@article {101,
	title = {High Conservation in Transcriptomic and Proteomic Response of White Sturgeon to Equipotent Concentrations of 2,3,7,8-TCDD, PCB 77, and Benzo[a]pyrene.},
	journal = {Environ Sci Technol},
	volume = {50},
	year = {2016},
	month = {2016 05 03},
	pages = {4826-35},
	abstract = {<p>Adverse effects associated with exposure to dioxin-like compounds (DLCs) are mediated primarily through activation of the aryl hydrocarbon receptor (AHR). However, little is known about the cascades of events that link activation of the AHR to apical adverse effects. Therefore, this study used high-throughput, next-generation molecular tools to investigate similarities and differences in whole transcriptome and whole proteome responses to equipotent concentrations of three agonists of the AHR, 2,3,7,8-TCDD, PCB 77, and benzo[a]pyrene, in livers of a nonmodel fish, the white sturgeon (Acipenser transmontanus). A total of 926 and 658 unique transcripts were up- and down-regulated, respectively, by one or more of the three chemicals. Of the transcripts shared by responses to all three chemicals, 85\% of up-regulated transcripts and 75\% of down-regulated transcripts had the same magnitude of response. A total of 290 and 110 unique proteins were up- and down-regulated, respectively, by one or more of the three chemicals. Of the proteins shared by responses to all three chemicals, 70\% of up-regulated proteins and 48\% of down-regulated proteins had the same magnitude of response. Among treatments there was 68\% similarity between the global transcriptome and global proteome. Pathway analysis revealed that perturbed physiological processes were indistinguishable between equipotent concentrations of the three chemicals. The results of this study contribute toward more completely describing adverse outcome pathways associated with activation of the AHR.</p>},
	keywords = {Animals, Benzo(a)pyrene, Dioxins, Fishes, Polychlorinated Dibenzodioxins, Proteomics},
	issn = {1520-5851},
	doi = {10.1021/acs.est.6b00490},
	author = {Doering, Jon A and Tang, Song and Peng, Hui and Eisner, Bryanna K and Sun, Jianxian and Giesy, John P and Wiseman, Steve and Hecker, Markus}
}
@article {111,
	title = {Trophic transfer of dechloranes in the marine food web of Liaodong Bay, north China.},
	journal = {Environ Sci Technol},
	volume = {48},
	year = {2014},
	month = {2014 May 20},
	pages = {5458-66},
	abstract = {<p>Dechloranes are of particular concern because of their ubiquity in environmental matrices, but little is known about their trophic transfer in aquatic food web. This study investigated the trophic transfer of seven dechloranes in a marine food web from Liaodong Bay, China. Dechloranes were determined in sediments and 15 marine species including benthic invertebrates, fish and gulls collected from Liaodong Bay. Biomagnification factors (BMFTL) of dechloranes in black-headed gulls were calculated to be 6.4, 1.7, 0.45, 0.36, 0.14, and 0.11 for mirex, Dechlorane 602 (Dec 602), Dechlorane 603 (Dec 603), antiundecachloropentacyclooctadecadiene (anti-Cl11DP), syn-dechlorane plus (syn-DP), and anti-DP. Significantly positive relationships were found between lipid equivalent concentrations of mirex, Dec 602, and anti-Cl11DP and trophic levels, and the trophic magnification factors (TMFs) were 13, 3.7, and 5.6, respectively, indicating that these compounds undergo trophic magnification in the aquatic food web. Lipid equivalent concentrations of Dec 603 and DP isomers did not exhibit a statistically significant correlation with trophic levels. The relatively low trophic magnification potentials of Dec 603 and DP isomers were possibly due to their extreme hydrophobicity (logKOW: 11.2-11.3) and subsequent low bioavailabilities compared with mirex (7.0), Dec 602 (8.1) and anti-Cl11DP. The results provided important information for understanding the ecological risk of dechloranes.</p>},
	keywords = {Animals, Aquatic Organisms, Bays, Charadriiformes, China, Environmental Monitoring, Fishes, Food Chain, Geologic Sediments, Hydrocarbons, Chlorinated, Invertebrates, Ontario, Regression Analysis, Water Pollutants, Chemical},
	issn = {1520-5851},
	doi = {10.1021/es500229y},
	author = {Peng, Hui and Wan, Yi and Zhang, Kun and Sun, Jianxian and Hu, Jianying}
}
