Carrie L. Moland

TL;DR: The current study provides the most structurally diverse ER RBA data set with the widest range of RBA values published to date.

TL;DR: An overall picture of how xenoestrogens structurally resemble endogenous 17beta-estradiol and the synthetic estrogen diethylstilbestrol is provided, which is rationalized into a set of hierarchical rules that will be useful in guidance for identification of potential estrogens.

TL;DR: The present study developed a low cost recombinant androgen receptor (AR) competitive binding assay that uses no animals and examines the general structural requirements for chemical binding to AR through a careful structure-activity relationship (SAR) examination.

TL;DR: If used in conjunction with phases I and II, which reduced the size of the data set dramatically by eliminating most inactive chemicals, the current CoMFA model can be used to predict the RBA of chemicals with sufficient accuracy and to provide quantitative information for priority setting.

TL;DR: A comprehensive rat transcriptomic BodyMap is created by performing RNA-Seq on 320 samples from 11 organs of both sexes of juvenile, adolescent, adult and aged Fischer 344 rats, finding that organ-enriched, differentially expressed genes reflect the known organ-specific biological activities.