Se-Ran Jun
Associate Professor
University of Arkansas for Medical Sciences
faculty
Biomedical Informatics, College of Medicine
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Biography and Research Information
OverviewAI-generated summary
Se-Ran Jun, an Associate Professor in Biomedical Informatics at the University of Arkansas for Medical Sciences, focuses her research on the genomic and molecular mechanisms underlying infectious diseases, particularly antibiotic resistance.
Her work has investigated the genetic factors associated with resistance in various bacterial pathogens, including *Enterobacterales*, *Enterococcus*, *Acinetobacter baumannii*, and *Klebsiella pneumoniae*. Her publications detail the isolation of resistant bacteria from clinical and food environments and explore the role of mobile genetic elements and specific gene mutations in the development of resistance to critical antibiotics such as cefiderocol and carbapenems. Jun also studies the pangenome of opportunistic pathogens like *Pseudomonas aeruginosa* to understand core and accessory genes.
Jun has secured federal funding for her research, including a $190,000 grant from the NIH/National Institute of Allergy and Infectious Diseases for developing a real-time genomic surveillance method for ESKAPE pathogens. Her scholarship metrics include an h-index of 20, 71 total publications, and 2,647 total citations. She actively collaborates with researchers at the University of Arkansas for Medical Sciences, including Kaleb Z. Abram, Ping-Ching Hsu, Nirmala Parajuli, and Marjan Boerma.
Metrics
- h-index: 20
- Publications: 71
- Citations: 2,647
Selected Publications
- Functional dissection of the genome of <i>Salmonella</i> Typhimurium to understand its tolerance to the bactericidal activity of peracetic acid (2026) DOI
- 3-D biomechanics and epigenomics reveal atypical fibroblast responses in cardiometabolic disease (2025) DOI
- Abstract C089: Modulation of DNA methylation by plasma folate and heavy metals in relation to prostate cancer aggressiveness (2025) DOI
- Simulating Cardiometabolic Disease in a 3D-Microenvironment: Human Cardiac Fibroblast Response to Nutritional Stress (2025) DOI
- A narrative review of metabolomics approaches in identifying biomarkers of doxorubicin-induced cardiotoxicity (2025) DOI
- Relevance of Cellular Homeostasis-Related Gene Expression Signatures in Distinct Molecular Subtypes of Breast Cancer (2025) DOI
- Mechanism of Impaired Protein Homeostasis in Kidney Grafts Following Cold Storage and Transplantation (Abstract ID: 162640) (2025) DOI
- Long-term effects of combined exposures to simulated microgravity and galactic cosmic radiation on the mouse lung: sex-specific epigenetic reprogramming (2025) DOI
- Cold Storage Disrupts the Proteome and Phosphoproteome Landscape in Rat Kidney Transplants (2024) DOI
- Treatment-emergent cefiderocol resistance in carbapenem-resistant <i>Acinetobacter baumannii</i> is associated with insertion sequence IS <i>Aba36</i> in the siderophore receptor <i>pirA</i> (2024) DOI
- Employing Machine Learning for the Prediction of Antimicrobial Resistance (AMR) Phenotypes (2024) DOI
- Abstract 3625: Metabolic phenotypes of doxorubicin-induced cardiotoxicity in breast cancer patients (2024) DOI
- Cold Storage Followed by Transplantation Induces Immunoproteasome in Rat Kidney Allografts: Inhibition of Immunoproteasome Does Not Improve Function (2024) DOI
- Top-Down Genomic Surveillance Approach To Investigate the Genomic Epidemiology and Antibiotic Resistance Patterns of Enterococcus faecium Detected in Cancer Patients in Arkansas (2023) DOI
- Genomic Distance-based Rapid Uncovering of Microbial Population Structures (GRUMPS): a reference free genomic data cleaning methodology (2022) DOI
Federal Grants 1 $190,000 total
Real-Time High Resolution Method for Genomic Surveillance of ESKAPE pathogens
Research Interests
I am a data scientist and bioinformatician with a strong background in mathematics. My collaborative research projects focus on the analysis and integration of multiomics data—including genomics, microbiome, transcriptomics, epigenomics, metabolomics, proteomics—to study disease and environment and to identify biomarkers using statistical learning, machine learning, and deep learning methodologies. In parallel, I conduct pathogen surveillance research, leveraging genomic and microbiome data integrated with electronic health records (EHRs) to monitor and track infectious disease and understand the mechanisms and dissemination of antibiotic resistance, with an emphasis on two clinical applications: infection prevention and antibiotic stewardship. My wet laboratory activities focus on real-time surveillance of antimicrobial-resistant pathogens, particularly in immunocompromised patient populations.; Machine Learning and Statistical Learning; Microbial Informatics and Data Science; Pathogen Surveillance and Epidemiology; Microbial Genomics and Microbiome Science; Computational Systems Biology; Infection Prevention and Antimicrobial Stewardship; Oxford Nanopore Sequencing
Grants & Funding
- Real-Time High Resolution Method for Genomic Surveillance of ESKAPE pathogens NIH/Nat. Inst. of Allergy & Infectious Diseases Principal Investigator
- Cefiderocol heteroresistance and resistance in carbapenem-resistant pathogens UAMS VCRI Pioneer Award Co-Investigator
- Center for Microbial Pathogenesis and Host inflammatory responses NIH/NIGMS Co-Investigator
- Comparative WGS analysis of the two commercial live Salmonella vaccine strains Zoetis - Pass Through: University of Arkansas Principle Investigator
- The epigenomic stress-induced mechanisms in Daptomycin & Vancomycin-Resistant Enterococcus faecium UAMS COM Barton Principle Investigator
- In vivo essential genome of Salmonella NIAID - pass through University of Arkansas Principal Investigator
- Development of a minimally invasive biomarker assay to detect delayed radiation injury NIH/Nat. Inst. of Allergy & Infectious Diseases Co-Investigator
- Targeting heat shock protein 72 to improve renal function after transplantation NIDDK Co-Investigator
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