Journal of Veterinary Science

  • 제23권6호
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  • Pages.90.01-90.13
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  • 2022
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  • 1229-845X(pISSN)
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  • 1976-555X(eISSN)
대한수의학회 (The Korean Society of Veterinary Science)
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Exploring differentially expressed genes related to metabolism by RNA-Seq in porcine embryonic fibroblast after insulin treatment

  • Yingjuan, Liang (Key Laboratory of Animal Cellular and Genetic Engineering of Heilongjiang Province, College of Life Science, Northeast Agricultural University) ;
  • Jinpeng, Wang (Key Laboratory of Animal Cellular and Genetic Engineering of Heilongjiang Province, College of Life Science, Northeast Agricultural University) ;
  • Xinyu, Li (Key Laboratory of Animal Cellular and Genetic Engineering of Heilongjiang Province, College of Life Science, Northeast Agricultural University) ;
  • Shuang, Wu (Key Laboratory of Animal Cellular and Genetic Engineering of Heilongjiang Province, College of Life Science, Northeast Agricultural University) ;
  • Chaoqian, Jiang (Key Laboratory of Animal Cellular and Genetic Engineering of Heilongjiang Province, College of Life Science, Northeast Agricultural University) ;
  • Yue, Wang (Key Laboratory of Animal Cellular and Genetic Engineering of Heilongjiang Province, College of Life Science, Northeast Agricultural University) ;
  • Xuechun, Li (Key Laboratory of Animal Cellular and Genetic Engineering of Heilongjiang Province, College of Life Science, Northeast Agricultural University) ;
  • Zhong-Hua, Liu (Key Laboratory of Animal Cellular and Genetic Engineering of Heilongjiang Province, College of Life Science, Northeast Agricultural University) ;
  • Yanshuang, Mu (Key Laboratory of Animal Cellular and Genetic Engineering of Heilongjiang Province, College of Life Science, Northeast Agricultural University)
  • 투고 : 2022.03.27
  • 심사 : 2022.09.13
  • 발행 : 2022.11.30
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초록

Background: Insulin regulates glucose homeostasis and has important effects on metabolism, cell growth, and differentiation. Depending on the cell type and physiological context, insulin signal has specific pathways and biological outcomes in different tissues and cells. For studying the signal pathway of insulin on glycolipid metabolism in porcine embryonic fibroblast (PEF), we used high-throughput sequencing to monitor gene expression patterns regulated by insulin. Objectives: The goal of our research was to see how insulin affected glucose and lipid metabolism in PEFs. Methods: We cultured the PEFs with the addition of insulin and sampled them at 0, 48, and 72 h for RNA-Seq analysis in triplicate for each time point. Results: At 48 and 72 h, 801 and 1,176 genes were differentially expressed, respectively. Of these, 272 up-regulated genes and 264 down-regulated genes were common to both time points. Gene Ontology analysis was used to annotate the functions of the differentially expressed genes (DEGs), the biological processes related to lipid metabolism and cell cycle were dominant. And the DEGs were significantly enriched in interleukin-17 signaling pathway, phosphatidylinositol-3-kinase-protein kinase B signaling pathway, pyruvate metabolism, and others pathways related to lipid metabolism by Kyoto Encyclopedia of Genes and Genomes enrichment analysis. Conclusions: These results elucidate the transcriptomic response to insulin in PEF. The genes and pathways involved in the transcriptome mechanisms provide useful information for further research into the complicated molecular processes of insulin in PEF.

키워드

과제정보

We would like to extend our deep gratitude to the Key Laboratory of Animal Cellular and Genetic Engineering of Heilongjiang Province for the support of the venue and equipment.

참고문헌

  1. Kolb H, Kempf K, Rohling M, Martin S. Insulin: too much of a good thing is bad. BMC Med. 2020;18(1):224.   https://doi.org/10.1186/s12916-020-01688-6
  2. Haeusler RA, McGraw TE, Accili D. Biochemical and cellular properties of insulin receptor signalling. Nat Rev Mol Cell Biol. 2018;19(1):31-44.   https://doi.org/10.1038/nrm.2017.89
  3. Saltiel AR, Kahn CR. Insulin signalling and the regulation of glucose and lipid metabolism. Nature. 2001;414(6865):799-806.   https://doi.org/10.1038/414799a
  4. Zhang J, Liu F. Tissue-specific insulin signaling in the regulation of metabolism and aging. IUBMB Life. 2014;66(7):485-495.   https://doi.org/10.1002/iub.1293
  5. Canavan JP, Flecknell PA, New JP, Alberti KG, Home PD. The effect of portal and peripheral insulin delivery on carbohydrate and lipid metabolism in a miniature pig model of human IDDM. Diabetologia. 1997;40(10):1125-1134.   https://doi.org/10.1007/s001250050797
  6. Kleinert M, Clemmensen C, Hofmann SM, Moore MC, Renner S, Woods SC, et al. Animal models of obesity and diabetes mellitus. Nat Rev Endocrinol. 2018;14(3):140-162.   https://doi.org/10.1038/nrendo.2017.161
  7. Flecknell PA, Wootton R, John M. Total body glucose metabolism in the conscious, unrestrained piglet and its relation to body- and organ weight. Br J Nutr. 1980;44(2):193-203.   https://doi.org/10.1079/BJN19800027
  8. Manell EA, Ryden A, Hedenqvist P, Jacobson M, Jensen-Waern M. Insulin treatment of streptozotocin-induced diabetes re-establishes the patterns in carbohydrate, fat and amino acid metabolisms in growing pigs. Lab Anim. 2014;48(3):261-269.   https://doi.org/10.1177/0023677213517683
  9. Jensen-Waern M, Andersson M, Kruse R, Nilsson B, Larsson R, Korsgren O, et al. Effects of streptozotocin-induced diabetes in domestic pigs with focus on the amino acid metabolism. Lab Anim. 2009;43(3):249-254.   https://doi.org/10.1258/la.2008.008069
  10. Parsonage G, Filer AD, Haworth O, Nash GB, Rainger GE, Salmon M, et al. A stromal address code defined by fibroblasts. Trends Immunol. 2005;26(3):150-156.   https://doi.org/10.1016/j.it.2004.11.014
  11. Cechowska-Pasko M, Bankowski E. Glucose deficiency inhibits glycosaminoglycans synthesis in fibroblast cultures. Biochimie. 2010;92(7):806-813.   https://doi.org/10.1016/j.biochi.2010.02.029
  12. Park J, Ivey MJ, Deana Y, Riggsbee KL, Sorensen E, Schwabl V, et al. The Tcf21 lineage constitutes the lung lipofibroblast population. Am J Physiol Lung Cell Mol Physiol. 2019;316(5):L872-L885.   https://doi.org/10.1152/ajplung.00254.2018
  13. Xie B, Wang J, Liu S, Wang J, Xue B, Li J, et al. Positive correlation between the efficiency of induced pluripotent stem cells and the development rate of nuclear transfer embryos when the same porcine embryonic fibroblast lines are used as donor cells. Cell Reprogram. 2014;16(3):206-214.   https://doi.org/10.1089/cell.2013.0080
  14. Zhang X, Zhang J, Zheng K, Zhang H, Pei X, Yin Z, et al. Long noncoding RNAs sustain high expression levels of exogenous octamer-binding protein 4 by sponging regulatory microRNAs during cellular reprogramming. J Biol Chem. 2019;294(47):17863-17874.   https://doi.org/10.1074/jbc.RA119.010284
  15. Shi KP, Dong SL, Zhou YG, Li Y, Gao QF, Sun DJ. RNA-seq reveals temporal differences in the transcriptome response to acute heat stress in the Atlantic salmon (Salmo salar). Comp Biochem Physiol Part D Genomics Proteomics. 2019;30:169-178.   https://doi.org/10.1016/j.cbd.2018.12.011
  16. Kong QR, Zhang JM, Zhang XL, Zong M, Zheng KL, Liu L, et al. Endo-siRNAs repress expression of SINE1B during in vitro maturation of porcine oocyte. Theriogenology. 2019;135:19-24.   https://doi.org/10.1016/j.theriogenology.2019.05.011
  17. Fan X, Qiu L, Teng X, Zhang Y, Miao Y. Effect of INSIG1 on the milk fat synthesis of buffalo mammary epithelial cells. J Dairy Res. 2020;87(3):349-355.   https://doi.org/10.1017/S0022029920000710
  18. Dong XY, Tang SQ. Insulin-induced gene: a new regulator in lipid metabolism. Peptides. 2010;31(11):2145-2150.   https://doi.org/10.1016/j.peptides.2010.07.020
  19. Bai W, Zhang C, Chen H. Transcriptomic analysis of Momordica charantia polysaccharide on streptozotocin-induced diabetic rats. Gene. 2018;675:208-216.   https://doi.org/10.1016/j.gene.2018.06.106
  20. Schroor MM, Mokhtar FB, Plat J, Mensink RP. Associations between SNPs in intestinal cholesterol absorption and endogenous cholesterol synthesis genes with cholesterol metabolism. Biomedicines. 2021;9(10):1475.  
  21. Zheng Z, Zheng F. A complex auxiliary: IL-17/Th17 signaling during type 1 diabetes progression. Mol Immunol. 2019;105:16-31.   https://doi.org/10.1016/j.molimm.2018.11.007
  22. Shepherd PR, Nave BT, Siddle K. Insulin stimulation of glycogen synthesis and glycogen synthase activity is blocked by wortmannin and rapamycin in 3T3-L1 adipocytes: evidence for the involvement of phosphoinositide 3-kinase and p70 ribosomal protein-S6 kinase. Biochem J. 1995;305(Pt 1):25-28.   https://doi.org/10.1042/bj3050025
  23. Dai B, Wu Q, Zeng C, Zhang J, Cao L, Xiao Z, et al. The effect of Liuwei Dihuang decoction on PI3K/ Akt signaling pathway in liver of type 2 diabetes mellitus (T2DM) rats with insulin resistance. J Ethnopharmacol. 2016;192:382-389.   https://doi.org/10.1016/j.jep.2016.07.024
  24. Cui X, Qian DW, Jiang S, Shang EX, Zhu ZH, Duan JA. Scutellariae Radix and Coptidis Rhizoma improve glucose and lipid metabolism in T2DM rats via regulation of the metabolic profiling and MAPK/PI3K/Akt signaling pathway. Int J Mol Sci. 2018;19(11):3634.  
  25. Brady MJ, Bourbonais FJ, Saltiel AR. The activation of glycogen synthase by insulin switches from kinase inhibition to phosphatase activation during adipogenesis in 3T3-L1 cells. J Biol Chem. 1998;273(23):14063-14066.   https://doi.org/10.1074/jbc.273.23.14063
  26. Rui L. Energy metabolism in the liver. Compr Physiol. 2014;4(1):177-197.   https://doi.org/10.1002/cphy.c130024
  27. Kerr D, Grahame G, Nakouzi G. Assays of pyruvate dehydrogenase complex and pyruvate carboxylase activity. Methods Mol Biol. 2012;837:93-119.   https://doi.org/10.1007/978-1-61779-504-6_7
  28. Faarkrog Hoyer K, Laustsen C, Ringgaard S, Qi H, Mariager CO, Nielsen TS, et al. Assessment of mouse liver [1-13C]pyruvate metabolism by dynamic hyperpolarized MRS. J Endocrinol. 2019;242(3):251-260.   https://doi.org/10.1530/JOE-19-0159
  29. Ushigome E, Yamazaki M, Hamaguchi M, Ito T, Matsubara S, Tsuchido Y, et al. Usefulness and safety of remote continuous glucose monitoring for a severe COVID-19 patient with diabetes. Diabetes Technol Ther. 2021;23(1):78-80.   https://doi.org/10.1089/dia.2020.0237
  30. De Vas M, Ferrer J. Can insulin production suppress β cell growth? Cell Metab. 2016;23(1):4-5.   https://doi.org/10.1016/j.cmet.2015.12.016
  31. Duvillie B, Currie C, Chrones T, Bucchini D, Jami J, Joshi RL, et al. Increased islet cell proliferation, decreased apoptosis, and greater vascularization leading to beta-cell hyperplasia in mutant mice lacking insulin. Endocrinology. 2002;143(4):1530-1537.   https://doi.org/10.1210/en.143.4.1530
  32. Gu P, Yang D, Zhu J, Zhang M, He X. Bioinformatics analysis identified hub genes in prostate cancer tumorigenesis and metastasis. Math Biosci Eng. 2021;18(4):3180-3196. https://doi.org/10.3934/mbe.2021158
  33. Sanchez Toranzo G, Bonilla F, Zelarayan L, Oterino J, Buhler MI. Effect of insulin on spontaneous and progesterone-induced GVBD on Bufo arenarum denuded oocytes. Zygote. 2004;12(3):185-195. https://doi.org/10.1017/s0967199404002709
  34. Le Goascogne C, Hirai S, Baulieu EE. Induction of germinal vesicle breakdown in Xenopus laevis oocytes: synergistic action of progesterone and insulin. J Endocrinol. 1984;101(1):7-12. https://doi.org/10.1677/joe.0.1010007
  35. Himsworth HP. Diabetes mellitus: its differentiation into insulin-sensitive and insulin-insensitive types. 1936. Int J Epidemiol. 2013;42(6):1594-1598. https://doi.org/10.1093/ije/dyt203
  36. Davis JE, Cain J, Banz WJ, Peterson RG. Age-related differences in response to high-fat feeding on adipose tissue and metabolic profile in ZDSD rats. ISRN Obes. 2013;2013:584547. https://doi.org/10.1155/2013/584547
  37. Groenen MA, Archibald AL, Uenishi H, Tuggle CK, Takeuchi Y, Rothschild MF, et al. Analyses of pig genomes provide insight into porcine demography and evolution. Nature. 2012;491(7424):393-398. https://doi.org/10.1038/nature11622
  38. Heinemann L, Richter B. Clinical pharmacology of human insulin. Diabetes Care. 1993;16 Suppl 3:90-100.   https://doi.org/10.2337/diacare.16.3.90
  39. Szmuilowicz ED, Josefson JL, Metzger BE. Gestational diabetes mellitus. Endocrinol Metab Clin North Am. 2019;48(3):479-493.   https://doi.org/10.1016/j.ecl.2019.05.001