1.Adoligbe C, Huangfu YF, Zan LS, Wang H. C/EBPalpha gene as a genetic marker for beef quality improvement. Genet Mol Res.2015; 14 3:9370–9383.
2.Vernon RG: Lipid metabolism in the adipose tissue of ruminants. In: Lipid metabolism in ruminant animals. Edited by Christie W: Pergamon Press, Oxford, UK; 1981: 279–362.
3.Hocquette JF, Gondret F, Baeza E, Medale F, Jurie C, Pethick DW. Intramuscular fat content in meat-producing animals: development, genetic and nutritional control, and identification of putative markers. Animal.2010; 4 2:303–319.
4.Pethick D, Harper G, Oddy V. Growth, development and nutritional manipulation of marbling in cattle: a review. Australian Journal of Experimental Agriculture.2004; 44:705–715.
5.Harper G, Pethick D. How might marbling begin. Australian Journal of Experimental Agriculture.2004; 44:653–662.
6.Smith SB, Crouse JD. Relative contributions of acetate, lactate and glucose to lipogenesis in bovine intramuscular and subcutaneous adipose tissue. J Nutr.1984; 114 4:792–800.
7.Tume R. The effects of environmental factors on fatty acid composition and the assessment of marbling in beef cattle: a review. Australian Journal of Experimental Agriculture.2004; 44:663–668.
8.Smith SB: Marbling: Management of cattle to maximise the deposition of intramuscular adipose tissue. In.; 2014.
9.May SG, Burney NS, Wilson JJ, Savell JW, Herring AD, Lunt DK, Baker JF, Sanders JO, Smith SB. Lipogenic activity of intramuscular and subcutaneous adipose tissues from steers produced by different generations of angus sires. J Anim Sci.1995; 73 5:1310–1317.
10.Gardan D, Gondret F, Louveau I. Lipid metabolism and secretory function of porcine intramuscular adipocytes compared with subcutaneous and perirenal adipocytes. Am J Physiol Endocrinol Metab.2006; 291 2:E372–380.
11.Smith SB, Kawachi H, Choi CB, Choi CW, Wu G, Sawyer JE. Cellular regulation of bovine intramuscular adipose tissue development and composition. J Anim Sci.2009; 87 14 Suppl:E72–82.
12.Greenwood PL, Siddell JP, Walmsley BJ, Geesink GH, Pethick DW, McPhee MJ. Postweaning substitution of grazed forage with a high-energy concentrate has variable long-term effects on subcutaneous fat and marbling in Bos taurus genotypes. Journal of Animal Science.2015; 93:1–12.
13.Park SJ, Beak SH, Jung DJS, Kim SY, Jeong IH, Piao MY, Kang HJ, Fassah DM, Na SW, Yoo SP et al. Genetic, management, and nutritional factors affecting intramuscular fat deposition in beef cattle - A review. Asian-Australas J Anim Sci.2018; 31 7:1043–1061.
14.Wendel AA, Lewin TM, Coleman RA. Glycerol–3-phosphate acyltransferases: rate limiting enzymes of triacylglycerol biosynthesis. Biochim Biophys Acta.2009; 1791 6:501–506.
15.Tchkonia T, Lenburg M, Thomou T, Giorgadze N, Frampton G, Pirtskhalava T, Cartwright A, Cartwright M, Flanagan J, Karagiannides I et al. Identification of depot-specific human fat cell progenitors through distinct expression profiles and developmental gene patterns. Am J Physiol Endocrinol Metab.2007; 292 1:E298–307.
16.Shan T, Liu W, Kuang S. Fatty acid binding protein 4 expression marks a population of adipocyte progenitors in white and brown adipose tissues. FASEB J.2013; 27 1:277–287.
17.Hausman GJ, Dodson MV, Ajuwon K, Azain M, Barnes KM, Guan LL, Jiang Z, Poulos SP, Sainz RD, Smith S et al. Board-invited review: the biology and regulation of preadipocytes and adipocytes in meat animals. J Anim Sci.2009; 87 4:1218–1246.
18.Smas CM, Sul HS. Control of adipocyte differentiation. Biochem J.1995; 309 ( Pt 3):697–710.
19.Wu T, Zhang Z, Yuan Z, Lo LJ, Chen J, Wang Y, Peng J. Distinctive genes determine different intramuscular fat and muscle fiber ratios of the longissimus dorsi muscles in Jinhua and landrace pigs. PLoS One.2013; 8 1:e53181.
20.Hudson NJ, Reverter A, Wang Y, Greenwood PL, Dalrymple BP. Inferring the transcriptional landscape of bovine skeletal muscle by integrating co-expression networks. PLoS One.2009; 4 10:e7249.
21.Fu Y, Luo L, Luo N, Zhu X, Garvey WT. NR4A orphan nuclear receptors modulate insulin action and the glucose transport system: potential role in insulin resistance. J Biol Chem.2007; 282 43:31525–31533.
22.Bauman DE. Intermediary metabolism of adipose tissue. Federation Proceedings.1976; 35 11:2308–2313.
23.Kandutsch AA, Chen HW. Inhibition of sterol synthesis in cultured mouse cells by cholesterol derivatives oxygenated in the side chain. J Biol Chem.1974; 249 19:6057–6061.
24.Gill S, Chow R, Brown AJ. Sterol regulators of cholesterol homeostasis and beyond: the oxysterol hypothesis revisited and revised. Prog Lipid Res.2008; 47 6:391–404.
25.Ichikawa T, Sugiura H, Koarai A, Kikuchi T, Hiramatsu M, Kawabata H, Akamatsu K, Hirano T, Nakanishi M, Matsunaga K et al. 25-hydroxycholesterol promotes fibroblast-mediated tissue remodeling through NF-kappaB dependent pathway. Exp Cell Res.2013; 319 8:1176–1186.
26.Cyster JG, Dang EV, Reboldi A, Yi T. 25-Hydroxycholesterols in innate and adaptive immunity. Nat Rev Immunol.2014; 14 11:731–743.
27.Duarte MS, Paulino PV, Das AK, Wei S, Serao NV, Fu X, Harris SM, Dodson MV, Du M. Enhancement of adipogenesis and fibrogenesis in skeletal muscle of Wagyu compared with Angus cattle. J Anim Sci.2013; 91 6:2938–2946.
28.Sozen E, Ozer NK. Impact of high cholesterol and endoplasmic reticulum stress on metabolic diseases: An updated mini-review. Redox Biol.2017; 12:456–461.
29.Varghese M, Griffin C, Singer K. The role of sex and sex hormones in regulating obesity-induced inflammation. Adv Exp Med Biol.2017; 1043:65–86.
30.Liu X, Yu X, Zack DJ, Zhu H, Qian J. TiGER: a database for tissue-specific gene expression and regulation. BMC Bioinformatics.2008; 9:271.
31.Greenwood PL, Cafe LM, Hearnshaw H, Hennessy DW, Thompson JM, Morris SG. Long-term consequences of birth weight and growth to weaning on carcass, yield and beef quality characteristics of Piedmontese- and Wagyu-sired cattle. Australian Journal of Experimental Agriculture.2006; 46:257–269.
32.Abdel-Khalik J, Yutuc E, Crick PJ, Gustafsson JA, Warner M, Roman G, Talbot K, Gray E, Griffiths WJ, Turner MR et al. Defective cholesterol metabolism in amyotrophic lateral sclerosis. J Lipid Res.2017; 58 1:267–278.
33.Reverter A, Barris W, McWilliam S, Byrne KA, Wang YH, Tan SH, Hudson N, Dalrymple BP. Validation of alternative methods of data normalization in gene co-expression studies. Bioinformatics.2005; 21 7:1112–1120.
34.Caraux G, Pinloche S. PermutMatrix: a graphical environment to arrange gene expression profiles in optimal linear order. Bioinformatics.2005; 21 7:1280–1281.
35.Hudson NJ, Reverter A, Dalrymple BP. A differential wiring analysis of expression data correctly identifies the gene containing the causal mutation. PLoS Comput Biol.2009; 5 5:e1000382.
36.Bottje W, Kong BW, Reverter A, Waardenberg AJ, Lassiter K, Hudson NJ. Progesterone signalling in broiler skeletal muscle is associated with divergent feed efficiency. BMC Syst Biol.2017; 11 1:29.
37.Eden E, Lipson D, Yogev S, Yakhini Z. Discovering motifs in ranked lists of DNA sequences. PLoS Comput Biol.2007; 3 3:e39.
38.Eden E, Navon R, Steinfeld I, Lipson D, Yakhini Z. GOrilla: a tool for discovery and visualization of enriched GO terms in ranked gene lists. BMC Bioinformatics.2009; 10:48.