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Cited by in F6Publishing
For: 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: 17] [Article Influence: 3.3] [Reference Citation Analysis]
Number Citing Articles
1 Mota LFM, Santos SWB, Júnior GAF, Bresolin T, Mercadante MEZ, Silva JAV, Cyrillo JNSG, Monteiro FM, Carvalheiro R, Albuquerque LG. Meta-analysis across Nellore cattle populations identifies common metabolic mechanisms that regulate feed efficiency-related traits. BMC Genomics 2022;23:424. [PMID: 35672696 DOI: 10.1186/s12864-022-08671-w] [Reference Citation Analysis]
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3 Zsolnai A, Csókás A, Szabó L, Patkó L, Csányi S, Márton M, Lakatos EA, Anton I, Deutsch F, Heltai M. Genetic adaptation to urban living: molecular DNA analyses of wild boar populations in Budapest and surrounding area. Mamm Biol. [DOI: 10.1007/s42991-021-00212-4] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
4 Zhu C, Wang L, Nie X, Yang X, Gao K, Jiang Z. Dietary dibutyryl cAMP supplementation regulates the fat deposition in adipose tissues of finishing pigs via cAMP/PKA pathway. Anim Biotechnol 2021;:1-14. [PMID: 34871537 DOI: 10.1080/10495398.2021.2003373] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
5 Weldenegodguad M, Pokharel K, Niiranen L, Soppela P, Ammosov I, Honkatukia M, Lindeberg H, Peippo J, Reilas T, Mazzullo N, Mäkelä KA, Nyman T, Tervahauta A, Herzig KH, Stammler F, Kantanen J. Adipose gene expression profiles reveal insights into the adaptation of northern Eurasian semi-domestic reindeer (Rangifer tarandus). Commun Biol 2021;4:1170. [PMID: 34620965 DOI: 10.1038/s42003-021-02703-z] [Reference Citation Analysis]
6 Miao Y, Mei Q, Fu C, Liao M, Liu Y, Xu X, Li X, Zhao S, Xiang T. Genome-wide association and transcriptome studies identify candidate genes and pathways for feed conversion ratio in pigs. BMC Genomics 2021;22:294. [PMID: 33888058 DOI: 10.1186/s12864-021-07570-w] [Cited by in F6Publishing: 3] [Reference Citation Analysis]
7 Fan W, Shi R, Guan M, Chen P, Wu H, Su W, Wang Y, Li P. The Effects of Naringenin on miRNA-mRNA Profiles in HepaRG Cells. Int J Mol Sci 2021;22:2292. [PMID: 33669020 DOI: 10.3390/ijms22052292] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
8 Zhang DY, Zhang XX, Li GZ, Li XL, Zhang YK, Zhao Y, Song QZ, Wang WM. Transcriptome analysis of long noncoding RNAs ribonucleic acids from the livers of Hu sheep with different residual feed intake. Animal 2021;15:100098. [PMID: 33573993 DOI: 10.1016/j.animal.2020.100098] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
9 Zhao X, Wang C, Wang Y, Zhou L, Hu H, Bai L, Wang J. Weighted gene co-expression network analysis reveals potential candidate genes affecting drip loss in pork. Anim Genet 2020;51:855-65. [PMID: 32986257 DOI: 10.1111/age.13006] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
10 Mihelic R, Winter H, Powers JB, Das S, Lamour K, Campagna SR, Voy BH. Genes controlling polyunsaturated fatty acid synthesis are developmentally regulated in broiler chicks. Br Poult Sci 2020;61:508-17. [PMID: 32316746 DOI: 10.1080/00071668.2020.1759788] [Cited by in Crossref: 2] [Cited by in F6Publishing: 5] [Article Influence: 1.0] [Reference Citation Analysis]
11 Zhao X, Hu H, Lin H, Wang C, Wang Y, Wang J. Muscle Transcriptome Analysis Reveals Potential Candidate Genes and Pathways Affecting Intramuscular Fat Content in Pigs. Front Genet 2020;11:877. [PMID: 32849841 DOI: 10.3389/fgene.2020.00877] [Cited by in Crossref: 2] [Cited by in F6Publishing: 14] [Article Influence: 1.0] [Reference Citation Analysis]
12 Ropka-Molik K, Pawlina-Tyszko K, Żukowski K, Tyra M, Derebecka N, Wesoły J, Szmatoła T, Piórkowska K. Identification of Molecular Mechanisms Related to Pig Fatness at the Transcriptome and miRNAome Levels. Genes (Basel) 2020;11:E600. [PMID: 32485856 DOI: 10.3390/genes11060600] [Cited by in Crossref: 2] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
13 Wu J, Wang X, Ding R, Quan J, Ye Y, Gu T, Xu Z, Zheng E, Cai G, Wu Z, Yang M, Yang J. Identification of Important Proteins and Pathways Affecting Feed Efficiency in DLY Pigs by iTRAQ-Based Proteomic Analysis. Animals (Basel) 2020;10:E189. [PMID: 31978958 DOI: 10.3390/ani10020189] [Cited by in Crossref: 3] [Cited by in F6Publishing: 5] [Article Influence: 1.5] [Reference Citation Analysis]
14 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]
15 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]
16 Hou Y, Hu M, Zhou H, Li C, Li X, Liu X, Zhao Y, Zhao S. Neuronal Signal Transduction-Involved Genes in Pig Hypothalamus Affect Feed Efficiency as Revealed by Transcriptome Analysis. Biomed Res Int 2018;2018:5862571. [PMID: 30687750 DOI: 10.1155/2018/5862571] [Cited by in Crossref: 2] [Cited by in F6Publishing: 15] [Article Influence: 0.5] [Reference Citation Analysis]
17 Song B, Di S, Cui S, Chen N, Wang H, Wang X, Gao Q, Tong G, Wang H, Huang X, Ding L, Gao Y, Liu J, Wang X. Distinct Patterns of PPARγ Promoter Usage, Lipid Degradation Activity, and Gene Expression in Subcutaneous Adipose Tissue of Lean and Obese Swine. Int J Mol Sci 2018;19:E3892. [PMID: 30563100 DOI: 10.3390/ijms19123892] [Cited by in Crossref: 3] [Cited by in F6Publishing: 5] [Article Influence: 0.8] [Reference Citation Analysis]