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For: Horodyska J, Reyer H, Wimmers K, Trakooljul N, Lawlor PG, Hamill RM. 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. Mol Genet Genomics 2019;294:395-408. [PMID: 30483895 DOI: 10.1007/s00438-018-1515-5] [Cited by in Crossref: 7] [Cited by in F6Publishing: 9] [Article Influence: 1.8] [Reference Citation Analysis]
Number Citing Articles
1 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]
2 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]
3 Sun W, Yu Z, Yang S, Jiang C, Kou Y, Xiao L, Tang S, Zhu T. A Transcriptomic Analysis Reveals Novel Patterns of Gene Expression During 3T3-L1 Adipocyte Differentiation. Front Mol Biosci 2020;7:564339. [PMID: 33195411 DOI: 10.3389/fmolb.2020.564339] [Cited by in Crossref: 2] [Cited by in F6Publishing: 6] [Article Influence: 1.0] [Reference Citation Analysis]
4 Sánchez JP, Legarra A, Velasco-Galilea M, Piles M, Sánchez A, Rafel O, González-Rodríguez O, Ballester M. Genome-wide association study for feed efficiency in collective cage-raised rabbits under full and restricted feeding. Anim Genet 2020;51:799-810. [PMID: 32697387 DOI: 10.1111/age.12988] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
5 Keel BN, Snelling WM, Lindholm-Perry AK, Oliver WT, Kuehn LA, Rohrer GA. Using SNP Weights Derived From Gene Expression Modules to Improve GWAS Power for Feed Efficiency in Pigs. Front Genet 2019;10:1339. [PMID: 32038708 DOI: 10.3389/fgene.2019.01339] [Cited by in Crossref: 2] [Cited by in F6Publishing: 5] [Article Influence: 1.0] [Reference Citation Analysis]
6 Jin S, Yang L, Fan X, Wu M, Xu Y, Chen X, Lin Z, Geng Z. Effect of divergence in residual feed intake on expression of lipid metabolism-related genes in the liver of meat-type ducks1. J Anim Sci 2019;97:3947-57. [PMID: 31325379 DOI: 10.1093/jas/skz241] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
7 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]
8 Messad F, Louveau I, Koffi B, Gilbert H, Gondret F. Investigation of muscle transcriptomes using gradient boosting machine learning identifies molecular predictors of feed efficiency in growing pigs. BMC Genomics 2019;20:659. [PMID: 31419934 DOI: 10.1186/s12864-019-6010-9] [Cited by in Crossref: 14] [Cited by in F6Publishing: 13] [Article Influence: 4.7] [Reference Citation Analysis]
9 Benítez R, Trakooljul N, Núñez Y, Isabel B, Murani E, De Mercado E, Gómez-Izquierdo E, García-Casco J, López-Bote C, Wimmers K, Óvilo C. Breed, Diet, and Interaction Effects on Adipose Tissue Transcriptome in Iberian and Duroc Pigs Fed Different Energy Sources. Genes (Basel) 2019;10:E589. [PMID: 31382709 DOI: 10.3390/genes10080589] [Cited by in Crossref: 10] [Cited by in F6Publishing: 13] [Article Influence: 3.3] [Reference Citation Analysis]