Microarray analysis of genes differentially expressed in the liver of lean and fat chickens

被引:14
|
作者
Wang, H. B. [1 ]
Wang, Q. G. [1 ]
Zhang, X. Y. [2 ]
Gu, X. F. [3 ]
Wang, N. [1 ]
Wu, S. B. [4 ,5 ]
Li, H. [1 ]
机构
[1] NE Agr Univ, Coll Anim Sci & Technol, Harbin 150030, Heilongjiang, Peoples R China
[2] Tsinghua Univ, Sch Biomed, Minist Educ, Key Lab Bioinformat, Beijing 100084, Peoples R China
[3] Harbin Gene Tech Biochip Dev Inc LTD, Harbin 150090, Heilongjiang, Peoples R China
[4] Univ New England, Sch Environm & Rural Sci, Armidale, NSW, Australia
[5] Univ New England, Inst Genom & Bioinformat, Armidale, NSW, Australia
关键词
chicken; liver; gene expression profile; lipid metabolism; ADIPOSE-TISSUE; ACETYL-COENZYME; ACID SYNTHESIS; MESSENGER-RNA; LIPOGENESIS; CARBOXYLASE; ENZYME; GAMMA; YOLK;
D O I
10.1017/S1751731109991388
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
Excessive accumulation of lipids in the adipose tissue is one of the main problems faced by the broiler industry nowadays. In chicken, lipogenesis occurs essentially in the liver, in which much of the triglycerides that accumulate in avian adipose tissue are synthesized. In order to better understand the gene expression and its regulation in chicken liver, the gene expression profiles of liver at developmental stages of chicken (1 week, 4 weeks and 7 weeks of age) were investigated and differentially expressed genes between lean and fat chicken lines divergently selected for abdominal fat content for eight generations were screened. Our data indicated that 4 weeks of age was a very important stage on chicken liver lipogenesis compared to 1 week and 7 weeks of age, and the glycometabolism in chicken liver could be related to lipid metabolism and the difference of glycometabolism could be another potential reason for the fat and lean phenotype occurrence besides the difference of lipogenesis in chicken liver Our result have established groundwork for further study of the basic genetic control of chicken obesity and will benefit chicken research communities as well as researches that use chicken as a model organism for developmental biology and human therapeutics.
引用
收藏
页码:513 / 522
页数:10
相关论文
共 50 条
  • [31] NEW APPROACH FOR ESTIMATING DIFFERENTIALLY EXPRESSED GENES IN MICROARRAY
    Punathumparambath, Bindu
    Meethal, Kannan Vadakkadath
    [J]. ADVANCES AND APPLICATIONS IN STATISTICS, 2021, 66 (02) : 191 - 208
  • [32] Selecting differentially expressed genes from microarray experiments
    Pepe, MS
    Longton, G
    Anderson, GL
    Schummer, M
    [J]. BIOMETRICS, 2003, 59 (01) : 133 - 142
  • [33] Identifying differentially expressed genes in cDNA microarray experiments
    Baggerly, KA
    Coombes, KR
    Hess, KR
    Stivers, DN
    Abruzzo, LV
    Zhang, W
    [J]. JOURNAL OF COMPUTATIONAL BIOLOGY, 2001, 8 (06) : 639 - 659
  • [34] Ranking analysis of microarray data: A powerful method for identifying differentially expressed genes
    Tan, Yuan-De
    Fornage, Myriam
    Fu, Yun-Xin
    [J]. GENOMICS, 2006, 88 (06) : 846 - 854
  • [35] Identification of differentially expressed genes in the brains of suicide victims;: a microarray analysis study
    Thalmeier, A
    Giegling, I
    Dietrich, I
    Schneider, B
    Maurer, K
    Hartmann, AM
    Möller, HJ
    Strimmer, K
    Schaefer, J
    Bratzke, H
    Schnabel, A
    [J]. PHARMACOPSYCHIATRY, 2005, 38 (05) : 280 - 280
  • [36] An Integrative Bioinformatics Analysis of Microarray Data for Identifying Differentially Expressed Genes in Preeclampsia
    L. M. Song
    M. Long
    S. J. Song
    J. R. Wang
    G. W. Zhao
    N. Zhao
    [J]. Russian Journal of Genetics, 2022, 58 : 866 - 875
  • [37] Effect of normalisation on detection of differentially expressed genes in cDNA microarray data analysis
    Dimauro, C.
    Bacciu, N.
    Macciotta, N. P. P.
    [J]. ITALIAN JOURNAL OF ANIMAL SCIENCE, 2007, 6 : 122 - 124
  • [38] Microarray analysis of differentially expressed background genes in rats following hemorrhagic shock
    Yu Xiaojun
    Qian Cheng
    Zhang Yuxing
    Hu Zhiqian
    [J]. MOLECULAR BIOLOGY REPORTS, 2012, 39 (02) : 2045 - 2053
  • [39] Microarray Analysis of Differentially Expressed Genes between Cysts and Trophozoites of Acanthamoeba castellanii
    Moon, Eun-Kyung
    Xuan, Ying-Hua
    Chung, Dong-Il
    Hong, Yeonchul
    Kong, Hyun-Hee
    [J]. KOREAN JOURNAL OF PARASITOLOGY, 2011, 49 (04): : 341 - 347
  • [40] Microarray analysis of differentially expressed genes in osteoblasts and osteocytes in murine calvarial tissue
    Paic, F.
    Igwe, J.
    Ravi, N.
    Kronenberg, M.
    Kuo, L.
    Shin, D. G.
    Harris, S.
    Rowe, D.
    Kalajzic, I.
    [J]. FEBS JOURNAL, 2009, 276 : 381 - 381