Author Title [ Type(Asc)] Year
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Report
D. Rohlman, Attridge, S., O'Malley, K., and Anderson, K. A., “Composition of Wildfire Smoke and Health Risks”, Oregon Climate Change Research Institute, 2023.
Journal Article
C. Roper, Perez, A., Barrett, D., Hystad, P., Simonich, S. L. Massey, and Tanguay, R. L., “Workflow for Comparison of Chemical and Biological Metrics of Filter Collected PM.”, Atmos Environ (1994), vol. 226, 2020.
C. C. Ghetu, Rohlman, D., Smith, B. W., Scott, R. P., Adams, K. A., Hoffman, P. D., and Anderson, K. A., “Wildfire Impact on Indoor and Outdoor PAH Air Quality.”, Environ Sci Technol, 2022.
B. Head, Ramsey, S. A., Kioussi, C., Tanguay, R. L., and Traber, M. G., “Vitamin E Deficiency Disrupts Gene Expression Networks during Zebrafish Development.”, Nutrients, vol. 13, no. 2, 2021.
P. Thunga, Truong, L., Rericha, Y., La Du, J., Morshead, M., Tanguay, R. L., and Reif, D. M., “Utilizing a Population-Genetic Framework to Test for Gene-Environment Interactions between Zebrafish Behavior and Chemical Exposure.”, Toxics, vol. 10, no. 12, 2022.
P. Thunga, Truong, L., Rericha, Y., La Du, J., Morshead, M., Tanguay, R. L., and Reif, D. M., “Utilizing a Population-Genetic Framework to Test for Gene-Environment Interactions between Zebrafish Behavior and Chemical Exposure.”, Toxics, vol. 10, no. 12, 2022.
D. J. Wallis, Truong, L., La Du, J., Tanguay, R. L., and Reif, D. M., “Uncovering Evidence for Endocrine-Disrupting Chemicals That Elicit Differential Susceptibility through Gene-Environment Interactions.”, Toxics, vol. 9, no. 4, 2021.
L. Truong, Rericha, Y., Thunga, P., Marvel, S., Wallis, D., Simonich, M. T., Field, J. A., Cao, D., Reif, D. M., and Tanguay, R. L., “Systematic developmental toxicity assessment of a structurally diverse library of PFAS in zebrafish.”, J Hazard Mater, vol. 431, p. 128615, 2022.
L. Truong, Rericha, Y., Thunga, P., Marvel, S., Wallis, D., Simonich, M. T., Field, J. A., Cao, D., Reif, D. M., and Tanguay, R. L., “Systematic developmental toxicity assessment of a structurally diverse library of PFAS in zebrafish.”, J Hazard Mater, vol. 431, p. 128615, 2022.
Y. Rericha, Cao, D., Truong, L., Simonich, M. T., Field, J. A., and Tanguay, R. L., “Sulfonamide functional head on short-chain perfluorinated substance drives developmental toxicity.”, iScience, vol. 25, no. 2, p. 103789, 2022.
Y. Rericha, Simonich, M., Truong, L., and Tanguay, R. L., “Review of the Zebrafish as a Model to Investigate per- and Polyfluoroalkyl Substance Toxicity.”, Toxicol Sci, 2023.
A. J. Green, Truong, L., Thunga, P., Leong, C., Hancock, M., Tanguay, R. L., and Reif, D. M., “Preprint: Deep autoencoder-based behavioral pattern recognition outperforms standard statistical methods in high-dimensional zebrafish studies.”, bioRxiv, 2023.
S. M. McLarnan, Bramer, L. M., Dixon, H. M., Scott, R. P., Calero, L., Holmes, D., Gibson, E. A., Cavalier, H. M., Rohlman, D., Miller, R. L., Kincl, L., Waters, K. M., Anderson, K. A., and Herbstman, J. B., “Predicting personal PAH exposure using high dimensional questionnaire and wristband data.”, J Expo Sci Environ Epidemiol, 2024.
L. M. Bramer, Dixon, H. M., Rohlman, D., Scott, R. P., Miller, R. L., Kincl, L., Herbstman, J. B., Waters, K. M., and Anderson, K. A., “PM Is Insufficient to Explain Personal PAH Exposure.”, Geohealth, vol. 8, no. 2, p. e2023GH000937, 2024.
R. M. Keller, Beaver, L. M., Reardon, P. N., Prater, M. C., Truong, L., Robinson, M. M., Tanguay, R. L., Stevens, J. F., and Hord, N. G., “Nitrate-induced improvements in exercise performance are coincident with exuberant changes in metabolic genes and the metabolome in zebrafish () skeletal muscle.”, J Appl Physiol (1985), vol. 131, no. 1, pp. 142-157, 2021.
R. M. Keller, Beaver, L. M., Reardon, P. N., Prater, M. C., Truong, L., Robinson, M. M., Tanguay, R. L., Stevens, J. F., and Hord, N. G., “Nitrate-induced improvements in exercise performance are coincident with exuberant changes in metabolic genes and the metabolome in zebrafish () skeletal muscle.”, J Appl Physiol (1985), vol. 131, no. 1, pp. 142-157, 2021.
E. Riudor, “Neonatal onset in fatty acid oxidation disorders: how can we minimize morbidity and mortality?”, J Inherit Metab Dis, vol. 21, no. 6, pp. 619-23, 1998.
L. Truong, Marvel, S., Reif, D. M., Thomas, D. G., Pande, P., Dasgupta, S., Simonich, M. T., Waters, K. M., and Tanguay, R. L., “The multi-dimensional embryonic zebrafish platform predicts flame retardant bioactivity.”, Reprod Toxicol, vol. 96, pp. 359-369, 2020.
V. C. Colvin, Bramer, L. M., Rivera, B. N., Pennington, J. M., Waters, K. M., and Tilton, S. C., “Modeling PAH Mixture Interactions in a Human In Vitro Organotypic Respiratory Model.”, Int J Mol Sci, vol. 25, no. 8, 2024.
B. N. Rivera, Ghetu, C. C., Chang, Y., Truong, L., Tanguay, R. L., Anderson, K. A., and Tilton, S. C., “Leveraging Multiple Data Streams for Prioritization of Mixtures for Hazard Characterization.”, Toxics, vol. 10, no. 11, 2022.
A. J. Green, Mohlenkamp, M. J., Das, J., Chaudhari, M., Truong, L., Tanguay, R. L., and Reif, D. M., “Leveraging high-throughput screening data, deep neural networks, and conditional generative adversarial networks to advance predictive toxicology.”, PLoS Comput Biol, vol. 17, no. 7, p. e1009135, 2021.
D. J. Wallis, La Du, J., Thunga, P., Elson, D., Truong, L., Kolluri, S. K., Tanguay, R. L., and Reif, D. M., “Leveraging a High-Throughput Screening Method to Identify Mechanisms of Individual Susceptibility Differences in a Genetically Diverse Zebrafish Model.”, Front Toxicol, vol. 4, p. 846221, 2022.
M. E. Romano, Gallagher, L., Doherty, B. T., Yeum, D., Lee, S., Takazawa, M., Anderson, K. A., Kannan, K., and Karagas, M. R., “Inter-method reliability of silicone exposome wristbands and urinary biomarker assays in a pregnancy cohort.”, Environ Res, vol. 214, no. Pt 3, p. 113981, 2022.
S. M. Samon, Barton, M., Anderson, K., Oluyomi, A., Bondy, M., Armstrong, G., and Rohlman, D., “Integrating participant feedback and concerns to improve community and individual level chemical exposure assessment reports.”, BMC Public Health, vol. 23, no. 1, p. 1732, 2023.
J. A. Bouranis, Ren, Y., Beaver, L. M., Choi, J., Wong, C. P., He, L., Traber, M. G., Kelly, J., Booth, S. L., Stevens, J. F., Fern, X. Z., and Ho, E., “Identification of biological signatures of cruciferous vegetable consumption utilizing machine learning-based global untargeted stable isotope traced metabolomics.”, Front Nutr, vol. 11, p. 1390223, 2024.

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