Jeremy Prokop, Ph.D.

  • Neuropharmacology Faculty
Assistant Professor
Department of Pediatrics and Human Development
Secchia Center, 7th floor
15 Michigan St. NE
Grand Rapids, MI 49503 (Primary)
Department of Pharmacology & Toxicology
Life Science Building, B440
1355 Bogue St
East Lansing, MI 48824 (Secondary)
Phone: 517-355-3308
Email: Prokopje@msu.edu
 

The Prokop Lab

The Prokop lab focuses on integrative biosciences for understanding genes and genetic variants, utilizing computational tools to generate testable hypotheses for genomic variants (coding and noncoding) and protein function that are then used to guide wet lab experiments into disease mechanisms and pharmacological intervention. The Prokop lab’s NIH Big Data to Knowledge funded computational tools (BD2K- K01ES025435) focus on deep evolutionary analysis of codon usage combined with protein modeling and molecular dynamic simulations to study the role of genetic variants from whole genome sequencing and GWAS linkage disequilibrium blocks. Variants/proteins are then studied in the lab using a combination of protein biophysics, cell culture (including primary cells and induced pluripotent stem cells), gene regulation, and genomic technologies. The combination of genetic mechanisms for both common and rare disease genetics for a broad spectrum of disorders allows for a more global view of transcriptional regulation involved in disease, gene evolution, disease intersections, a more robust model of genotype-to-phenotype predictions, and hopefully a more patient based treatment strategy. These tools have been successfully applied to genomic insights for chronic kidney disease (PMID: 29476007), mesothelioma (PMID: 29284740), obesity (PMID: 29193816), neurological diseases (PMID: 27830187), cancer metastasis (PMID: 25762439), and genetics of sex differences (PMID: 26848384) to name a few. Additionally, the Prokop lab is interested in the development of educational tools that can be applied to clinical genomics and the creation of research opportunities for students at universities and colleges classically disadvantaged for research experience through the use of cloud based bioinformatics and databasing.

Educational Background

  • 2008- B.S. Animal Physiology(1) & Microbiology(2) University of Akron
  • 2013- Ph.D. Integrated Bioscience, University of Akron
  • 2013-2015- Postdoctoral Fellowship. Molecular Genetics, Medical College of Wisconsin
  • 2015-2018- Senior Scientist. Molecular Genetics, HudsonAlpha Institute for Biotechnology

Selected Grants

  • Cloud Compute, National Institutes of Health, Cloud Commons Model Pilot
  • k01, National Institutes of Health, Big Data to Knowledge (BD2K)
  • Predoctoral Fellowship, American Heart Association

Selected Peer-Reviewed Publications

  • Journal of the American Society of Nephrology. In Press (2018). PMID: 29476007
  • Cancer Research. 78(5):1200-1213 (2018). PMID: 29284740
  • Journal of Molecular Modeling. 23: 75 (2017). PMID 28204942
  • Biology of Sex Differences, 7:10 (2016). PMID: 26848384
  • Physiological Genomics, 47(11):525-537 (2015). PMID: 26286457
  • PLOS One, 9:e92751 (2014). PMID: 24663438
  • Clinical Science, 126(10):727-738 (2014). PMID: 24128372
  • BMC Genomics, 14:792 (2013). PMID: 24228692
  • Peptides, 38(2):326-36 (2012). PMID: 23085324
  • BMC Bioinformatics, 13 (Suppl 2):S3 (2012). PMID: 22536866

Awards & Honors

  • American Physiological Society (APS), Physiological Genomics New Investigator Award
  • Who's Who Among College and University Students