These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
434 related articles for article (PubMed ID: 30384851)
1. RNA-seq of muscle from pigs divergent in feed efficiency and product quality identifies differences in immune response, growth, and macronutrient and connective tissue metabolism. Horodyska J; Wimmers K; Reyer H; Trakooljul N; Mullen AM; Lawlor PG; Hamill RM BMC Genomics; 2018 Nov; 19(1):791. PubMed ID: 30384851 [TBL] [Abstract][Full Text] [Related]
2. Analysis of meat quality traits and gene expression profiling of pigs divergent in residual feed intake. Horodyska J; Oster M; Reyer H; Mullen AM; Lawlor PG; Wimmers K; Hamill RM Meat Sci; 2018 Mar; 137():265-274. PubMed ID: 29247922 [TBL] [Abstract][Full Text] [Related]
3. 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; 18(1):244. PubMed ID: 28327084 [TBL] [Abstract][Full Text] [Related]
4. Transcriptome analysis of adipose tissue from pigs divergent in feed efficiency reveals alteration in gene networks related to adipose growth, lipid metabolism, extracellular matrix, and immune response. Horodyska J; Reyer H; Wimmers K; Trakooljul N; Lawlor PG; Hamill RM Mol Genet Genomics; 2019 Apr; 294(2):395-408. PubMed ID: 30483895 [TBL] [Abstract][Full Text] [Related]
5. RNA-Seq of Liver From Pigs Divergent in Feed Efficiency Highlights Shifts in Macronutrient Metabolism, Hepatic Growth and Immune Response. Horodyska J; Hamill RM; Reyer H; Trakooljul N; Lawlor PG; McCormack UM; Wimmers K Front Genet; 2019; 10():117. PubMed ID: 30838035 [TBL] [Abstract][Full Text] [Related]
6. Transcriptome Analysis of Skeletal Muscle in Pigs with Divergent Residual Feed Intake Phenotypes. Hou X; Pu L; Wang L; Liu X; Gao H; Yan H; Zhang J; Zhang Y; Yue J; Zhang L; Wang L DNA Cell Biol; 2020 Mar; 39(3):404-416. PubMed ID: 32004088 [TBL] [Abstract][Full Text] [Related]
7. Transcriptome analysis of mRNA and miRNA in skeletal muscle indicates an important network for differential Residual Feed Intake in pigs. Jing L; Hou Y; Wu H; Miao Y; Li X; Cao J; Brameld JM; Parr T; Zhao S Sci Rep; 2015 Jul; 5():11953. PubMed ID: 26150313 [TBL] [Abstract][Full Text] [Related]
8. Identification of differentially expressed genes in longissimus dorsi muscle between Wei and Yorkshire pigs using RNA sequencing. Xu J; Wang C; Jin E; Gu Y; Li S; Li Q Genes Genomics; 2018 Apr; 40(4):413-421. PubMed ID: 29892843 [TBL] [Abstract][Full Text] [Related]
9. Consequences of divergent selection for residual feed intake in pigs on muscle energy metabolism and meat quality. Faure J; Lefaucheur L; Bonhomme N; Ecolan P; Meteau K; Coustard SM; Kouba M; Gilbert H; Lebret B Meat Sci; 2013 Jan; 93(1):37-45. PubMed ID: 22910803 [TBL] [Abstract][Full Text] [Related]
10. Divergent selection for residual feed intake affects the transcriptomic and proteomic profiles of pig skeletal muscle. Vincent A; Louveau I; Gondret F; Tréfeu C; Gilbert H; Lefaucheur L J Anim Sci; 2015 Jun; 93(6):2745-58. PubMed ID: 26115262 [TBL] [Abstract][Full Text] [Related]
11. RNA-Seq transcriptomics and pathway analyses reveal potential regulatory genes and molecular mechanisms in high- and low-residual feed intake in Nordic dairy cattle. Salleh MS; Mazzoni G; Höglund JK; Olijhoek DW; Lund P; Løvendahl P; Kadarmideen HN BMC Genomics; 2017 Mar; 18(1):258. PubMed ID: 28340555 [TBL] [Abstract][Full Text] [Related]
12. Post-weaning blood transcriptomic differences between Yorkshire pigs divergently selected for residual feed intake. Liu H; Nguyen YT; Nettleton D; Dekkers JC; Tuggle CK BMC Genomics; 2016 Jan; 17():73. PubMed ID: 26801403 [TBL] [Abstract][Full Text] [Related]
13. Gene expression profile of intramuscular muscle in Nellore cattle with extreme values of fatty acid. Berton MP; Fonseca LF; Gimenez DF; Utembergue BL; Cesar AS; Coutinho LL; de Lemos MV; Aboujaoude C; Pereira AS; Silva RM; Stafuzza NB; Feitosa FL; Chiaia HL; Olivieri BF; Peripolli E; Tonussi RL; Gordo DM; Espigolan R; Ferrinho AM; Mueller LF; de Albuquerque LG; de Oliveira HN; Duckett S; Baldi F BMC Genomics; 2016 Nov; 17(1):972. PubMed ID: 27884102 [TBL] [Abstract][Full Text] [Related]
15. Transcriptome profiling of the rumen epithelium of beef cattle differing in residual feed intake. Kong RS; Liang G; Chen Y; Stothard P; Guan le L BMC Genomics; 2016 Aug; 17():592. PubMed ID: 27506548 [TBL] [Abstract][Full Text] [Related]
16. A comparative analysis of the transcriptome profiles of liver and muscle tissue in pigs divergent for feed efficiency. Vigors S; O'Doherty JV; Bryan K; Sweeney T BMC Genomics; 2019 Jun; 20(1):461. PubMed ID: 31170913 [TBL] [Abstract][Full Text] [Related]
17. Integrative approach using liver and duodenum RNA-Seq data identifies candidate genes and pathways associated with feed efficiency in pigs. Ramayo-Caldas Y; Ballester M; Sánchez JP; González-Rodríguez O; Revilla M; Reyer H; Wimmers K; Torrallardona D; Quintanilla R Sci Rep; 2018 Jan; 8(1):558. PubMed ID: 29323241 [TBL] [Abstract][Full Text] [Related]
18. Proteomic analysis indicates that mitochondrial energy metabolism in skeletal muscle tissue is negatively correlated with feed efficiency in pigs. Fu L; Xu Y; Hou Y; Qi X; Zhou L; Liu H; Luan Y; Jing L; Miao Y; Zhao S; Liu H; Li X Sci Rep; 2017 Mar; 7():45291. PubMed ID: 28345649 [TBL] [Abstract][Full Text] [Related]
19. RNA sequencing for global gene expression associated with muscle growth in a single male modern broiler line compared to a foundational Barred Plymouth Rock chicken line. Kong BW; Hudson N; Seo D; Lee S; Khatri B; Lassiter K; Cook D; Piekarski A; Dridi S; Anthony N; Bottje W BMC Genomics; 2017 Jan; 18(1):82. PubMed ID: 28086790 [TBL] [Abstract][Full Text] [Related]
20. Gene expression differences in Longissimus muscle of Nelore steers genetically divergent for residual feed intake. Tizioto PC; Coutinho LL; Oliveira PS; Cesar AS; Diniz WJ; Lima AO; Rocha MI; Decker JE; Schnabel RD; Mourão GB; Tullio RR; Zerlotini A; Taylor JF; Regitano LC Sci Rep; 2016 Dec; 6():39493. PubMed ID: 28004777 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]