Author Title Type [ Year(Desc)]
Filters: Author is Katrina M Waters  [Clear All Filters]
2017
Davie-Martin CL, Stratton KG, Teeguarden JG, Waters KM, Simonich SLMassey. Implications of Bioremediation of Polycyclic Aromatic Hydrocarbon-Contaminated Soils for Human Health and Cancer Risk. Environ Sci Technol. 2017 ;51(17):9458-9468.
2018
Dixon HM, Scott RP, Holmes D, Calero L, Kincl L, Waters KM, et al.. Silicone wristbands compared with traditional polycyclic aromatic hydrocarbon exposure assessment methods. Anal Bioanal Chem. 2018 ;410(13):3059-3071.
Haggard DE, Noyes PD, Waters KM, Tanguay RL. Transcriptomic and phenotypic profiling in developing zebrafish exposed to thyroid hormone receptor agonists. Reprod Toxicol. 2018 ;77:80-93.
2019
Brown J, Phillips AR, Lewis DA, Mans M-A, Chang Y, Tanguay RL, et al.. Bioinformatics Resource Manager: a systems biology web tool for microRNA and omics data integration. BMC Bioinformatics. 2019 ;20(1):255.
Shankar P, Geier MC, Truong L, McClure RS, Pande P, Waters KM, et al.. Coupling Genome-wide Transcriptomics and Developmental Toxicity Profiles in Zebrafish to Characterize Polycyclic Aromatic Hydrocarbon (PAH) Hazard. Int J Mol Sci. 2019 ;20(10).
Dixon HM, Armstrong G, Barton ML, Bergmann AJ, Bondy M, Halbleib ML, et al.. Discovery of common chemical exposures across three continents using silicone wristbands. R Soc Open Sci. 2019 ;6(2):181836.
Messier KP, Tidwell LG, Ghetu C, Rohlman D, Scott RP, Bramer LM, et al.. Indoor versus Outdoor Air Quality during Wildfires. Environ Sci Technol Lett. 2019 ;6(12):696-701.
Thomas DG, Shankaran H, Truong L, Tanguay RL, Waters KM. Time-dependent behavioral data from zebrafish reveals novel signatures of chemical toxicity using point of departure analysis. Comput Toxicol. 2019 ;9:50-60.
Madeen EP, Siddens LK, Uesugi S, McQuistan TJ, Corley RA, Smith JN, et al.. Toxicokinetics of benzo[a]pyrene in humans: Extensive metabolism as determined by UPLC-accelerator mass spectrometry following oral micro-dosing. Toxicol Appl Pharmacol. 2019 ;364:97-105.
2020
Truong L, Marvel S, Reif DM, Thomas DG, Pande P, Dasgupta S, et al.. The multi-dimensional embryonic zebrafish platform predicts flame retardant bioactivity. Reprod Toxicol. 2020 ;96:359-369.
2021
Mansouri K, Karmaus AL, Fitzpatrick J, Patlewicz G, Pradeep P, Alberga D, et al.. CATMoS: Collaborative Acute Toxicity Modeling Suite. Environ Health Perspect. 2021 ;129(4):47013.
Shankar P, McClure RS, Waters KM, Tanguay RL. Gene co-expression network analysis in zebrafish reveals chemical class specific modules. BMC Genomics. 2021 ;22(1):658.
2022
Shankar P, Garcia GR, La Du JK, Sullivan CM, Dunham CL, Goodale BC, et al.. The Ahr2-Dependent wfikkn1 Gene Influences Zebrafish Transcriptome, Proteome, and Behavior. Toxicol Sci. 2022 ;187(2):325-344.
Wilson LB, McClure RS, Waters KM, Simonich MT, Tanguay RL. Concentration-response gene expression analysis in zebrafish reveals phenotypically-anchored transcriptional responses to retene. Front Toxicol. 2022 ;4:950503.
Dixon HM, Bramer LM, Scott RP, Calero L, Holmes D, Gibson EA, et al.. Evaluating predictive relationships between wristbands and urine for assessment of personal PAH exposure. Environ Int. 2022 ;163:107226.
2023
McClure RS, Rericha Y, Waters KM, Tanguay RL. 3' RNA-seq is superior to standard RNA-seq in cases of sparse data but inferior at identifying toxicity pathways in a model organism. Front Bioinform. 2023 ;3:1234218.
Rude CI, Tidwell LG, Tilton SC, Waters KM, Anderson KA, Tanguay RL. Coupling Environmental Whole Mixture Toxicity Screening with Unbiased RNA-Seq Reveals Site-Specific Biological Responses in Zebrafish. Toxics. 2023 ;11(3).
Bramer LM, Dixon HM, Degnan D, Rohlman D, Herbstman JB, Anderson KA, et al.. Preprint: Expanding the access of wearable silicone wristbands in community-engaged research through best practices in data analysis and integration. bioRxiv. 2023 ;.
Gosline SJC, Kim DNam, Pande P, Thomas DG, Truong L, Hoffman PD, et al.. The Superfund Research Program Analytics Portal: linking environmental chemical exposure to biological phenotypes. Sci Data. 2023 ;10(1):151.

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