中国组织工程研究 ›› 2021, Vol. 25 ›› Issue (11): 1641-1646.doi: 10.3969/j.issn.2095-4344.3107

• 骨组织构建 bone tissue construction •    下一篇

绝经后骨质疏松症关联长链非编码RNA uc431+相互作用蛋白质组学分析

李生强,谢冰颖,陈  娟,谢丽华,黄景文,葛继荣   

  1. 福建省中医药科学院基础研究所 骨质疏松证候基因组学研究室,福建省福州市   350003
  • 收稿日期:2020-04-27 修回日期:2020-04-28 接受日期:2020-05-28 出版日期:2021-04-18 发布日期:2020-12-21
  • 通讯作者: 葛继荣,博士,研究员,博士生导师,福建省中医药科学院基础研究所 骨质疏松证候基因组学研究室,福建省福州市 350003
  • 作者简介:李生强,男,1979年生,福建省三明市人,汉族,博士,副研究员,主要从事中医药防治骨质疏松研究。
  • 基金资助:
    国家自然科学基金资助项目(81774350);福建省自然科学基金项目(2019J01339)

Interaction proteomics of long noncoding RNA uc431+ gene in postmenopausal osteoporosis

Li Shengqiang, Xie Bingying, Chen Juan, Xie Lihua, Huang Jingwen, Ge Jirong   

  1. Department of Osteoporosis Syndrome Genomics, Institute of Basic Research, Fujian Academy of Chinese Medical Sciences, Fuzhou 350003, Fujian Province, China
  • Received:2020-04-27 Revised:2020-04-28 Accepted:2020-05-28 Online:2021-04-18 Published:2020-12-21
  • Contact: Ge Jirong, PhD, Researcher, Doctoral supervisor, Department of Osteoporosis Syndrome Genomics, Institute of Basic Research, Fujian Academy of Chinese Medical Sciences, Fuzhou 350003, Fujian Province, China
  • About author:Li Shengqiang, PhD, Associate researcher, Department of Osteoporosis Syndrome Genomics, Institute of Basic Research, Fujian Academy of Chinese Medical Sciences, Fuzhou 350003, Fujian Province, China
  • Supported by:
    the National Natural Science Foundation of China, No. 81774350; the Natural Science Foundation of Fujian Province, No. 2019J01339

摘要:

文题释义:
长链非编码RNA:没有编码蛋白潜力的RNA系列,称之为非编码RNA(noncoding RNA,ncRNA)。根据其长度是否超过200个核苷酸,非编码RNA分为小分子ncRNA(small noncoding RNA)及长链非编码 RNA(long noncoding RNA,lncRNA)。lncRNA位于细胞核或胞质内,可形成二级结构,可与蛋白质、DNA和RNA相互作用。目前已发现lncRNA可通过多种机制(如染色质重塑、剪接调控、mRNA降解和翻译调控等)、在多种层面上(如表观遗传调控、转录调控、转录后调控)调控基因的表达,并可与靶基因或靶蛋白构成细胞内复杂的调节网络,既参与机体内多种重要的生理过程,也参与调节机体的各种病理过程。
相互作用蛋白质组学:是一种基于质谱技术对蛋白质-蛋白质、蛋白质-核酸、蛋白质-药物/小分子化合物的相互作用进行大规模定性或定量研究的蛋白质组学方法。采用免疫沉淀或者pull down等亲和分离方法,将与特定分子结合的蛋白质进行分离,再采用质谱的方法进行定性或定量,获得一定数目的差异蛋白-相互作用蛋白,利用生物信息学对差异蛋白进行GO分析、信号通路预测及相互作用网络构建等分析预测,是研究蛋白质相互作用的重要工具。

背景:过表达LncRNA TUG1促进破骨细胞的增殖及抑制凋亡,采用siRNA敲低则取得了相反的结果,表明敲低LncRNA TUG1可能成为一个骨质疏松治疗的潜在靶点。
目的:研究与绝经后骨质疏松症关联非编码RNA uc431+相互作用的蛋白组并进行生物信息学分析。 
方法:将甲醛交联的人单核细胞白血病细胞株(THP-1)细胞超声破碎,实验组与结合生物素标记的特异性探针的磁珠进行杂交,对照组与非特异性探针的磁珠进行杂交,获得的与非编码RNA uc431+结合的多肽进行质谱分析,获得的数据使用 MaxQuant 进行搜库和定量分析。对2组样品的定量结果进行统计学分析,得到对应的富集蛋白,并进行 GO、KEGG通路、蛋白互作分析和展示,构建蛋白质相互作用网络。
结果与结论:①获得的多肽总数为918条,蛋白总数为271个,过滤后蛋白总数为241个,与对照组相比,实验组差异蛋白为10个:DDOST、DMBT1、HPD、IGLL5、IGK、LTF、LYZ、MUC5AC、PIGR及RPL23;②GO富集分析表明,它们参与防御反应、白细胞激活等生物学过程及核糖体rRNA结合、溶菌酶活性等分子功能;③Kegg通路分析预测它们参与辅酶Q生物合成、苯丙氨酸代谢、核糖体信号肽及唾液分泌等信号通路;④结合蛋白质组学及生物信息学分析,预测绝经后骨质疏松症关联非编码RNA uc431+可能通过互作蛋白参与免疫调节及骨代谢过程。

https://orcid.org/0000-0003-3077-6144 (李生强)

中国组织工程研究杂志出版内容重点:组织构建;骨细胞;软骨细胞;细胞培养;成纤维细胞;血管内皮细胞;骨质疏松;组织工程



关键词: 骨质疏松症, 绝经, 非编码RNA, 蛋白组学, 质谱, 乳铁蛋白, 骨代谢, 生物信息学

Abstract: BACKGROUND: Overexpression of LncRNA TUG1 promotes osteoclast proliferation and inhibits apoptosis. Knockdown with siRNA has achieved the opposite result, indicating that knockdown of LncRNA TUG1 may become a potential target for osteoporosis treatment.
OBJECTIVE: To study the proteins interacting with the non-coding RNA uc431+ associated with postmenopausal osteoporosis and carry out bioinformatics analysis. 
METHODS: Human monocytic leukemia cell line (THP-1) cells crosslinked with formaldehyde were broken by ultrasound. The experimental group was hybridized with magnetic beads combined with biotin labeled specific probes. The control group was hybridized with the magnetic beads of non-specific probes. The obtained peptides were identified using mass spectrometry. The data were searched and quantified by MaxQuant. The quantitative results of the two sets of samples were statistically analyzed, and the corresponding enrichment proteins were obtained. Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, protein-protein interaction analysis and display were performed, and the protein-protein interaction network was constructed. 
RESULTS AND CONCLUSION: The total number of peptides obtained was 918, with 271 proteins in total, and the total number of proteins after filtration was 241. Compared with the control group, there were 10 differential proteins in the experimental group, including DDOST, DMBT1, HPD, IGLL5, IGK, LTF, LYZ, MUC5AC, PIGR, and RPL23. GO enrichment analysis showed that they were involved in biological processes such as defense reaction, leukocyte activation, ribosomal rRNA binding, lysozyme activity and other molecular functions. KEGG pathway analysis predicted that they were involved in ubiquinone and other terpenoid-quinone biosynthesis, phenylalanine metabolism, ribosome and salivary secretion. Combined with the analysis of proteomics and bioinformatics, it is predicted that uc431+, a gene related to postmenopausal osteoporosis, may be involved in immune regulation and bone metabolism by interacting proteins.
Key words: osteoporosis; menopause; non-coding RNA; proteomics; mass spectrum; lactoferrin; bone metabolism; bioinformatics


Key words: osteoporosis, menopause, non-coding RNA, proteomics, mass spectrum, lactoferrin, bone metabolism, bioinformatics

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