Additional file 1: of Quantitative analyses of the hepatic proteome of methylmercury-exposed Atlantic cod (Gadus morhua) suggest oxidative stress-mediated effects on cellular energy metabolism

• Main Authors: Fekadu Yadetie, Bjørneklett, Silje, Garberg, Hilde, Oveland, Eystein, Berven, Frode, Goksøyr, Anders, Karlsen, Odd
• Format: Report
• Language: unknown
• Published: Figshare 2016
• Subjects: Biochemistry; Genetics; FOS Biological sciences; Physiology; 39999 Chemical Sciences not elsewhere classified; FOS Chemical sciences; 69999 Biological Sciences not elsewhere classified; Inorganic Chemistry; Venn; atlantic cod; Gadus morhua
• Online Access: https://dx.doi.org/10.6084/m9.figshare.c.3645989_d3.v1; https://springernature.figshare.com/articles/journal_contribution/Additional_file_1_of_Quantitative_analyses_of_the_hepatic_proteome_of_methylmercury-exposed_Atlantic_cod_Gadus_morhua_suggest_oxidative_stress-mediated_effects_on_cellular_energy_metabolism/4473806/1

Figure S1. Body weight (A), condition factor (B) and liver-somatic index (C) in control (Ctr), 0.5 mg/kg BW MeHg (0.5 mg) and 2 mg/kg BW MeHg (2 mg) treated Atlantic cod; Figure S2. Histograms illustrating the label-free quantification data. Average abundance of each group minus respective median values was log2 -transformed and plotted for the control (black line), 0.5 mg/kg BW MeHg (red line) and 2 mg/kg BW MeHg (green line) group (Graph Pad Prism using auto bin range and width); Figure S3. SRM-quantification of differential expression for the proteins APOA4, represented by three peptides (A-C), and CATZ (D); Figure S4 - STRING protein-protein interaction network of differentially regulated proteins; Figure S5. Venn diagram showing shared annotations between proteomics and transcriptomics datasets; Figure S6. Networks of combined differentially regulated genes identified in transcriptomics and proteomics analyses in MeHg treated samples; Figure S7. Venn diagram showing shared annotations among liver proteomics, liver transcriptomics and brain proteomics datasets. (DOCX 11788 kb)