@article{eytcheson_leblanc_2018, title={Hemoglobin Levels Modulate Nitrite Toxicity to Daphnia magna}, volume={8}, ISSN={2045-2322}, url={http://dx.doi.org/10.1038/s41598-018-24087-7}, DOI={10.1038/s41598-018-24087-7}, abstractNote={Abstract}, number={1}, journal={Scientific Reports}, publisher={Springer Science and Business Media LLC}, author={Eytcheson, Stephanie A. and LeBlanc, Gerald A.}, year={2018}, month={May} } @article{medlock kakaley_eytcheson_leblanc_2017, title={Ligand-Mediated Receptor Assembly as an End Point for High-Throughput Chemical Toxicity Screening}, volume={51}, ISSN={0013-936X 1520-5851}, url={http://dx.doi.org/10.1021/acs.est.7b02882}, DOI={10.1021/acs.est.7b02882}, abstractNote={The high throughput screening of chemicals for interaction with intracellular targets is gaining prominence in the toxicity evaluation of environmental chemicals. We describe ligand-mediated receptor assembly as an early event in receptor signaling and its application to the screening of chemicals for interaction with targeted receptors. We utilized bioluminescence resonance energy transfer (BRET) to detect and quantify assembly of the methyl farnesoate receptor (MfR) in response to various high-production volume and other chemicals. The hormone methyl farnesoate binds to the MfR to regulate various aspects of reproduction and development in crustaceans. The MfR protein subunits Met and SRC, cloned from Daphnia pulex, were fused to the fluorophore, mAmetrine and the photon generator, Rluc2, respectively. Ligand-mediated receptor assembly was measured by photon transfer from the photon donor to the fluorophore resulting in fluorescence emission. Overall, the BRET assay had comparable or greater sensitivity as compared to a traditional reporter gene assay. Further, chemicals that screened positive in the BRET assay also stimulated phenotypic outcomes in daphnids that result from MfR signaling. We concluded the BRET assay is an accurate, sensitive, and cost/time efficient alternative to traditional screening assays.}, number={16}, journal={Environmental Science & Technology}, publisher={American Chemical Society (ACS)}, author={Medlock Kakaley, Elizabeth K. and Eytcheson, Stephanie A. and LeBlanc, Gerald A.}, year={2017}, month={Jul}, pages={9327–9333} } @article{barata_campos_rivetti_leblanc_eytcheson_mcknight_tobor-kaplon_buitenweg_choi_choi_et al._2017, title={Validation of a two-generational reproduction test in Daphnia magna: an interlaboratory exercise}, volume={579}, journal={Science of the Total Environment}, author={Barata, C. and Campos, B. and Rivetti, C. and LeBlanc, G.A. and Eytcheson, S. and McKnight, S. and Tobor-Kaplon, M. and Buitenweg, S.D. and Choi, S. and Choi, J. and et al.}, year={2017}, pages={1073–1083} } @article{adoteye_banks_cross_eytcheson_flores_leblanc_nguyen_ross_smith_stemkovski_et al._2015, title={Statistical validation of structured population models for Daphnia magna}, volume={266}, ISSN={0025-5564}, url={http://dx.doi.org/10.1016/j.mbs.2015.06.003}, DOI={10.1016/j.mbs.2015.06.003}, abstractNote={In this study we use statistical validation techniques to verify density-dependent mechanisms hypothesized for populations of Daphnia magna. We develop structured population models that exemplify specific mechanisms and use multi-scale experimental data in order to test their importance. We show that fecundity and survival rates are affected by both time-varying density-independent factors, such as age, and density-dependent factors, such as competition. We perform uncertainty analysis and show that our parameters are estimated with a high degree of confidence. Furthermore, we perform a sensitivity analysis to understand how changes in fecundity and survival rates affect population size and age-structure.}, journal={Mathematical Biosciences}, publisher={Elsevier BV}, author={Adoteye, Kaska and Banks, H.T. and Cross, Karissa and Eytcheson, Stephanie and Flores, Kevin B. and LeBlanc, Gerald A. and Nguyen, Timothy and Ross, Chelsea and Smith, Emmaline and Stemkovski, Michael and et al.}, year={2015}, month={Aug}, pages={73–84} }