UROP Research Mentor Project Submission Portal: Submission #1140

Submission information
Submission Number: 1140
Submission ID: 20296
Submission UUID: f07abdb7-f42b-4bf9-b4ce-04276eb79a60

Created: Wed, 08/13/2025 - 10:13 PM
Completed: Wed, 08/13/2025 - 10:13 PM
Changed: Mon, 08/25/2025 - 01:30 PM

Remote IP address: 68.59.110.70
Submitted by: Anonymous
Language: English

Is draft: No

Research Mentor Information

Dongheon Lee
{Empty}
{Empty}
dlee@eng.famu.fsu.edu
Faculty
FAMU-FSU College of Engineering
Chemical and Biomedical Engineering
{Empty}

Additional Research Mentor(s)

{Empty}
{Empty}
{Empty}
{Empty}
{Empty}
{Empty}
{Empty}
{Empty}

Overall Project Details

Studying dynamics of membraneless organelles formation in living cells through computational modeling
synthetic biology, mathematical modeling, molecular biology
Yes
1
Engineering, Chemistry, Biochemistry, Biology, Physics, Math, Computational Science or any other relevant major
Interdisciplinary Research and Commercialization Building ,2001 Levy Avenue
there is public transportation, via FSU shuttle to innovation park
Partially Remote
10
Flexible schedule (Combination of business and outside of business. TBD between student and research mentor.)
After spontaneous protein phase separation (PS) in a living cell was observed for the first time, subsequent studies have revealed that the occurrence of biomolecular PS is ubiquitous in a living system. The immediate consequence of PS is the formation of membraneless organelles (MLOs), where select biomolecules such as proteins and mRNAs are enriched. Due to such enrichment of selective biomolecules, MLOs are suggested to play important regulatory roles in cellular processes. Past studies focused on biophysical mechanisms behind the biomolecular PS, which significantly enhances our understanding of the PS processes. Despite such progress in the past decade, we lack a predictive model that accurately predicts the dynamics of MLO formation in living cells. Motivated by the above considerations, this project aims to 1) construct a mechanistic model that describes the dynamics of MLO formation in bacteria 2) perform estimation of parameters in the proposed model to maximize the predictive capability of the proposed model based on the real microscopic images of MLOs in bacteria 3) Validate the prediction accuracy by performing new experiments (in bacteria).
Literature Review, Simulation Submissions on RCC Cluster, Data Collection, Data Analysis, Scientific Writing, and Presentation
if the simulation part goes well, students will perform fluorescence microscopy experiments to image the formation of membraneless organelles in bacteria
Required: Willingness to learn, Computer competency, Scientific curiosity
Recommended: Prior coding knowledge, Basic knowledge of molecular biology
As the most of the undergraduates are new to research and will face various challenges. I will establish various communication channels with the undergraduate to ensure that the student can communicate with me whenever an issue arises even outside of our scheduled meetings. This will be especially critical at the beginning when the student faces a completely new topic and learns new approaches. By creating such environment, I believe the student will feel supported and encouraged to ask critical questions for the success of the project and the student.
If anyone is interested in knowing more about the project, please send me an email to schedule a meeting.
No

UROP Program Elements

Yes
Yes
Yes
Yes
{Empty}
2025
https://cre.fsu.edu/urop-research-mentor-project-submission-portal?token=8HhvkXSncj8JbDNPDUeiCTG-MVOu7-SIYGRP2hVIKrM