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PUBMED FOR HANDHELDS

Journal Abstract Search

863 related items for PubMed ID: 28340555

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  • 7. Transcriptome analyses reveal reduced hepatic lipid synthesis and accumulation in more feed efficient beef cattle.
    Mukiibi R, Vinsky M, Keogh KA, Fitzsimmons C, Stothard P, Waters SM, Li C.
    Sci Rep; 2018 May 08; 8(1):7303. PubMed ID: 29740082
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  • 9. Global liver gene expression differences in Nelore steers with divergent residual feed intake phenotypes.
    Tizioto PC, Coutinho LL, Decker JE, Schnabel RD, Rosa KO, Oliveira PS, Souza MM, Mourão GB, Tullio RR, Chaves AS, Lanna DP, Zerlotini-Neto A, Mudadu MA, Taylor JF, Regitano LC.
    BMC Genomics; 2015 Mar 25; 16(1):242. PubMed ID: 25887532
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  • 10. Unveiling the Genetic Landscape of Feed Efficiency in Holstein Dairy Cows: Insights into Heritability, Genetic Markers, and Pathways via Meta-Analysis.
    Jiang W, Mooney MH, Shirali M.
    J Anim Sci; 2024 Jan 03; 102():. PubMed ID: 38354297
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  • 11. A transcriptome multi-tissue analysis identifies biological pathways and genes associated with variations in feed efficiency of growing pigs.
    Gondret F, Vincent A, Houée-Bigot M, Siegel A, Lagarrigue S, Causeur D, Gilbert H, Louveau I.
    BMC Genomics; 2017 Mar 21; 18(1):244. PubMed ID: 28327084
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  • 12. Combination analysis of genome-wide association and transcriptome sequencing of residual feed intake in quality chickens.
    Xu Z, Ji C, Zhang Y, Zhang Z, Nie Q, Xu J, Zhang D, Zhang X.
    BMC Genomics; 2016 Aug 09; 17():594. PubMed ID: 27506765
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  • 14. Whole blood transcriptional profiling comparison between different milk yield of Chinese Holstein cows using RNA-seq data.
    Bai X, Zheng Z, Liu B, Ji X, Bai Y, Zhang W.
    BMC Genomics; 2016 Aug 22; 17 Suppl 7(Suppl 7):512. PubMed ID: 27557137
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  • 16. Prepartum body condition score and plane of nutrition affect the hepatic transcriptome during the transition period in grazing dairy cows.
    Vailati-Riboni M, Meier S, Burke CR, Kay JK, Mitchell MD, Walker CG, Crookenden MA, Heiser A, Rodriguez-Zas SL, Roche JR, Loor JJ.
    BMC Genomics; 2016 Nov 02; 17(1):854. PubMed ID: 27806685
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  • 18. Global gene expression profiling reveals genes expressed differentially in cattle with high and low residual feed intake.
    Chen Y, Gondro C, Quinn K, Herd RM, Parnell PF, Vanselow B.
    Anim Genet; 2011 Oct 02; 42(5):475-90. PubMed ID: 21906099
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  • 20. In-Depth Duodenal Transcriptome Survey in Chickens with Divergent Feed Efficiency Using RNA-Seq.
    Yi G, Yuan J, Bi H, Yan W, Yang N, Qu L.
    PLoS One; 2015 Oct 02; 10(9):e0136765. PubMed ID: 26418546
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