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For: Horodyska J, Hamill RM, Reyer H, Trakooljul N, Lawlor PG, McCormack UM, Wimmers K. RNA-Seq of Liver From Pigs Divergent in Feed Efficiency Highlights Shifts in Macronutrient Metabolism, Hepatic Growth and Immune Response. Front Genet 2019;10:117. [PMID: 30838035 DOI: 10.3389/fgene.2019.00117] [Cited by in Crossref: 10] [Cited by in F6Publishing: 17] [Article Influence: 3.3] [Reference Citation Analysis]
Number Citing Articles
1 Elolimy AA, Liang Y, Wilachai K, Alharthi AS, Paengkoum P, Trevisi E, Loor JJ. Residual feed intake in peripartal dairy cows is associated with differences in milk fat yield, ruminal bacteria, biopolymer hydrolyzing enzymes, and circulating biomarkers of immunometabolism. J Dairy Sci 2022;105:6654-69. [PMID: 35840400 DOI: 10.3168/jds.2021-21274] [Reference Citation Analysis]
2 Davoudi P, Do DN, Colombo SM, Rathgeber B, Miar Y. Application of Genetic, Genomic and Biological Pathways in Improvement of Swine Feed Efficiency. Front Genet 2022;13:903733. [PMID: 35754793 DOI: 10.3389/fgene.2022.903733] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Bai H, Guo Q, Yang B, Dong Z, Li X, Song Q, Jiang Y, Wang Z, Chang G, Chen G. Effects of residual feed intake divergence on growth performance, carcass traits, meat quality, and blood biochemical parameters in small-sized meat ducks. Poultry Science 2022. [DOI: 10.1016/j.psj.2022.101990] [Reference Citation Analysis]
4 Zhang D, Zhang X, Li F, Li X, Zhao Y, Zhang Y, Zhao L, Xu D, Wang J, Yang X, Cui P, Wang W. Identification and characterization of circular RNAs in association with the feed efficiency in Hu lambs. BMC Genomics 2022;23. [DOI: 10.1186/s12864-022-08517-5] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Cai Z, Christensen OF, Lund MS, Ostersen T, Sahana G. Large-scale association study on daily weight gain in pigs reveals overlap of genetic factors for growth in humans. BMC Genomics 2022;23:133. [PMID: 35168569 DOI: 10.1186/s12864-022-08373-3] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Lei Y, Du M, Zhang G, Chen L, Fu Y, Zhong Y, Zhang E. Bioinformatics and Network Pharmacology-Based Approaches to Explore the Potential Mechanism of the Antidepressant Effect of Cyperi Rhizoma through Soothing the Liver. Evid Based Complement Alternat Med 2021;2021:8614963. [PMID: 35126596 DOI: 10.1155/2021/8614963] [Reference Citation Analysis]
7 Kurz A, Seifert J. Factors Influencing Proteolysis and Protein Utilization in the Intestine of Pigs: A Review. Animals (Basel) 2021;11:3551. [PMID: 34944326 DOI: 10.3390/ani11123551] [Reference Citation Analysis]
8 Kroeske K, Arévalo Sureda E, Uerlings J, Deforce D, Van Nieuwerburgh F, Heyndrickx M, Millet S, Everaert N, Schroyen M. The Impact of Maternal and Piglet Low Protein Diet and Their Interaction on the Porcine Liver Transcriptome around the Time of Weaning. Vet Sci 2021;8:233. [PMID: 34679062 DOI: 10.3390/vetsci8100233] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
9 Messad F, Louveau I, Renaudeau D, Gilbert H, Gondret F. Analysis of merged whole blood transcriptomic datasets to identify circulating molecular biomarkers of feed efficiency in growing pigs. BMC Genomics 2021;22:501. [PMID: 34217223 DOI: 10.1186/s12864-021-07843-4] [Reference Citation Analysis]
10 Zhang X, Paalvast Y, Wang Y, Rensen PCN, Groen AK. A hierarchical dynamic model used for investigating feed efficiency and its relationship with hepatic gene expression in APOE*3-Leiden.CETP mice. Physiol Rep 2021;9:e14832. [PMID: 33932122 DOI: 10.14814/phy2.14832] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
11 Lam S, Miglior F, Fonseca PAS, Gómez-Redondo I, Zeidan J, Suárez-Vega A, Schenkel F, Guan LL, Waters S, Stothard P, Cánovas A. Identification of functional candidate variants and genes for feed efficiency in Holstein and Jersey cattle breeds using RNA-sequencing. J Dairy Sci 2021;104:1928-50. [PMID: 33358171 DOI: 10.3168/jds.2020-18241] [Cited by in Crossref: 1] [Cited by in F6Publishing: 6] [Article Influence: 0.5] [Reference Citation Analysis]
12 Yang L, Wang X, He T, Xiong F, Chen X, Chen X, Jin S, Geng Z. Association of residual feed intake with growth performance, carcass traits, meat quality, and blood variables in native chickens. J Anim Sci 2020;98:skaa121. [PMID: 32303739 DOI: 10.1093/jas/skaa121] [Cited by in F6Publishing: 3] [Reference Citation Analysis]
13 Banerjee P, Carmelo VAO, Kadarmideen HN. Integrative Analysis of Metabolomic and Transcriptomic Profiles Uncovers Biological Pathways of Feed Efficiency in Pigs. Metabolites 2020;10:E275. [PMID: 32640603 DOI: 10.3390/metabo10070275] [Cited by in Crossref: 1] [Cited by in F6Publishing: 4] [Article Influence: 0.5] [Reference Citation Analysis]
14 Yang L, He T, Xiong F, Chen X, Fan X, Jin S, Geng Z. Identification of key genes and pathways associated with feed efficiency of native chickens based on transcriptome data via bioinformatics analysis. BMC Genomics 2020;21:292. [PMID: 32272881 DOI: 10.1186/s12864-020-6713-y] [Cited by in Crossref: 3] [Cited by in F6Publishing: 12] [Article Influence: 1.5] [Reference Citation Analysis]
15 Banerjee P, Carmelo VAO, Kadarmideen HN. Genome-Wide Epistatic Interaction Networks Affecting Feed Efficiency in Duroc and Landrace Pigs. Front Genet 2020;11:121. [PMID: 32184802 DOI: 10.3389/fgene.2020.00121] [Cited by in Crossref: 10] [Cited by in F6Publishing: 11] [Article Influence: 5.0] [Reference Citation Analysis]
16 Verschuren LMG, Schokker D, Bergsma R, Jansman AJM, Molist F, Calus MPL. Prediction of nutrient digestibility in grower-finisher pigs based on faecal microbiota composition. J Anim Breed Genet 2020;137:23-35. [PMID: 31531910 DOI: 10.1111/jbg.12433] [Cited by in Crossref: 6] [Cited by in F6Publishing: 8] [Article Influence: 2.0] [Reference Citation Analysis]
17 Luan Y, Zhang L, Hu M, Xu Y, Hou Y, Li X, Zhao S, Zhao Y, Li C. Identification and Conservation Analysis of Cis-Regulatory Elements in Pig Liver. Genes (Basel) 2019;10:E348. [PMID: 31067820 DOI: 10.3390/genes10050348] [Cited by in F6Publishing: 1] [Reference Citation Analysis]