Chinese Journal of Tissue Engineering Research ›› 2021, Vol. 25 ›› Issue (11): 1641-1646.doi: 10.3969/j.issn.2095-4344.3107

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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

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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