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For: Horodyska J, Oster M, Reyer H, Mullen AM, Lawlor PG, Wimmers K, Hamill RM. Analysis of meat quality traits and gene expression profiling of pigs divergent in residual feed intake. Meat Science 2018;137:265-74. [DOI: 10.1016/j.meatsci.2017.11.021] [Cited by in Crossref: 12] [Cited by in F6Publishing: 11] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 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: 12] [Article Influence: 4.7] [Reference Citation Analysis]
2 Vigors S, O'Doherty JV, Bryan K, Sweeney T. A comparative analysis of the transcriptome profiles of liver and muscle tissue in pigs divergent for feed efficiency. BMC Genomics 2019;20:461. [PMID: 31170913 DOI: 10.1186/s12864-019-5740-z] [Cited by in Crossref: 12] [Cited by in F6Publishing: 10] [Article Influence: 4.0] [Reference Citation Analysis]
3 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: 4] [Article Influence: 2.0] [Reference Citation Analysis]
4 Yang C, Han L, Li P, Ding Y, Zhu Y, Huang Z, Dan X, Shi Y, Kang X. Characterization and Duodenal Transcriptome Analysis of Chinese Beef Cattle With Divergent Feed Efficiency Using RNA-Seq. Front Genet 2021;12:741878. [PMID: 34675965 DOI: 10.3389/fgene.2021.741878] [Reference Citation Analysis]
5 Carmelo VAO, Kadarmideen HN. Genome Regulation and Gene Interaction Networks Inferred From Muscle Transcriptome Underlying Feed Efficiency in Pigs. Front Genet 2020;11:650. [PMID: 32655625 DOI: 10.3389/fgene.2020.00650] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
6 Xu Y, Qi X, Hu M, Lin R, Hou Y, Wang Z, Zhou H, Zhao Y, Luan Y, Zhao S, Li X. Transcriptome Analysis of Adipose Tissue Indicates That the cAMP Signaling Pathway Affects the Feed Efficiency of Pigs. Genes (Basel) 2018;9:E336. [PMID: 29973485 DOI: 10.3390/genes9070336] [Cited by in Crossref: 13] [Cited by in F6Publishing: 13] [Article Influence: 3.3] [Reference Citation Analysis]
7 Horodyska J, Wimmers K, Reyer H, Trakooljul N, Mullen AM, Lawlor PG, Hamill RM. 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. BMC Genomics 2018;19:791. [PMID: 30384851 DOI: 10.1186/s12864-018-5175-y] [Cited by in Crossref: 25] [Cited by in F6Publishing: 20] [Article Influence: 6.3] [Reference Citation Analysis]
8 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: 10] [Article Influence: 3.3] [Reference Citation Analysis]
9 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: 7] [Article Influence: 1.8] [Reference Citation Analysis]
10 Ben-arye T, Levenberg S. Tissue Engineering for Clean Meat Production. Front Sustain Food Syst 2019;3:46. [DOI: 10.3389/fsufs.2019.00046] [Cited by in Crossref: 40] [Cited by in F6Publishing: 15] [Article Influence: 13.3] [Reference Citation Analysis]
11 de Lima AO, Koltes JE, Diniz WJS, de Oliveira PSN, Cesar ASM, Tizioto PC, Afonso J, de Souza MM, Petrini J, Rocha MIP, Cardoso TF, Neto AZ, Coutinho LL, Mourão GB, Regitano LCA. Potential Biomarkers for Feed Efficiency-Related Traits in Nelore Cattle Identified by Co-expression Network and Integrative Genomics Analyses. Front Genet 2020;11:189. [PMID: 32194642 DOI: 10.3389/fgene.2020.00189] [Cited by in Crossref: 5] [Cited by in F6Publishing: 3] [Article Influence: 2.5] [Reference Citation Analysis]