Transcriptome analyses identify key genes and potential mechanisms in a rat model of osteoarthritis

被引:0
|
作者
Hui-Zi Li
Hua-Ding Lu
机构
[1] The Fifth Affiliated Hospital of Sun Yat-Sen University,Department of Orthopaedics
[2] The Fifth Affiliated Hospital of Sun Yat-Sen University,Guangdong Provincial Engineering Research Center of Molecular Imaging
关键词
Osteoarthritis; Differentially expressed genes; Animal model; Bioinformatics analysis;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [1] Transcriptome analyses identify key genes and potential mechanisms in a rat model of osteoarthritis
    Li, Hui-Zi
    Lu, Hua-Ding
    JOURNAL OF ORTHOPAEDIC SURGERY AND RESEARCH, 2018, 13
  • [2] Transcriptome analyses identify hub genes and potential mechanisms in adenoid cystic carcinoma
    Liu, Hong-Bing
    Huang, Guan-Jiang
    Luo, Meng-Si
    MEDICINE, 2020, 99 (02)
  • [3] Transcriptome Analyses Identify Potential Key microRNAs and Their Target Genes Contributing to Ovarian Reserve
    Kim, Yoon-Young
    Kim, Kwang-Soo
    Kim, Yong-Jin
    Kim, Sung-Woo
    Kim, Hoon
    Ku, Seung-Yup
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2021, 22 (19)
  • [4] Network Analyses of Differentially Expressed Genes in Osteoarthritis to Identify Hub Genes
    Li, Zhaoyan
    Zhong, Lei
    Du, Zhenwu
    Chen, Gaoyang
    Shang, Jing
    Yang, Qiwei
    Wang, Qingyu
    Song, Yang
    Zhang, Guizhen
    BIOMED RESEARCH INTERNATIONAL, 2019, 2019
  • [5] Gene Expression Profiling Analysis to Identify Key Genes and Underlying Mechanisms in Meniscus of Osteoarthritis Patients
    Wang, Bin
    Zhong, Jun-Long
    Xu, Xiang-He
    Wu, Biao
    Shang, Jie
    Jiang, Ning
    Lu, Hua-Ding
    COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING, 2021, 24 (08) : 1151 - 1167
  • [6] Identification of Key Genes and Potential Mechanisms Based on the Autophagy Regulatory Network in Osteoclasts Using a Murine Osteoarthritis Model
    Zhang, Haifeng
    Sun, Houyi
    Zhang, Wei
    Xu, Yaozeng
    Geng, Dechun
    JOURNAL OF INFLAMMATION RESEARCH, 2022, 15 : 2333 - 2347
  • [7] Unbiased transcriptome mapping and modeling identify candidate genes and compounds of osteoarthritis
    Cao, Hui
    Fu, Yifan
    Zhang, Zhenzhen
    Guo, Weichun
    FRONTIERS IN PHARMACOLOGY, 2022, 13
  • [8] Global transcriptome analysis to identify critical genes involved in the pathology of osteoarthritis
    Zhang, X.
    Bu, Y.
    Zhu, B.
    Zhao, Q.
    Lv, Z.
    Li, B.
    Liu, J.
    BONE & JOINT RESEARCH, 2018, 7 (04): : 298 - 307
  • [9] Integrated embryonic transcriptome analyses identify key melanoma metastasis regulator
    Mishra, Pravin J.
    Guo, Theresa
    Zaidi, Raza
    Davis, Sean
    Michalowski, Aleksandra
    Michael, Helen
    Reinhold, William
    Arnheiter, Heinz
    Meltzer, Paul
    Merlino, Glenn
    CANCER RESEARCH, 2014, 74 (19)
  • [10] Epidemiological and transcriptome data identify potential key genes involved in iron overload for type 2 diabetes
    Liu, Xuekui
    Hong, Xiu
    Jiang, Shiqiang
    Li, Rui
    Lv, Qian
    Wang, Jie
    Wang, Xiuli
    Yang, Manqing
    Geng, Houfa
    Li, Yang
    DIABETOLOGY & METABOLIC SYNDROME, 2023, 15 (01):