Lingling An

Lingling An

Associate Professor, Agricultural-Biosystems Engineering
Associate Professor, BIO5 Institute
Associate Professor, Public Health
Associate Professor, Statistics-GIDP
Primary Department
Contact
(520) 621-1248

Research Interest

Research Interest

Lingling An, PhD, conducts research in the interdisciplinary boundaries of many fields such as statistical sciences, biological and medical sciences, genomics and genetics. Her statistical group's major research interests include development and application of statistical and computational methods for analysis of high-dimensional genomic/genetic, metagenomic/ metatranscriptomic, and epigenomic data. The overlying vision is to develop rigorous, timely and useful statistical and computational methodologies to help biologists/geneticists to ask, answer, and disseminate biologically interesting information in the quest to understand the ultimate function of DNA and gene network.

Publications

Pookhao, N., Sohn, M., Jenkins, I., Du, R., Jiang, H., & An, L. (2014). A two-stage statistical procedure for feature selection and comparison in functional analysis of metagenomes. Bioinformatics.
Zhang, Y., Kacira, M., & An, L. (2016). A CFD study on improving air flow uniformity in indoor plant factory system. Biosystems Engineering, 147, 193-205.
Hernandez, E., Giacomelli, G., Lewis, M., & An, L. (2017). Evaluation of season, cultivar, and aeration on biomass production of greenhouse hydroponic lettuce. ISHS Acta Horticulturae. doi:10.17660/ActaHortic.2017.1170.77
Drewry, J., Choi, C., An, L., & Gharagozloo, P. (2015). A COMPUTATIONAL FLUID DYNAMICS MODEL OF ALGAL GROWTH: DEVELOPMENT AND VALIDATION. Transactions of ASABE.
Kadiyala, V., Patrick, N. M., Mathieu, W., Jaime-Frias, R., Pookhao, N., Lingling, A. n., & Smith, C. L. (2013). Class i lysine deacetylases facilitate glucocorticoid-induced transcription. Journal of Biological Chemistry, 288(40), 28900-28912.

PMID: 23946490;PMCID: PMC3789985;Abstract:

Background:KDACis impair GR transactivation of the MMTV promoter, but their impact on cellular target genes is unknown. Results:KDACi or KDAC depletion suppresses transactivation of about 50% of GR target genes. Conclusion:KDAC1 is required for efficient GR transactivation in a gene-selective fashion. Significance:Because KDACs facilitate GR transactivation, clinical KDACi use may have a major impact on GR signaling. © 2013 by The American Society for Biochemistry and Molecular Biology, Inc.