Literature DB >> 20483222

Analysis of Sus scrofa liver proteome and identification of proteins differentially expressed between genders, and conventional and genetically enhanced lines.

Serguei P Golovan1, Hatam A Hakimov, Chris P Verschoor, Sandra Walters, Moshe Gadish, Christine Elsik, Flavio Schenkel, David K Y Chiu, Cecil W Forsberg.   

Abstract

Porcine liver proteome iTRAQ analysis enabled the confident identification of 880 proteins with a rate of false positive identifications of less than 5%. Proteins involved in energy metabolism, catabolism, protein biosynthesis, electron transport, and other oxidoreductase reactions were highly enriched confirming the central role of liver as the major chemical and energy factory. Comparative analysis with human and mouse liver proteomes demonstrated that 80% of proteins were common to all three liver proteomes. In addition, it was also demonstrated that both sex of the animal and introduction of a novel phytase transgene into the genome each affected around 5% of total liver proteome. After controlling the false discovery rate (FDR</=0.1) using the Storey q value only four proteins (EPHX1, CAT, PAH, ST13) were shown to be differentially expressed between genders (Males/Females) and two proteins (SELENBP2, TAGLN) were differentially expressed between two lines (Transgenic/Conventional pigs). Current analysis is the largest proteome analysis for pig and complements the more extensive human and mouse proteome projects.

Entities:  

Year:  2008        PMID: 20483222     DOI: 10.1016/j.cbd.2008.05.001

Source DB:  PubMed          Journal:  Comp Biochem Physiol Part D Genomics Proteomics        ISSN: 1744-117X            Impact factor:   2.674


  3 in total

1.  Precision genetics for complex objectives in animal agriculture.

Authors:  S C Fahrenkrug; A Blake; D F Carlson; T Doran; A Van Eenennaam; D Faber; C Galli; Q Gao; P B Hackett; N Li; E A Maga; W M Muir; J D Murray; D Shi; R Stotish; E Sullivan; J F Taylor; M Walton; M Wheeler; B Whitelaw; B P Glenn
Journal:  J Anim Sci       Date:  2010-03-12       Impact factor: 3.159

2.  iTRAQ-based proteomic analysis reveals key proteins affecting muscle growth and lipid deposition in pigs.

Authors:  Zhixiu Wang; Peng Shang; Qinggang Li; Liyuan Wang; Yangzom Chamba; Bo Zhang; Hao Zhang; Changxin Wu
Journal:  Sci Rep       Date:  2017-04-24       Impact factor: 4.379

3.  A comparative analysis of label-free liquid chromatography-mass spectrometry liver proteomic profiles highlights metabolic differences between pig breeds.

Authors:  Samuele Bovo; Alessio Di Luca; Giuliano Galimberti; Stefania Dall'Olio; Luca Fontanesi
Journal:  PLoS One       Date:  2018-09-12       Impact factor: 3.240

  3 in total

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