. Since ALAS1 is a housekeeping enzyme, its function is important for basic cellular tasks, therefore mutations in ALAS1 may affect other heme-mediated processes, such as cytochrome P450 or myoglobin production. The ubiquitous quality of ALAS1 makes it a prime therapeutic target, particularly for AHPs since treatment for acute attacks is centered around reducing hepatic ALAS1 activity. Under the direction of Dr. Breann Brown, my thesis research is focused on determining a structure for ALAS1, identifying potential protein-protein interactions, and studying the biomedical implications. Furthering research on the ALAS1 structure will provide the necessary insight on its function and may introduce new opportunities for drug design.

  • Boden Vanderloop

    Interdisciplinary Graduate Program, PI Borden Lacy

    TBD

  • Sarah Zelle

    Chemical and Physical Biology, PIs Hassane Mchaourab and Kevin Schey

    Organelles in ocular lens fiber cells are degraded after differentiation to maintain transparency and focus light onto the retina without scattering. Therefore, it is important to preserve the clarity and correct refractive index of the lens for the entire lifetime of individuals so that vision is not affected. However, as a result of the aging process, proteins accumulate post-translational modifications and shift towards nonnative states and form hydrophobic aggregates, potentially forming cataracts. Previous work in the Mchaourab lab has studied the effect of oxidative stress on cataract formation using zebrafish lens models. Nrf2, a transcription factor that is important in the oxidative stress response, was mutated in the lens so that the fish could not respond to stress properly. These fish were crossed with knock-out crystallin fish and phenotyped. In the lens, crystallin is a highly soluble and stable protein that acts as a molecular chaperone and binds destabilized protein. My research will focus on quantifying the protein in these mutant zebrafish lenses and I will be involved in the development and optimization of the targeted mass spectrometry assay. Ultimately, the goal of this proteomics project is to investigate how the lens maintains proteostasis and reveal mechanistic clues as to how cataracts can form. A separate goal of my thesis project is to optimize an assay to measure heat shock protein activity in zebrafish lens lysate using a client protein. Once optimized, this assay can be used to quantify the binding activity of mutant zebrafish lens lines and study cataract formation.

2020 Trainees

  • Katherine Clowes

    Biochemistry, PI Charles Sanders

    Long QT syndrome (LQTS) is a disorder characterized by the prolongation of the latter portion of the electrocardiogram signal (the QT interval) that increases risk of arrythmias and cardiac arrest. The most common form of LQTS, type 1 long QT syndrome (LQT1), is caused by mutations in the voltage gated potassium channel protein KCNQ1. While over 250 LQT1-associated mutations in KCNQ1 have been identified, the impacts of these mutations on the channel’s structure and function are still largely unexplored. The Sanders lab’s goal is to investigate how these mutations lead to protein dysfunction. Previous studies of mutations in the KCNQ1 voltage sensing domain found that many were destabilized and exhibited reduced cell surface trafficking. This led to the hypothesis that mistrafficking due to protein destabilization is a common cause of KCNQ1 loss of function in LQT1. I plan to determine if this theme is common to mutations in other domains of KCNQ1 by characterizing a selection of mutations in the KCNQ1 pore domain for their impact on protein expression, trafficking, stability, and function. I also plan to test the hypothesis that protein destabilization is the most common cause of mistrafficking by conducting high throughput screening for molecules that bind KCNQ1 and restore trafficking by stabilizing the protein.

  • Henry Schares

    Chemical & Physical Biology, PI Brian Bachmann

    Modern drug discovery screening campaigns screen small molecule libraries that are usually limited to characterized chemical space and rarely include natural product (NP) scaffolds, even though each year NPs make up a large proportion of newly FDA approved drugs. In addition, these screens often focus on a single target or a simplified readout of bioactivity (eg. Cytotoxicity). This can lead to investigators overlooking compounds with novel therapeutic mechanisms and spending time and resources fruitlessly advancing leads with nonspecific activity. Our lab, in collaboration with Dr. Jonathan Irish and Dr. Brent Ferrell, previously developed the Multiplexed Activity Metabolomics (MAM) platform, a fluorescence cell barcoding and multiplexed immunoassay that allows for simultaneous assessment of multiple phenotypes such as cell type, apoptosis, cell cycle status, DNA Damage, and various cell signaling markers to paint a more nuanced picture of compound bioactivity at the single cell level. In collaboration with the NCI Natural Product Division (NCI-NPD), my project uses the MAM platform to screen a library consisting of pre-fractionated plant and marine invertebrate extracts against Acute Myeloid Leukemia (AML) cells. This library was curated by the NCI-NPD as an effort to make NP discovery compatible with high throughput screening. Because the contents of each library well are a mixture of NPs unknown in structure and number, my screening efforts are able to investigate uncharacterized chemical space, but each “hit” requires identification of the bioactive compound within the extract fraction. To do this I use the MAM platform in which the assay is preceded by fractionating and dispersing the compounds in the “hit” extract across assay wells while collecting chromatographic data to create a well-content specific chromatographic map via HPLC-MS. This aids in rapid dereplication of known compounds and rapid activity-guided isolation of unknown compounds that will go on to structure elucidation using 2D NMR techniques, target identification, assessment in primary samples, and mechanistic investigation in the context of AML therapy development.

     

  • Ruben Torres

    Chemistry, PI Sandra Rosenthal
    "Single Particle Tracking of Disease-linked Neuronal Signaling Membrane Proteins Using Fluorescent Nanocrystals"

    The dopamine transporter (DAT) is a transmembrane protein that modulates dopamine (DA) signaling amplitude and duration in the brain by driving rapid DA reuptake into the presynaptic nerve terminal. Several lines of evidence indicate that missense mutations, in particular A559V, result in DAT dysfunction that is linked to neuropsychiatric disorders, such as bipolar disorder, attention deficit hyperactivity disorder, and autism spectrum disorder. Our goal is to link transporter surface mobility with function. What is still unknown is how protein partner interactions influence DAT A559V lateral diffusion and the degree to which DAT, and its mutant variants, diffuse and cluster in vivo. Semi-conductor nanocrystal quantum dots (QDs) offer advantageous photophysical properties such as remarkable photostability and narrow emission spectra for single particle tracking (SPT) using optical microscopy. QDs are biofunctionalized with antagonist drug derivatives for specific DAT labeling. My research project encompasses both diffusion dynamics characterization of DAT A559V with respect to agonism/antagonism of speculated protein partners, such as the DA receptor as well as probe optimization for SPT of endogenous DAT at presynaptic nerve termini in acute striatal mouse brain slices to evaluate different diffusional states. If disturbed DAT diffusion dynamics can be linked to the central cause of the previously stated diseases, then novel diffusion recovery therapeutics can be investigated, potentially supplementing classical agonist/antagonist drug targeting.

  • Jennifer Wurm

    Quantitative & Chemical Biology, PI Lars Plate

    The CDC estimates 2.8 million people are infected each year with antibiotic-resistant bacterial infection. Without changes in current therapeutic approaches, these diseases will eventually become incurable. During my research in The Vanderbilt Laboratory for Biosynthetic Studies (VLBS), directed by Dr. Brian Bachmann, I am investigating everninomicin—an antibiotic effective against gram-positive antibiotic-resistant bacteria, produced by the organism Micromonospora carbonacea. Everninomicin inhibits bacterial protein translation by interacting with the ribosomal protein (rProtein uL16) in a binding pocket on the 50S ribosome. I analyze this structure-activity relationship by investigating how structural changes made to the everninomicin scaffold would affect binding affinity and translation inhibition. Structural analogs can be generated through use of the organism’s biosynthetic mechanisms. Of particular interest is structural biology of multiple orthoester functional groups throughout the everninomicin structure that interact with the ribosome. Additional possible engineering sites involving these orthoesters can be identified through mechanistic and biochemical studies of orthoester synthase by identifying the substrates through knockout methods and studying the enzyme-substrate interactions through metabolomics.