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John Yin

John Yin

Professor
Vilas Distinguished Achievement Professor
Theme Leader of Wisconsin Institute for Discovery

Viruses cause a diversity of human diseases including acquired immunodeficiency syndrome(AIDS), influenza, hepatitis, and cancer. The focus of our research is to develop new experimental and computational methods to better understand how viruses grow and how their infections spread. Our ultimate goal is to apply these methods to create more effective vaccines, design potent anti-viral therapies, and engineer useful viruses. We currently study human rhinovirus, which causes the common cold and promotes asthma in infants, and vesicular stomatitis virus (VSV), a virus that may be engineered to destroy cancers.

As the smallest organisms viruses range from 20 to 300 nanometers in diameter and carry genomes that encode from 5 to 200 genes. To grow, a virus must develop an intimate relationship with a living cell. After docking with receptors at the cell surface the virus enters the cell, releases its genome, and thereby sets in motion processes that ultimately divert resources of the cell toward the mass production of virus proteins and virus genomes. Self-assembly of these parts give rise to progeny viruses that, following release, may encounter and infect other susceptible cells. Despite the small size and relative simplicity of virus genomes, the network of molecular transformations that define virus growth within the cell remain complex. Thus it is a major challenge to predict how engineered differences, natural mutations, virus-targeted drugs or cell differences can influence how viruses grow.

Integration of diverse information. We address the complexity of virus growth by casting the molecular interactions in the mathematical and computable language of chemical reaction engineering, a process that enables us to weave together mechanisms and data drawn from biochemical, biophysical and genetic studies spanning the last 40 years. Through our model building we integrate themes of molecular synthesis and decay, template-directed information transfers, physical interactions and regulatory feedbacks, and macro-molecular assembly. Our models provide a functional link between static genomes of viruses and the dynamic processes of infection that they encode.

Nature versus nurture. Our genome-to-organism models of virus growth have opened the door to better understanding how interactions between virus genomes and their intracellular environments influence virus development. Specifically, we have shown that protein synthesis is the limiting resource for virus growth, quantified how interactions among genes contribute to virus fitness and robustness, and identified conditions under which wild-type genome designs perform optimally. On the applications side we have used these models to suggest novel anti-viral strategies that resist escape.

Challenging paradigms and taking risks. The modus operandi in biology employs average measures of molecular levels to elucidate mechanisms. However, in the study of viruses, where genetic variability can be rampant, such average measures can mask variations that are likely to be central to viral growth and persistence. We are beginning to address such issues by probing virus growth and host-cell responses at the single-cell level, using flow cytometry to sort and analyze single infected cells, computer modeling to test potential mechanisms, and novel experimental methods to visualize and quantify the dynamics of virus populations from single infected cells. In the process we are identifying and illuminating new themes and variations as the smallest genomes come to life.

Department

Chemical & Biological Engineering

Contact

3633, Engineering Hall
1415 Engineering Dr
Madison, WI

  • PhD 1988, Univ. of California-Berkeley
  • BS 1983, Columbia University
  • BA 1982, Columbia College

  • systems biology - virus-host interactions
  • systems chemistry - molecular replicators

Affiliated Departments

  • 2015 University of Wisconsin-Madison, Vilas Distinguished Achievement Professorship
  • 2010 NIH , NIH Study Section Member, Modeling & Analysis of Biological Systems
  • 2009 University of Wisconsin-Madison, Wisconsin Institute for Discovery (WID) Award
  • 1998 University of Wisconsin-Madison, Cargill Faculty Fellow
  • 1996 National Science Foundation, Presidential Early Career Award for Science and Engineering (PECASE)
  • 1994 National Science Foundation, Young Investigator Award
  • 1990 Max Planck Society, Germany, Research Fellowship
  • 1988 Alexander von Humboldt Foundation, Germany, Research Fellowship
  • 1987 University of California, Berkeley, Patent Fund Award, Chancellor

  • Schwab, B., & Yin, J. (2024). Computational multigene interactions in virus growth and infection spread. Virus Evolution, 10(1) https://doi.org/10.1093/ve/vead082
  • Boigenzahn, H., Gagrani, P., & Yin, J. (2023). Enhancement of Prebiotic Peptide Formation in Cyclic Environments. Origins of Life and Evolution of Biospheres, 53(3-4), 157-173 https://doi.org/10.1007/s11084-023-09641-2
  • Boigenzahn, H., González, L. D., Thompson, J. C., Zavala, V. M., & Yin, J. (2023). Kinetic Modeling and Parameter Estimation of a Prebiotic Peptide Reaction Network. Journal of Molecular Evolution, 91(5), 730-744 https://doi.org/10.1007/s00239-023-10132-1
  • Boigenzahn, H., & Yin, J. (2022). Glycine to Oligoglycine via Sequential Trimetaphosphate Activation Steps in Drying Environments. Origins of Life and Evolution of Biospheres, 52(4), 249-261 https://doi.org/10.1007/s11084-022-09634-7
  • Crespi, E., Burnap, R., Chen, J., Das, M., Gassman, N., Rosa, E., Simmons, R., Wada, H., Wang, Z. Q., Xiao, J., Yang, B., Yin, J., & Goldstone, J. V. (2021). Resolving the Rules of Robustness and Resilience in Biology Across Scales. Integrative and Comparative Biology, 61(6), 2163-2179 https://doi.org/10.1093/icb/icab183
  • Shi, H., & Yin, J. (2021). Kinetics of Asian and African Zika virus lineages over single-cycle and multi-cycle growth in culture: Gene expression, cell killing, virus production, and mathematical modeling. Biotechnology and Bioengineering, 118(11), 4231-4245 https://doi.org/10.1002/bit.27892
  • Sibilska-Kaminski, I. K., & Yin, J. (2021). Toward Molecular Cooperation by De Novo Peptides. Origins of Life and Evolution of Biospheres, 51(1), 71-82 https://doi.org/10.1007/s11084-021-09603-6
  • Jin, T., & Yin, J. (2021). Patterns of virus growth across the diversity of life. Integrative Biology, 13(2), 44-59 https://doi.org/10.1093/intbio/zyab001

  • CBE 470 - Process Dynamics and Control (Spring 2025)
  • CBE 599 - Special Problems (Spring 2025)
  • CBE 890 - Pre-Dissertator's Research (Spring 2025)
  • CBE 990 - Thesis-Research (Spring 2025)
  • CBE 562 - Special Topics in Chemical Engineering (Fall 2024)
  • CBE 599 - Special Problems (Fall 2024)
  • CBE 781 - Biological Engineering: Molecules, Cells & Systems (Fall 2024)
  • CBE 890 - Pre-Dissertator's Research (Fall 2024)
  • CBE 961 - Seminar-Chemical Engineering (Fall 2024)
  • CBE 990 - Thesis-Research (Fall 2024)
  • CBE 890 - Pre-Dissertator's Research (Summer 2024)
  • CBE 990 - Thesis-Research (Summer 2024)
  • CBE 320 - Introductory Transport Phenomena (Spring 2024)
  • CBE 599 - Special Problems (Spring 2024)
  • CBE 699 - Advanced Independent Studies (Spring 2024)
  • CBE 890 - Pre-Dissertator's Research (Spring 2024)
  • CBE 990 - Thesis-Research (Spring 2024)
  • CBE 470 - Process Dynamics and Control (Fall 2023)
  • CBE 599 - Special Problems (Fall 2023)
  • CBE 990 - Thesis-Research (Fall 2023)
  • CBE 990 - Thesis-Research (Summer 2023)