PIWIL genes in hepatocellular carcinoma: a multi-omics approach uncovering dysregulated expression and ceRNA networks in mice

被引:0
|
作者
Huang, Hailing [1 ]
Lu, Ruiqun [1 ]
Peng, Shenni [1 ]
Huang, Shi [1 ]
Mo, Yinyin [1 ]
Li, Genliang [1 ]
机构
[1] YouJiang Med Univ Nationalities, Baise 533000, Peoples R China
来源
BMC GENOMIC DATA | 2024年 / 25卷 / 01期
关键词
PIWIL genes; Regulatory ncRNA-mediated Gene Silencing; Hepatocellular Carcinoma; Multi-omics; Dysregulated expression; ceRNA networks; Pathway associations; Mice; INTERACTING RNA; ROLES;
D O I
10.1186/s12863-024-01283-1
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
This multi-omics study delves into the expression patterns of PIWIL genes and their correlation with hepatocellular carcinoma (HCC) progression, utilizing whole transcriptome sequencing, bioinformatics, and reverse transcription quantitative polymerase chain reaction (RT-qPCR) in mice. We identified differential expression levels of PIWIL genes between HCC and control tissues and analyzed their roles within the competing endogenous RNA (ceRNA) network related to regulatory non-coding RNA-mediated gene silencing (RNGS). Our findings showed that Piwil1 and Piwil4 were overexpressed while Piwil2 is underexpressed. As ceRNAs, specific lncRNAs, including Pvt1, Gas5, and BGIGI10090_38749, might sponge up miR-351-5p and miR-31-5p, promoting Piwil1 and Piwil4 expression, while miR-133b-3p, lacking ceRNA sponge absorption, continues to inhibit Piwil2. Through their interactions with PPI proteins encoded by RNGS genes, especially Dhx9, Drosha, Mov10, and Tdrd1, PIWI family members might play a multifaceted role in regulating gene expression and metabolic processes, thereby involving the development and progression of HCC. These interactions within the PPI network could influence the stability and activity of PIWIL proteins and contribute to the overall regulation of gene expression and HCC progression. In the RNGS, a diverse array of miRNAs, genes, lncRNAs, circRNAs, and pseudogenes have been observed, which are suggested to intricately interplay, potentially weaving a complex ceRNA regulatory network. Abnormally expressed miRNA-targeted genes in RNGS are associated with key biological processes, such as lipid metabolism and immune responses, crucial for tumor cell survival, and processes supporting tumor growth and invasion, like translation and cytoskeleton organization. This regulation is reflected in distinct KEGG pathways for downregulated and upregulated targets, highlighting the dualistic role of PIWIL genes in modulating HCC progression. The study concludes that PIWI family members have a correlation with HCC progression and play divergent roles in the pathogenesis, with overexpression of the Piwil1 and Piwil4 potentially promoting HCC progression and underexpression of Piwil2 likely suppressing tumor development. The ceRNA mechanism and PPI network are crucial in regulating the expression and function of PIWIL genes, respectively. The intricate ceRNA network potentially regulates the expression of miRNA-targeted genes in RNGS, which might be crucial for tumor survival and promotion, with impacts on immune responses and cell growth based on enriching results of dysregulated miRNA-targeted genes in HCC. By shedding light on the molecular intricacies of HCC, this multi-omics study underscores the pivotal roles of epigenetic regulations, especially the influence of PIWI family genes with other genes and ncRNAs in the RNGS process in HCC pathology. The findings offer valuable insights into the molecular mechanisms underpinning HCC, which may inform future research into potential targets for therapeutic intervention. The future research could benefit from integrating a diverse range of methodologies to further elucidate the roles of PIWIL genes in HCC progression, building upon the findings presented here.
引用
收藏
页数:12
相关论文
共 50 条
  • [31] Title: Multi-Omics and Immune Landscape of Proliferative LncRNA Signatures: Implications for Risk Stratification and Immunotherapy in Hepatocellular Carcinoma
    Liu, Chi
    Gao, Jie
    Yang, Dongjing
    Yu, Qiwen
    Zhang, Shuijun
    FRONTIERS IN PHARMACOLOGY, 2022, 13
  • [32] Tumor Prognostic Risk Model Related to Monocytes/Macrophages in Hepatocellular Carcinoma Based on Machine Learning and Multi-Omics
    Wan, Xinliang
    Zou, Yongchun
    Zhou, Qichun
    Tang, Qing
    Zhu, Gangxing
    Jia, Luyu
    Yu, Xiaoyan
    Mo, Handan
    Yang, Xiaobing
    Wang, Sumei
    BIOLOGICAL PROCEDURES ONLINE, 2025, 27 (01)
  • [33] Uncovering the molecular networks of ferroptosis in the pathogenesis of type 2 diabetes and its complications: a multi-omics investigation
    Dong, Changqing
    Huoshen, Wuda
    Bai, Yunfeng
    Liu, Jiaona
    Li, Bing
    Guan, Yucan
    Luo, Ping
    MOLECULAR MEDICINE, 2024, 30 (01)
  • [34] The integration of machine learning and multi-omics analysis provides a powerful approach to screen aging-related genes and predict prognosis and immunotherapy efficacy in hepatocellular carcinoma
    Shen, Jiahui
    Gao, Han
    Li, Bowen
    Huang, Yan
    Shi, Yinfang
    AGING-US, 2023, 15 (14): : 6848 - 6864
  • [35] Integrative multi-omics analysis reveals a novel subtype of hepatocellular carcinoma with biological and clinical relevance
    Li, Shizhou
    Lin, Yan
    Gao, Xing
    Zeng, Dandan
    Cen, Weijie
    Su, Yuejiao
    Su, Jingting
    Zeng, Can
    Huang, Zhenbo
    Zeng, Haoyu
    Huang, Shilin
    Tang, Minchao
    Li, Xiaoqing
    Luo, Min
    Huang, Zhihu
    Liang, Rong
    Ye, Jiazhou
    FRONTIERS IN IMMUNOLOGY, 2024, 15
  • [36] Multi-omics analysis of pyroptosis regulation patterns and characterization of tumor microenvironment in patients with hepatocellular carcinoma
    Shang, Bingbing
    Wang, Ruohan
    Qiao, Haiyan
    Zhao, Xixi
    Wang, Liang
    Sui, Shaoguang
    PEERJ, 2023, 11
  • [37] Identification of Tumor Mutation Burden and Immune Infiltrates in Hepatocellular Carcinoma Based on Multi-Omics Analysis
    Yin, Lu
    Zhou, Liuzhi
    Xu, Rujun
    FRONTIERS IN MOLECULAR BIOSCIENCES, 2021, 7
  • [38] Integrated Multi-Omics Data Analysis Reveals Associations Between Glycosylation and Stemness in Hepatocellular Carcinoma
    Liu, Peiyan
    Zhou, Qi
    Li, Jia
    FRONTIERS IN ONCOLOGY, 2022, 12
  • [39] Advanced mass spectrometry-based multi-omics technologies for exploring the pathogenesis of hepatocellular carcinoma
    Nie, Wenna
    Yan, Leyu
    Lee, Yie H.
    Guha, Chandan
    Kurland, Irwin J.
    Lu, Haitao
    MASS SPECTROMETRY REVIEWS, 2016, 35 (03) : 331 - 349
  • [40] Prognostic alternative splicing and multi-omics characteristics reveal FTCD is a potential target of hepatocellular carcinoma
    Zhang, Yanli
    Li, Wenxing
    Sun, Mengyi
    Zhang, Lisheng
    DISCOVER ONCOLOGY, 2024, 15 (01)