Bioinformatics - 2019

House, J. S., Hall, J., Park, S. S., Planchart, A., Money, E., Maguire, R. L., … Hoyo, C. (2019). Cadmium exposure and MEG3 methylation differences between Whites and African Americans in the NEST Cohort. Environmental Epigenetics, 5(3). https://doi.org/10.1093/eep/dvz014

Burnett, S. D., Blanchette, A. D., Grimm, F. A., House, J. S., Reif, D. M., Wright, F. A., … Rusyn, I. (2019). Population-based toxicity screening in human induced pluripotent stem cell-derived cardiomyocytes. Toxicology and Applied Pharmacology, 381. https://doi.org/10.1016/j.taap.2019.114711

Onel, M., Beykal, B., Ferguson, K., Chiu, W. A., McDonald, T. J., Zhou, L., … Pistikopoulos, E. N. (2019). Grouping of complex substances using analytical chemistry data: A framework for quantitative evaluation and visualization. PLOS ONE, 14(10). https://doi.org/10.1371/journal.pone.0223517

Chang, S.-M., Tsai, H.-J., Tzeng, J.-Y., Yeh, K.-W., Chen, L.-C., Lai, S.-H., … Yao, T.-C. (2019). Reference equations for spirometry in healthy Asian children aged 5 to 18 years in Taiwan. WORLD ALLERGY ORGANIZATION JOURNAL, 12(11). https://doi.org/10.1016/j.waojou.2019.100074

Roell, K. R., Havener, T. M., Reif, D. M., Jack, J., McLeod, H. L., Wiltshire, T., & Motsinger-Reif, A. A. (2019). Synergistic Chemotherapy Drug Response Is a Genetic Trait in Lymphoblastoid Cell Lines. FRONTIERS IN GENETICS, 10. https://doi.org/10.3389/fgene.2019.00829

Henriquez, A. R., House, J. S., Snow, S. J., Miller, C. N., Schladweiler, M. C., Fisher, A., … Kodavanti, U. P. (2019). Ozone-Induced Dysregulation of Neuroendocrine Axes Requires Adrenal-Derived Stress Hormones. TOXICOLOGICAL SCIENCES, 172(1), 38–50. https://doi.org/10.1093/toxsci/kfz182

Tam, H. W., Hall, J. R., Messenger, Z. J., Jima, D. D., House, J. S., Linder, K., & Smart, R. C. (2019). C/EBP beta suppresses keratinocyte autonomous type 1 IFN response and p53 to increase cell survival and susceptibility to UVB-induced skin cancer. CARCINOGENESIS, 40(9), 1099–1109. https://doi.org/10.1093/carcin/bgz012

Zhou, Y.-H., & Gallins, P. (2019). [Review of A Review and Tutorial of Machine Learning Methods for Microbiome Host Trait Prediction]. FRONTIERS IN GENETICS, 10. https://doi.org/10.3389/fgene.2019.00579

Sai, K., Parsons, C., House, J. S., Kathariou, S., & Ninomiya-Tsuji, J. (2019). Necroptosis mediators RIPK3 and MLKL suppress intracellular Listeria replication independently of host cell killing. JOURNAL OF CELL BIOLOGY, 218(6), 1994–2005. https://doi.org/10.1083/jcb.201810014

Grimm, F. A., House, J. S., Wilson, M. R., Sirenko, O., Iwata, Y., Wright, F. A., … Rusyn, I. (2019). Multi-dimensional in vitro bioactivity profiling for grouping of glycol ethers. REGULATORY TOXICOLOGY AND PHARMACOLOGY, 101, 91–102. https://doi.org/10.1016/j.yrtph.2018.11.011

Perez-Diaz, I. M., Hayes, J. S., Medina, E., Webber, A. M., Butz, N., Dickey, A. N., … Azcarate-Peril, M. A. (2019). Assessment of the non-lactic acid bacteria microbiota in fresh cucumbers and commercially fermented cucumber pickles brined with 6% NaCl. FOOD MICROBIOLOGY, 77, 10–20. https://doi.org/10.1016/j.fm.2018.08.003