Integrated analysis of transcriptome and proteome reveals a core set of genes involved in osteoblast under oxidative stress

被引:0
|
作者
Mao, Yixin [1 ,2 ,3 ]
Ye, Qianru [4 ]
Zhao, Shufan [2 ,5 ]
Sun, Xiaoyu [2 ]
Li, Bin [2 ]
Ping, Yifan [2 ]
Jiang, Tianle [2 ]
Gao, Jia [2 ]
Chen, Wenxia [2 ]
Jiang, Haofu [2 ]
Wu, Gang [6 ]
Huang, Shengbin [1 ,2 ]
Chen, Yang [1 ,2 ]
Jaspers, Richard T. [3 ]
机构
[1] Wenzhou Med Univ, Sch & Hosp Stomatol, Dept Prosthodont, Wenzhou 325027, Peoples R China
[2] Wenzhou Med Univ, Sch & Hosp Stomatol, Inst Stomatol, Wenzhou 325027, Peoples R China
[3] Vrije Univ Amsterdam VUA, Fac Behav & Movement Sci, Dept Human Movement Sci, Lab Myol,Amsterdam Movement Sci, NL-1081 HZ Amsterdam, Netherlands
[4] Wenzhou Med Univ, Sch Pharmaceut Sci, Wenzhou 325035, Zhejiang, Peoples R China
[5] Wenzhou Med Univ, Sch & Hosp Stomatol, Dept Oral & Maxillofacial Surg, Wenzhou 325000, Zhejiang, Peoples R China
[6] Hangzhou Med Coll, Savaid Stomatol Sch, Hangzhou 311399, Zhejiang, Peoples R China
基金
中国国家自然科学基金;
关键词
Osteoblasts; Oxidative stress; Proteomic analysis; Transcriptomic analysis; HEME OXYGENASE-1 EXPRESSION; UP-REGULATION; MITOCHONDRIAL DYSFUNCTION; INDUCED APOPTOSIS; CELLS; GROWTH; MINERALIZATION; TUMORIGENESIS; PATHOGENESIS; MACROPHAGES;
D O I
10.1016/j.bbrc.2024.150910
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Osteoblasts dysfunction, induced by oxidative stress (OS), is a significant contributor to the pathogenesis of osteoporosis. However, the genes implicated in regulating osteoblast dysfunction remain unclear. Here, we employed the hydrogen peroxide (H2O2)-induced osteoblast dysfunction model to assess its impact on osteoblast phenotype and to conduct transcriptome and proteome analyses in osteoblasts under OS. We identified 164 genes and 186 proteins with altered expression (differentially expressed genes (DEGs) and differentially expressed proteins (DEPs), respectively). Functional analysis using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways revealed enrichment in pathways associated with apoptosis and osteoblast differentiation. We constructed a protein-protein interaction (PPI) network of DEPs, which comprised 175 DEPs as nodes. Furthermore, seven key DEGs and DEPs with positive correlation (cor-DEGs-DEPs genes) were characterized based on the integrated analysis of mRNA-protein expression. Among these seven genes, Ho-1, Fosl1, and Fosl2 were shown to be upregulated, associated with OS-induced cell differentiation impairment and apoptosis. Conversely, Ccnd2, Col1 alpha 1, Col12 alpha 1, and Fgfr2 were shown to be downregulated, linked to OS-induced cell cycle delay, apoptosis, impaired mineralization, and differentiation. PPI analysis revealed interactions between these key genes. Lastly, we validated these genes at both mRNA and protein levels using qRT-PCR and Western blot experiments. This study identified seven candidate genes potentially involved in the detrimental effects of OS on MC3T3-E1 apoptosis and dysfunction. These findings offer new insights into how OS disrupts bone formation and may contribute to the development of osteoporosis.
引用
收藏
页数:14
相关论文
共 50 条
  • [1] Integrated transcriptome and proteome analysis reveals posttranscriptional regulation of ribosomal genes in human brain organoids
    Sidhaye, Jaydeep
    Trepte, Philipp
    Sepke, Natalie
    Novatchkova, Maria
    Schutzbier, Michael
    Duernberger, Gerhard
    Mechtler, Karl
    Knoblich, Juergen A.
    ELIFE, 2023, 12
  • [2] Transcriptome sequencing reveals genes involved in cadmium-triggered oxidative stress in the chicken heart
    Yu, Chunlin
    Qiu, Mohan
    Zhang, Zengrong
    Song, Xiaoyan
    Du, Huarui
    Peng, Han
    Li, Qingyun
    Yang, Li
    Xiong, Xia
    Xia, Bo
    Hu, Chenming
    Chen, Jialei
    Jiang, Xiaosong
    Yang, Chaowu
    POULTRY SCIENCE, 2021, 100 (03)
  • [3] Global Transcriptome Analysis Reveals Corresponding Genes and Key Pathways Involved in Oxidative Stress in Mouse Small Intestinal Cells
    He, Y.
    Feng, C. P.
    Li, J. L.
    Du, R.
    MOLECULAR BIOLOGY, 2024, 58 (04) : 790 - 802
  • [4] Integrated transcriptome and proteome analysis reveals complex regulatory mechanism of cotton in response to salt stress
    Chen Lin
    Sun Heng
    Kong Jie
    Xu Haijiang
    Yang Xiyan
    JOURNAL OF COTTON RESEARCH, 2021, 4 (01)
  • [5] Meta-Analysis of the Transcriptome Reveals a Core Set of Shade-Avoidance Genes in Arabidopsis
    Sellaro, Romina
    Pacin, Manuel
    Casal, Jorge J.
    PHOTOCHEMISTRY AND PHOTOBIOLOGY, 2017, 93 (03) : 692 - 702
  • [6] Transcriptome analysis reveals the key pathways and candidate genes involved in salt stress responses in Cymbidium ensifolium leaves
    Li, Xiang
    Liu, Lanlan
    Sun, Shixian
    Li, Yanmei
    Jia, Lu
    Ye, Shili
    Yu, Yanxuan
    Dossa, Komivi
    Luan, Yunpeng
    BMC PLANT BIOLOGY, 2023, 23 (01)
  • [7] Transcriptome Analysis Reveals the Genes Involved in Oxidative Stress Responses of Scallop to PST-Producing Algae and a Candidate Biomarker for PST Monitoring
    Zhang, Xiangchao
    Xun, Xiaogang
    Meng, Deting
    Li, Moli
    Chang, Lirong
    Shi, Jiaoxia
    Ding, Wei
    Sun, Yue
    Wang, Huizhen
    Bao, Zhenmin
    Hu, Xiaoli
    ANTIOXIDANTS, 2023, 12 (06)
  • [8] Comparative transcriptome analysis of Poncirus trifoliata identifies a core set of genes involved in arbuscular mycorrhizal symbiosis
    An, Jianyong
    Sun, Mengqian
    van Velzen, Robin
    Ji, Chuanya
    Zheng, Zijun
    Limpens, Erik
    Bisseling, Ton
    Deng, Xiuxin
    Xiao, Shunyuan
    Pan, Zhiyong
    JOURNAL OF EXPERIMENTAL BOTANY, 2018, 69 (21) : 5255 - 5264
  • [9] Transcriptome analysis reveals corresponding genes and key pathways involved in heat stress in Hu sheep
    Li, Y. X.
    Feng, X. P.
    Wang, H. L.
    Meng, C. H.
    Zhang, J.
    Qian, Y.
    Zhong, J. F.
    Cao, S. X.
    CELL STRESS & CHAPERONES, 2019, 24 (06) : 1045 - 1054
  • [10] Integrative DNA methylome and transcriptome analysis reveals DNA adenine methylation is involved in Salmonella enterica Typhimurium response to oxidative stress
    Zhang, Wenting
    Lyu, Lin
    Xu, Zhihiong
    Ni, Jinjing
    Wang, Danni
    Lu, Jie
    Yao, Yu-Feng
    MICROBIOLOGY SPECTRUM, 2023,