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For: Gondret F, Vincent A, Houée-Bigot M, Siegel A, Lagarrigue S, Louveau I, Causeur D. Molecular alterations induced by a high-fat high-fiber diet in porcine adipose tissues: variations according to the anatomical fat location. BMC Genomics 2016;17:120. [PMID: 26892011 DOI: 10.1186/s12864-016-2438-3] [Cited by in Crossref: 11] [Cited by in F6Publishing: 13] [Article Influence: 1.8] [Reference Citation Analysis]
Number Citing Articles
1 Daza KR, Velez-Irizarry D, Casiró S, Steibel JP, Raney NE, Bates RO, Ernst CW. Integrated Genome-Wide Analysis of MicroRNA Expression Quantitative Trait Loci in Pig Longissimus Dorsi Muscle. Front Genet 2021;12:644091. [PMID: 33859669 DOI: 10.3389/fgene.2021.644091] [Reference Citation Analysis]
2 Terenina E, Fabre S, Bonnet A, Monniaux D, Robert-granié C, Sancristobal M, Sarry J, Vignoles F, Gondret F, Monget P, Tosser-klopp G. Differentially expressed genes and gene networks involved in pig ovarian follicular atresia. Physiological Genomics 2017;49:67-80. [DOI: 10.1152/physiolgenomics.00069.2016] [Cited by in Crossref: 23] [Cited by in F6Publishing: 21] [Article Influence: 4.6] [Reference Citation Analysis]
3 Liu BX, Sun W, Kong XQ. Perirenal Fat: A Unique Fat Pad and Potential Target for Cardiovascular Disease. Angiology. 2019;70:584-593. [PMID: 30301366 DOI: 10.1177/0003319718799967] [Cited by in Crossref: 26] [Cited by in F6Publishing: 26] [Article Influence: 6.5] [Reference Citation Analysis]
4 Horodyska J, Hamill RM, Varley PF, Reyer H, Wimmers K. Genome-wide association analysis and functional annotation of positional candidate genes for feed conversion efficiency and growth rate in pigs. PLoS One 2017;12:e0173482. [PMID: 28604785 DOI: 10.1371/journal.pone.0173482] [Cited by in Crossref: 12] [Cited by in F6Publishing: 10] [Article Influence: 2.4] [Reference Citation Analysis]
5 Ghanemi A, Melouane A, Yoshioka M, St-Amand J. Exercise and High-Fat Diet in Obesity: Functional Genomics Perspectives of Two Energy Homeostasis Pillars. Genes (Basel) 2020;11:E875. [PMID: 32752100 DOI: 10.3390/genes11080875] [Cited by in Crossref: 8] [Cited by in F6Publishing: 6] [Article Influence: 4.0] [Reference Citation Analysis]
6 Gondret F, Vincent A, Houée-Bigot M, Siegel A, Lagarrigue S, Causeur D, Gilbert H, Louveau I. A transcriptome multi-tissue analysis identifies biological pathways and genes associated with variations in feed efficiency of growing pigs. BMC Genomics 2017;18:244. [PMID: 28327084 DOI: 10.1186/s12864-017-3639-0] [Cited by in Crossref: 44] [Cited by in F6Publishing: 38] [Article Influence: 8.8] [Reference Citation Analysis]
7 Sierżant K, Perruchot MH, Merlot E, Le Floc'h N, Gondret F. Tissue-specific responses of antioxidant pathways to poor hygiene conditions in growing pigs divergently selected for feed efficiency. BMC Vet Res 2019;15:341. [PMID: 31619228 DOI: 10.1186/s12917-019-2107-2] [Cited by in Crossref: 7] [Cited by in F6Publishing: 5] [Article Influence: 2.3] [Reference Citation Analysis]
8 Oczkowicz M, Szmatoła T, Świątkiewicz M, Pawlina-Tyszko K, Gurgul A, Ząbek T. Corn dried distillers grains with solubles (cDDGS) in the diet of pigs change the expression of adipose genes that are potential therapeutic targets in metabolic and cardiovascular diseases. BMC Genomics 2018;19:864. [PMID: 30509175 DOI: 10.1186/s12864-018-5265-x] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 0.8] [Reference Citation Analysis]
9 Salleh SM, Mazzoni G, Løvendahl P, Kadarmideen HN. Gene co-expression networks from RNA sequencing of dairy cattle identifies genes and pathways affecting feed efficiency. BMC Bioinformatics 2018;19:513. [PMID: 30558534 DOI: 10.1186/s12859-018-2553-z] [Cited by in Crossref: 21] [Cited by in F6Publishing: 18] [Article Influence: 5.3] [Reference Citation Analysis]
10 Chen X, Mao Y, Hu J, Han S, Gong L, Luo T, Yang S, Qing H, Wang Y, Du Z, Mei M, Zheng L, Lv X, Tang Y, Zhao Q, Zhou Y, He JC, Li Q, Wang Z. Perirenal Fat Thickness Is Significantly Associated With the Risk for Development of Chronic Kidney Disease in Patients With Diabetes. Diabetes 2021;70:2322-32. [PMID: 34593536 DOI: 10.2337/db20-1031] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
11 Fu L, Jiang Y, Wang C, Mei M, Zhou Z, Jiang Y, Song H, Ding X. A Genome-Wide Association Study on Feed Efficiency Related Traits in Landrace Pigs. Front Genet 2020;11:692. [PMID: 32719719 DOI: 10.3389/fgene.2020.00692] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
12 Perruchot MH, Dessauge F, Gondret F, Louveau I. Response of adult stem cell populations to a high-fat/high-fiber diet in skeletal muscle and adipose tissue of growing pigs divergently selected for feed efficiency. Eur J Nutr 2021;60:2397-408. [PMID: 33125577 DOI: 10.1007/s00394-020-02418-7] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
13 Ahmad S, Drag MH, Salleh SM, Cai Z, Nielsen MO. Transcriptomics analysis of differentially expressed genes in subcutaneous and perirenal adipose tissue of sheep as affected by their pre- and early postnatal malnutrition histories. BMC Genomics 2021;22:338. [PMID: 33975549 DOI: 10.1186/s12864-021-07672-5] [Reference Citation Analysis]
14 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]