Screening of candidate genes in fibroblasts derived from patients with Dupuytren’s contracture using bioinformatics analysis

被引:0
作者
Haoyu Liu
Weitian Yin
Biao Liu
Yan Liu
Baofeng Guo
Zhuang Wei
机构
[1] China-Japan Union Hospital of Jilin University,Department of Hand Surgery
来源
Rheumatology International | 2015年 / 35卷
关键词
Dupuytren’s contracture; Bioinformatics analysis; Differentially expressed genes; Pathway analysis; Expression correlation network;
D O I
暂无
中图分类号
学科分类号
摘要
Our study aimed to identify candidate genes associated with Dupuytren’s contracture (DC) and elucidate their roles in DC development. The microarray data of GSE21221 were downloaded from Gene Expression Omnibus database, including six samples from carpal tunnel-derived fibroblasts and six samples from DC-derived fibroblasts. The differentially expressed genes (DEGs) in DC samples were screened using limma package. GO annotation and KEGG pathway analyses were performed by DAVID online tool. Protein–protein interaction network and expression correlation network were constructed to identify crucial relationships between DEGs. Finally, candidate DC-associated genes were predicted based on comparative toxicogenomics database. A total of 529 DEGs (138 up- and 391 down-regulated) in DC-derived fibroblasts were screened and compared with carpal tunnel-derived fibroblasts. Only ten DC-associated genes, such as neurotrophin 3 (NTF3) and protein kinase C, epsilon (PRKCE), were further screened. In addition, NTF3 was significantly enriched in MAPK signaling pathway, in which other DEGs, such as nuclear receptor subfamily 4, group A, member 1 (NR4A1), fibroblast growth factor 22 (FGF22) and BDNF, were enriched. Besides, NTF3 could co-express with fibrillin 2 (FBN2), and PRKCE could co-express with zinc finger protein 516 (ZNF516), solute carrier organic anion transporter family, member 2A1 (SLCO2A1), chromosome 10 open reading frame 10 (C10orf10) and Kelch domain containing 7A (KLHDC7A). Our study indicates that these DEGs, including NTF3, FBN2, NR4A1, FGF22, BDNF, PRKCE, ZNF516, SLCO2A1, C10orf10 and KLHDC7A, may play important roles in DC development and serve as candidate molecular targets for treating DC.
引用
收藏
页码:1343 / 1350
页数:7
相关论文
共 40 条
  • [21] Bioinformatics-based identification of key candidate genes and signaling pathways in patients with Parkinson's disease and obstructive sleep apnea
    Tang, Huan
    Zhang, Kejia
    Zhang, Chi
    Zheng, Kai
    Gui, Luying
    Yan, Bin
    SLEEP AND BREATHING, 2024, 28 (03) : 1477 - 1489
  • [22] Screening and identification of hub genes for ischemic cardiomyopathy and construction and validation of a clinical prognosis model using bioinformatics analysis
    Wang, Jing
    Tang, Liying
    Bai, Yuzhi
    Zhao, Xia
    Tian, Tian
    Mihos, Christos G.
    Delmo, Eva Maria Javier
    Li, Pei
    JOURNAL OF THORACIC DISEASE, 2024, 16 (04) : 2421 - 2431
  • [23] Screening the hub genes and analyzing the mechanisms in discharged COVID-19 patients retesting positive through bioinformatics analysis
    Fang, Ke-Ying
    Liang, Gui-Ning
    Zhuang, Zhuo-Qing
    Fang, Yong-Xin
    Dong, Yu-Qian
    Liang, Chuang-Jia
    Chen, Xin-Yan
    Guo, Xu-Guang
    JOURNAL OF CLINICAL LABORATORY ANALYSIS, 2022, 36 (07)
  • [24] Identifying key genes, pathways and screening therapeutic agents for manganese-induced Alzheimer disease using bioinformatics analysis
    Ling, JunJun
    Yang, Shengyou
    Huang, Yi
    Wei, Dongfeng
    Cheng, Weidong
    MEDICINE, 2018, 97 (22)
  • [25] Bioinformatics-based screening and analysis of the key genes involved in the influence of antiangiogenesis on myeloid-derived suppressor cells and their effects on the immune microenvironment
    Zhao, Xiangfei
    Zhao, Rugang
    Wen, Juyi
    Zhang, Xia
    Wu, Shanshan
    Fang, Juan
    Ma, Junpeng
    Gao, Lipin
    Hu, Yi
    MEDICAL ONCOLOGY, 2024, 41 (05)
  • [26] Screening and function analysis of key genes and signaling pathways in Alzheimer’s disease via next generation sequencing data analysis and bioinformatics approaches
    Basavaraj Vastrad
    Chanabasayya Vastrad
    Genome Instability & Disease, 2025, 6 (1) : 42 - 59
  • [27] Identifying C1QB, ITGAM, and ITGB2 as potential diagnostic candidate genes for diabetic nephropathy using bioinformatics analysis
    Hu, Yongzheng
    Yu, Yani
    Dong, Hui
    Jiang, Wei
    PEERJ, 2023, 11
  • [28] Proteomic Analysis of Dupuytren's Contracture-Derived Sweat Glands Revealed the Synthesis of Connective Tissue Growth Factor and Initiation of Epithelial-Mesenchymal Transition as Major Pathogenetic Events
    Cardenas-Leon, Claudia Griselda
    Maemets-Allas, Kristina
    Klaas, Mariliis
    Maasalu, Katre
    Jaks, Viljar
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2023, 24 (02)
  • [29] The different characteristics of Dupuytren's disease fibroblasts derived from either nodule or cord:: Expression of α-smooth muscle actin and the response, to stimulation by TGF-β1
    Bisson, MA
    McGrouther, DA
    Mudera, V
    Grobbelaar, AO
    JOURNAL OF HAND SURGERY-BRITISH AND EUROPEAN VOLUME, 2003, 28B (04) : 351 - 356
  • [30] Identification of key pathways and genes shared between Crohn's disease and breast cancer using bioinformatics analysis
    Zhou, Jiang
    Yang, Rongcun
    ONCOLOGY LETTERS, 2020, 20 (04)