Nathan S. Reyna Data-verified
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Associate Professor
faculty
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Biography and Research Information
OverviewAI-generated summary
Nathan S. Reyna's research program investigates the role of circulating microRNAs (miRNAs) as biomarkers for disease diagnosis and treatment response, particularly in the context of cancer and viral infections. His work has focused on identifying specific miRNA profiles associated with hepatocellular carcinoma related to Hepatitis B virus infection and predicting patient response to neoadjuvant chemotherapy for breast cancer. He also explores the application of gene expression analysis and bioinformatics tools, such as Cancer BioPortal, in both research and educational settings.
Reyna is also engaged in developing and implementing effective pedagogical strategies for undergraduate science education. He has published on the use of synthetic biology as a course-embedded research experience and strategies for transitioning cell culture laboratory courses to online formats. He is the Principal Investigator on an NSF RCN-UBE grant totaling $500,000, supporting the Cell Biology Education Consortium's Pathway to Publication initiative. His collaborations include work with researchers at Ouachita Baptist University and the University of Arkansas for Medical Sciences.
Metrics
- h-index: 9
- Publications: 31
- Citations: 707
Selected Publications
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ZNF16 is a nucleolar-associated protein that regulates expression of rDNA and cancer-associated genes (2025)
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ZNF16 is a nucleolar-associated protein that regulates expression of the rDNA and cancer-associated genes (2025)
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Enhancing reproducibility in single cell research with biocytometry: An inter-laboratory study (2024)
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miR-127/3p Inhibits Cell Migration in Lung Adenocarcinoma Under Hypoxic and Normal Oxygen Conditions (2024)
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An inclusive Research and Education Community (iREC) model to facilitate undergraduate science education reform (2024)
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Enhancing reproducibility and decentralization in single cell research with biocytometry (2024)
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Exosomal MicroRNA and Protein Profiles of Hepatitis B Virus-Related Hepatocellular Carcinoma Cells (2023)
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Complete Genome Sequences of Chop, DelRio, and GrandSlam, Three <i>Gordonia</i> Phages Isolated from Soil in Central Arkansas (2023)
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From genetics to biotechnology: Synthetic biology as a flexible course‐embedded research experience (2022)
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Twitter: More than Tweets for Undergraduate Student Researchers (2022)
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Circulating Exosomal microRNAs as Predictive Biomarkers of Neoadjuvant Chemotherapy Response in Breast Cancer (2022)
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Gene Expression and Data Analysis Pipeline Using Cancer BioPortal in the Classroom <sup>†</sup> (2021)
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Reading and Discussing Popular Media to Increase SEA-PHAGES Student Engagement (2021)
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Transitioning Cell Culture CURE Labs from Campus to Online: Novel Strategies for a Novel Time <sup>†</sup> (2021)
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Gene Expression and Data Analysis Pipeline Using Cancer BioPortal in the Classroom <sup>†</sup> (2021)
Federal Grants 1 $500,000 total
RCN-UBE: Cell Biology Education Consortium: Pathway to Publication
Collaboration Network
Top Collaborators
- Twitter: More than Tweets for Undergraduate Student Researchers
- Gene Expression and Data Analysis Pipeline Using Cancer BioPortal in the Classroom <sup>†</sup>
- Transitioning Cell Culture CURE Labs from Campus to Online: Novel Strategies for a Novel Time <sup>†</sup>
- Gene Expression and Data Analysis Pipeline Using Cancer BioPortal in the Classroom <sup>†</sup>
- Driving Innovation in Cell Biology Education: The Cell Biology Education Consortium
Showing 5 of 8 shared publications
- Twitter: More than Tweets for Undergraduate Student Researchers
- From genetics to biotechnology: Synthetic biology as a flexible course‐embedded research experience
- miR-127/3p Inhibits Cell Migration in Lung Adenocarcinoma Under Hypoxic and Normal Oxygen Conditions
- Collaborative research efforts benefit both Primarily Undergraduate Institution faculty and students and a biotechnology company in reproducibility project
- From genetics to biotechnology: Synthetic biology as a flexible course‐embedded research experience
- Enhancing reproducibility and decentralization in single cell research with biocytometry
- Enhancing reproducibility in single cell research with biocytometry: An inter-laboratory study
- Collaborative research efforts benefit both Primarily Undergraduate Institution faculty and students and a biotechnology company in reproducibility project
- Enhancing reproducibility and decentralization in single cell research with biocytometry
- Enhancing reproducibility in single cell research with biocytometry: An inter-laboratory study
- Collaborative research efforts benefit both Primarily Undergraduate Institution faculty and students and a biotechnology company in reproducibility project
- ZNF16 is a nucleolar-associated protein that regulates expression of the rDNA and cancer-associated genes
- Circulating Exosomal microRNAs as Predictive Biomarkers of Neoadjuvant Chemotherapy Response in Breast Cancer
- Exosomal MicroRNA and Protein Profiles of Hepatitis B Virus-Related Hepatocellular Carcinoma Cells
- Musculoskeletal miRNA profiling after exposure to simulated space stressors in mice
- Exosomal MicroRNA and Protein Profiles of Hepatitis B Virus-Related Hepatocellular Carcinoma Cells
- Musculoskeletal miRNA profiling after exposure to simulated space stressors in mice
- Gene Expression Profile of Gm20594 and Hapln1 in Mouse Cardiac Muscle Exposed to Microgravity and Space-like Chronic Low-Dose Radiation
- Exosomal MicroRNA and Protein Profiles of Hepatitis B Virus-Related Hepatocellular Carcinoma Cells
- Musculoskeletal miRNA profiling after exposure to simulated space stressors in mice
- Gene Expression Profile of Gm20594 and Hapln1 in Mouse Cardiac Muscle Exposed to Microgravity and Space-like Chronic Low-Dose Radiation
- Enhancing reproducibility and decentralization in single cell research with biocytometry
- Enhancing reproducibility in single cell research with biocytometry: An inter-laboratory study
- Collaborative research efforts benefit both Primarily Undergraduate Institution faculty and students and a biotechnology company in reproducibility project
- Enhancing reproducibility and decentralization in single cell research with biocytometry
- Enhancing reproducibility in single cell research with biocytometry: An inter-laboratory study
- Collaborative research efforts benefit both Primarily Undergraduate Institution faculty and students and a biotechnology company in reproducibility project
- Enhancing reproducibility and decentralization in single cell research with biocytometry
- Enhancing reproducibility in single cell research with biocytometry: An inter-laboratory study
- Collaborative research efforts benefit both Primarily Undergraduate Institution faculty and students and a biotechnology company in reproducibility project
- Enhancing reproducibility and decentralization in single cell research with biocytometry
- Enhancing reproducibility in single cell research with biocytometry: An inter-laboratory study
- Collaborative research efforts benefit both Primarily Undergraduate Institution faculty and students and a biotechnology company in reproducibility project
- Enhancing reproducibility and decentralization in single cell research with biocytometry
- Enhancing reproducibility in single cell research with biocytometry: An inter-laboratory study
- Collaborative research efforts benefit both Primarily Undergraduate Institution faculty and students and a biotechnology company in reproducibility project
- Gene Expression and Data Analysis Pipeline Using Cancer BioPortal in the Classroom <sup>†</sup>
- Gene Expression and Data Analysis Pipeline Using Cancer BioPortal in the Classroom <sup>†</sup>
- Gene Expression and Data Analysis Pipeline Using Cancer BioPortal in the Classroom <sup>†</sup>
- Gene Expression and Data Analysis Pipeline Using Cancer BioPortal in the Classroom <sup>†</sup>
- Gene Expression and Data Analysis Pipeline Using Cancer BioPortal in the Classroom <sup>†</sup>
- Gene Expression and Data Analysis Pipeline Using Cancer BioPortal in the Classroom <sup>†</sup>
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