title: Machine learning reveals sex-specific 17β-estradiol-responsive expression patterns in white perch (Morone americana) plasma proteins.
abstract: With growing abundance and awareness of endocrine disrupting compounds (EDCs) in the environment, there is a need for accurate and reliable detection of EDC exposure. Our objective in the present study was to observe differences within and between the global plasma proteomes of sexually mature male and female white perch (Morone americana) before (Initial Control, IC) and after 17β-estradiol (E2 ) induction. Semiquantitative nanoLC-MS/MS data were analyzed by machine learning support vector machines (SVMs) and by two-way ANOVA. By ANOVA, the expression levels of 44, 77, and 57 proteins varied significantly by gender, treatment, and the interaction of gender and treatment, respectively. SVMs perfectly classified male and female perch IC and E2 -induced plasma samples using the protein expression data. E2 -induced male and female perch plasma proteomes contained significantly higher levels of the yolk precursors vitellogenin Aa and Ab (VtgAa, VtgAb), as well as latrophilin and seven transmembrane domain-containing protein 1 (Eltd1) and kininogen 1 (Kng1). This is the first report that Eltd1 and Kng1 may be E2 -responsive proteins in fishes and therefore may be useful indicators of estrogen induction.
authors.affiliation: Department of Applied Ecology, North Carolina State University, Raleigh, NC, USA.
authors.forename: Justin
authors.initials: J
authors.lastname: Schilling
authors.affiliation: W. M. Keck FTMS Laboratory for Human Health Research, Department of Chemistry, North Carolina State University, Raleigh, NC, USA.
authors.forename: Angelito I
authors.initials: AI
authors.lastname: Nepomuceno
authors.affiliation: Department of Biological Sciences, North Carolina State University, Raleigh, NC, USA.|Center for Human Health and the Environment, North Carolina State University, Raleigh, NC, USA.
authors.forename: Antonio
authors.initials: A
authors.lastname: Planchart
authors.affiliation: Center for Human Health and the Environment, North Carolina State University, Raleigh, NC, USA.|Department of Molecular Biomedical Sciences, North Carolina State University, Raleigh, NC, USA.|Center for Comparative Medicine and Translational Research, North Carolina State University, Raleigh, NC, USA.
authors.forename: Jeffrey A
authors.initials: JA
authors.lastname: Yoder
authors.affiliation: Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, USA.
authors.forename: Robert M
authors.initials: RM
authors.lastname: Kelly
authors.affiliation: W. M. Keck FTMS Laboratory for Human Health Research, Department of Chemistry, North Carolina State University, Raleigh, NC, USA.|Center for Comparative Medicine and Translational Research, North Carolina State University, Raleigh, NC, USA.
authors.forename: David C
authors.initials: DC
authors.lastname: Muddiman
authors.affiliation: Department of Applied Ecology, North Carolina State University, Raleigh, NC, USA.
authors.forename: Harry V
authors.initials: HV
authors.lastname: Daniels
authors.affiliation: Faculty of Fisheries Sciences, Hokkaido University, Hakodate, Hokkaido, Japan.
authors.forename: Naoshi
authors.initials: N
authors.lastname: Hiramatsu
authors.affiliation: Department of Applied Ecology, North Carolina State University, Raleigh, NC, USA.
authors.forename: Benjamin J
authors.initials: BJ
authors.lastname: Reading
mesh_terms: D000818:Animals; D001492:Bass / Q000378:metabolism*; D001798:Blood Proteins / Q000378:metabolism*; D015153:Blotting, Western; D002853:Chromatography, Liquid; D004958:Estradiol / Q000494:pharmacology*; D004967:Estrogens / Q000494:pharmacology; D005260:Female; D029941:Fish Proteins / Q000378:metabolism*; D007704:Kininogens / Q000378:metabolism; D008297:Male; D036103:Nanotechnology / Q000379:methods; D020543:Proteome / Q000187:drug effects / Q000378:metabolism*; D040901:Proteomics / Q000379:methods; D012737:Sex Factors; D060388:Support Vector Machine; D053719:Tandem Mass Spectrometry; D014819:Vitellogenins / Q000378:metabolism
chemical_list: D001798:Blood Proteins; D004967:Estrogens; D029941:Fish Proteins; D007704:Kininogens; D020543:Proteome; D014819:Vitellogenins; D004958:Estradiol
keywords: Animal proteomics; Endocrine disrupting compounds; Machine learning; Plasma; Semiquantitative proteomics; Support vector machines