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  • ISSN 1674-8301
  • CN 32-1810/R
Volume 31 Issue 6
Oct.  2017
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Leijian Guan, Kaixuan Xu, Shuyang Xu, Ningning Li, Xinru Wang, Yankai Xia, Di Wu. Profiles of metabolic gene expression in the white adipose tissue, liver and hypothalamus in leptin knockout (LepΔI14/ΔI14 ) rats[J]. The Journal of Biomedical Research, 2017, 31(6): 528-540. DOI: 10.7555/JBR.31.20170021
Citation: Leijian Guan, Kaixuan Xu, Shuyang Xu, Ningning Li, Xinru Wang, Yankai Xia, Di Wu. Profiles of metabolic gene expression in the white adipose tissue, liver and hypothalamus in leptin knockout (LepΔI14/ΔI14 ) rats[J]. The Journal of Biomedical Research, 2017, 31(6): 528-540. DOI: 10.7555/JBR.31.20170021
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Profiles of metabolic gene expression in the white adipose tissue, liver and hypothalamus in leptin knockout (LepΔI14/ΔI14 ) rats

  • 1.

    State Key Laboratory of Reproductive Medicine, Institute of Toxicology, School of Public Health, Nanjing Medical University, Nanjing 211166, China

  • 2.

    Xuzhou Central Hospital, The Affiliated Xuzhou Hospital of Medical College of Southeast University, Xuzhou, Jiangsu 221009, China

  • 3.

    School of Life Sciences and Technology, Tongji University, Shanghai 200092, China

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We gratefully acknowledge the technical assistance of Ling Song. This work was supported by grants from the National Natural Science Foundation of China (No. 81470150).

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  • Received Date: February 28, 2017
  • Revised Date: March 17, 2017
    Graphical Abstract
    • Abstract
  • Leptin deficiency is principally linked to metabolic disorders. Leptin knockout (LepΔI14/ΔI14) Sprague Dawley rats created by CRISPR/Cas9 is a new model to study metabolic disorders. We used a whole rat genome oligonucleotide microarray to obtain tissue-specific gene expression profiles of the white adipose tissue, liver and hypothalamus in LepΔI14/ΔI14 and wild-type (WT) rats. We found 1,651 differentially expressed (enriched) genes in white adipose tissue, 916 in the liver, and 306 in the hypothalamus in the LepΔI14/ΔI14 rats compared to WT. Gene ontology category and KEGG pathway analysis of the relationships among differentially expressed genes showed that these genes were represented in a variety of functional categories, including fatty acid metabolism, molecular transducers and cellular processes. The reliability of the data obtained from microarray was verified by quantitative real-time PCR on 14 representative genes. These data will contribute to a greater understanding of different metabolic disorders, such as obesity and diabetes.
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    2. Casado ME, Collado-Pérez R, Frago LM, et al. Recent Advances in the Knowledge of the Mechanisms of Leptin Physiology and Actions in Neurological and Metabolic Pathologies. Int J Mol Sci, 2023, 24(2): 1422. DOI:10.3390/ijms24021422
    3. Chenouard V, Remy S, Tesson L, et al. Advances in Genome Editing and Application to the Generation of Genetically Modified Rat Models. Front Genet, 2021, 12: 615491. DOI:10.3389/fgene.2021.615491
    4. Lin SY, Yang CP, Wang YY, et al. Interleukin-4 Improves Metabolic Abnormalities in Leptin-Deficient and High-Fat Diet Mice. Int J Mol Sci, 2020, 21(12): 4451. DOI:10.3390/ijms21124451

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