Eric H Lyons

Eric H Lyons

Associate Professor, Plant Science
Associate Professor, Agricultural-Biosystems Engineering
Advisor, CALS' Office of the Assoc Dean - Research for Cyber Initiatives in Agricultural / Life - Vet Science
Associate Professor, Genetics - GIDP
Associate Professor, BIO5 Institute
Primary Department
Department Affiliations
Contact
(520) 626-5070

Research Interest

Eric Lyons, PhD is an assistant professor at the University of Arizona School of Plant Sciences. Dr. Lyons is internationally known for his work in understanding the evolution, structure, and dynamics of genomes. Core to his research activities is the development of software systems for managing and analyzing genomic data and cyberinfrastructure for the life sciences.Dr. Lyons has published over 30 original research papers and 5 book chapters, many in collaboration with investigators from around the world. He is a frequent presenter at national and international meetings, and has been invited to teach workshops on the analysis of genomic data to plant, vertebrate, invertebrate, microbe, and health researchers.Prior to joining the faculty in the School of Plant Sciences, Dr. Lyons worked with the iPlant Collaborative developing cyberinfrastructure, and managing its scientific activities. In addition, he spent five years working in industry at biotech, pharmaceutical, and software companies. Dr. Lyons’ core software system for managing and analyzing genomic data is called CoGe, and is available for use at http://genomevolution.org

Publications

Joyce, B. L., Haug-Baltzell, A., Davey, S., Bomhoff, M., Schnable, J. C., & Lyons, E. (2017). FractBias: A graphical tool for assessing fractionation bias following polyploidy. Bioinformatics, 33(4), 552--554.
Leung, S., Holbrook, A., King, B., Lu, H., Evans, V., Miyamoto, N., Mallari, C., Harvey, S., Davey, D., Elena, H. o., Li, W., Parkinson, J., Horuk, R., Jaroch, S., Berger, M., Skuballa, W., West, C., Pulk, R., Phillips, G., , Bryant, J., et al. (2005). Differential inhibition of inducible T cell cytokine secretion by potent iron chelators. Journal of Biomolecular Screening, 10(2), 157-167.

PMID: 15799959;Abstract:

Effector functions and proliferation of T helper (Th) cells are influenced by cytokines in the environment. Th1 cells respond to a synergistic effect of interleukin-12 (IL-12) and interleukin-18 (IL-18) to secrete interferon-gamma (IFN-γ). In contrast, Th2 cells respond to interleukin-4 (IL-4) to secrete IL-4, interleukin-13 (IL-13), interleukin-5 (IL-5), and interleukin-10 (IL-10). The authors were interested in identifying nonpeptide inhibitors of the Th1 response selective for the IL-12/IL-18-mediated secretion of IFN-γ while leaving the IL-4-mediated Th2 cytokine secretion relatively intact. The authors established a screening protocol using human peripheral blood mononuclear cells (PBMCs) and identified the hydrazino anthranilate compound 1 as a potent inhibitor of IL-12/IL-18-mediated IFN-γ secretion from CD3′ cells with an IC50 around 200 nM. The inhibitor was specific because it had virtually no effect on IL-4-mediated IL-13 release from the same population of cells. Further work established that compound 1 was a potent intracellular iron chelator that inhibited both IL-12/IL-18- and IL-4-mediated T cell proliferation. Iron chelation affects multiple cellular pathways in T cells. Thus, the IL-12/IL-18-mediated proliferation and IFN-γ secretion are very sensitive to intracellular iron concentration. However, the IL-4-mediated IL-13 secretion does not correlate with proliferation and is partially resistant to potent iron chelation. © 2005 The Society for Biomolecular Screening.

Joyce, B., Baltzell, A., McCarthy, F., Bomhoff, M., & Lyons, E. (2017). iAnimal: Cyberinfrastructure to Support Data-driven Science. Bioinformatics in Aquaculture: Principles and Methods, 527--545.
Freeling, M., Rapaka, L., Lyons, E., Pedersen, B., & Thomas, B. C. (2007). G-boxes, bigfoot genes, and environmental response: Characterization of intragenomic conserved noncoding sequences in Arabidopsis. Plant Cell, 19(5), 1441-1457.

PMID: 17496117;PMCID: PMC1913728;Abstract:

A tetraploidy left Arabidopsis thaliana with 6358 pairs of homoeologs that, when aligned, generated 14,944 intragenomic conserved noncoding sequences (CNSs). Our previous work assembled these phylogenetic footprints into a database. We show that known transcription factor (TF) binding motifs, including the G-box, are overrepresented in these CNSs. A total of 254 genes spanning long lengths of CNS-rich chromosomes (Bigfoot) dominate this database. Therefore, we made subdatabases: one containing Bigfoot genes and the other containing genes with three to five CNSs (Smallfoot). Bigfoot genes are generally TFs that respond to signals, with their modal CNS positioned 3.1 kb 5′ from the ATG. Smallfoot genes encode components of signal transduction machinery, the cytoskeleton, or involve transcription. We queried each subdatabase with each possible 7-nucleotide sequence. Among hundreds of hits, most were purified from CNSs, and almost all of those significantly enriched in CNSs had no experimental history. The 7-mers in CNSs are not 5′- to 3′-oriented in Bigfoot genes but are often oriented in Smallfoot genes. CNSs with one G-box tend to have two G-boxes. CNSs were shared with the homoeolog only and with no other gene, suggesting that binding site turnover impedes detection. Bigfoot genes may function in adaptation to environmental change. © 2007 American Society of Plant Biologists.

Grover, J. W., Bomhoff, M., Davey, S., Gregory, B. D., Mosher, R. A., & Lyons, E. (2017). CoGe LoadExp+: A web-based suite that integrates next-generation sequencing data analysis workflows and visualization. Plant Direct, 1(2).
BIO5 Collaborators
Eric H Lyons, Rebecca A Mosher