OSCAR Celebration of Student Scholarship and Impact
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Excellence Award Winners

Dr. Jennifer Nicoll Victor​ – 2025 Faculty Mentoring Excellence Award Recipient

About Dr. Victor

Dr. Jennifer Nicoll Victor is an Associate Professor in the Schar School Policy and Government. Dr. Victor has established the Undergraduate Research Assistants Program (URAP) with in the Schar school and employs OSCAR Research Assistants to assist in her research. Since 2016, Dr. Victor has mentored over 100 undergraduate students and aims to foster a culture of mentorship, modeling professionalization attributes to students, and provides opportunities for growth.

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Excellence Award Winners

Dr. Ozlem Dilek ​- 2025 Faculty Mentoring Excellence Award Recipient

About Dr. Dilek

Dr. Ozlem Dilek is an Assistant Professor in the Chemistry and Biochemistry department. Dr. Dilek currently supports four undergraduate students in her research and employs OSCAR Research Assistants to assist in her work. She aims to actively engage with students to help meet their academic and career aspirations. She is described as being deeply committed to her students’ personal success and growth and creates a supportive culture of student scholarship. 

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Excellence Award Winners

Dr. Ali Beheshti​ – 2025 Faculty Mentoring Excellence Award Recipient

About Dr. Beheshti

Dr. Ali Beheshti is an Assistant Professor in the Mechanical Engineering department, and is also the director of Tribology and Surface Mechanics Lab. During his time at George Mason, Dr. Behesti has mentored 15 undergraduate research students and is described as being a sought-after mentor in his department. He strives to be an advocate in their success by providing high quality mentoring with direct engagement in challenging yet rewarding engineering problems. 

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Excellence Award Winners

Mary Catlin​ – 2025 Graduate Student Mentoring Excellence Award Recipient

About Mary

Mary Catlin is a doctoral student in Criminology, Law and Society at George Mason University working as a research assistant for Dr. Allison Redlich in the MoDiLS Lab. While at George Mason, Mary has mentored 41 undergraduate students and takes pride in being a resource to student success and describing the mentoring process as a passion of hers. In Fall 2025, Mary will start as an Assistant Professor in a research-intensive criminal justice program and looks forward to continuing her mentoring efforts in her new role. 

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Excellence Award Winners

Anna Garren – 2025 Student Excellence Award Recipient

About Anna

Anna is an undergraduate in Computational and Data Sciences. Since 2022, she has served as a research assistant in the Schar school, and researches educational policies with a specific focus on North Carolina student and school data analysis. Additionally, she is a contributing author to the book, School Resources, the Achievement Gap, and the Law: Reconsidering School Finance in US Education Policy. In Spring 2025, she is presenting her research at the National Conference on Undergraduate Research in Pittsburgh, PA.

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Excellence Award Winners

Daniel Cardona – 2025 Student Excellence Award Recipient

About Daniel

Daniel is an undergraduate student studying Civil and Infrastructure Engineering. His research assesses the effectiveness of natural and nature-based features in attenuating waves, a critical hazard to coastal communities, and he has been a Flood Hazard Research Assistant since 2024. In Spring 2025, he is leading a research project in coordination with Fairfax County in which he is investigating potential benefits and trade-offs of flood mitigation strategies considering marsh migration and re-allocation. ​

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Excellence Award Winners

Amira Anwar – 2025 Student Excellence Award Recipient

About Amira

Amira is an undergraduate student studying Neuroscience. Her research focuses on florescent probe and tool development for early detection of oxidate stress-induced carbonylation in cells. Her work also led her to synthesize a fluorescent probe and characterize it using different spectroscopic methods. Since 2023, Amira has been an OSCAR Research Assistant under the guidance of Dr. Dilek and in Spring 2025, she is presenting her research at the National Conference on Undergraduate Research in Pittsburgh, PA. 

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College of Humanities and Social Science College of Science OSCAR

Spectroscopic characterization of newly designed fluorescent probes for biomedical research

Author(s): Amira Anwar

Mentor(s): Ozlem Dilek, Chemistry & Biochemistry

Abstract

The development of fluorescent probes is crucial for advancing cellular imaging and disease diagnostics, particularly in detecting oxidative stress, a key driver of cancer, neurodegenerative diseases, and fibrosis. A hallmark of oxidative stress is the carbonylation of biomolecules, which occurs when reactive oxygen species (ROS) modify proteins and other biomolecules, leading to cellular dysfunction. In this project, we designed and synthesized hydrazine-based small-molecule fluorophores to selectively target biological aldehydes, particularly those generated by lysyl oxidases (LOXs) during collagen oxidation. These aldehydes serve as important biomarkers of fibrosis and metastatic progression. The fluorophores react with aldehydes to form hydrazones, resulting in a fluorescence turn-on response that enables real-time monitoring of oxidative stress in cellular systems. To characterize probe performance, we analyzed their photophysical properties using UV-visible and fluorescence spectroscopy. Additionally, reaction kinetics were evaluated via UV-visible spectrophotometry, and structural validation was conducted using NMR and mass spectrometry. By refining probe design for enhanced fluorescence sensitivity and specificity, this work contributes to the development of next-generation imaging tools for studying disease mechanisms and advancing biomedical diagnostics.

Audio Transcript

Hi everyone, and thank you for checking out my presentation. I’ll be sharing my research on the spectroscopic characterization of newly designed fluorescent probes for biomedical research. These probes are designed to detect biologically relevant aldehydes—aldehydes are highly reactive molecules that can build up in the body during oxidative stress. This kind of cellular stress is involved in many major health conditions like cancer, fibrosis, and neurodegenerative diseases. By creating tools to visualize these aldehydes in real time, we hope to provide a better way to study early-stage disease and potentially improve how we diagnose and/or monitor these conditions. So, why is this important? Our bodies naturally produce molecules called reactive oxygen species, or ROS. But when there’s too much ROS and not enough defense, it leads to oxidative stress. This damages important parts of our cells—proteins, DNA, lipids, and nucleic acids. One of the results of this damage is something called carbonylation, an irreversible modification to proteins that disrupt its normal function which serves as a biomarker for disease progression. By detecting this early and accurately could give us new ways to track disease or catch it early—especially in conditions like cancer or metabolic disorders. Right here is an image of a normal cell being attacked by free radicals, elevated levels of ROS leads to oxidative stress. The role of LOX. A group of enzymes called lysyl oxidases, or LOX are important in building collagen, the main protein in connective tissues. But during that process, they produce aldehydes.These aldehydes, especially when overproduced, are closely tied to tissue damage and disease. So if we can track them, we can better understand what’s going on in the body during early disease stages.So this ia relaly good image on how LOX cross linking collagen occurs and potential way to image LOX. To tackle this, I designed a small molecule—called fluorescent probe—that glows when it detects aldehydes. The idea is simple: no aldehyde, no glow. But when an aldehyde is present, the probe reacts and lights up.This happens via click chem mechanism Shown right here. This kind of “turn-on” fluorescence lets us track where and when aldehydes are forming, even in real-time, which is incredibly useful for research and diagnostics. Here’s a detailed view of how it works: We start with an amine which converts into a hydrazine molecule—Molecule 5. This hydrazine reacts specifically with aldehydes. Once it does, the product becomes a fluorescent hydrazone molecule. We tested this with two model aldehydes: formaldehyde and butyraldehyde. And we saw that when the reaction happens, there’s a clear increase in fluorescence.To study the probe’s behavior, we used tools like UV-Vis and fluorescence spectroscopy. These techniques let us measure how much light the molecule absorbs and emits. Our data showed that after reacting with butyraldehyde, there was a strong increase in fluorescence. That confirmed the probe was working just as we hoped. We also wanted to know how fast this reaction happens and in what environments it works best.In our kinetic studies, we found that the probe reacted more quickly with butyraldehyde than with formaldehyde, and it performed better in methanol than in pbs which is similar to human body ph 7. Even better, the reaction happens in seconds, which is perfect for real-time tracking. Here’s a visual. In these three vials, you can see how the probe behaves: The first vial just has the probe in methanol—no fluorescence. The second has methanol, butyraldehyde and the probe—strong fluorescence. The third has methanol, formaldehyde and the probe—some fluorescence, but not as much.So, in summary, we’ve developed a fluorescent probe that’s small, fast-reacting, and selective for aldehydes. It gives a clear signal when aldehydes are present, which opens up exciting possibilities for detecting biologically relevant aldehydes, with an emphasis on those generated by lysyl oxidases (LOX). This tool could help researchers track disease progression or even assist in diagnostics in the future. Our next steps include:Testing the probe in live cells to see how it performs in biological systems. Making more versions of the probe, including ones that work in the near-infrared range for deeper imaging in tissues. And eventually, applying it in 3D printed tissue models or even live animal studies.Thank you so much for watching!

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College of Humanities and Social Science OSCAR

Assessing Soil Organic Matter In a Legacy Wetland Mesocosm after the Colonization of Invasive Species

Author(s): Trinity Lavenhouse

Mentor(s): Changwoo Ahn, Environmental Science and Policy Department

Abstract

This study was conducted in Dr. Ahn’s wetland mesocosm on West Campus at George Mason University. Inside there are 40 wetland mesocosms that were created in 2012. The mesocosms were initially planted with 0 to 4 different native wetland species. Since COVID-19, maintenance halted which allowed the colonization of invasive species for the past three to five years. The goal of this study was to determine the amount of soil organic matter in each mesocosm after the colonization of invasive species. The hypothesis was that because there were more plants than there were previously, there will be a higher amount of soil organic matter in these mesocosms. The soil organic matter percentage was processed using the loss on ignition method. It was found that mesocosms that had sparsely spread, or no plants had the lowest soil organic matter while overgrown and dense mesocosms had the highest soil organic matter. After about 10 years, soil organic matter seemed to increase from a range of 2.36% to 2.59% to now a range of 4.15% to 6.21%. In the future a soil bulk density will be processed to analyze how soil porosity or compaction correlates with the soil organic matter found within the mesocosms. Also, plant identification will be conducted for all 40 mesocosms.

Audio Transcript

Hello, my name is Trinity Lavenhouse, and I am presenting my research on assessing soil organic matter in a legacy wetland mesocosm after the colonization of invasive species. My mentor is Dr. Changwoo Ahn.
So, to start off I am going to explain the importance of measuring soil organic matter! Soil organic matter is made up of decomposed plant and animal material. They contain quite a lot of organic compounds and are full of nutrients that help plants grow. So in general, it is important to measure the amount of soil organic matter that is present because it can indicate how healthy and fertile the soil is for plants to grow.
This study was conducted in Dr. Ahn’s wetland mesocosm on West campus in George Mason University. Inside there are 40 wetland mesocosms that were created in 2012. The mesocosms were initially planted with 0 to 4 different native wetland species. This picture is from 2014 after 2 growing seasons. Since COVID-19, maintenance halted. Unwanted plants weren’t removed and the water levels weren’t monitored like they use to be. This allowed the colonization of invasive species for the past three to five years. So, the goal of this study was to determine the amount of soil organic matter in each mesocosm after the colonization of invasive species. The hypothesis was that since there were more plants than there were previously, there will be a higher amount of soil organic matter in these mesocosms.
To take samples the mesocosms were split into 5 sections and one sample was taken from each section within the top 20 centimeters where organic matter is the most present, because soil organic matter decreases as you go further down. This was repeated for all 40 mesocosms. The soil organic matter percentage was processed using the loss on ignition method. To carry this out each sample was dried at 105°C for two days. After they were completely dry, they stayed in a desiccator to cool and were then crushed in with a mortar and pestle and sieved through a 2mm filter to get everything that is too big to go into the crucibles. The fine dirt was then placed in crucibles and fired at 360 Celsius for two hours and they were placed back into the desiccator to cool. Soil organic matter percentage is the percentage change of mass.
The results were all collected and all five of the samples were compiled and averaged represent the one mesocosm. It was found that mesocosms that had sparsely spread, or no plants had the lowest soil organic matter while overgrown and dense mesocosms had the highest soil organic matter. The standard error bars are large in mesocosms that had more plants or organic matter in a section than other sections. The mesocosms were then grouped by the initial number of species planted. There seems to be no significant difference across the board and the reason for that will be analyzed further.
In a previous study conducted by another person in this lab named Mary Means, they measured the total carbon content of all of the 34 planted mesocosms in 2014. Total carbon content is a is about 58% of soil organic matter so that conversion was used to estimate what the soil organic matter content was back in 2014. About ten years until now, later soil organic matter seemed to increase from a range of 2.36% to 2.59% to now a range of 4.15% to 6.21%. In the future a soil bulk density will be processed to analyze how soil porosity or compaction correlates with the soil organic matter found within the mesocosms. Also, plant identification will be conducted for all 40 mesocosms as when these samples were initially taken most of the plants were dead because it was the end of the winter.
Thank you for listening!

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College of Engineering and Computing OSCAR

Comments to Communities: Modeling Online News-Related Discourse

Author(s): Reva Hirave

Mentor(s): Antonios Anastasopoulos, Computer Science

Abstract

This project presents the development of a lightweight, extensible tool designed to collect and aggregate user-generated commentary from online news platforms, including the New York Times, Fox News, and Reddit. By unifying disparate data formats into a standardized structure, this tool facilitates downstream tasks such as toxicity analysis, network modeling, and discourse comparison. To date, over 9,000 comments have been collected, and preliminary analysis using the Perspective API reveals cross-platform trends in toxicity and engagement. Additionally, early visualizations of user interaction networks explore the extent to which individuals engage outside their ideological or topical communities. Ultimately, this project aims to offer a command-line interface that enables customizable data harvesting across platforms, with filters for topic relevance, discussion tree structure, and other discourse features. This tool lays the groundwork for deeper investigations into online news discourse and community polarization.

Audio Transcript

Hi, I’m Reva, and this is Comments to Communities—a project about modeling how people talk about the news across online platforms.

The first rule of the internet: don’t forget the comments. Wreck-It Ralph wasn’t really wrong. Comment sections are chaotic, often toxic, and sometimes considered the worst parts of the internet. But they’re also where some of the most honest and unfiltered public discourse can happen. So instead of ignoring the comments, this project combs through thousands of them.

News sites and social media platforms host ideologically distinct communities. Commenters on The New York Times don’t necessarily talk anything like those on Fox News. Comments can reveal more than just interactions between strangers—they can reflect how online communities construct, challenge, or echo narratives around ongoing social issues.

But right now, existing tools for studying discourse fall short. They usually focus on one platform or treat comments as isolated utterances rather than parts of larger conversations. They also rarely combine toxicity metrics with network structure, which means they don’t fully capture complex social relationships.

This project addresses those gaps. These insights led us to two research questions:

How do different online communities talk about the news, and do they talk across ideological lines?

How can we measure the health of these discussions in ways that go beyond just likes or shares?

To answer these questions, we built a lightweight tool that scrapes and standardizes comments from three platforms: The New York Times, Fox News, and political subreddits. The tool unifies this data into a common format, adding metadata like reply structure and timestamps. This makes it easy to analyze both the content and the shape of these discussions—like who’s replying to whom, and how toxic the exchanges are.

So far, we’ve collected about 4,000 comments from The New York Times, another 4,000 from Reddit, and around 1,000 from Fox News. That’s just under 9,000 posts total, and while it’s not enough yet, it’s already yielded some compelling visualizations.

These are reply networks for Fox News, and you’ll also see one for The New York Times. Each node is a comment, and the size corresponds to the number of replies it received. Every edge—or line—represents a reply relationship. Nodes are color-coded by toxicity: green for less toxic and red for more toxic. These toxicity labels were generated using Google’s Perspective API.

These networks already hint at platform-specific dynamics and how polarized—or productive—these spaces can be. For example, if we look at the New York Times network, some circles are larger simply because they have more replies. One discussion concerns an op-ed about a former Kamala Harris skeptic, which is represented as the largest node in the middle. As expected, most comments have zero replies and cluster near the original post, but there are a few longer threads as well.

This opens up a range of further research questions, like: Do toxic comments produce toxic replies? Could we predict when a conversation will become toxic?

Why does any of this matter? Tools like this can help journalists, sociologists, and NLP researchers ask new kinds of questions—not just what people are saying, but how they’re saying it. If we want healthier discourse, we first need to understand how people talk. This project offers a step in that direction by making comment sections a little less mysterious and a lot more measurable.

This work builds on research from the 2024 Yellow Neck Workshop at Johns Hopkins and is supported by the OSCAR Program at George Mason University. I’d like to thank Dr. Antonis Anastasopoulos and the AI-Curated Democratic Discourse team from the JHU workshop.

Thank you so much for listening. Feel free to reach out if you want to explore the tool or just talk about the project. I’m available at arhavegu.edu.

Thank you again.

Categories
College of Humanities and Social Science OSCAR

Evaluating Perceptions of Basic Psychological Needs in Full-Time Employees

Author(s): Jessica Luther

Mentor(s): Lauren Kuykendall, Psychology

Abstract

The climate of the current workplace has changed drastically within the past few years, as a result of many jobs moving to remote work. Many employees have had to learn how to adjust to dealing with the physical separation of leadership, as well as balance their own basic psychological needs in a new environment. These three needs, autonomy, competence, and relatedness, are important workplace predictors that still need further exploration in the remote workplace. This study samples from both remote and in-person workers, providing a clear comparison of how the change in workplace setting impacts an employee’s perception of leader-member quality, as well as their basic psychological needs. We hypothesized that LMX would have a significant and positive impact on each basic psychological need. We also hypothesized that remote work will moderate the relationship between LMX and each basic psychological need, such that the positive relationship will be stronger for non-remote workers than remote workers. Participants consisted of 241 full-time employees, 123 in-person workers and 118 remote workers. Results show that while the correlation between LMX and each basic psychological need were significant, they were not statistically different between work locations. This has implications for how the basic psychological needs can be fulfilled in the remote environment, challenging the assumption that the in-person environment is better at fostering better leader relationships and significance of the impact on the employee.

Audio Transcript

Hi everyone! My name is Jessica Luther and this is my project, Evaluating Basic Psychological Needs in Full-Time Employees. This study was done with the help of Dr. Kuykendall, and represents my research conducted for the third semester of the Honors in Psychology program. Since COVID, there’s been more flexibility in allowing employees to have part-time and full-time positions working remotely. Prior research shows that perception of leader quality is a predictor for employee well-being which has been studied in both the in-person and remote environments. The perception of someone’s basic psychological needs has also been seen to change the remote environment, a result of whether it be not seeing people, or whether it be feelings of social isolation. Basic psychological need perception has also changed. Connecting these three topics, since COVID we have seen a lot of people moving to remote positions, and a lot of the recent research in remote work kind of reflects how leader quality or leadership styles are impacting employees, specifically, the outcomes such as autonomy, motivation, a lot of stress-related outcomes as well. So, for this study to provide a direct comparison between in-person and remote employees we looked at how leader member exchange, which is noted as LMX, or also known as the perception of leader quality, is moderated by remote work and how remote work changes the relationship that someone might have with their leader or the perception of the quality they have with their leader and how that impacts their three basic psychological needs, which are autonomy, competence, and relatedness. My hypotheses are split into two parts, you have hypotheses 1a through 1c. This deals with direct associations between LMX and autonomy, LMX and competence, and LMX and relatedness. Prior research shows LMX is positively related to autonym, competence and relatedness, so we assume the same thing for this study. Hypotheses 2a, 2b, and 2c are where my contribution to the research comes in. It suggests that remote work moderates this relationship so remote work will moderate the relationship between LMX and each basic psychological need, such that the positive relationship will be stronger for no-remote workers than remote workers. Basically, insinuating that we will see that autonomy, competence and relatedness are both significant and stronger for in-person employees rather than remote employees. So, my participants were 241 full-time employees, 51% worked in-person, 49% worked remotely. We did not include any hybrid workers or anyone who worked part-time just to have a more balanced sample of who we were sampling from so full-time in this case was defined as working 35 plus hours per week. 42.3% were male, 55.2% were female, and 2.5% identified as non-binary. They were excluded if they worked part-time, were hybrid workers, or resided somewhere other than the U.S.. So, the methodology for this was that they were recruited on Prolific, which is an anonymous survey taking website, and the survey itself took place on Qualtrics. The two instruments used were the LMX-7, which measures perceived leader-member quality, or leader-member exchange, and Self Determination Theory 21, or SDT-21 Basic Psychological Needs at Work Scale, which measures each basic psychological need through statements that were tested using a Likert scale. Participants, for their participation, were compensated 2.85%. So, for the results, we ran a correlational analysis between LMX and SDT, separating remote participants from in-person participants, so that we would be able to directly compare their results. We actually found that each component of self-determination theory, autonomy, competence, and relatedness, was significant with LMX in both groups. So Hypotheses 1a-1c were supported, which was expected because we’ve already seen this in prior research, However, Hypotheses 2a-2c were not supported. Even though each component was significant for in-person, through further testing we found that while everything was significant, they were significantly different so the correlations between LMX and SDT of in-person workers was not significantly different than LMX and SDT of remote workers. That suggests that these needs can be filled in both environments. The implications for this show how leadership perceptions might not really change based on environments, and even then, it’s not statistically significant between the two environments themselves, and actually remote work can still be a supporting environment, given that people have supportive leadership roles and supportive leaders that they can count on. One of the studies that I read noted that social isolation was a really really big concern, which could really damage someone’s feelings of relatedness. However, as seen in the table, relatedness was still significant in remote workers using LMX, so having that supportive leadership role really can help fill the need for relatedness. Further research should take into account what hybrid work or part time work might reveal because those are really samples as well. Knowing how different samples perceive different leadership styles is really important to understanding how leaders can support their employees and how leaders can really help fulfill some of these psychological needs. For my acknowledgements, I wanted to say that this couldn’t have been done without OSCAR funding, it was used to help compensate the participants for their participants, and I also wanted to thank Dr. Brielmaier, Dr. Zaccaro, and Dr. Z for all their help in my project as well. Thank you.

Categories
College of Science OSCAR

Synthesis and spectroscopic characterization of drug-fluorescent probe conjugates for live cell imaging

Author(s): Maryam Baig

Mentor(s): Ozlem Dilek, Chemistry and Biochemistry

Abstract

Recent advancements in technology and medicine have brought attention to fluorescent probes due to their non-invasive, highly sensitive capabilities in live cell imaging, especially in biomedical fields. These probes are particularly valuable for visualizing cellular signaling processes and tracking drug activities at the cellular level, making them essential tools for studying cell functions and drug delivery systems. In this study, we focus on the development and characterization of a coumarin-based fluorescent probe conjugated with omaveloxolone (OMA), a drug used to treat rare genetic disorders. The resulting drug-fluorophore conjugate provides a means to explore organelle-specific drug activation and monitor cellular signaling processes. The synthesis begins with the preparation of a fluorescent hydrazone compound, which is then conjugated to OMA to create the final drug-fluorophore construct. The conjugation process was monitored using kinetics and UV-vis spectroscopy, with detailed studies of reaction kinetics, including solvent choice and concentration, aimed at optimizing conditions for further investigations. The drug-fluorophore conjugate was characterized through thin-layer chromatography (TLC), nuclear magnetic resonance (NMR), and UV-vis spectroscopy. Various optimization steps were implemented to enhance the conjugate’s stability and efficiency, ensuring maximum fluorescence while preserving the biological activity of OMA. The fluorescent probe is designed to possess strong fluorescence and stability, making it ideal for cellular labeling when conjugated with the OMA drug. This conjugate is expected to demonstrate high fluorescence efficiency, stability within the cellular environment, low toxicity, and sufficient cell permeability. With the integration of fluorescent imaging technologies and molecular designs, drug visualization will have the potential to redefine our understanding of drug action in cellular systems, enabling the drug-conjugate dynamics in subcellular environment from new perspectives.

Audio Transcript

My name is Maryam Baig. I am a senior undergraduate at George Mason University, and I am presenting my project on the Synthesis and spectroscopic characterization of drug-fluorophore conjugates for live cell imaging. I had the opportunity to work on this project through Dr.Ozlem Dilek, who is part of the Department of Chemistry and Biochemistry located in the Institute for Advanced Biomedical Research at SciTech campus.

To provide a background for this project, I’d like to begin by explaining what fluorophores are. Fluorophores are chemical molecules that absorb Ultraviolet Visible light and project the emission in the form of light, and they help make up fluorescent probes. Fluorescent probes are molecular tools that allow scientists to visualize and observe live cell processes using highly sensitive, non-invasive and safe detection in biological cells. Omaveloxolone (OMA) is a drug being developed to treat Frederick’s ataxia, a rare and worsening disease that affects the nervous system. The fluorophore we are using for this project is a coumarin, and we have found that coumarin-based fluorophores have low inherent toxicity and can be readily internalized and washed out from cells, making them ideal for cell studies. In this project, we will focus on developing the fluorescently labeled OMA to monitor the delivery of fluorophore-OMA drug probes inside cells.

On this slide, we have two molecules that we will be using for our project. On the left side, you can see the OMA drug. It is a big molecule with multiple ketones present. Those are the double bonds with the oxygen molecules. On the right side, we have our CF3 coumarin. This is a published molecule and it is the coumarin that will we will be synthesizing and then conjugating with the OMA.

On this slide we have the synthesis procedure of our starting material, which is an amine, into the CF3 hydrazine that we will be using to conjugate to the OMA. As you can see, we will be adding an NH2 group, which is in amine group, to the existing amine.

To begin, we started by doing a thin layer chromatography between the drug, the dye and the conjugate after we had made the three. We diluted our samples in methanol, and then our TLC chamber solutions included various ratios of solvents that allowed us to visualize the mobility and composition of molecules on the TLC plates.

These are images from our TLC experiment. The samples on the left on the TLC plates are the CF3 dye, while the samples on the right are the product. As you can see, we observed a slight difference in shift between the lowest dots on the TLC samples. This indicates that we may have something new in our product.

From here we moved onto kinetics experiments, and after doing absorbance and emission data collection and nuclear magnetic resonance tests, we were able to make some conclusion. The data from the absorbance and emission graphs show that the drug-dye conjugate is fluorescent. Our NMR comparison between the CF3, the purified conjugate, and the OMA drug also gave us interesting results which we will see in the further slides.

This slide shows a comparison of the absorbance and emission data graphs that we collected for the conjugate to help us understand the composition of our molecule. As stated in the legend at the bottom of the slide, we can see that the CF3 is shown in red, the OMA is shown in blue, and the conjugate is shown in green. And if we look at the graphs, we can see that the red and green lines were very similar while the blue line was not as high. Because the red and green lines are so similar, we came to question if the dye may be overpowering the drug.

To see a more detailed and more accurate composition of the molecules we had worked with we conducted NMRs for each of the molecules. The purpose of an NMR is to analyze the magnetic properties of atomic nuclei to study the structure, the dynamics and interactions of the molecule. The area outlined here by black lines is where we will zoom in for the next slide.

Enlarging that small area shows us these multiple peaks that appear between the three samples. The yellow highlight indicates peaks that belong to the OMA drug. The blue highlighted peaks indicate the CF3 molecule, and the darker blue highlighted peaks indicate that we may still have some starting material remaining in our conjugate.

Based on the results of our NMR and the other test that we conducted we plan to move forward by trying to figure out where the CF3 is attaching on the OMA drug and how we can predict an NMR for it. Because of the dark blue highlight peaks that were present in our NMR on the previous slide, we decided to re-crystallize the CF3 coumarin to purify it further before we make another conjugate, and to try and get rid of those extra peaks. Finally, we plan to expand our range of molecules that can be conjugated with the OMA drug to see which one will be most efficient. We did a quick experiment in vials using small samples of different types of small molecules which you can see in this bottom image here and you can see were able to fluoresce. We plan to go forward with molecules numbers 2, 5, and 8, and study them further to see if they will be able to conjugate with the OMA drug.

Lastly, I’d like to acknowledge and thank Dr.Ozlem Dilek, Eva-Maria Rudler, and the rest of the Dilek team for their support and guidance throughout this project along with the GMU Department of Chemistry and Biochemistry. Additionally, I would like to express my gratitude to Dr.Karen Lee and the OSCAR team for giving me this unique research opportunity. Thank you for listening to my presentation.